Urban Science doi: 10.3390/urbansci8010021
Authors: Carmine Massarelli Vito Felice Uricchio
This study focuses on the analysis, implementation and integration of techniques and methods, also based on mathematical algorithms and artificial intelligence (AI), to acquire knowledge of some phenomena that produce pollution with an impact on environmental health, and which start from illicit practices that occur in urban areas. In many urban areas (or agroecosystems), the practice of illegal waste disposing by commercial activities, by abandoning it in the countryside rather than spending economic resources to ensure correct disposal, is widespread. This causes an accumulation of waste in these areas (which can also be protected natural areas), which are then also set on fire to reduce their volume. Obviously, the repercussions of such actions are many. The burning of waste releases contaminants into the environment such as dioxins, polychlorinated biphenyls and furans, and deposits other elements on the soil, such as heavy metals, which, by leaching and percolating, contaminate water resources such as rivers and aquifers. The main objective is the design and implementation of monitoring programs against specific illicit activities that take into account territorial peculiarities. This advanced approach leverages AI and GIS environments to interpret environmental states, providing an understanding of ongoing phenomena. The methodology used is based on the implementation of mathematical and AI algorithms, integrated into a GIS environment to address even large-scale environmental issues, improving the spatial and temporal precision of the analyses and allowing the customization of monitoring programs in urban and peri-urban environments based on territorial characteristics. The results of the application of the methodology show the percentages of the different types of waste found in the agroecosystems of the study area and the degree of concentration, allowing the identification of similar areas with greater criticality. Subsequently, through network and nearest neighbour analysis, it is possible to start targeted checks.
]]>Urban Science doi: 10.3390/urbansci8010020
Authors: Marbrisa N. R. das Virgens Patricia L. Brito Ricardo Lustosa Julio Pedrassoli Philipp Ulbrich João Porto de Albuquerque Marcos Rodrigo Ferreira Fernando G. Severo Alessandra da S. Figueiredo Marcel Fantin Hussein Khalil Federico Costa
Cartographic resources play a crucial role in facilitating communication across various sectors, including research projects focused on low-income communities. Despite this, some researchers still adhere to colonialist and exploitative approaches. This study aims to promote equitable university–community interaction though cartographic resources, aid academic and vulnerable community users in choosing a better platform for their work, and provide insights to developers for improving the platforms to better serve the user profiles of community members. To achieve this, we examined the use of cartographic resources in five projects within low-income communities (commonly referred to as favelas or so-called “slums”) in three Brazilian cities, all guided by equitable principles. The study unfolds in four stages: (i) data collection from documents and interviews; (ii) systematization into seven analytical categories—cartographic resources, data, personnel, processes, equipment, general objectives, and specific objectives; (iii) analysis of eight cartographic resources; and (iv) a critical examination of the outcomes. The synthesis of the collected information identified 65 characteristics/demands, with 17 common to all projects, including vector feature creation, thematic map design, printed map usage, and satellite imagery. We also identified 53 geographic information system (GIS) functionalities required for the projects, predominantly related to vector data generation and editing. The outcomes demonstrate the benefits of project methodologies, contributing to a decolonial university–community praxis. Additionally, they underscore the potential of digital cartographic resources, functioning not solely as data collection tools but also as powerful instruments that empower slum residents to advocate for improvements and foster local development.
]]>Urban Science doi: 10.3390/urbansci8010019
Authors: Valeria Placidi Michele Cenci Francesco Castellani Marta Falasca
The increasingly complex dynamics of urban planning require an innovative approach to land use suitability analyses and environmental assessments. Traditionally, these disciplines have provided a critical foundation for sustainable urban development, but the current acceleration of change requires renewed attention to technology and innovation. The integration of advanced territorial data is emerging as a key element to enrich the analysis and mapping of the landscape. This type of data allows for an updated and objective view of reality, providing urban planners and decision makers with a dynamic tool to quickly adapt to evolving urban needs. The use of new technologies increases the accuracy and effectiveness of these analyses, enabling more efficient and sustainable urban planning. This article explores how innovation and technology are transforming the field of land use suitability analyses and environmental assessments and provides real-life examples of how advanced territorial data can be used to model the landscape more accurately in the case of Umbria, a region in Italy characterised by a rich cultural history and picturesque landscapes. Umbria, with its unique geography and delicate environmental balance, provides a fertile ground for exploring how the implementation of territorial databases can contribute to the responsible management of industrial activities. This case study represents an important first step in applying a QGIS and Python geoprocessing approach to these issues. The methodology starts with the creation of territorial data and includes a post-processing phase using Python. This integrated approach not only provides an updated and objective view of the landscape but also represents the first instance in the literature of a study applied to such a small and environmentally rich region as Umbria.
]]>Urban Science doi: 10.3390/urbansci8010018
Authors: Anthony Boanada-Fuchs Monika Kuffer Jota Samper
Slums are a structural feature of urbanization, and shifting urbanization trends underline their significance for the cities of tomorrow. Despite their importance, data and knowledge on slums are very limited. In consideration of the current data landscape, it is not possible to answer one of the most essential questions: Where are slums located? The goal of this study is to provide a more nuanced understanding of the geography of slums and their growth trajectories. The methods rely on the combination of different datasets (city-level slum maps, world cities, global human settlements layer, Atlas of Informality). Slum data from city-level maps form the backbone of this research and are made compatible by differentiating between the municipal area, the urbanized area, and the area beyond. This study quantifies the location of slums in 30 cities, and our findings show that only half of all slums are located within the administrative borders of cities. Spatial growth has also shifted outwards. However, this phenomenon is very different in different regions of the world; the municipality captures less than half of all slums in Africa and the Middle East but almost two-thirds of all slums in cities of South Asia. These insights are used to estimate land requirements within the Sustainable Development Goals time frame. In 2015, almost one billion slum residents occupied a land area as large as twice the size of the country of Portugal. The estimated 380 million residents to be added up to 2030 will need land equivalent to the size of the country of Egypt. This land will be added to cities mainly outside their administrative borders. Insights are provided on how this land demand differs within cities and between world regions. Such novel insights are highly relevant to the policy actions needed to achieve Target 11.1 of the Sustainable Development Goals (“by 2030, ensure access for all to adequate, safe and affordable housing and basic services, and upgrade slums”) as interventions targeted at slums or informal settlements are strongly linked to political and administrative boundaries. More research is needed to draw attention to the urban expansion of cities and the role of slums and informal settlements.
]]>Urban Science doi: 10.3390/urbansci8010017
Authors: Weiwen Zhou Elise Miller-Hooks Sagar Sahasrabudhe
Increasing popularity in gig employment has enabled the use of an at-will workforce of self-contracted couriers to participate in many service industries serving urban areas. This gig workforce has come to play a particularly important role in the growing meal delivery service industry. Hiring at-will couriers for delivery job fulfillment can decrease the costs of satisfying nonstationary demand. However, at-will workers can show up for work at their will and without notice. Thus, this puts the service performance of the delivery company that relies on effective workforce management to ensure timely delivery of orders at risk. This work investigates the tradeoffs between using such an at-will workforce of couriers in place of a fixed fleet of drivers in servicing a meal delivery environment. A stochastic DES with tabu search heuristic and embedded ejection chain approach for optimal delivery job bundling, routing, and assignment was developed and run within a rolling horizon framework to replicate the dynamics of the meal delivery setting. Condition Value at Risk (CVaR) is adopted to measure the risk of late delivery due to uncertainty in workforce availability. Results from a numerical case study with 25 restaurants and 613 orders arriving over a 14-h period show tradeoffs from using at-will couriers in place of a comparable fixed fleet of drivers in terms of delivery resource utilization, efficiency risk of failing to satisfying orders and risk of significantly late delivery. Results indicate that using at-will couriers for meal delivery can enable more efficient use of delivery resources, but at the cost of a higher risk of late delivery, and sometimes intolerably late delivery, as compared to using a fixed fleet of drivers to fulfill orders.
]]>Urban Science doi: 10.3390/urbansci8010016
Authors: Sarah A. Chauncey H. Patricia McKenna
The purpose of this study is to advance conceptual understandings of the cognitive flexibility construct, in support of creativity and innovation in smart city civic spaces, employing the use of large language model artificial intelligence chatbots such as ChatGPT. Based on a review of the research and practice literature, this study formulates a conceptual framework for cognitive flexibility in support of creativity and innovation in AI environments, adaptable to smart cities. A research design is used that employs AI as a design material, in combination with a topical inquiry involving boundary setting and perspective taking, to co-pilot an exploration with ChatGPT-3.5/4. This study operationalizes the framework for applications to learning approaches, addressing flexibility and inclusivity in smart city spaces and regions. With the rapid evolving of chatbot technologies, ChatGPT-4 is used in the exploration of a speculative real-world urban example. This work is significant in that AI chatbots are explored for application in urban spaces involving creative ideation, iteration, engagement, and cognitive flexibility; future directions for exploration are identified pertaining to ethical and civil discourse in smart cities and learning cities, as well as the notion that AI chatbots and GPTs (generative pre-trained transformers) may become a zeitgeist for understanding and learning in smart cities.
]]>Urban Science doi: 10.3390/urbansci8010015
Authors: Leonardo Seabra Furtado Raimundo Vitor Santos Pereira Everaldo Barreiros de Souza
This work contributes to the studies on landscape mapping induced by human pressure directly related to the urbanization process, whose approach is based on the concept of hemeroby adapted to the metropolitan area of Belém in the eastern Amazon. The mapping results using 1985 and 2021 Landsat satellite data indicated that the artificial coverage characterized as medium to the high urban system (polyhemerobic and metahemerobic degrees) has increased by almost 17% toward northern districts and Outeiro/Mosqueiro islands, while the natural vegetation cover suppression (ahemerobic degree) was around 11%. In addition, we investigated the impacts of urban expansion on seasonal (WET from January to April and DRY from July to November) surface air temperature (minimum TN and maximum TX) patterns. From statistical comparisons between 18-year samples (2004/2021 to 1985/2002), we find evidence of a current significantly warmer climate, with a notable indication of higher surface temperature over densely urbanized areas compared to lower values over natural areas. In the TX climatology, particularly for the DRY regime, we identified a pattern similar to the classic heat island model with concentric isotherms reaching a maximum center over the more urbanized continental region of Belém and a thermal decrease at the edges. Therefore, the findings of this work are convincing that Belém already faces the direct impacts of urbanization on the local climate, so it is crucial to develop government strategies aimed at taking action to mitigate socioenvironmental risks and threats to the well-being of urban populations.
]]>Urban Science doi: 10.3390/urbansci8010014
Authors: Seyed Ali Alavi Saeed Esfandi Amir Reza Khavarian-Garmsir Safiyeh Tayebi Aliakbar Shamsipour Ayyoob Sharifi
This research aims to analyze the relationship between environmental justice and urban green space connectivity in Tehran, Iran. The evaluation of green space connectivity in this study is conducted through two distinct cost layers: one aimed at enhancing existing connections and another focused on establishing new green spaces. Key factors influencing connectivity, extracted from the relevant literature, were identified to facilitate this analysis. Employing graph theory and least-cost analysis, the results determined critical resistance factors, current connectivity and cost status, the varying degrees to which different districts benefit from green space ecosystem services, and the most effective routes for establishing green corridors. Research findings highlight significant disparities in access to these services, particularly in the underserved central districts of Tehran. Moreover, spatial analysis reveals a higher potential for enhancing east–west ecosystem service corridors due to the higher density of green hubs and lower costs in this orientation, while north–south connectivity faces more challenges. By exploring land use/land cover, and physical and socio-economic factors affecting urban green space connectivity, this study provides urban and environmental planners with a novel methodology and comprehensive insights for effective decision making, resource allocation, and land use planning.
]]>Urban Science doi: 10.3390/urbansci8010013
Authors: Esraa Othman Iva Cibilić Vesna Poslončec-Petrić Dina Saadallah
Environmental noise is a major environmental concern in metropolitan cities. The rapid social and economic growth in the 20th century is not always accompanied by adequate land planning and environmental management measures. As a consequence of rapid urbanization processes, cities are facing an increase in noise pollution. Noise is being recognized as a serious environmental problem and one which must be accounted for in a sustained development policy designed to improve the quality of life for citizens. Therefore, the monitoring of noise is a crucial aspect of urban planning to allow urban planners to create harmonious and livable environments for communities worldwide. This research aims at assessing the noise levels and associated sources of noise in downtown areas through the involvement of crowdsourcing techniques. The incorporation of noise mapping and increased public awareness are achieved by a framework that enables a comparative scheme between two cities: Alexandria, Egypt and Zagreb, Croatia. The methodology depends on combining crowdsourcing techniques using mobile applications and geographic information system (GIS) tools to detect and analyze noise. Finally, this research provides a comparison between the two cities using the adopted methodology and introduces recommendations to enhance urban planning decisions.
]]>Urban Science doi: 10.3390/urbansci8010012
Authors: Tally Hatzakis Laura Alčiauskaitė Alexandra König
Moving is an indispensable component of travelling. This paper discusses the experiences of persons with disabilities when moving around cities on foot or wheels, based on research conducted during the EU-funded project TRIPS. Findings comprise participants’ vignettes from 49 interviews in seven European cities, views on smart assistive technologies (e.g., Augmented Reality) from a pan-European quantitative survey, and design concepts related to walking based on a co-creation workshop that actively engaged persons with various types of disabilities in ideation. Findings suggest that people need reliable and clear wayfaring information on accessible travel routes featuring the coordinated design of streets, pavement, stops, stations, and vehicles to ensure seamless, step-free, and obstacle-free access, as well as disability-sensitive management of disruptions such as maintenance works, for example. Findings also suggest that users are open to using any assistive technology that can enable them to live more independently, assuming it is accessible, and are keen to co-innovate. Finally, we make recommendations for policy changes that can facilitate the redesign of urban infrastructure to make cities more accessible for people with disabilities and drive structural changes in urban planning.
]]>Urban Science doi: 10.3390/urbansci8010011
Authors: Nigel K. Downes Harry Storch Pham Quoc Viet Nguyen Kieu Diem Le Canh Dinh
This paper contributes to the understanding of the recent urban development of Ho Chi Minh City, Vietnam. Previous studies have aimed at quantifying the city’s spatial growth yet have disregarded its inherent morphological and socio-economic heterogeneity. To overcome this knowledge gap, we employ an urban structure type approach for the spatially explicit quantification of urbanisation patterns for the period 2010–⁠2020, categorising 77,000 blocks across the entire administrative area of 2095 km2. The approach allows us to understand the basic underlying processes of urbanisation, both quantitatively and qualitatively, and the main growth corridors along the rural–urban gradient. By contextualizing and combining our findings within current literature and official planning reports, we discern between traditional urban growth and the contemporary new town development patterns, highlighting their driving forces and policy implications. Incremental plot-by-plot development along the northwest development corridor is observed as the principal mode of urban development, whilst bypass urbanisation is seen along both the eastern and southern development corridors. Our block-based results highlight the city’s key growth challenges and provide insights on a scale that is meaningful for official spatial and infrastructure planning, and periodic analysis and monitoring. As far as the authors are aware, this is the first time that an urban structure type approach was applied to understand the rapid urban growth dynamics of an emerging megacity in Southeast Asia.
]]>Urban Science doi: 10.3390/urbansci8010010
Authors: Anas A. Makki Ammar Y. Alqahtani
This study analyzes the barriers to developing smart cities (SCs) using the decision-making trial and evaluation laboratory (DEMATEL) approach. The primary objective is to identify, classify, and assess the main barriers hindering the progress of SCs. Through an extensive literature review, twelve main barriers were identified. The DEMATEL approach models and analyzes the relationships among these barriers based on expert input. The results reveal that technical problems, a lack of infrastructure, and high costs are classified as cause barriers. Security and privacy concerns and the absence of coordinated planning are classified as effect barriers. This study emphasizes the need for established criteria and iterative development requirements. Although the influence of knowledge and skills gaps and a lack of awareness is less significant, these aspects still require attention. The findings suggest that a comprehensive approach focusing on technical solutions, infrastructure development, strategic planning, and cybersecurity measures can effectively overcome barriers. Regular evaluation of barrier dynamics is crucial for implementing adaptive measures. The results provide decision-makers with a valuable model to address the challenges and foster the efforts of SC stakeholders.
]]>Urban Science doi: 10.3390/urbansci8010009
Authors: Sean Bradley Israa H. Mahmoud
Over the last few years, community empowerment has become a central focus when discussing the sustainability of large-scale urban regeneration processes, especially those related to the implementation of nature-based solutions. In this article, the authors describe the experience of the CLEVER Cities project in the city of London, by looking at the dynamics of the early stages of co-creation and the implications on co-governance, motivation and policy. Particular attention is given to the importance of carefully evaluating the project context to guide where emphasis is given on the use of specific co-creation strategies such as building trust, raising awareness or networking. In this case, a set of strategies emerge that are a response to several factors but are strongly influenced by the backdrop of limited social structuring encountered in South Thamesmead, South London. The methods are derived based on a qualitative and looped observation approach over three phases applied to three urban living labs in the project area. Finally, to structure the results, an iterative co-production of knowledge approach is used to cluster the strategies into ten more synthetic recommendations based on collaborative governance, communication and capacity building, as well as incentives and motivation. Further, guidance is given by highlighting priorities to inform policy and place-based planning actions.
]]>Urban Science doi: 10.3390/urbansci8010008
Authors: Rita Nicolau Beatriz Condessa
This study seeks to contribute to the definition of a “no net land take” policy by 2050 for Portugal’s second-largest metropolitan region (AMP, Porto Metropolitan Area) while sensitising those involved in regional and local planning to the European target. Based on an assessment of land use changes in AMP and its municipalities during 2007–2018, soil sealing levels in 2018 and population evolution, the study quantifies the processes that may impart achievement of the 2050 objective and identifies the regional drivers of net land take, to support the definition of both interventions to decrease land take and soil sealing and related targets. The main contribution of the research is the exploration of new indicators in terms of soil sealing and population data to identify the potential for implementing interventions proposed by the EU Soil Strategy that do not jeopardise the maintenance of biodiversity in urban areas. The land take rate in the AMP was the highest among mainland Portugal regions. Its main drivers were the development of transport networks, industrial and commercial units and dispersed housing. The reuse and re-naturalisation of artificial land have seen little use in the region. Accordingly, the daily net land taken in the AMP (0.59 ha/day) still needs to decrease until 2050. While artificial land increased across the AMP, most of its municipalities lost population. To reverse this trend, the AMP should implement tighter control mechanisms that ensure that infrastructure and housing needs are fully met through the reuse of urban areas that are already sealed. However, given that the share of impermeable soil in most urban areas is already significantly high, there will have to be a careful choice of locations where intensifying land use will cause less environmental damage. It is concluded that the degree of soil sealing within urban areas is fundamental for deciding on the interventions to be carried out to reduce net land take and for defining a policy towards meeting the 2050 target.
]]>Urban Science doi: 10.3390/urbansci8010007
Authors: Barbara Cardone Ferdinando Di Martino Vittorio Miraglia
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the emotional states of citizens and to determine which areas are most at risk and require specific resilient adaptation interventions. Of particular relevance today is the need to analyze the multiple risks generated by extreme phenomena in urban settlements in order for the decision maker to identify which areas are most at risk and prepare resilient intervention plans with respect to all the phenomena analyzed. In recent years, the COVID 19 pandemic emergency has forced citizens to undergo specific restrictions to protect their health; to these were added critical issues due to the occurrence of extreme climatic or environmental phenomena. In order to monitor pandemic and climate/environmental multi-risks in urban settlements, we propose a GIS-based framework in which an emotion detection method is applied to determine the prevailing emotional categories in urban study areas during pandemic periods and in the presence of extreme climatic phenomena. The framework was tested on a study area based in the six districts of the city of Bologna (Italy) in order to detect, based on the emotions expressed on social channels, which were the most critical city neighborhoods in pandemic periods and in the presence of extreme heat wave climatic events. The results show that the proposed model can represent a valid tool to support decision makers in identifying the most critical urban areas in the presence of pandemic and climate/environmental multi-risks.
]]>Urban Science doi: 10.3390/urbansci8010006
Authors: Mo Fan Massoomeh Hedayati Marzbali Aldrin Abdullah Mohammad Javad Maghsoodi Tilaki
Contemporary urban development places a critical emphasis on pedestrian environments, especially in historic cities like George Town, which is a UNESCO World Heritage Site in Malaysia. Although survey questionnaires effectively captured public perceptions of issues such as poor road connectivity, weak accessibility, crime and safety concerns in George Town, they fell short in providing a comprehensive understanding of the root causes. This study leverages space syntax theory to model and analyze George Town’s unique pedestrian landscape, aiming to identify strategies for improving pedestrian networks in historical urban landscapes. Space syntax theory, known for revealing structural issues within urban contexts, is applied after a thorough examination of George Town’s urban layout, climate, architectural features, and development policies. George Town employs an informal grid layout widely utilized in British colonial port cities to enhance overall efficiency. The predominant architectural form is the shophouse, which is characterized by a ground level designed for pedestrian movement known as the “five-foot way” and adapted to Malaysia’s climate. Various axis drawing methods for the unique five-foot way under different circumstances are considered. The George Town special area plan (SAP) emphasizing heritage preservation guides development policies, thus requiring an inclusive approach to pedestrian environments. This enhances the practical significance of the current study, with the eastern and northern coastal areas serving as crucial focal points for investigation. This approach results in a comprehensive spatial model that captures the essence of George Town’s pedestrian landscape. Evaluation using space syntax indicators such as connectivity, integration, intelligibility, and choice reveals issues like poor overall network connectivity, inadequate access to key attractions, suboptimal integration, concentrated pedestrian flows, and significant safety concerns, which are exacerbated by limited infrastructure on certain two-way roads and a lack of zebra crossings. The practical implications of this study include recommendations for enhancing pedestrian spaces along identified roads and strategically installing zebra-crossings. This research is significant for its focus on a historical city in a Southeast Asian developing country, deeply integrating local environmental characteristics and providing insights into urban planning and optimization, thereby serving as a reference for similar cities.
]]>Urban Science doi: 10.3390/urbansci8010005
Authors: Ibrahim Abdoul Nasser Elhadi Adam
Urbanisation is the process whereby cities are transformed into large sprawling areas. Urbanisation combined with a continuous increase in population makes food security crucial for sustainable development. Urbanisation poses a threat to agricultural land use within built-up and peri-urban areas. It has resulted in the rapid disappearance and/or total change of agricultural farmland in urban and peri-urban areas. To monitor the changes in agricultural farmland, an understanding of changes in the urban landscape is becoming increasingly important. In this study, multi-temporal Landsat imagery were used to analyse the impact of urbanisation on urban agriculture in the city of Niamey. Changes in the urban landscape were determined using the support vector machine (machine learning) algorithm. Results of this study showed a decrease in land with crops from 3428 ha to 648 ha and an increase in built-up areas from 1352 ha to 11,596 ha between 1975 and 2020. Urbanisation and population growth are the main drivers of urban landscape change in Niamey. There was also a decrease in bare land, rock and vegetation classes, while a small increase in rice and water body classes, comparing the 1975 and 2020 values. This study demonstrates the importance of remote sensing in showing the implications of urbanisation on urban agriculture. These results can assist city planners and resource managers in decision-making and adoption of sustainable mitigation measures which are crucial for urban development.
]]>Urban Science doi: 10.3390/urbansci8010004
Authors: Sachin Gowda Vaishakh Kunjar Aakash Gupta Govindaswamy Kavitha Bishnu Kant Shukla Parveen Sihag
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional laboratory methods for obtaining CBR values are time-consuming and labor-intensive, prompting the exploration of novel computational strategies. This paper illustrates the development and application of machine learning techniques—multivariate linear regression (MLR), artificial neural networks (ANN), and the adaptive neuro-fuzzy inference system (ANFIS)—to indirectly predict the CBR based on the soil type, plasticity index (PI), and maximum dry density (MDD). Our study analyzed 2191 soil samples for parameters including PI, MDD, particle size distribution, and CBR, leveraging theoretical calculations and big data analysis. The ANFIS demonstrated superior performance in CBR prediction with an R2 value of 0.81, surpassing both MLR and ANN. Sensitivity analysis revealed the PI as the most significant parameter affecting the CBR, carrying a relative importance of 46%. The findings underscore the potent potential of machine learning and neuro-fuzzy inference systems in the sustainable management of non-renewable urban resources and provide crucial insights for urban planning, construction materials selection, and infrastructure development. This study bridges the gap between computational techniques and geotechnical engineering, heralding a new era of intelligent urban resource management.
]]>Urban Science doi: 10.3390/urbansci8010003
Authors: Juan Víctor Molner Rebeca Pérez-González Juan M. Soria
Beaches, as ecosystems of high ecosocial and biodiversity importance, are threatened by human activities such as city development and port construction. This study used satellite imagery (Landsat 5, Landsat 8, and Sentinel-2) to detect a significant reduction of 70% in the beach areas of El Saler and La Garrofera (Valencia, Spain) from 170 ha in the 1990s to 43 ha in the year 2022. This process has occurred in parallel with the successive expansion of the Port of Valencia, a modifying agent of marine sedimentation in the region. In addition, encouraging results have been observed in the rehabilitation efforts in different periods. The latest work in the autumn of 2023 has improved the beach area to 112 ha. In this context, remote sensing emerges as an essential tool to monitor these ecosystems, which are important for both human welfare and biodiversity conservation, as well as to allow for monitoring during ecological restoration.
]]>Urban Science doi: 10.3390/urbansci8010002
Authors: Athina Mela Evgenia Tousi Emmanouil Melas George Varelidis
This study investigates the spatial distribution and quality of urban public spaces in the Attica region during the COVID-19 pandemic. A questionnaire survey was conducted to gather data on the availability, accessibility, and quality of open urban public spaces. The findings indicate that, although several respondents reported the presence of outdoor public spaces in their respective areas, these spaces often did not meet the desired quality standards. Notably, a clear preference was expressed for open public spaces located within a convenient walking distance, typically within a 15-min walk. Quality assessments varied across different sectors of Attica, with the central Athens and central Piraeus sectors receiving lower ratings in terms of availability, quality, and safety. Compared to the rest of Attica, the residential suburbs of Athens’s Northern Sector appear to have more accessible, safe, and well-maintained public areas. The research underscores the critical importance of quality public spaces, particularly during times of crisis. This study emphasizes the need for a re-evaluation of urban planning strategies to ensure that public spaces remain functional and accessible to citizens.
]]>Urban Science doi: 10.3390/urbansci8010001
Authors: Diego Fettermann Pedro Christoffel Jaime Castillo Angelo Sant’Anna
The incorporation of renewable energy sources necessitates the upgrade of the electrical grid to a smart grid, which involves the implementation of smart meters. Although smart meters provide benefits to users, many smart meter implementation projects have failed to be accepted by users. This article assesses the factors influencing the acceptance of household smart meters in Joinville, a city in the south of Brazil. Based on the Unified and Extended Theory of Acceptance and Use of Technology (UTAUT2), a structural equation model was estimated using data from a sample of 136 respondents in the city of Joinville. The results indicate that Performance Expectancy, Hedonic Motivation, and Social Influence constructs have a more substantial effect on the Intention to Use smart meters. The results provide evidence for planning the upgrade of the electrical grid by implementing smart meters in southern Brazil.
]]>Urban Science doi: 10.3390/urbansci7040126
Authors: Salma Tabi Yasushi Ikeda
Previous research has established the relevance of digital tools in participatory processes of urban planning and design. Nevertheless, the debate about the role that these information and communication technologies (ICTs) play within the participatory process, with respect to established practices and methods, and in relation to community building and public space, is still ongoing. The purpose of this paper is to present the design and development of a participation tool that attempts to combine physical and digital forms of interaction with public space and the community in the context of an essential initiation practice in Japanese participatory planning, called machi-aruki (town walking or walking tours). This tool, named the Location Hunting Game (LHG), employs location data as a medium to connect digital and physical realms, and was developed in a broader theory-driven research endeavor that explores the potential of location data in collective urban planning and governance. This article presents the concepts and objectives of LHG, the game design, the interface design, the prototyping process, the technical specifications, and a summary of the preliminary results of a trial study. The results provide insights into the potentials and limitations of the current prototype and development challenges, and conclude with future research steps.
]]>Urban Science doi: 10.3390/urbansci7040125
Authors: Hee Sun Choi Gerhard Bruyns Wang Zhang Tian Cheng Saijal Sharma
Numerous studies have shown that the emotional wellbeing of urban populations is influenced by various aspects of urban development, such as social factors and the presence of walkable areas and green spaces. However, there is a lack of research that closely integrates urban design and cognition, particularly in the context of vertical and volumetric urbanism. This disconnect between design and science disciplines is evident when reviewing the limited research on emotional and spatial cognition in this specific urban context. This paper seeks to address that disconnect by proposing a comprehensive framework for the cognitive measurement and modelling of the built environment. This will involve exploring and measuring neural mechanisms, employing electroencephalogram (EEG) equipment to measure user responses in vertical and volumetric public spaces. The aim is to create a foundation for further studies in this field that is consistent and rigorous and can facilitate collaboration with cognitive neuroscientists by establishing a shared conceptual basis. The goal of this research is to develop a human-centric approach for urban design that is scientific and measurable, producing a set of urban design guidelines that incorporate cognitive measurement and modelling, with the broader intention to prioritize human needs and wellbeing within urban environments to make them more liveable.
]]>Urban Science doi: 10.3390/urbansci7040124
Authors: Nichapa Parasin Teerachai Amnuaylojaroen
A heat index is a key indicator directly related to meteorological factors influencing human health, particularly work performance. However, the interaction between air quality, meteorology, heat, and associated work performance is loosely defined, especially in urban areas. In this study, we develop a heat index (HI) related to air quality terms, including PM2.5, NOx, and CO, and meteorology terms, including temperature and relative humidity, to assess work performance in Thailand’s urban areas, including Chiang Mai, Bangkok, Nakhon Ratchasima, and Ubon Ratchathani, using a multivariate regression model. The regression models’ performance shows high R2 values ranging from 0.82 to 0.97, indicating a good level of performance. A recurring trend across all locations is elevated HI values during April and May, signifying typical pre-monsoon conditions in tropical regions. Following this peak, the values of the heat index (HI) begin to fall, possibly due to the start of the wet season. As shown by the decrease in productivity during periods of elevated heat index values, the observed increase in temperatures has noticeable effects on work performance.
]]>Urban Science doi: 10.3390/urbansci7040123
Authors: Laura Caggiu Federico Fiorani Elisa Corradini Enrico Felice Alberto Minelli
In Europe, more than two-thirds of the population live in urban areas. The management of urban green areas and trees is becoming increasingly relevant involving different players and stakeholders, as well for keeping a focus on the Sustainable Development Goals. Society and policy makers are often unaware of the disservices that neglecting these areas can cause. Appropriate monitoring interventions can protect both citizens and trees themselves. The aim of the study was to assess the risk potential in urban trees in Bologna suburbs (Italy). For each tree in the city of Bologna, three target variables identifying the number and categories of streets, buildings, and walking and cycle paths near the tree were considered and used as covariates. A multiple regression model assessing the relationship between a dependent synthetic spatial variable (digital number, DN), proxy of the likelihood of tree failure, and the three independent covariates was estimated. Both the number of streets and walking and cycle paths in the area surrounding a tree are shown to be significantly associated with the DN value. The use of open data can assist in monitoring and maintaining urban green areas. The tool supports a virtuous circle between stakeholders in urban systems through sustainability and efficiency.
]]>Urban Science doi: 10.3390/urbansci7040122
Authors: Sina Razzaghi Asl
Globally, floods are becoming more severe, lasting longer, and occurring more frequently because of changes in climate, rapid urbanization, and changing human demographics. Although traditional structural flood mitigation infrastructures (e.g., drainage systems, levees) are effective in urban areas, their functionalities in the face of extreme rainfall events and increased development largely depend on the capacity and location of such systems, making complementary solutions such as nature-based solutions (NBS) important. The concept of NBS within the context of flood mitigation has gained traction in the last decade; however, the success of NBS depends on their effectiveness and distribution over urban regions. This article seeks to examine the potential of NBS as a flood loss mitigation tool in one of the fastest-growing and flood-prone counties of Pennsylvania, Montgomery County, using Generalized Linear Model (GLR) and Geographically Weighted Regression (GWR) techniques. The analysis integrates the National Risk Index dataset for river flooding, a 100-year flood zone layer from National Flood Hazard Layer (NFHL) provided by FEMA, with land use and impervious surface percent data derived from National Land Cover Database (NLCD) for 2019 and socioeconomic data at the U.S. census tract level from the 2019 U.S. Census. This study’s findings partially contradict previous research by revealing an unexpected relationship between NBS quantity in floodplains and expected annual loss. Findings also suggest that small size and disconnected patches of NBS in floodplains in some dense urban areas effectively reduce total losses from flood events.
]]>Urban Science doi: 10.3390/urbansci7040121
Authors: Souleymane Fall Kapo Coulibaly Joseph Quansah Gamal El Afandi
Urban heat vulnerability varies within and across cities, necessitating detailed studies to understand diverse populations’ specific vulnerabilities. This research assessed urban heat vulnerability at block group level in three Alabama cities: Birmingham, Montgomery, and Auburn-Opelika. The vulnerability index combines exposure, sensitivity, and adaptive capacity subindices, incorporating Landsat 8 satellite-derived Land Surface Temperature (LST), demographic, and socioeconomic data using factor analysis and geospatial techniques. Results showed strong positive correlations between LST and impervious surfaces in Auburn-Opelika and Montgomery, with a moderate correlation in Birmingham. An inverse correlation between LST and Normalized Difference Vegetation Index was observed in all cities. High LST correlated with high population density, varying across cities. Birmingham and Montgomery’s central areas exhibited the highest heat exposure, influenced by imperviousness, population density, and socioeconomic factors. Auburn-Opelika had limited high heat exposure block groups, and high sensitivity did not always align with exposure. Correlations and cluster analysis were used to dissect the heat vulnerability index, revealing variations in contributing factors within and across cities. This study underscores the complex interplay of physical, social, and economic factors in urban heat vulnerability and emphasizes the need for location-specific research. Local governance, community engagement, and tailored interventions are crucial for addressing unique vulnerabilities in each urban context.
]]>Urban Science doi: 10.3390/urbansci7040120
Authors: Higor Costa de Brito Iana Alexandra Alves Rufino Mauro Normando Macedo Barros Filho Ronaldo Amâncio Meneses
In the face of urban expansion, ensuring sustainable water consumption is paramount. This study aims to develop a domestic water demand forecast model that considers population heterogeneity and the urban area distribution in a city in the Brazilian Semiarid Region. The methodology comprises three main steps: (1) spatial data collection to identify explanatory variables for a future Land Use and Cover (LULC) model; (2) simulation of LULC data for 2030, 2040, and 2050 using the MOLUSCE plugin; and (3) estimation of domestic water demand based on projected urban area expansion and a linear regression model incorporating demographic indicators of household income, residents per household, total population, and gender. The results demonstrated a consistent LULC simulation, indicating an urban expansion of 4 km2 between 2030 and 2050, with reductions of 0.6 km2 in natural formations and 3.4 km2 in farming areas. Using LULC data, the study predicted a 14.21% increase in domestic water consumption in Campina Grande for 2050 compared to 2010, equivalent to an increase of 2,348,424.96 m3. Furthermore, the spatial analysis draws a spatial profile of water consumption among residents, highlighting the areas with the highest per capita consumption. Thus, this research offers a consistent approach to estimating water demand in regions with limited consumption data, providing valuable insights for decision-makers to consider in urban planning.
]]>Urban Science doi: 10.3390/urbansci7040119
Authors: Dirk H. R. Spennemann
Cultural heritage management at the local government level relies on community participation, mainly interested stakeholders, in the identification, nomination and, in some jurisdictions, the co-evaluation of heritage assets. These are then “listed,” i.e., included in planning schemes and other development controls. Such inclusion in planning schemes is predicated on the assumption that the local community values its heritage, appreciates its protection and supports local council investment and actions in the matter. This assumption is treated as axiomatic but only very rarely formally tested. Drawing on a community heritage survey in Albury, a regional service center in southern New South Wales (Australia), this paper discusses the perceptions held by the community on the relative importance of heritage protection when compared with the other services offered by council. The findings show that the community ranked cultural and natural heritage places higher than cultural institutions (museums, libraries and theatres). The findings also showed that the community valued cultural and natural heritage more than traditional engineering services, such as roads/footpaths, rubbish removal and even sporting facilities. The survey highlighted intergenerational differences, with cultural heritage places and cultural institutions ranking high only among Generation X and the generations prior (Builders and Baby Boomers). This has clear implications for the present provisioning of heritage services and community education. The paper concludes with an exploration of the long-term implications of the observed intergenerational differences for local government authorities and community development in general.
]]>Urban Science doi: 10.3390/urbansci7040118
Authors: Maria Antonietta Clerici
In a globalised economy, metropolises seem to have an ‘extra gear’ compared to smaller urban centres: they attract the most skilled businesses, drive innovation in many fields and can count on material and immaterial assets that foster greater resilience to adverse events of various kinds. Against the dynamism of metropolises, which evolutionary paths do medium-sized cities (MSCs) follow? This paper focuses on the case of Northern Italy and explores employment trends between 2012 and 2020 in 189 MSCs with a population of between 20,000 and 200,000 inhabitants. The evolutionary trajectories of these cities and their varying specialisations are investigated over a period marked by a moderate recovery of the Italian economy following the Great Recession and by a further setback caused by the COVID-19 pandemic. In general, in terms of employment performance, the 189 cities in question were less dynamic than the metropolises, but it is nevertheless necessary to look at their individual circumstances in detail. Furthermore, this work shows significant differences between the MSCs of the Northwest and Northeast in terms of evolutionary trajectories and specialisation profiles. The most problematic situations also relate to cities with a hub status in the wider context and do not only concentrate where a production structure is present that is linked to industry.
]]>Urban Science doi: 10.3390/urbansci7040117
Authors: Akuto Akpedze Konou Armel Firmin Kemajou Mbianda Baraka Jean-Claude Munyaka Jérôme Chenal
Urban agriculture (UA) is an ancient practice in Africa that meets social- and health-related needs. However, it is unclear whether architects and urban planners have incorporated the topic into their research and practices. This study aimed to assess the scientific contributions of these fields to UA and their relevance compared to other disciplines. The research objectives were to evaluate the trends in the subject, architects’ and planners’ involvement, and the effects of UA on health in Africa. As a method, a review was conducted using Scopus, PubMed, Web of Science, and Google Scholar. The research query was (“urban agriculture” OR “urban farming”) AND Africa AND (“health” OR “global health” OR “urban health”), and the time frame considered was January 2000 to December 2020. Zotero, Mozilla Firefox, Google Chrome, Excel, and VOSviewer were used to collect and analyze metadata. After excluding duplicates, a total of n = 390 articles were involved. The results displayed the mixed health effects of UA, a growing interest in the topic with prominence on food security, and evidence from public health, not architecture and planning. The study recommends more theoretical research on UA by architects, which should be translated into policies and implementation.
]]>Urban Science doi: 10.3390/urbansci7040116
Authors: Maxwell Owusu Ryan Engstrom Dana Thomson Monika Kuffer Michael L. Mann
Reliable data on slums or deprived living conditions remain scarce in many low- and middle-income countries (LMICs). Global high-resolution maps of deprived areas are fundamental for both research- and evidence-based policies. Existing mapping methods are generally one-off studies that use proprietary commercial data or other physical or socio-economic data that are limited geographically. Open geospatial data are increasingly available for large areas; however, their unstructured nature has hindered their use in extracting useful insights to inform decision making. In this study, we demonstrate an approach to map deprived areas within and across cities using open-source geospatial data. The study tests this methodology in three African cities—Accra (Ghana), Lagos (Nigeria), and Nairobi (Kenya) using a three arc second spatial resolution. Using three machine learning classifiers, (i) models were trained and tested on individual cities to assess the scalability for large area application, (ii) city-to-city comparisons were made to assess how the models performed in new locations, and (iii) a generalized model to assess our ability to map across cities with training samples from each city was designed. Our best models achieved over 80% accuracy in all cities. The study demonstrates an inexpensive, scalable, and transferable approach to map deprived areas that outperforms existing large area methods.
]]>Urban Science doi: 10.3390/urbansci7040115
Authors: Rania Ajmi Faiza Khebour Allouche Aude Nuscia Taîbi Safa Bel Fekih Boussema
As a primary goal, urban green spaces (UGSs) have been linked to several aspects of inhabitants’ wellbeing. Quality could be a way to intervene in the UGS–human health interaction. For that purpose, we developed an urban green space quality index (UGS QIndex) applied to a Mediterranean region, Sousse City. This index was based on a set of criteria, indicators, and elements chosen after bibliographical research related to UGS quality assessment tools and their contribution to the Sustainable Development Goals. Then, we evaluated the quality of the Sousse Ramparts Gardens using the UGS QIndex. In fact, this index includes 41 elements grouped into 23 indicators covering seven thematic criteria: environmental regulating capacity, functional amenities, aesthetic amenities, landscape features, integration in its surroundings, development policy objectives, and space issues. According to the UGS QIndex, Bab El Gharbi garden exceeds Bab El Finga garden in terms of its scenery, aesthetics, and functionality. This index could be used by city planners to improve their UGS’s capacity to satisfy the inhabitants’ requirements. Otherwise, it needs to be enhanced and tailored to various types of UGSs and then applied to other Mediterranean cities, as well as cities suffering from UGS degradation.
]]>Urban Science doi: 10.3390/urbansci7040114
Authors: Oluwagbemiga Paul Agboola Hourakhsh Ahmad Nia Yakubu Aminu Dodo
There are strong indications that the built environment has had a great influence on the course of the COVID-19 pandemic and the post-disaster recovery. The COVID-19 pandemic has adversely affected both human and global development, while efforts to combat this menace call for an integrated human social capital index. This research seeks to enhance understanding of how the built environment can be enhanced through resilience against the backdrop of the COVID-19 pandemic. This study aims to investigate the impact of a resilient built environment on increasing resilience in the aftermath of the COVID-19 pandemic in Nigeria. The quantitative studies test the impact of four built environment resilience indices (built environment capital, disaster management indices, awareness of the COVID-19 pandemic, and built environment adaptive strategies) on human social capital and COVID-19 pandemic indices. This study reveals the role of human social capital in achieving a resilient built environment in the wake of the COVID-19 pandemic in Nigeria. Built environment capital, disaster management indices, and awareness of COVID-19 also indirectly affect the COVID-19 pandemic indices through human social capital. This study’s implications are useful for post-COVID-19 recovery, which is important for future planning of the built environment in Nigeria.
]]>Urban Science doi: 10.3390/urbansci7040113
Authors: Sergio Nesmachnow Andrei Tchernykh
Urban mobility and strategies for public transportation play a vital role in promoting a more sustainable, accessible, and livable urban environment in smart cities. Data-driven decision making, multi-modal integration, and innovative means are key elements in developing effective public transportation. The COVID-19 pandemic had a significant impact on public transportation worldwide, including decreased travel, health and security concerns, and a shift in travel patterns. In particular, the use of public transportation reduced by up to 90% in developed countries. This article studies the mobility demands and patterns related to public transportation in Montevideo, Uruguay, amidst the COVID-19 pandemic. The study follows an urban data analysis approach, using open data from various sources, including citizen mobility, the public transportation system, COVID-19 case records, and economic indicators. The urban data methodology allows the deriving of significant findings, encompassing the assessment of trip reductions in Montevideo in March 2020 (71.4%, lower than similar cities in the world), the correlation between trip numbers and COVID-19 cases during the different pandemic waves, the recovery of public transportation usage, and the correlation with socio-economic indicators. These results offer valuable insights for quantifying and comprehending the behavior of citizens concerning public transportation throughout the COVID-19 pandemic, providing valuable understandings for policymakers and researchers to elaborate mobility strategies and policies.
]]>Urban Science doi: 10.3390/urbansci7040112
Authors: Juan R. Coca Julio Fernández-Portela Susana Gómez-Redondo Anabel Paramá-Díaz
European regions with a lower population density have greater structural difficulties in ensuring that the daily life of their inhabitants matches that of more populated regions. This problem persists in groups of people who present some type of disability. Soria (Spain) is one of such regions. It is considered the most depopulated region of Southern Europe. Therefore, the aim of this study was to analyse the reality of people with disabilities in one of the provinces with a lower population density. It also seeks to explore the relationship between the perceptions and the reality of the existing structure to infer the promotions or limitations of agency. To this end, we conducted a systematic review of the existing literature, a sociogeographic study of the study context, and a mixed investigation. The results show that the greatest problem lies in the cities and towns located far away from the capital city, causing budget cutbacks and, therefore, reducing the attention to the needs of people with disabilities. However, social solidarity has increased, which is perceived as greater social inclusion for this group.
]]>Urban Science doi: 10.3390/urbansci7040111
Authors: Farah Altarifi Nawal Louzi Dana Abudayyeh Tariq Alkhrissat
Amman, the capital of Jordan, has experienced significant traffic congestion due to the rise in private vehicle ownership and limited public transportation services. A Stated Preference (SP) survey was conducted to determine public transportation users’ willingness to use the Bus Rapid Transit (BRT) service. Another survey assessed the demand for an on-demand transit bus service with flexible and moderate costs, particularly for individuals far from the main BRT stations who need to reach them. Two models, Multinomial Logit (MNL) and Mixed Logit (ML), were utilized to understand user preferences for work-related trips. The study findings indicate that the cost of the trip and the waiting time are the two primary factors influencing public transport users’ choices. Furthermore, sociodemographic factors, such as age, income, household size, and current status, were found to have a significant impact. The results reveal that approximately 71% of participants would utilize an integrated public transportation system comprising BRT and on-demand services. The findings underscore the potential benefits of an integrated public transport system in addressing Amman’s traffic congestion. By combining BRT and on-demand services, the city can offer residents comfortable, affordable, and efficient transportation options, thus effectively mitigating congestion.
]]>Urban Science doi: 10.3390/urbansci7040110
Authors: Yang Sao Xiong Mark E. Pfeifer
Although spatial assimilation has often been defined as the process whereby a group attains residential propinquity with majority members of a host society, we argue that for certain immigrant groups, substantial suburbanization does not necessarily lead to racial integration. Our analysis using data from the U.S. Census Bureau reveals that between 1990 and 2010, Southeast Asian former refugees in the Minneapolis-St. Paul Metropolitan Statistical Area experienced substantial suburbanization, which is expected given their improved socioeconomic status. However, Southeast Asians’ suburbanization has not led to residential propinquity with non-Hispanic Whites. Despite a small decline in Southeast Asians’ overall segregation at the metropolitan area level during the previous two decades, their segregation levels, as measured by the dissimilarity index, remained unchanged or increased in the central city and the suburbs. Furthermore, our findings reveal different ethnic concentration and segregation patterns among four Southeast Asian subgroups, complicating the meaning of ‘suburbanization’ as simply a process in which people move from the inner city to its less urban outskirts. The finding that substantial suburbanization coexists with high levels of segregation and ethnic concentration raises questions about the assumptions of both the spatial assimilation and place stratification models of immigrant residential processes and outcomes.
]]>Urban Science doi: 10.3390/urbansci7040109
Authors: Liora Bigon Edna Langenthal
Against the background of urban redevelopment programs through the lens of varied, country-related planning cultures, this article sets the stage for learning from one country’s recent experience. In this article, we focus on two Israeli urban regeneration programs operating since 2000: the ‘Integrated National Planning Scheme’ (TAMA 38) and ‘Evacuate and Build’ (Pinuy Binuy) programs. This article aims to examine the governmental agenda behind these programs in comparison to previous urban regeneration programs and, especially, to critically review the implementation and implication of these programs considering social sustainability issues. Methodologically, the policies and practices of this recent wave of urban renewals in Israel are revisited through a critical reading of a series of studies from the last five years, bringing together multidimensional societal aspects. In terms of ethics and qualitative dimensions, the examined societal aspects are rooted in social sustainability theory and contemporary urban policy design. Our findings regarding this country-related recent experience in urban renewals have identified several gaps concerning certain aspects of social sustainability theory and practice. These gaps call for a better understanding by Israel’s urban policy makers of the comprehensive essence of contemporary social sustainability theory, which should also be mirrored in the respective professional discourse. The gaps are also useful in informing our accumulating transnational knowledge and experience in urban renewal schemes, based on a chain of country-related experiences and planning cultures.
]]>Urban Science doi: 10.3390/urbansci7040108
Authors: Ming-An Chung Tze-Hsun Wang Chia-Wei Lin
Environmental, social, and governance issues have gained significant prominence recently, particularly with a growing emphasis on environmental protection. In the realm of heightened environmental concerns, unmanned aerial vehicles have emerged as pivotal assets in addressing transportation challenges with a sustainable perspective. This study focuses on enhancing unmanned aerial vehicles’ object detection proficiency within the realm of sustainable transportation. The proposed method refines the YOLOv7 E-ELAN model, tailored explicitly for traffic scenarios. Leveraging strides in deep learning and computer vision, the adapted model demonstrates enhancements in mean average precision, outperforming the original on the VisDrone2019 dataset. This approach, encompassing model component enhancements and refined loss functions, establishes an efficacious strategy for precise unmanned aerial vehicles object detection. This endeavor aligns seamlessly with environmental, social, and governance principles. Moreover, it contributes to the 11th Sustainable Development Goal by fostering secure urban spaces. As unmanned aerial vehicles have become integral to public safety and surveillance, enhancing detection algorithms cultivates safer environments for residents. Sustainable transport encompasses curbing traffic congestion and optimizing transportation systems, where unmanned aerial vehicle-based detection plays a pivotal role in managing traffic flow, thereby supporting extended Sustainable Development Goal 11 objectives. The efficient utilization of unmanned aerial vehicles in public transit significantly aids in reducing carbon footprints, corresponding to the “Environmental Sustainability” facet of Environmental, Social, and Governance principles.
]]>Urban Science doi: 10.3390/urbansci7040107
Authors: Thomas W. Sanchez Xinyue Ye
Understanding human movement and transportation accessibility has become paramount in shaping the very fabric of our communities [...]
]]>Urban Science doi: 10.3390/urbansci7040106
Authors: Assouhan Jonas Atchadé Madjouma Kanda Fousseni Folega Abdoul Aziz Diouf Symphorien Agbahoungba Marra Dourma Kperkouma Wala Koffi Akpagana
Urbanization is a current concern, particularly in Africa, where it is expected to continue and increasingly threaten the effectiveness of plant biodiversity, natural carbon sinks, and the sustainability of cities. This paper investigates the structural parameters and carbon storage potential of trees in the land use units of the city of Cotonou in southern Benin. A total of 149 plots at 2500 m2 each were randomly generated, and trees with a diameter ≥ 10 cm were inventoried. ANOVA revealed that the means of structural parameters (diameter and height classes) and carbon stock rate varied significantly (p < 0.001) across land use units in the city. Tree basal area is estimated at 4.52 ± 5.24 m2 ha−1, with an average of 12.72 (13) feet ha−1. The average diameter of the trees is estimated at 57.94 ± 29.71 cm. Approximately 1000 kg ha−1 (0.94 × 103 kg ha−1) of carbon is stored in the city of Cotonou. Green spaces (1.21 × 103 kg ha−1) and roads (1.19 × 103 kg ha−1) are the units that recorded the highest carbon stocks. Khaya senegalensis, Mangifera indica, and Terminalia mentally lead the top ten species with high stock potential. This study demonstrates the contribution of urban trees to global atmospheric carbon reduction, which varies by species, land use units, and tree density. Future research could investigate an i-Tree Landscape approach for urban carbon estimation. This could reinforce urban carbon data availability for urban ecological planning.
]]>Urban Science doi: 10.3390/urbansci7040105
Authors: I-Ting Chuang Lee Beattie Lei Feng
Urban planning and transportation policies are vital to creating sustainable and liveable cities. Transit-orientated development (TOD) has emerged as a prominent approach that emphasises the establishment of neighbourhoods with convenient access to public transportation, thereby promoting car-free lifestyles. This research investigates the connection between proximity to transit stations and local living habits in Auckland, New Zealand, which is a car-dependent city aiming to transition to a sustainable TOD model. We use geolocational data from mobile phones to measure the daily mobility patterns of residents living within a 15 min walking distance of various transit stations. Employing ordinary least squares (OLS) regression, we analyse the correlation between residents’ average travel distances and individual mobility, considering different station contexts. We aim to determine whether individuals living near transit stations are more inclined to participate in local activities and make a higher proportion of short-distance trips. The results illustrate that approximately 54% of the residents show dominant localised mobility patterns. Living near a station is significantly associated with shorter annual travel distances, although this trend varies by area. Notably, only about 16 of the 34 stations studied indicate that their local residents predominantly engage in ‘local’ travel patterns. Rural stations show less correlation, likely due to poor infrastructure and limited walkability. This study underscores the vital role of proximity to transit stations in promoting sustainable mobility. It serves as a foundational guide for urban planners and designers to make informed decisions that improve the built environment and optimise land use.
]]>Urban Science doi: 10.3390/urbansci7040104
Authors: Andrii Biloshchytskyi Oleksandr Kuchanskyi Yurii Andrashko Didar Yedilkhan Alexandr Neftissov Svitlana Biloshchytska Beibut Amirgaliyev Vladimir Vatskel
This study considers the creation of a network of moss-based biotechnological purification filters under the Smart City concept. The extent of the absorption of heavy metals and gases by Sphagnopsida moss under different conditions was investigated. The efficiency of air purification with biotechnological filters was also investigated in the city of Almaty, Republic of Kazakhstan, where an excess of the permissible concentration of harmful substances in the air, according to the WHO air quality guidelines, is recorded throughout the year. Data on the level of pollution recorded with sensors located in the largest Kazakhstani cities from 21 June 2020 to 4 June 2023 were selected as the basis for calculating purification efficiency. In total, there are 220 in 73 settlements of the Republic of Kazakhstan, with 80 such sensors located in the city of Almaty. Since creating a single biotechnological filter is expensive, our task was to calculate the air purification effect in the case of increasing the number of filters placed in polluted areas. We show that 10 filters provide an air purification efficiency of 0.77%, with 100 filters providing an air purification efficiency of 5.72% and 500 filters providing an air purification efficiency of 23.11%. A biotechnological filter for air purification based on moss was designed at Astana IT University by taking into consideration the climatic features, distribution, and types of pollution in the Republic of Kazakhstan. The obtained results are essential for ensuring compliance with the standard for environmental comfort in the Republic of Kazakhstan. Additionally, the research findings and the experience of implementing a moss-based biotechnological filter can be applied to designing similar air purification systems in other cities. This is of great importance for the advancement of the field of urban science.
]]>Urban Science doi: 10.3390/urbansci7040103
Authors: Anthony Jnr. Bokolo
Municipalities are concerned with addressing social issues such as mobility inclusion and safety by increasing access to transport facilities and services for all groups in society to create equitable and equal access for all citizens. Moreover, the public transportation systems provided in cities have to be inclusive and safe, driven by emerging technologies such as Artificial Intelligence (AI)-based services that provide personalized recommendation to improve mobility inclusion and safety for all citizens in society, especially vulnerable road users such as senior citizens or older people. But at the moment, there are few studies that have investigated how municipalities can provide inclusive and safe public transportation in general and for senior citizens, particularly those aged 65 and above. Therefore, this study aimed to examine how to provide inclusive and safe mobility for senior citizens to improve out-of-home mobility services for senior citizens towards age-friendly cities and communities. Accordingly, a systematic literature review grounded on secondary data was adopted to investigate inclusive and safe mobility needs for senior citizens. The data were collected from previous research and existing documents, and a descriptive data analysis was carried out to provide insights on urban transportation policies related to senior citizens. Furthermore, case studies were adopted to present polices and strategies employed in Norway, Canada, the United States of America, the United Kingdom, Sweden, and Northern Ireland to identify measures employed to address the public transportation needs of an aging society, focusing on the provision of inclusive and safe mobility to senior citizens. Further findings from this study included the possible use of emerging technologies such as AI-based machine learning for inclusive and safe mobility.
]]>Urban Science doi: 10.3390/urbansci7040102
Authors: David Hidalgo García Julián Arco Díaz
Global warming is precipitating an amplification of severe meteorological occurrences such as prolonged dry spells and episodes of elevated temperatures. These phenomena are instigating substantial elevations in environmental warmth, with metropolitan regions bearing the brunt of these impacts. Currently, extreme heat is already impacting 30% of the global populace, and forecasts suggest that this figure will escalate to 74% in the forthcoming years. One of the objectives outlined in the United Nations 2030 agenda, specifically within Sustainable Development Goal 11 (SDG11), is the attainment of sustainable urban development. To achieve this, it is imperative to scrutinize and delve into urban environmental conditions in order to understand their dynamics comprehensively. This understanding serves as the foundation for implementing mitigation and resilience strategies against climate change, ultimately enhancing the well-being of city residents. In this context, the field of remote sensing and geographic information systems has made substantial advancements. Notably, the UrbClim model, developed by the European Space Agency, facilitates the assessment of environmental conditions within numerous European urban centers. This research, utilizing data from UrbClim, examines the evolution of the heat stress index (Hi) during extreme heat conditions in Barcelona during the summer of 2017. Leveraging Landsat 8 satellite imagery, we derived the following variables: the normalized difference vegetation index and the normalized building difference index. Our findings reveal that during extreme heat conditions, the Hi index experiences an escalation, with areas characterized by a higher population density and industrial zones displaying lower resistance in contrast to regions with a lower population density and rural areas, which exhibit greater resilience to Hi. This disparity can be attributed to higher vegetation coverage and reduced building density in the latter areas. In this way, Hi increases more quickly and intensely and decreases more slowly when using high temperatures compared to average temperatures. This is of utmost importance for the future planning of new urban developments.
]]>Urban Science doi: 10.3390/urbansci7040101
Authors: Francesco Cianfarani Mohamed Abdelkarim Deborah Richards Rajith Kumar Kedarisetty
Vacant land in residual urban areas is a crucial resource to tackle the current climate and housing crises. In this study, we present the development of a geodatabase to determine the occurrence of vacant land in the urban core of Oklahoma City, USA (OKC), and assess its potential for infill housing. As a starting point, we define urban vacant land through a literature review. We present a description of the case study’s social and urbanistic context by highlighting its relevance to this study. We explain the methodology for the development of the geodatabase to quantify residual urban land in OKC’s urban core. We examine the spatial distribution and recurring characteristics of vacant parcels using QGIS, Python scripting for Rhinoceros 3D, and aerial imagery. We find that small parcels have higher vacancy rates than average-sized parcels and there is a correlation between higher vacancy rates and proximity to downtown and brownfields. Finally, we discuss the implications of the findings by assessing the urban vacant land potential for residential development and its contribution to OKC’s housing provision. Under all the proposed scenarios, the considered developable vacant land in the urban core could entirely fulfill the need for new housing units for the entire city.
]]>Urban Science doi: 10.3390/urbansci7040100
Authors: Roman Shults Mykola Bilous Azhar Ormambekova Toleuzhan Nurpeissova Andrii Khailak Andriy Annenkov Rustem Akhmetov
Modern cities are full of complex and substantial engineering structures that differ by their geometry, sizes, operating conditions, and technologies used in their construction. During the engineering structures’ life cycle, they experience the effects of construction, environmental, and functional loads. Among those structures are bridges and road overpasses. The primary reason for these structures’ displacements is land subsidence. The paper addresses a particular case of geospatial monitoring of a road overpass that is affected by external loads invoked by the construction of a new subway line. The study examines the methods of machine learning data analysis and prediction for geospatial monitoring data. The monitoring data were gathered in automatic mode using a robotic total station with a frequency of 30 min, and were averaged daily. Regression analysis and neural network regression with machine learning have been tested on geospatial monitoring data. Apart from the determined spatial displacements, additional parameters were used. These parameters were the position of the tunnel boring machines, precipitation level, temperature variation, and subsidence coefficient. The primary output of the study is a set of prediction models for displacements of the overpass, and the developed recommendations for correctly choosing the prediction model and a set of parameters and hyperparameters. The suggested models and recommendations should be considered an indispensable part of geotechnical monitoring for modern cities.
]]>Urban Science doi: 10.3390/urbansci7040099
Authors: Muhammad Naqash Toqeer Syed Saad Alqahtani Muhammad Siddiqui Ali Alzahrani Muhammad Nauman
Sustainable urban water management is essential to handle water scarcity, leakage, and inefficient distribution. This paper covers water management in urban areas, including an introduction, an overview of water management practices, the characteristics and functioning of water distribution systems, monitoring and control systems for efficient distribution, smart systems for optimization, strategies for water conservation and waste management, per capita water demand analysis, and desalination plant overviews. The article proposes a blockchain-based water management architecture with IoT sensors for accurate reporting. The framework uses blockchain technology to authenticate and share real-time data between sensors and the water distribution dashboard. It also has a modular API for water leakage detection and flow control to decrease water waste and enhance distribution. The suggested approach might enhance water management; however, its execution is complex. Maintaining the framework’s efficacy is advised. The research provides insights into water management and proposes a technology solution employing blockchain and IoT sensors for trustworthy data reporting and effective water distribution to promote sustainable urban water management.
]]>Urban Science doi: 10.3390/urbansci7030098
Authors: Naledzani Mudau Paidamwoyo Mhangara
Research on the detection of informal settlements has increased in the past three decades owing to the availability of high- to very-high-spatial-resolution satellite imagery. The achievement of development goals, such as the Sustainable Development Goals, requires access to up-to-date information on informal settlements. This review provides an overview of studies that used object-based image analysis (OBIA) techniques to detect informal settlements using remotely sensed data. This paper focuses on three main aspects: image processing steps followed when detecting informal settlements using OBIA; informal settlement indicators and image-based proxies used to detect informal settlements; and a review of studies that extracted and analyzed informal settlement land use objects. The success of OBIA in detecting informal settlements depends on the understanding and selection of informal settlement indicators and image-based proxies used during image classification. To meet the local ontology of informal settlements, the transfer of OBIA mapping techniques requires the fine-tuning of the rulesets. Machine learning OBIA techniques using image proxies derived from multiple sensors increase the opportunities for detecting informal settlements on the city or national level.
]]>Urban Science doi: 10.3390/urbansci7030097
Authors: Ndonaye Allarané Vidjinnagni Vinasse Ametooyona Azagoun Assouhan Jonas Atchadé Follygan Hetcheli Joanes Atela
Climate change and its corollaries suggest that urban planning tools and strategies need to integrate adaptation and resilience approaches into urban development. This study aims to inform decision makers and the scientific community of the importance of appropriating data on urban adaptation and resilience strategies in the city of N’Djaména. After sampling 519 city dwellers, oriented questionnaires and focus groups were used to collect socio-demographic parameters, major climate risks, their impacts on urban issues and the urban resilience strategies employed. The various exposure and impact indices were used to identify and prioritize climate risks and urban exposure issues with the populations concerned. The study highlighted three major climatic hazards, namely, flooding, heat waves and strong winds, and their impact on social and community facilities, the living environment and human health. Ten vulnerability factors have been identified, of which the intrinsically geophysical factors are most familiar to the city’s population. The principal component analysis (PCA) illustrates ten (10) strategies for adaptation and resilience to urban climate risks. To meet the climatic challenges in urban areas, this study makes several short-, medium- and long-term recommendations to decision makers.
]]>Urban Science doi: 10.3390/urbansci7030096
Authors: Iasmin Lourenço Niza Ana Maria Bueno Evandro Eduardo Broday
The growing concern for sustainability is evident, given the importance of guaranteeing resources for the next generations, especially in the face of increasing energy consumption in buildings. Regardless of the context, people seek comfort, which makes investigating Indoor Environmental Quality crucial. This covers aspects such as indoor air, temperature, noise and lighting, positively impacting quality of life, reducing stress, saving energy and promoting health, well-being and productivity. A literature review was conducted using the Scopus and PubMed databases to analyze technological advances and challenges in managing healthy and sustainable environments, focusing on the relationship between Indoor Environmental Quality and the Sustainable Development Goals. Initially, 855 articles were identified, of which 123 were selected based on established criteria. Three research questions (RQs) were formulated, leading to the following conclusions. (i) The assessment of sustainability in buildings is crucial, encompassing economic, social and environmental aspects. Furthermore, the COVID-19 pandemic has underscored the importance of adapting energy strategies, thereby contributing to the achievement of the Sustainable Development Goals through the utilization of advanced technologies that promote healthy and efficient environments. (ii) Evaluations have evolved, ranging from energy savings to human well-being and mental health, including disease prevention strategies. (iii) Challenges in managing the promotion of Indoor Environmental Quality include excessive resource consumption, emissions and economic–environmental balance.
]]>Urban Science doi: 10.3390/urbansci7030095
Authors: Yi Zhu Wanchen Diao Hu Zhao
Decades ago, bicycles used to play an important role in urban transportation in Chinese cities, but they have been gradually replaced by private cars, metro, buses, and some other modes, owning to the fast-growing mobility demand as a result of urban expansion and motorization. However, in recent years, with the development of Information and Communication Technologies (ICT) and the initiative of the sharing economy, bike-sharing systems (BSSs) have been implemented extensively in Chinese cities. Their usage patterns can be revealed via system-generated data, yet less is known about users’ attitudes towards and preferences for these systems. In this study, we draw on two surveys conducted in Guangzhou and Beijing on the perceptions of travelers using BSSs to estimate the effect of demographic factors, bicycle ownership, and trip-level factors on the willingness and potential frequency of BSS usage. In addition, a latent class model is built to analyze the different aspects of theses systems concerned with different types of urban travelers. It is found that respondents’ age, occupation, income, mode combination, and the proximity of origin or destination to the docking station, etc., influence the willingness and frequency of using BSSs. In addition, respondents generally value features such as the proximity of docking stations to trip destinations, safety to ride, and appropriate level of fare. However, different latent classes show a different preference for other features of BSSs. According to the model results, proposals are given for the improvement of the existing systems in Chinese cities.
]]>Urban Science doi: 10.3390/urbansci7030094
Authors: Anderson Vanin Peterson Belan
This study showcases the optimization of public lighting systems using computer vision with an emphasis on the YOLO algorithm for pedestrian detection, aiming to reduce energy expenses. In a time when the demand for electricity is escalating due to factors like taxes and urban expansion, it is imperative to explore strategies to cut costs. One pivotal area is public lighting management. Presently, governments are transitioning from sodium vapor lighting to LED lamps, which already contributes to decreasing consumption. In this scenario, computer vision systems, particularly using YOLO, have the potential to further reduce consumption by adjusting the power of LED lamps based on pedestrian traffic. Additionally, this paper employs fuzzy logic to calculate lamp power based on detected pedestrians and ambient lighting, ensuring compliance with the NBR 5101:2018 standard. Tests with public surveillance camera images and simulations validated the proposal. Upon implementing this project in practice, a 45% reduction in public lighting consumption was observed compared to conventional LED lighting.
]]>Urban Science doi: 10.3390/urbansci7030093
Authors: Ahmed Hazem Eldesoky Walid Samir Abdeldayem
The concept of resilience was only recently introduced into urban studies to address the complexity and future uncertainty in cities. In particular, the interest in better understanding how it can be integrated into studying urban form—as the raw material of urban planning/design and key for the sustainability of cities—has been growing. However, resilience is a polysemic concept with different meanings/interpretations, which creates ambiguity and challenges in its operationalization. This paper resolves this issue through a systematic review of 106 peer-reviewed publications guided by recurring questions in the literature (e.g., resilience of/through what? To what? For whom? How? When? Where?). The results showed that the urban form–resilience relationship is complex, where many urban form elements can influence resilience to a great many disturbances (general/specified). In facing these disturbances, urban form exhibits different performances (i.e., persistence, adaptability and transformability) and where it can be either persistent/adaptable/transformable itself or can enhance people’s persistence/adaptation capacities. The review also showed that there are many actors for urban form resilience and potential trade-offs. Finally, an overview of existing definitions of urban form resilience is provided to improve clarity in the field, and examples of general urban planning/design recommendations were formulated to enhance the resilience of different urban form elements.
]]>Urban Science doi: 10.3390/urbansci7030092
Authors: Riyadh Mundher Shamsul Abu Bakar Suhardi Maulan Hangyu Gao Mohd Johari Mohd Yusof Azlizam Aziz Ammar Al-Sharaa
Permanent forest reserves (PFR) in urban areas are an integral aspect of the urban forest concept and the basis of a city’s green infrastructure. The preservation of natural forests in urban areas has become a widely researched topic due to the environmental, social, and economic benefits provided by it. Although several studies have shown that visual aesthetics play a role in preserving natural forests in urban areas, visual aesthetic value is typically not prioritized in preservation plans since it varies based on the physical characteristics of natural forests in urban areas, making it difficult to measure universally. Therefore, this research aims to identify the suitable variables for assessing the visual aesthetic quality of permanent forest reserves within urban areas in Malaysia. This study selected two permanent forest reserves based on four criteria. Data were collected via participant-generated images taken along selected forest trails based on participant visual aesthetic preferences. Researchers and experts analyzed and classified the data according to content to identify suitable visual aesthetic quality variables. This research identified 14 suitable variables for assessing the visual aesthetics of PFRs in urban areas, with a dominant preference for information-processing theory variables. Mystery was the most present variable for the visual aesthetic quality assessment of PFRs. Furthermore, participants’ educational and emotional backgrounds, categorized as design, environmental, social, and technical, impacted their visual aesthetic preferences. Our findings serve as a foundation for assessing the visual aesthetic quality of natural forests within urban areas in Malaysia.
]]>Urban Science doi: 10.3390/urbansci7030091
Authors: Sangwan Lee Jicheol Yang Kuk Cho Dooyong Cho
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Values (SHAP), with national data sources in South Korea collected from the Korea Transport Institute, Statistics Korea, and National Spatial Data Infrastructure Portal. Several key findings of feature importance and plots in non-linear relationships are as follows: First, accessibility indicators exhibited around 5 to 10% of feature importance except for Mart (around 50%). Second, better accessibility to public transportation infrastructures, such as bus stops and transit stations, was associated with higher annual average daily traffic (AADT), particularly in metropolitan areas including Seoul and Busan. Third, access to large-scale markets may have unintended effects on traffic volumes for both vehicles and automobiles. Fourth, it was shown that lower rates of AADT were associated with higher accessibility to elementary schools for all three modes of transportation. This study contributes to (1) understanding complex relationships between the variables, (2) emphasizing the role of transportation accessibility in transportation plans and policies, and (3) offering relevant policy implications.
]]>Urban Science doi: 10.3390/urbansci7030090
Authors: Apostol Todorov Petya Gicheva Vanya Stoykova Stanimir Karapetkov Hristo Uzunov Silvia Dechkova Zlatin Zlatev
Air pollution and travel comfort in public transport is a significant problem as it can cause health problems for passengers. There are no sufficiently developed and researched monitoring systems for measuring the quality of the environment in public transport, which makes it difficult to assess the extent of the problem and implement effective solutions. This study presents the results of measurements made with a developed system for assessing air pollution and environmental quality in urban transport. Two time periods were defined based on air pollution and traffic levels, and informational features were selected for bus stops and buses. Noise was found not to be an informative feature, but vehicle acceleration should be considered in environmental quality monitoring. A quadratic discriminant classifier combined with principal components was shown to accurately classify high and low pollution time periods. Further research is planned to investigate the relationship between air pollution and travel discomfort and to develop effective strategies to improve air quality in urban public transport.
]]>Urban Science doi: 10.3390/urbansci7030089
Authors: Nguyen Bac Giang Tran Ngoc Tuan Hoang Cong Tin Duong Thanh Chung Tran Ngoc Khanh Ni Ngo Huu Binh Duong Thi Nhung Le Cong Tuan Te Minh Son Nguyen Tran Bao Khuyen
Plastic waste poses a significant threat to the environment, impacting both aquatic ecosystems and human health. This study aimed to quantify the leakage of plastic waste from urban and rural areas into the Tam Giang–Cau Hai lagoon system area in Vietnam. The research involved conducting surveys and sampling plastic waste in wards and communes surrounding the Tam Giang–Cau Hai lagoon system, as well as utilizing a waste flow diagram to calculate the amount of plastic waste leakage into the environment. The findings of the study reveal that the annual plastic leakage in this study area is approximately 479 tons. The majority of this waste enters the water body system, accounting for 74.1% of the total leakage, followed by land areas at 23.4% and land burning at 2.5%. Among the sources contributing to the wastewater flow in the area, households and markets were found to be the two primary contributors. Household waste accounted for 70.4% (2806 tons year−1) of the total, while the market sources accounted for 16.9% (675 tons year−1). This study marks the inaugural effort to assess the extent of plastic waste released from Hue City into the Tam Giang–Cau Hai lagoon system. It plays a pivotal role in examining the makeup, source of plastic waste and path of plastic waste leakage.
]]>Urban Science doi: 10.3390/urbansci7030088
Authors: Ayub Shaikh Kul Vaibhav Sharma Vijendra Kumar Karan Singh
Extreme weather events such as droughts are catastrophic and can have serious consequences for people and the environment. Drought may be managed if measures are taken in advance. The success of this endeavor depends on a number of factors, not the least of which is accurate descriptions and measurements of drought conditions. Reducing the negative consequences of droughts requires an early forecast of drought conditions. The primary objective of this research is, hence, to establish a process for the assessment and prediction of drought. The drought evaluation was carried out using the standards established by the SPI and the Indian Meteorological Department. Maps of drought severity were generated using severe drought data. Thirty years’ worth of SPI readings was analyzed. Fuzzy-based drought forecasting model parameters were determined during a 25-year period, and the model was validated throughout the remaining years. The findings of this study can be used by the community to help combat the drought. Before the drought worsens, the local government can implement lifesaving mitigating measures.
]]>Urban Science doi: 10.3390/urbansci7030087
Authors: Emily Talen
While scale is an essential factor in discussions about sustainable cities, there is no common understanding of what scale is or how it should be measured. This paper sheds light on the issue of scale by suggesting how it might be measured and evaluated. My purpose is to offer both a methodological and empirical contribution to the understanding of scale, using Chicago as a case study. Using historical Sanborn maps, I first investigate scale change over time, focusing on a selection of 31 sites that are now “mega-developments” but were originally composed of small-scale buildings and blocks. I quantify that the historical urban fabric had five times as many buildings, and a much higher percentage of buildings with mixed use. I then look at the city as a whole and compare urban scale to pedestrian quality to assess whether there is a quantifiable difference between large- and small-scale urbanism. I find that, at least for Chicago, small scale urbanism is associated with higher pedestrian quality. For the third part of the analysis, I correlate scale and socio-economic characteristics at the census tract level. The results illuminate a mixed set of differences between scale and socio-economic characteristics like income and housing value.
]]>Urban Science doi: 10.3390/urbansci7030086
Authors: Marco Hölzel Walter Timo de Vries
Remote rural areas have been declining in population for decades, partly permanently as people move away and partly temporarily, owing to commuting. This increasing paucity of inhabitants is causing these places to lose vitality and versatility; this, in turn, renders them less attractive overall. In terms of spatial development, policies devised for rural areas have long been concerned not only with agriculture, but also with holistic development. For some years now, ICT has work become increasingly location-independent. This is often seen as an opportunity for rural development. In addition to the general facilitation of remote working, i.e., working from home, coworking spaces make it possible to separate out our private and professional lives. The aim of this research is to find out to what extent public authorities position themselves on this topic and express their views on coworking spaces. Policies in this area have been promulgated by various federal ministries (Bundesebene) and federal states (Länderebene). Thus, we have collected relevant policies from the websites of federal ministries and three federal states (Bavaria, Schleswig-Holstein, Saxony-Anhalt), examined them for their keywords, and read and analyzed the documents that were found. Further, we have interviewed the founders and operators of particular coworking spaces. At the federal level, it is noteworthy that the ministry responsible for rural areas has published the greatest number of policies in which coworking spaces are mentioned. At the state level (Landesebene), the picture is more diverse, between the various state governments and the respective states. However, the contribution of coworking spaces to the vitality and versatility of rural towns is mentioned only rarely, and the importance of location is seldom pointed out. Comparing the results of this study with previous research in the literature, it can be concluded that public authorities should pay more attention to the opportunities and risks of coworking spaces in rural areas. Based on this, clearer objectives for coworking spaces in these areas can be formulated. When subsidies are disbursed, they should be accompanied by a mandatory evaluation to check what the subsidies have achieved and whether the subsidies have been used in a targeted manner. In addition, a larger database could be created for further research.
]]>Urban Science doi: 10.3390/urbansci7030085
Authors: Yvanna Todorova Izzy Wellings Holly Thompson Asya Barutcu Lewis James Nicolette Bishop Emma O’Donnell Colin Shaw Daniel P. Longman
Chronic stress and obesity are major public health concerns and represent significant risk factors for a plethora of non-communicable diseases. Physical exercise represents a valuable health intervention in both cases, providing benefits for mental and physical health, as well as appetite regulation. While the emerging field of ‘green exercise’ suggests that the presence of nature may amplify the benefits of exercise, the quality of evidence has been questioned. To address this, we recruited 22 healthy females to complete a crossover randomised trial comprising a 75 min walk in both a forest and urban area, separated by 2–7 days. Markers of mood (Profile of Mood States), stress (sympathetic-adreno-medullar [resting heart rate, blood pressure] and hypothalamic–pituitary axis activation [salivary cortisol]) and eating behaviour (energy intake and salivary ghrelin) were measured before and after each walk. While both walking interventions improved mood and reduced physiological stress, the nature intervention (but not the urban intervention) also led to further improvements in total mood disturbance, depression, confusion and esteem-related affect (F(1,21) ≥ 4.98, p ≤ 0.037). Salivary ghrelin (F(20) = 0.229, p = 0.637) and energy intake (t(20) = −0.54, p = 0.60) did not respond differently in the two environments. Overall, while walking improved mood and physiological stress in both environments, walking in a forested environment provided additional benefits for mood not seen following the urban walk.
]]>Urban Science doi: 10.3390/urbansci7030084
Authors: Van Quy Khuc Duc Trung Tran
This paper introduces an advanced method that integrates contingent valuation and machine learning (CVML) to estimate residents’ demand for reducing or mitigating environmental pollution and climate change. To be precise, CVML is an innovative hybrid machine learning model, and it can leverage a limited amount of survey data for prediction and data enrichment purposes. The model comprises two interconnected modules: Module I, an unsupervised learning algorithm, and Module II, a supervised learning algorithm. Module I is responsible for grouping the data into groups based on common characteristics, thereby grouping the corresponding dependent variable, whereas Module II is in charge of demonstrating the ability to predict and the capacity to appropriately assign new samples to their respective categories based on input attributes. Taking a survey on the topic of air pollution in Hanoi in 2019 as an example, we found that CVML can predict households’ willingness to pay for polluted air mitigation at a high degree of accuracy (i.e., 98%). We found that CVML can help users reduce costs or save resources because it makes use of secondary data that are available on many open data sources. These findings suggest that CVML is a sound and practical method that could be widely applied in a wide range of fields, particularly in environmental economics and sustainability science. In practice, CVML could be used to support decision-makers in improving the financial resources to maintain and/or further support many environmental programs in years to come.
]]>Urban Science doi: 10.3390/urbansci7030083
Authors: Karzan Ismael Szabolcs Duleba
Transport policymakers need to have an in-depth understanding of public transport (PT) customers in order to effectively manage transport systems and maintain the attractiveness of these systems to potential users. This research aims to compare the perceptions and satisfaction levels of two groups of PT users (habitual and occasional) among university staff and students regarding the quality of PT through a new integrated approach. A sample of 500 participants from Budapest, Hungary was used. Two stages of analysis were conducted: a descriptive analysis was conducted in the first stage, and Student’s t-tests of two independent samples were applied to identify the varying perceptions and overall satisfaction. Second, a new integrated ordered probit model (OPM) and an importance–performance analysis (IPA) were used to envisage how best to prioritize actions for transport enhancement. The results show that in the circle of commuters, the habitual PT users were more satisfied with the existing PT service than the occasional PT users. According to the findings of the IPA, for habitual users, the attribute “information provided” has a high priority for improvement, whereas the cost for both user types was found to be significant for all models, contributing to overall satisfaction. This factor was included in the possible overkill quadrant, suggesting that there might be more cost resources than needed. The new model, along with the case study results, may help policymakers and transport operators to make better decisions regarding the identification of service priority areas.
]]>Urban Science doi: 10.3390/urbansci7030082
Authors: Noura Al Nasiri Abdullah Al Fazari Waad Ali Boadi Agyekum Elnazir Ramadan
Sewer Treatment Plants (STPs) are essential pieces of infrastructure given the growing scarcity of water sources due to the challenges of urbanization. The positioning of STPs is a complex multidimensional process that involves integrative decision-making approaches that consider multiple sustainability criteria to ensure their optimal placement. The Multi-Criteria Decision Method (MCDM) is a suite of approaches available to decision-makers when making systematic and scientifically informed decisions on siting wastewater treatment plants. Although MCDM methods have manifold applications in different geographic contexts, there is a paucity of studies employing MCDM models for the siting of STPs within the context of Oman. In this study, we assessed the locations of existing STPs and identified suitable locations for future STPs within the Muscat Governorate of Oman using a Multi-Criteria Decision-Making Analytic Hierarchy Process (MCDM-AHP) model in a Geographic Information System (GIS) environment. Eight factors were considered in the MCDM-AHP model: slope, elevation, proximity to built-up areas, airports, valleys, road networks, the sea, parks, and golf courses. Each factor was assigned priority weights based on its importance using the AHP method. Thematic maps were generated to categorize the potential sites into different suitability levels. The results showed that the coastal areas of A’Seeb and Bowsher were the most suitable locations for STPs, representing only 1.19% of the total study area. The novelty of this study stems from the perspective of an original application within the context of Oman, which has generated novel results and interpretations. This has significant implications for urban policy and planning with respect to better informing decision-makers with a systematic framework for efficient wastewater treatment.
]]>Urban Science doi: 10.3390/urbansci7030081
Authors: Angie Katherin Salamanca-Cano Pamela Durán-Díaz
Effective stakeholder engagement is vital for sustainable water management in the Bogotá River Basin, which faces serious environmental and socio-economic challenges, including water scarcity, pollution, and inequitable distribution. Engaging diverse stakeholders can promote shared decision-making, identify common goals, and enhance the implementation of sustainable water governance strategies. Taking this into account, this research evaluates multi-stakeholder engagement in the Bogotá River Basin in Colombia over the past 30 years to promote sustainable water management in the face of current global challenges. The research methodology includes a desk-based and systematic review, as well as policy analysis using descriptive and quantitative methods. With the use of MAXQDA software, we identified 74 national, regional, and local policies focused on stakeholder engagement for water management in Colombia, which were narrowed down to 22 documents for the Bogotá River Basin. The policy analysis is based on the Organization for Economic Co-operation and Development (OECD) indicator for Principle 10 to self-assess the level of legal framework implementation and stakeholder engagement. The self-assessment pointed out that despite the strong legal background and the enhancement of stakeholder engagement via formal and informal participatory mechanisms in the first stages of policy-making, there is a lack of engagement in the evaluation and follow-up phases, leading to box-ticking mechanisms. The findings suggest that effective stakeholder engagement needs to be comprehensive in policy-making processes, especially in the evaluation and follow-up stages. Moreover, the river basin’s management can improve by making a clear disclosure about the outcomes of participatory processes. This research concludes that promoting shared decision-making, identifying common goals, and enhancing the implementation of sustainable water management strategies can greatly benefit the Bogotá River Basin. These efforts can lead to more effective and efficient use of water resources and ultimately contribute to a healthier and more sustainable environment.
]]>Urban Science doi: 10.3390/urbansci7030080
Authors: Domenica Seminario-Calle Melissa Ortega-Maldonado Verónica Pinos-Vélez Juan Cisneros Andrés Montero-Izquierdo Paulina Echeverría-Paredes Paola Duque-Sarango Paúl Álvarez-Lloret
The consumption of batteries and cooking oil have been increasing. Most used batteries are disposed of incorrectly, leading to health and environmental problems because of their composition. In a similar form, cooking oil, once used, is often released by the discharge reaching the wastewater, polluting soil, and water, which affects its treatment. In Ecuador, these environmental passives are recollected and stored without further treatment, which is a temporary and unsustainable solution. To address this issue, the circular economy concept has gained increasing attention. In this study, zinc oxide was prepared from discarded batteries using the hydrometallurgical method to use as a catalyst; it achieved 98.49% purity and 56.20% yield and 20.92% of particles presented a particle size of 1–10 nm. Furthermore, the catalyst morphology was investigated in an SEM, which showed that particle size ranged from 155.69 up to 490.15 nm and spherical shapes. Due to its characteristics, the obtained catalyst can be used in the industry instead of the zinc oxide obtained by mining processes. These processes are known to produce heavy contamination in the ecosystems and human health. Additionally, a zinc oxide lifecycle in the environment was analyzed through a material flow analysis (MFA), taking into consideration two paths, one assuming the disposal of used batteries and the other assuming the recycling of zinc. Biodiesel was produced with a heterogeneous catalyst. This took place with a transesterification reaction with used cooking oil, ethanol, and zinc oxide (ZnO) as catalysts. The biodiesel obtained had the following characteristics: 37.55 kJg−1 of heating power, 0.892 gcm−3 of density, 4.189 mm2/s of viscosity, 0.001% of water content, and a 70.91% yield. Furthermore, the energy consumption in biodiesel production was quantified, giving a total of 37.15 kWh. This kind of initiative prevents that waste from becoming environmental pollutants and potential health risks by giving them a second use as a resource. Moreover, turning waste into a valuable product makes the processes self-sustaining and attractive to be implemented.
]]>Urban Science doi: 10.3390/urbansci7030079
Authors: Shubhankar Sengupta Dmitry V. Kovalevsky Laurens M. Bouwer Jürgen Scheffran
Coastal flood risk and sea-level rise require decisions on investment in coastal protection and, in some cases, the relocation of urban areas. Models that formalize the relations between flooding costs, protective investments, and relocation can improve the analysis of the processes and issues involved and help to support decision-making better. In this paper, an agent-based model of a coastal city is represented in NetLogo. This model is based on the VIABLE modeling framework and describes adaptive dynamic agent behavior in a changing system. The hypothetical city faces damage caused by gradually rising sea levels and subsequent extreme sea-level events. To mitigate these risks, an “urban planner” agent has two adaptation measures at their disposal: developing coastal defenses or, as a more extreme measure, relocating vulnerable areas inland. As the simulation progresses and the decisions change with rising sea levels, the agent alters investments in these two measures to increase its value function, resulting in dynamic reactive behavior. Additionally, gradual sea-level rise is implemented in various modes, along with extreme sea-level events that cause severe short-term damage. The results of simulations under these modes and with multiple scenarios of agent action are presented. On average, agent behavior is quite reactive under limited foresight. Individual simulations yield a ‘priming’ effect when comparing different timings of extreme sea-level events, wherein an earlier extreme event primes the agent to adapt and thus be better prepared for subsequent events. Agent success with adaptation is also found to be sensitive to the costs involved, and these varying degrees of adaptation success are quantified using three parameters of adaptation success.
]]>Urban Science doi: 10.3390/urbansci7030078
Authors: Pedro Afonso Fernandes
Space syntax is a set of theories and techniques for analysing urban settlements and buildings. Here, we propose a new approach to perform syntactic analyses that requires only the declaration in a computer program of the connections between axial lines or convex spaces using Prolog, a logic programming language concerned with artificial intelligence. With this new tool, we found that the deep tree nature of modern estates can be mitigated with a concentric structure similar to the famous Bororo village. In fact, Portela, a high-rise settlement near Lisbon (Portugal), is structured around a central open space (green park) equipped with noninterchangeable facilities (mall, sports centre and church), which are highly synchronised with the surrounding buildings (towers and blocks). The transpatial relations between housing estates and the central zone are maximised either by a distributive ringy network or by a smart grid of pedestrian paths. The result is a compact and integrated settlement with a strong identity and sense of belonging. Nevertheless, this kind of concentric dual system is potentially unstable, a problem that was minimised by forcing a clear opposition with a popular neighbourhood at Portela’s vicinity. With this case study, we show how logic programming is a useful tool to describe the patterns of discrete systems as social knowables due to its declarative nature. In fact, a Prolog program represents a certain amount of knowledge, namely, concerned with the structure of an urban settlement (or building), which could be used to answer queries about the social and economic consequences of certain spatial designs.
]]>Urban Science doi: 10.3390/urbansci7030077
Authors: Olga Zotova Lyudmila Tarasova
Social and cultural changes have brought about a new understanding of the space–time continuum within which modern cities are evolving. A comfortable urban environment contributes to the development of a sustainable urban environment, to the psychological health and social well-being of citizens, as shown by the observation of life in public spaces. In our study, the courtyard is treated as a specific human habitat that satisfies a wide range of people’s needs due to the unity of physical, social, and existential features of the place. It is the environment that is present throughout a person’s life, is biographically tied up with his history and that of his family, and therefore reflects his individuality, expresses identity, and stimulates personal authenticity. To assess Yekaterinburg residents’ perception of the yard space as an element of the urban environment, which is the aim of the study, the authors exploited the method of a questionnaire based on two measures, namely architectural semantic differential and incomplete sentences. It was found that the image My Courtyard was the most uncomfortable and “frozen” of all the urban elements and My City was the most comfortable and dynamic. The respondents perceive the house and the adjacent area as a complete unit. The coincidence of the Ideal Courtyard image in all groups of respondents indicates that this image is universal and does not depend on the place of a person’s actual residence. The study can contribute to formulating recommendation to develop the courtyard space and universal models for improving adjacent areas, taking into account the psychological characteristics and needs of the population.
]]>Urban Science doi: 10.3390/urbansci7030076
Authors: Ioannis A. Pissourios
Although the tradition of surveying and analyzing urban land uses for town planning purposes dates back to the 19th century, the evolution of survey methods has not been studied in detail. With the intention of filling this gap, the present article reviews the pertinent Anglo-American literature on survey methods, published from the beginning of the 20th century to date, and highlights the key contributions. Additionally, it proposes a periodization of the methodological evolution in three phases and identifies the main discussions developed on survey methodology, so as to provide a basis for more structured research on the subject matter.
]]>Urban Science doi: 10.3390/urbansci7030075
Authors: Kanishtha Dubey Shubha Verma Sauvik Santra Mukul Kumar
Fourteen Indian cities, including urban and rural locations, were chosen for the present study across India, with unhealthy air quality based on National Air Quality Index (NAQI > 100). However, it was found that NAQI values over the locations are driven by the undifferentiated mass concentration of particulate matter (PM, both PM10 and PM2.5) than other criteria pollutants. The PM2.5 and PM10 concentration during the winter violated the National Ambient Air Quality Standards (NAAQS) of India by two to five times at six urban locations, with the mean daily PM2.5 concentration averaged over the month; the the largest being at Patna (353 µg m−3) during the winter and lowest at Bengaluru (27 µg m−3) during the summer. The analysis of chemical species, in general, indicated NO2 (SO2, CO) as having a 25% to 70% (16% to 50%, 16% to 85%) increase in concentration from the summer to winter, which is adequately reflected in higher fuzzy scores during the winter. Thus, to provide a realistic approach to air quality management, the present study focuses on identifying priority-based locations requiring immediate mitigation measures by developing a Prioritized Clean Air Assessment Tool (PCAT). The tool utilizes a fuzzy-based algorithm to incorporate the cumulative effect of all six criteria pollutants, taking into consideration the severity of their expected health implications. Using PCAT, Delhi and Varanasi cities are identified for prioritized mitigation considering the NAAQS of India, unlike all cities (except Bengaluru) during the winter and nine out of fourteen cities during the summer, considering the NAQI. Using more stringent WHO guideline values in PCAT, six cities out of fourteen were identified requiring immediate mitigation during the winter and summer months; locations such as Solapur and Patna are identified to need season-specific mitigation measures during the summer and winter, respectively. The tool is simplistic, user-friendly, and quickly evaluates multiple locations simultaneously to provide priority sites.
]]>Urban Science doi: 10.3390/urbansci7030074
Authors: Beibut Amirgaliyev Oleksandr Kuchanskyi Yurii Andrashko Didar Yedilkhan
This study considers building a dynamic model of profit maximization for a carsharing system and its verification based on the case of implementing such a system in Astana, Republic of Kazakhstan. The region, bounded by the administrative boundaries of Astana, was divided into subregions that covered the region with regular hexagons placed side by side. A dataset was built with information on 1168 trips to Astana from January to March 2023. The Kepler visualization service constructed maps of the beginning and end of the trips to the region and a map of trips binding to the hexagonal grid cells. Each cell of the grid corresponds to a specific subregion, for which the quantitative parameters necessary for solving the profit maximization problem in the carsharing system are calculated. Stations with cars are placed in the cells of the grid, which are available to carsharing service customers. Based on the collected data, dynamic (four periods per day) and static profit maximization models in the carsharing system were built. Modeling was carried out based on the built models in the case of Astana. It was established that using a dynamic profit maximization model in the carsharing system increases profit by 3.7%. The obtained results are important for the development of the infrastructure of the capital of Kazakhstan and for finding a solution to the problems of urban science in this region.
]]>Urban Science doi: 10.3390/urbansci7030073
Authors: Janeth Mwile Mwasenga Ibrahimu Chikira Mjemah
The development of socio-economic activities within the 60 m buffer zone has imposed change on the characteristics of rivers in northern Tanzania, subjecting rivers to collateral and irreversible damage due to their prolonged exposure to anthropic activities. Time series satellite images were classified to analyze land use/cover (LULC) changes and anthropic development along the buffer zone from 2000 to 2020. Structured questionnaires were used to identify the encroachment factors and level of compliance with alleged environmental legislation. Furthermore, focus group discussions were used to acquire information on the concurrent barriers to environmental legislation implementation. The land use/cover change along the buffer zone showed that agriculture and artificial areas had a credible increase of about 43% and 30% from 2000 to 2020, respectively. Furthermore, forest and semi-natural areas decreased by 71% from 2000 to 2020, whereas wetlands decreased by about 2% within the same timeframe. On the other hand, artificial and agricultural areas increased by 24.5% and 19.5%, respectively. Forest and semi-natural areas decreased by about 44%, whereas wetlands and water showed a flimsy increase from 2000 to 2020. This trend shows that high land use/cover changes occurred along the riparian buffer zone. The results suggest that urbanization is the main driving force for riparian buffer zone encroachment, threatening ecological well-being and water resource sustainability in urban rivers. The findings of this study are useful for advancing regional and national policies and practices for sustainable water resource management.
]]>Urban Science doi: 10.3390/urbansci7030072
Authors: Yellapragada Venkata Pavan Kumar Sivakavi Naga Venkata Bramareswara Rao Ramani Kannan
The development of renewable-energy-based microgrids is being considered as a potential solution to lessen the unrelenting burden on the centralized utility grid. Furthermore, recent studies reveal that integrated multi-microgrid cluster systems developed in urban communities maximize the effectiveness of microgrids and greatly decrease the utility grid dependence. However, due to the uncertain nature of renewable energy sources and frequent load variations, these systems face issues with unintentional islanding operations. This can create severe damage to the microgrid’s performance in its stable operating condition and lead to undesired transient responses. Hence, islanding must be identified rapidly to take preventive measures to address the issue. This requires the development of a suitable anti-islanding technique that is faster in terms of accuracy and timely detection. With this intention, this paper proposes a decision-tree-based fuzzy logic (DT-FL) controller for the rapid identification of islands in an urban community multi-microgrid cluster. The DT-FL controller’s operation includes two steps. First, the decision tree extracts the electrical parameters at the point of common coupling of the multi-microgrid system. Second, these extracted parameters are utilized for the online tuning of the fuzzy logic controller, for the fast detection of islanding. The multi-microgrid cluster under study, along with the proposed islanding technique, is implemented in the MATLAB-2021a software. The efficacy of the proposed DT-FL controller is validated by comparing its performance with that of the conventional fuzzy logic controller under different test scenarios. From the results, it is observed that the proposed DT-FL controller shows superior performance in terms of the islanding detection time as well as the transient response of the system when compared with the conventional controller.
]]>Urban Science doi: 10.3390/urbansci7030071
Authors: Molla Rahman Shaibur Ishtiaque Ahmmed Sabiha Sarwar Rezaul Karim Md. Musharraf Hossain M. Shahidul Islam Md. Shaheen Shah Abu Shamim Khan Farhana Akhtar Md. Galal Uddin M. Moklesur Rahman Mohammed Abdus Salam Balram Ambade
The composition of groundwater governs the drinking and irrigation water suitability. A large part of the coastal region of Bangladesh is affected and is responsible for changing the composition of the groundwater. This research attempted to observe the groundwater quality of the Bhola Sadar and Char Fasson upazilas in coastal Bangladesh. Twenty-eight (28) water samples, 27 at depths of 260–430 m (850–1400 ft) and 1 from a crop field, were collected and analyzed. The quality of water samples was determined through the evaluation of odor, color, turbidity, electrical conductivity, pH, total dissolved solids, nitrate (NO3−), ammonium (NH4+), sodium (Na), potassium (K), calcium (Ca), magnesium (Mg), iron (Fe), manganese (Mn), copper (Cu), zinc (Zn) and arsenic (As) ions. An Atomic Absorption Spectrophotometer was used for heavy metal analysis. The outcomes were compared with the drinking water quality of Bangladesh and the World Health Organization. The results showed that the average values of nearly all of the parameters were underneath or within the standard level, representing that the groundwater was appropriate for drinking purposes. The water quality parameters were also compared with the irrigation water quality of Bangladesh and the Food and Agriculture Organization. It was found that the collected samples were also suitable for irrigation. To do this, the soluble sodium percentage, sodium adsorption ratio, magnesium adsorption ratio, Kelley’s ratio, and total hardness were calculated. The novelty of this research is that, despite being in a coastal district, the deep aquifer water of Bhola was appropriate for drinking and irrigation purposes.
]]>Urban Science doi: 10.3390/urbansci7030070
Authors: Thomas W. Sanchez
The urban planning process is complex, involving social, economic, environmental, and political systems. Knowledge of how these systems interact is the domain of professional planners. Advances in artificial intelligence (AI) present planners with a ripe opportunity to critically assess their approaches and explore how new data collection, analysis, and methods can augment the understanding of places as they seek to anticipate futures with improved quality of life. AI can offer access to more and better information about travel patterns, energy consumption, land utilization, and environmental impacts, while also helping to better integrate these systems, which is what planners do. The adoption process will likely be gradual and involve significant time and resources. This article highlights several topics and issues that should be considered during this process. It is argued that planners will be well-served by approaching AI tools in a strategic manner that involves the topics discussed here.
]]>Urban Science doi: 10.3390/urbansci7030069
Authors: Yalcin Yildirim
Several natural and historical areas around the world are listed as UNESCO Cultural Heritage Sites. Hanlar District, located in Bursa, is the fourth biggest city in Turkey, its history includes the Ottoman, Roman, and Byzantine Empires, and it is an area with unique environmental features that represent various historical periods. Scholars at institutions worldwide have already recognized that such an environment has unique characteristics, and so local authorities should preserve the soundscape of the district as the sounds reflect the urban identity of the city. This study aims to evaluate the sounds of this unique district and recommends ways to preserve the historical and cultural heritage of the site in terms of its sounds. After collecting more than seven hundred pieces of data on sound pressure levels (SPLs) at twenty-one locations, the SPLs were statistically analyzed (an ANOVA was used for different time intervals, and a t-test was used for different days). Noon and weekend measurements varied among the sites, and these variations were statistically significant. Furthermore, the SPLs were above the WHO’s suggested levels. The study findings show the importance of reducing sounds to create better acoustic environments. The local government should include all stakeholders, including residents, employees, and urban designers, in participatory approaches and action plans to preserve the sounds of cultural heritage sites.
]]>Urban Science doi: 10.3390/urbansci7030068
Authors: Venkataramana Veeramsetty Prabhu Kiran Munjampally Sushma Surender Reddy Salkuti
Weather forecasting is an essential task in any region of the world for proper planning of various sectors that are affected by climate change. In Warangal, most sectors, such as agriculture and electricity, are mainly influenced by climate conditions. In this study, weather (WX) in the Warangal region was forecast in terms of temperature and humidity. A radial basis function neural network was used in this study to forecast humidity and temperature. Humidity and temperature data were collected for the period of January 2021 to December 2021. Based on the simulation results, it is observed that the radial basis function neural network model performs better than other machine learning models when forecasting temperature and humidity.
]]>Urban Science doi: 10.3390/urbansci7020067
Authors: Mustafa Aziz Amen Ahmad Afara Hourakhsh Ahmad Nia
Walkability is considered a vital component of the urban configuration; urban spaces should promote pedestrian walking, which is healthier and increases social sustainability by connecting people in urban spaces. This article aims to find the link between the street layout centrality values and the people’s walkability for sustainable tourism in historic areas. Moreover, it attempts to explore the linkage between the urban layout and visiting historical spaces in the urban layout. The approach to the research has two phases; the first is to find people density (the tourist density) in the historical areas, and the second is to measure the centrality values of the urban layout utilizing the spatial design network analysis tool (sDNA). The research found that the street network considerably impacts the final tourist distribution, mainly because of the betweenness centrality; consequently, spaces with low betweenness centrality values are less reachable by the tourists in the historical area, although it has a high closeness centrality. The research concluded that considering the street network is necessary concerning the tourists’ walkability since it affects their density in the urban layout.
]]>Urban Science doi: 10.3390/urbansci7020066
Authors: Jesús Armando Aguilar-Jiménez Luis Hernández-Callejo José Alejandro Suástegui-Macías Victor Alonso Gómez Alfonso García-Álvaro Raúl Maján-Navalón Lilian Johanna Obregón
By the year 2020, 90% of the population with access to electricity worldwide was surpassed. However, the reality is very different for many countries, especially for those on the African continent that had more than 572 million people without electricity service at the end of 2019. This work studies the implementation of an isolated microgrid activated with photovoltaic energy and energy storage in batteries under the case study of the community of Bigene, located in the African country of Guinea-Bissau. This type of project is a potential solution to the problem of access to energy, but as the cost of the energy storage system is typically very high, this work technically and economically addresses the effect of using absorbed glass material (AGM) and lithium batteries. A simulator was developed using TRNSYS software to analyze the operation of the microgrid under a defined annual demand profile for different types of users, and economic analysis was conducted considering a project lifetime of 25 years. The results showed no significant differences in the solar fraction of both types of batteries when the photovoltaic power was less than 600 kW, regardless of the capacity of the storage bank. The analysis of auxiliary power requirements showed that lithium technology leads to a lower consumption from 800 kW of PV capacity, and utilizing less than this capacity did not have a significant difference with AGM batteries. In this microgrid with a photovoltaic capacity of less than 700 kW and an energy storage of less than 2580 kWh, the type of storage technology, AGM or lithium, did not represent a considerable difference in the levelized cost of energy, indicating that AGM technology could be selected considering its low initial investment cost compared to lithium batteries.
]]>Urban Science doi: 10.3390/urbansci7020065
Authors: Federico Karagulian Carlo Liberto Matteo Corazza Gaetano Valenti Andreea Dumitru Marialisa Nigro
This work describes a straightforward implementation of detecting and tracking pedestrian walking across a public square using computer vision. The methodology consists of the use of the well-known YOLOv3 algorithm over videos recorded during different days of the week. The chosen location was the Piazza Duca d’Aosta in the city of Milan, Italy, in front of the main Centrale railway station, an access point for the subway. Several analyses have been carried out to investigate macroscopic parameters of pedestrian dynamics such as densities, speeds, and main directions followed by pedestrians, as well as testing strengths and weaknesses of computer-vision algorithms for pedestrian detection. The developed system was able to represent spatial densities and speeds of pedestrians along temporal profiles. Considering the whole observation period, the mean value of the Voronoi density was about 0.035 person/m2 with a standard deviation of about 0.014 person/m2. On the other hand, two main speed clusters were identified during morning/evening hours. The largest number of pedestrians with an average speed of about 0.77 m/s was observed along the exit direction of the subway entrances during both morning and evening hours. The second relevant group of pedestrians was observed walking in the opposite direction with an average speed of about 0.65 m/s. The analyses generated initial insights into the future development of a decision-support system to help with the management and control of pedestrian dynamics.
]]>Urban Science doi: 10.3390/urbansci7020064
Authors: Jennie Gray Lisa Buckner Alexis Comber
Geodemographic classifications are useful tools for segmenting populations and have many applications but are not suitable for measuring neighbourhood change over time. There is a need for an approach that uses data of a higher spatiotemporal resolution to capture the fundamental dimensions of processes driving local changes. Data primitives are measures that capture the fundamental drivers of neighbourhood processes and therefore offer a suitable route. In this article, three types of gentrification are conceptualised, and four key data primitives are applied to capture them in a case study region in Yorkshire, England. These areas are visually validated according to their temporal properties to confirm the presence of gentrification and are then assigned to a high-level gentrification type. Ensemble modelling is then used to predict the presence, type, and temporal properties of gentrification across the rest of England. The results show an alignment of the spatial extent of gentrification types with previous gentrification studies throughout the country but may have made an overprediction in London. The periodicities of (1) residential, (2) rural, and (3) transport-led gentrification also vary throughout the country, but regardless of type, gentrification in areas within close proximity to one another have differing velocities such that they peak and complete within similar times. These temporal findings offer new, more timely tools for authorities in devising schedules of interventions and for understanding the intricacies of neighbourhood change.
]]>Urban Science doi: 10.3390/urbansci7020062
Authors: Ali Asgary Adriano O. Solis Nawar Khan Janithra Wimaladasa Maryam Shafiei Sabet
Cities have experienced different realities during the COVID-19 pandemic due to its impacts and public health measures undertaken to respond to and manage the pandemic. These measures revealed significant implications for municipal functions, particularly emergency services. The aim of this study is to examine the spatiotemporal distribution of emergency calls during different stages/periods of the pandemic in the City of Vaughan, Canada, using spatial density and the emerging hotspot analysis. The Vaughan Fire and Rescue Service (VFRS) provided the dataset of all emergency calls responded to within the City of Vaughan for the period of 1 January 2017 to 15 July 2021. The dataset was divided according to 11 periods during the pandemic, each period associated with certain levels of public health restrictions. A spatial analysis was carried out by converting the data into shapefiles using geographic coordinates of each call. Study findings show significant spatiotemporal changes in patterns of emergency calls during the pandemic, particularly during more stringent public health measures such as lockdowns and closures of nonessential businesses. The results could provide useful information for both resource management in emergency services as well as understanding the underlying causes of such patterns.
]]>Urban Science doi: 10.3390/urbansci7020063
Authors: Mansoor Urf Manoo Faheemullah Shaikh Laveet Kumar Siti Indati Mustapa
To meet electricity requirements and provide a long-term, sustainable existence, remote areas need to promote renewable projects. Most of the time, wind and solar power sources are selected as renewable energy technologies to help satisfy some of the power requirements. Alternative approaches should be employed, considering the inconsistent characteristics among those resources, to offer efficient and long-lasting responses. Electricity production needs to be conducted with the help of a wide range of energy sources to be productive and efficient. As a result, the current research concentrates on feasible analyses of interconnected hybrid energy systems for such remote residential electricity supply. To help a remote area’s establishment decide whether to adopt renewable electricity technology, this paper evaluates the techno-economic effectiveness of grid-connected and standalone integrated hybrid energy systems. The electricity requirements for the entire selected remote area were determined first. Furthermore, the National Aeronautics and Space Administration, a national renewable energy laboratory, was used to evaluate the possibilities of green energy supplies. A thorough survey was performed to determine which parts were needed to simulate the interconnected hybrid energy systems. Employing the HOMER program, we conducted a simulation, optimizations, and economic research. Considering the net present cost, cost of energy, and compensation time, an economic comparison was made between the evaluated integrated hybrid systems. The assessment reveals that perhaps the grid-connected hybrid energy system is the best option for reliably satisfying remote areas’ energy needs.
]]>Urban Science doi: 10.3390/urbansci7020061
Authors: Bridget Thodesen Erlend Andenæs Rolf André Bohne Tore Kvande
The timely implementation of climate adaptation measures for the urban environment is essential to the creation of robust cities. Within Norway, these adaptation measures are undertaken at the municipal level. Unfortunately, the implementation of adaptation measures has lagged behind expectations, partially due to public resistance to local projects. City planners seek tools to provide insight into the priorities of residents to build consensus and public support. This study follows up on two previous case studies of Sustainable Urban Drainage System (SUDS) implementation in Trondheim, Norway, where the prioritization of urban space is often a source of conflict. The Hofstede Cultural Compass is a tool that maps six cultural dimensions used in research and practice to inform users about cultural norms and cross-cultural divergences. This study seeks to test and verify this tool for use in building public consensus and support. Municipal managers responsible for project implementation took the Cultural Compass survey, and the results were collectively mapped and compared to the public at large. The Cultural Compass found notable divergences between the municipality and the Norwegian public within the areas of “Long-term Orientation”, “Uncertainty Avoidance”, and “Masculinity vs. Femininity”. These findings were cross-referenced with thematically analyzed interviews of residents regarding their perceptions of a municipal SUDS project. Together, these case studies give greater insight into the issues of diverging priorities and perspectives experienced in the implementation of SUDS. Recommendations are presented to aid the understanding of intercultural divergences between planning offices and public priorities in an effort to better engage the public and build consensus.
]]>Urban Science doi: 10.3390/urbansci7020060
Authors: Asmaa Al-Mohannadi Mark David Major Raffaello Furlan Rashid Saad Al-Matwi Rima J. Isaifan
Housing is a basic human need and a fundamental component of settlement status. The architectural form and spatial provisions of housing evolve in line with—and transform to meet—a specific era’s needs. Globalization has been responsible for changing the nature of housing in Qatar over the last thirty years. It has led to a standardization of construction methods and built form, representing a dramatic departure from past models of vernacular residential architecture. In light of these challenges, the ultimate purpose of this study is to explore the spatial and cultural features in a small sample of contemporary housing in Qatar. It explores the spatial layout of four Qatari residential villas to assess the social and cultural roles in contemporary housing models against the background of previous research. In the study, the authors utilized space syntax as an analytical tool to demonstrate patterns of visibility and room relations in the samples to understand occupants’ system of activities in the contemporary domestic setting, deploying visibility graph analysis (VGA) and relational graphs. Key findings include the interpretation of the probable relation to socio-cultural factors such as gender roles, hospitality, and privacy. Hence, this study fills gaps in knowledge about Qatari and Middle Eastern housing today.
]]>Urban Science doi: 10.3390/urbansci7020059
Authors: Quan-Hoang Vuong Tam-Tri Le Viet-Phuong La Thu-Trang Vuong Minh-Hoang Nguyen
Air pollution is a considerable environmental stressor for urban residents in developing countries. Perceived health risks of air pollution might induce migration intention among inhabitants. The current study employed the Bayesian Mindsponge Framework (BMF) to investigate the rationale behind the domestic and international migration intentions among 475 inhabitants in Hanoi, Vietnam—one of the most polluted capital cities worldwide. We found that people perceiving more negative impacts of air pollution in their daily life are more likely to have migration intentions. The effect of perceived air pollution impact on international migration intention is stronger than that of domestic migration. Acknowledging a family member’s air pollution-induced sickness moderated the association between perceived air pollution impact and domestic migration intention, while the personal experience of air pollution-induced sickness did not. In contrast, the moderation effect of personal experience of sickness became significant in the international migration circumstance, but the effect of information about a family member’s sickness was negligible. The findings suggest that urban inhabitants’ consideration of air pollution-averting strategies reflects some characteristics of Homo Oeconomicus. Although an individual’s socioeconomic decision may seem insignificant on a collective scale, through environmental stressors as catalysts, such decisions might result in considerable social tendencies (e.g., internal migration and emigration).
]]>Urban Science doi: 10.3390/urbansci7020058
Authors: Izyan Ayuni Mohamad Selamat Sreetheran Maruthaveeran Mohd Johari Mohd Yusof Mohd Fairuz Shahidan
Urban vacant land availability offers revitalisation opportunities in the form of improving ecological functions. However, less is known about the available planning tools with which to mobilise this effort. Hence, this systematic review adopts ecological perspectives to explore planning tools to revitalise urban vacant land. The search strategy employs Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines to track original research on vacant urban land from selected electronic databases. The search revealed thirty-six studies focusing on substance-oriented planning tools (indicator systems, Geographic Information System (GIS), models/simulations, field surveys, and experiments) and process-oriented tools (questionnaire surveys, the Delphi method, focus groups, and interviews). This review suggests that future studies adopt hybrid planning tools that combine the essence of substance- and process-oriented tools. Furthermore, as a framework, it recommends taking a stepwise approach at various planning stages to revive vacant land. Additional studies from the perspective of growing cities are necessary to provide insights into urban vacant land revitalisation planning, considering the competing objectives of economic prosperity and green space preservation.
]]>Urban Science doi: 10.3390/urbansci7020057
Authors: André Tchoia Relógio Fernando Oliveira Tavares
This study aimed to investigate the level of client satisfaction among airline passengers and other users of Huambo’s airport in Angola. A quantitative method was used, based on a questionnaire addressed to airline passengers on their trips to Huambo and their use of Huambo’s airport. This sample comprises 619 questionnaire answers. As a result of the study, it is possible to relate client satisfaction with the size of the aircraft in question and with the ease of booking a trip. On the contrary, clients become more dissatisfied when the cost of the trip is higher. An analysis of the degree of client satisfaction among airline passengers shows three categories: the waiting time and service at the airline office, the comfort during the trip, and the empathy of the cabin staff. This study is expected to be useful to show the preferences of the clients of this African airport.
]]>Urban Science doi: 10.3390/urbansci7020056
Authors: Josana Gabriele Bolzan Wesz Luciana Inês Gomes Miron Ioanni Delsante Patricia Tzortzopoulos
The built environment has great influence over the sustainability of societies as well as over people’s quality of life. Quality of life (QoL) is a broad concept that has different definitions across diverse bodies of knowledge. The social–cultural environment and the characteristics of the built environment influence people’s perception of QoL. This study aims to identify and analyse the factors that impact QoL and sustainable development in the urban context. A systematic literature review was developed to understand QoL concepts and to identify urban indicators that contribute to the multidimensional evaluation of urban QoL. The results include (1) a holistic overview of QoL concepts and indicators; (2) the proposal of a holistic urban QoL concept; (3) the identification of urban QoL dimensions and indicators that contribute to urban QoL evaluation. The main contribution of this study is its discussion of the multidimensional nature of QoL, including objective and subjective dimensions.
]]>Urban Science doi: 10.3390/urbansci7020055
Authors: Roberto Suson Donna Marie Rivero Alma Arnejo Nadine May Atibing Joerabell Lourdes Aro Angelo Burdeos Kafferine Yamagishi Lanndon Ocampo
The impact of service disruptions to critical utility services due to natural disasters is evident during delays in emergency responses and humanitarian relief, especially for urban populations with highly interdependent infrastructures. Aside from health and social impacts, failing to address these disruptions would inevitably lead to customer dissatisfaction and switching loyalty, adversely affecting service providers’ profitability. Thus, providers must effectively respond to this service failure resulting from disruptions to retain the loyalty of their existing customers. To this end, a theoretical model to explain customer loyalty to internet service providers amidst a disaster-induced disruption through integrating customer loyalty, customer satisfaction, service quality, service innovation, service recovery, perceived value, and brand image is proposed in this work. This study uses the case of a massive disruption caused by Typhoon Odette (Rai) in central Philippine urban districts to empirically test the efficacy of the proposed structural model. A total of 584 responses were utilized in the partial least squares structural equation modeling (PLS-SEM) to derive significant relationships between the constructs. The findings suggest that customer satisfaction strongly predicts customer loyalty during a disaster. Furthermore, efforts towards service recovery do not translate to customer loyalty, but negatively influence customer satisfaction. Moreover, service innovation significantly affects customer satisfaction but negatively influences customer loyalty. Additionally, perceived value does not support customer loyalty but positively affects customer satisfaction. Lastly, brand image and service quality influence both customer satisfaction and loyalty. These findings offer managerial insights for informing the design of a reliable service recovery system, efficient project management planning, practical service innovation, and comprehensive service design. The future research directions are discussed.
]]>Urban Science doi: 10.3390/urbansci7020054
Authors: Keshav Bhattarai Ambika P. Adhikari
This paper responds to the research question, “can urban farming in Nepal help create sustainable cities?” Especially after the COVID-19 pandemic, urban residents have begun to realize that food transported from long distances is not always reliable. Urban farming can help produce fresh food locally and help urban residents become self-reliant by engaging in healthy eating habits and practicing sustainable agricultural techniques in food-desert areas, while creating a positive impact on the environment through regenerative agricultural methods. In doing so, urban farms can help the growers save on food expenditures and even earn some additional income, while also improving air quality and minimizing the effects of urban heat islands. This practice also helps reduce greenhouse gases through plant carbon use efficiency (CUE), as vegetation carbon dynamics (VCD) can be adjusted while supporting the circular economy. As urban lands command higher prices than agricultural land, urban farming usually happens on residential yards, roofs, balconies, community gardens, and dedicated areas in public parks. Rainwater harvesting and redirecting can help irrigate urban farms, which can be part of rain gardens. The national census of 2021 identified that 66% of Nepal’s population lives in urban areas. However, the World Bank (2018) showed that only 21 of Nepal’s population was projected to live in urban areas in 2021. It is not debatable that the urbanization process in Nepal is on the rise. Thus, urban agriculture can play an important role in supplementing residents’ food needs. Many cities in Nepal have already successfully adapted to urban farming wherein residents grow food on their building sites, balconies, and rooftop, often growing plants in pots, vases, and other types of containers. The UN-Habitat, with the support of the European Union and local agencies, published a rooftop farming training manual (2014), showing the feasibility of urban farming in Nepal. This paper discusses how public-private partnership (PPP) can promote urban agriculture and make the process more effective and attractive to urban-farming households. It also analyzes how a PPP approach also facilitates the use of better technology, advisory support, and use of research extension activities. This paper draws on a literature review, uses remote-sensing imagery data and data from National Census Nepal 2021, and the authors’ professional experiences related to best practices in the areas to analyze the benefits and challenges related to urban farming both in Nepal and Arizona, USA. The paper provides recommendations for Nepali cities to maximize the benefit provided by urban farming. It is expected to be useful to Nepali policymakers, government agencies, and nonprofit organizations which promote sustainability, and organic farming with a sustainable supply chain.
]]>Urban Science doi: 10.3390/urbansci7020053
Authors: Simone Perna Zainab Ali AL-Qallaf Qaisar Mahmood
Modern urban societies generate tremendous amounts of hazardous wastes, including toxic organics and metals. Toxic metals harm plants and pose a risk to human health; examples of them are copper (Cu), zinc (Zn), palladium (Pb), and cadmium (Cd). Wetland plants are excellent for the ecological restoration of toxic metal-affected environments. Phragmites australis (common reed) belongs to the family Poaceae and is a broadly distributed wetland grass that is native to Bahrain, Europe, and America. P. australis shows a high content of chlorophyll. This study aimed to assess percentages of water, chlorophyll, and toxic metal content using acetone extraction; the calculation of the concentrations was performed according to the equations proposed by Lichtenthaler and the percentage of water content was calculated. After the metal exposure, the reed plants were digested, and their total mineral analysis was accomplished by atomic absorption spectroscopy; statistical analysis was conducted by Statistical Package for the Social Sciences (SPSS) version 21. The results revealed that the immature stage showed the highest chlorophyll a (mean 1641.5 (µg/g)) carotenoids (mean 359.75 (µg/g)) and total chlorophyll (mean 2183.93 (µg/g)), and the mature flowering stem had the highest chlorophyll b (mean 676.45 (µg/g)). The mature flowering stem stage showed the highest Pb (mg/L) and Cd (mg/L) values; on the other hand, Cu was the highest in the fully elongated non-flowering stage (0.108 mg/L), and the highest Zn content was found in the immature stage (mean 2.083). Owing to its growth in contaminated environments, P. australis can be considered a potential source of phytonutrients; higher concentrations were mostly available in the immature and mature flowering stages, with a favorable immature stage. The use of such marginal wetland plants may be very useful in reducing the pollution burden of urban built environments. These plants offer a green and sustainable solution for the disposal of waste from urban areas. Hence, further planning and execution of such a green solution are pivotal for creating environmental sustainability.
]]>Urban Science doi: 10.3390/urbansci7020052
Authors: Bintang Noor Prabowo Alenka Temeljotov Salaj Jardar Lohne
Whether public sectors or private institutions, in-house or outsourced, building-level or urban-scale, the critical role of facility management (FM) is to support the core business activities of an organization in accomplishing its objectives. Through the services it manages and provides, FM impacts people’s health, well-being, and quality of life. While there is no difficulty in defining a corporation, organization, or institution’s core business, defining the core business of a city as an institution is not widely discussed in the urban-scale facility management literature. By using a narrative research approach from the available literature, this study seeks to shed light on potential justifications for a city’s “core business” and its possible support services. The context of the World Heritage site is used to provide a sharper perspective on the possible urban-scale support services customized for urban heritage areas. This study suggests that a city’s primary objective is to maintain and possibly attract new “desirable” citizens through the provision of excellent services, a quality-built environment, a sense of well-being, health, safety and security, and economic growth. Consequently, the integration of urban-scale support services must be aligned with the purpose of the city, or the World Heritage site, to be specific.
]]>Urban Science doi: 10.3390/urbansci7020051
Authors: Huong-Thi Bui Jihye Park Eunyoung Lee Moonsun Jeong Bong-Ju Park
Particulate matter (PM) is the most dangerous air pollutant that adversely affects health. Increasing PM in urban areas is a big problem that must be solved. This study analyzed the amount of PM that accumulated on plant leaves, as well as the leaf traits that contribute to PM accumulation, to determine the plant’s ability to accumulate PM and the impact of PM on the plants. Scanning electron microscopy (SEM) and energy dispersive X-ray (EDX) analysis were used to quantitatively assess metal concentrations in the particles that had accumulated on the leaf samples. Eight common plant species that grow on the roadside were used to analyze leaf traits using leaf samples. Specific leaf areas (SLA), leaf extract pH (pH), relative leaf water content (RWC), chlorophyll (Chl), and carotenoids were analyzed. PM accumulation and leaf traits varied among plant species, and Parthenocissus tricuspidata showed the highest PM accumulation on its leaf surface. The leaf’s elemental composition included C, O, Ca, K, Mg, S, P, Al, Si, Na, Cl, and Fe. Among these elements, Ca, K, and Cl made up a relatively large percentage. Fe was only detected in the leaves of Pachysandra terminalis and P. tricuspidata, while C and O were excluded as they are not relevant in determining PM metal content. Plants not only accumulate PM but also heavy metals from the atmosphere. This study found that plants with highly effective PM accumulation, such as P. tricuspidate, should be considered for optimizing the benefits of plants in improving air quality.
]]>Urban Science doi: 10.3390/urbansci7020050
Authors: Jota Samper Weichun Liao
This article challenges the narrow definition of informal settlements as solely lacking a formal framework, which overlooks the dynamic city-making and urban design processes within these areas. Communities’ self-building processes and areas’ constant growth are indeed informal settlements’ most salient morphological features. The study builds upon the informal development stages (IDS) framework and explores how it applies globally. The research follows a sample of fifty informal settlements with a high change coefficient from the Atlas of Informality (AoI) across five world regions to explore how change and urban densification across IDS can be mapped in such areas using human visual interpretation of Earth observation (EO). The research finds evidence of IDS framework fitment across regions, with critical morphological differences. Additionally, the study finds that settlements can pass through all IDS phases faster than anticipated. The study identifies IDS as a guiding principle for urban design, presenting opportunities for policy and action. The study suggests that integrating IDS with predictive morphological tools can create valuable data to refine identification models further. Finally, the article concludes that an IDS approach can anticipate development and integrate into an urban design evolutionary process that adapts to the deprived areas’ current and future needs.
]]>Urban Science doi: 10.3390/urbansci7020049
Authors: Maren Wesselow
Social capital is the basis of community-based action and constitutes an important resource for the poor in urban areas. However, social class, age, ethnicity and gender play an important role in shaping social capital outcomes. This article provides a literature-based framework for the qualitative analysis of the differences in social capital between social groups. This study defines and distinguishes social capital functions and resources and highlights the importance of taking negative effects of social capital and social capital needs into account. To test the framework, the social capital portfolios of two exemplary social groups, namely young people and ethnic minorities in urban areas, are presented. The analysis shows that the social capital resources and functions of the different groups as well as the specific needs vary in quality. The study provides a conceptual enhancement to the concept of social capital and recommends that strategies aiming at improving social capital must acknowledge the differences in social capital according to specific groups and environments.
]]>Urban Science doi: 10.3390/urbansci7020048
Authors: Rahul Vardhan Bhatnagar Sewa Ram
The accessibility of railway stations plays a crucial role in assessing service quality, predicting travel patterns, and developing infrastructure in the surrounding areas. This paper proposes a railway station accessibility index (RsAI) (external) that incorporates various parameters, including network performance, into a weighted measure. We reviewed different methods for measuring accessibility levels for transit systems to identify the most suitable models for this study. The primary objective of this paper is to classify railway stations into different hierarchies based on their accessibility levels and to develop an external accessibility index to measure their performance. With increasing urbanization and congestion, accessing railway stations has become more challenging, impacting railway efficiency and leading to modal shifts to other transportation systems. This paper not only identifies critical parameters but also emphasizes the need to measure and improve last-mile network performance to enhance station accessibility, thereby benefiting both passengers and the railway industry.
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