Search Results (2,105)

Advancing urban scholarship and addressing pressing challenges such as gentrification, housing affordability, and urban sprawl require robust predictive models. In urban sciences, the performance of these models depends heavily on hyperparameter tuning, yet systematic evaluations of tuning approaches remain limited. This study compares two traditional hyperparameter tuning methods, Random Search and Grid Search, with Optuna, a more recent and advanced optimization framework, using housing transaction data as an illustrative case. Our findings show that Optuna substantially outperforms the other methods, running 6.77 to 108.92 times faster while consistently achieving lower error values across multiple evaluation metrics. By demonstrating both efficiency and accuracy gains, this research underscores the potential of advanced tuning strategies to accelerate urban analytics and provide more reliable evidence for policy-making. Full article

This paper explores the complexities of measuring impact from placemaking in the context of public and community housing (sometimes known as social or subsidised housing) in Aotearoa New Zealand. Placemaking refers to a range of practices and interventions—including the provision or facilitation of access to community infrastructure—that seek to cultivate a positive sense of place through everyday experiences, spaces, relationships, and rituals. Drawing on interviews with four community housing providers (CHPs), analysis of their documentation, and tenant survey and interview data from two of those CHPs, this research examines providers’ change theories about placemaking in relation to tenants’ experiences of safety, belonging and connectedness, including access to local amenities, ease of getting around, and a sense of neighbourhood and community affiliation. Based on the importance of these variables to wellbeing outcomes, the study highlights the potential of placemaking to support tenant wellbeing, while also recognising that providers must navigate trade-offs and co-benefits, limited resources, and varying levels of tenant engagement. While placemaking can help to foster feelings of connection, belonging and safety, its impact depends on providers’ capacity to initiate and sustain such efforts amidst competing demands and constraints. The study offers indicative findings and recommendations for future research. Although the impacts of placemaking and community infrastructure provision are difficult to quantify, research findings are synthesised into a prototype framework to support housing providers in their decision-making and housing development processes. The framework, which should be adapted and evaluated in situ, potentially also informs other actors in the built environment—including architects, landscape architects, urban designers, planners, developers and government agencies. In Aotearoa New Zealand, where housing provision occurs within a colonial context, government agencies have obligations under Te Tiriti o Waitangi to actively protect Māori rights and to work in partnership with Māori in housing policy and delivery. This underscores the importance of placemaking practices and interventions that are culturally and contextually responsive. Full article

The construction industry faces persistent challenges, including low productivity, high waste generation, and resistance to technological innovation. Off-site modular construction, supported by Building Information Modeling (BIM), emerges as a promising strategy to address these issues and advance sustainability goals. This study aims to evaluate the practical impacts of industrialized off-site construction in the Brazilian context, focusing on cost, execution time, structural weight, and architectural–logistical constraints. The novelty lies in applying the methodology to a high standard, mixed-use multifamily building, an atypical scenario for modular construction in Brazil, and employing a MultiCriteria Decision Analysis (MCDA) to integrate results. A detailed case study is developed comparing conventional and off-site construction approaches using BIM-assisted analyses for weight reduction, cost estimates, and schedule optimization. The results show an 89% reduction in structural weight, a 6% decrease in overall costs, and a 40% reduction in project duration when adopting fully off-site solutions. The integration of results was performed through the Weighted Scoring Method (WSM), a form of MCDA chosen for its transparency and adaptability to case studies. While this study defined weights and scores, the framework allows the future incorporation of stakeholder input. Challenges identified include the need for early design integration, transport limitations, and site-specific constraints. By quantifying benefits and limitations, this study contributes to expanding the understanding of off-site modular adaptability of construction projects beyond low-cost housing, demonstrating its potential for diverse projects and advancing its implementation in emerging markets. Beyond technical and economic outcomes, the study also frames off-site modular construction within the three pillars of sustainability. Environmentally, it reduces structural weight, resource consumption, and on-site waste; economically, it improves cost efficiency and project delivery times; and socially, it offers potential benefits such as safer working conditions, reduced urban disruption, and faster provision of community-oriented buildings. These dimensions highlight its broader contribution to sustainable development in Brazil. Full article

The Brazilian Atlantic Forest is currently reduced to a few, small fragments surrounded by anthropic landscapes. Urban forest remnants play an important role in housing biodiversity in urbanized areas and enabling species dispersion between larger natural areas. Describing and monitoring the biodiversity in these anthropized environments is a useful tool for urban ecology and species conservation. By compiling long-term data, this study proposes a species list of tropical diurnal butterflies for an Atlantic Forest remnant in Southeastern Brazil and describes the temporal diversity patterns of the community. Inventories were carried out from the 1970s to 2000 to record butterfly incidence data in a 250 ha fragment of seasonal, semideciduous Atlantic Forest, resulting in a species list of 706 species presented here for the first time for the studied area. From 1998 to 2000, weekly standardized observations enabled inferences on temporal trends in butterfly diversity. Total species richness peaked in the climatic transitions, and a cycle of 52 weeks was reported for beta diversity. Butterfly families lack synchronized temporal fluctuations. Nymphalidae and specifically the fruit-feeding nymphalids were considered good surrogates for short-term studies and monitoring community changes. Full article

Architectural and cultural heritage play a key role in the sustainability of cities and their historic centres. A significant part of this heritage consists of residential buildings and rows of townhouses that were constructed in accordance with local traditions. These buildings line the streets and squares of cities and historic centres. This study explores the significance of this unique, traditional, uniform development in term of its historical and social-cultural value and its role in identifying the city. Using examples of cities where residential buildings with specific characteristics have been preserved, the study analyses their value in terms of cultural heritage and sustainable development, as well as various revitalisation models that consider local traditions and needs. The impact of multi-tracking and interdisciplinarity on revitalisation outcomes is also considered, with the action models in the selected centres analysed in terms of their strengths and weaknesses. In addition to tangible cultural heritage, the study also considers intangible heritage and its interrelationships. The research revealed the high value of historic residential architecture, which, together with the urban layout, forms an important part of our architectural cultural heritage. It also drew attention to the fact that this aspect of architectural heritage is often neglected. The studies also demonstrated the important role of local authorities, conservation organisations and urban communities, as well as the necessity of well-planned, multi-track, interdisciplinary revitalisation measures. The research enabled the formulation of some general principles to be taken into account in the revitalisation process. However, it was found that each city or town has different building traditions and a different degree of historic architectural preservation, as well as different opportunities. Therefore, it is not possible to create a universal, ready-made programme for historic preservation. Nevertheless, it is important to promote good models, particularly in residential architecture, which is often undervalued and neglected despite its great potential. Full article

Human perception of urban streetscapes plays a crucial role in shaping human-centered urban planning and policymaking. Traditional studies on safety perception often rely on labor-intensive field surveys with limited spatial coverage, hindering large-scale assessments. To address this gap, this study constructs a street safety perception dataset for Wuhan, classifying street scenes into three perception levels. A convolutional neural network model based on transfer learning is developed, achieving a classification accuracy of 78.3%. By integrating image-based prediction with spatial clustering and correlation analysis, this study demonstrates that safety perception displays a distinctly clustered and uneven spatial distribution, primarily concentrated along major arterial roads and rail transit corridors by high safety levels. Correlation analysis indicates that higher safety perception is moderately associated with greater road grade, increased road width, and lower functional level while showing a weak negative correlation with housing prices. By presenting a framework that integrates transfer learning and geospatial analysis to connect urban street imagery with human perception, this study advances the assessment of spatialized safety perception and offers practical insights for urban planners and policymakers striving to create safer, more inclusive, and sustainable urban environments. Full article

Context: It has been claimed that recently, in England, the places with the greatest amount of housing built were the places that least needed them. This is an accusation that has echoes in a number of countries around the globe. The lack of construction leads to greater unaffordability and a lower level of economic activity than could have been achieved if labour, particularly those with high human capital, was not so constrained as to where they could afford to live. The recent National Planning Policy Framework for England imposes mandatory targets on housing planning authorities. As such, the following question is raised: will the targets result in additional residential homes being located in places of greater need than the prevailing pattern? Research Questions: The paper sets out to consider the spatial mismatch between housing additions and national benefit in terms of unaffordability and productivity. Specifically, do the concentrations of high and/or low rates of the prevailing rates of additional dwellings and the target rates of adding dwellings correspond with the clusters of high and/or low unaffordability and productivity? A further question considered is: does the spatial distribution of additional dwellings match the clusters of population growth? Method: The values of the variables are transformed at the first stage into Anselin’s LISA categories. LISA maps can reveal unusually high spatial concentrations of values, or clusters. The second stage entails comparing sets of the transformed data for agreement of the classifications. An agreement coefficient is provided by Fleiss’s kappa. Data: The data used is of additional dwellings, the total number of dwellings, population estimates, gross value added per hour worked (productivity data), and house price–earnings ratios. The period of study covers the eight years prior to 2020 and the two years after, omitting 2020 itself due to the unusual impact on economic activity. All the data is at local authority district level. Findings: The hot and cold spots of additional dwellings do not correspond those of house price–earnings ratios or productivity. However, population growth hot spots show moderate agreement with those of where additional dwellings are concentrated. This is in line with findings from elsewhere, suggesting that population follows housing supply. Concentrations of districts with relatively high targets per unit of existing stocks are found correspond (agree strongly) with clusters of house price–earnings ratios. Links between productivity and housing are much weaker. Conclusions: The strong link between targets and affordability suggests that if the targets are met, the claim that the places that build the most housing are the places that least need them can be challenged. That said, house-price–earnings ratios present a view of unaffordability that will favour greater building in the countryside rather than cities outside of London, which runs against concentrating new housing in urban areas consistent with fostering clusters/agglomerations implicit in the new modern industrial strategy. Full article

Cities play a vital role in creating wealth and ensuring the well-being of all their inhabitants. However, major international efforts aimed at fostering fairer, healthier, and a more sustainable world have been compromised by the widespread effects of the COVID-19 pandemic. The objective of this research is to determine key priorities for addressing the pandemic’s impact in both the present and in a future urban context. Therefore, this study applies the Delphi method to a panel of 24 experts in order to identify the most and least important targets from Sustainable Development Goal 11 for post-COVID-19 sustainable urban planning in Cuenca, Ecuador. Out of the twelve targets, only five were prioritized, including “Target 11.1 Affordable housing”, Target 11.3 Sustainable Urbanization”, “Target 11.9 Implement policies for inclusion and property rights”, and “Target 6.3 Improve water quality”. These findings can serve as a foundation for future public policies and strategies for sustainable urban planning of the city. Full article

This study examines the determinants of apartment prices in 17 post-WWII multi-family housing estates in Ljubljana, Slovenia, constructed between 1947 and 1986. Using 1973 verified transactions from 2020 to 2025, the analysis evaluates spatial, structural, environmental, and accessibility-related variables through a combination of statistical and machine learning techniques. A hedonic price model based on ordinary least squares (OLS) demonstrates modest explanatory power (R² = 0.171), identifying local market reference prices, floor level, noise exposure, and window renovation as significant predictors. In contrast, seven machine learning models—Random Forest, XGBoost, and Gradient Boosting Machines (GBMs), including optimized versions—achieve notably higher predictive accuracy. The best-performing model, GBM with Randomized Search CV, explains 59.6% of price variability (R² = 0.5957), with minimal prediction error (MAE = 0.03). Feature importance analysis confirms the dominant role of localized price references and structural indicators, while environmental and accessibility variables contribute variably. In addition, three clustering methods (Ward, k-means, and HDBSCAN) are employed to identify typological groups of neighborhoods. While Ward’s and k-means methods consistently identify four robust clusters, HDBSCAN captures greater internal heterogeneity, suggesting five distinct groups and detecting outlier neighborhoods. The integrated approach enhances understanding of spatial housing price dynamics and supports data-driven valuation, urban policy, and regeneration strategies for post-WWII housing estates in Central and Eastern European contexts. Full article

Since there are no available vaccines against some arboviruses, vector control is the most effective way to reduce their incidence. In this context, mechanical control is one of the most cost-effective ways to suppress Aedes populations, but it requires knowledge about vector breeding ecology in varied landscapes and climates. Here we investigated the infestation levels and container types used as larval habitats by Aedes aegypti and Aedes albopictus in an urban gradient of Vassouras, a countryside city in Rio de Janeiro. Larval surveys were conducted bimonthly from January 2017 to December 2018. Infestation was measured through the House (HI) and Breteau indexes (BI). Container types found with Aedes spp. immatures were correlated with temperature and rainfall and were compared between urbanization zones. The distribution of positive containers was mapped. The HI for Ae. aegypti increased during rainy seasons, but the HI and BI were always <1% for both mosquito vectors. More reservoirs were found harboring Ae. albopictus than Ae. aegypti, but in general their relative distribution into types was similar between species. On the other hand, the amount and distribution of containers into types varied across urbanization zones. Finally, the spatial distribution of larval habitats was similar between species, as well as often constant between seasons and study years. Full article

With the ongoing advancement of urbanization in China, a disparity has arisen between population demands and the allocation of community resources, resulting in a persistent increase in residential vacancy rates. The integration of service facilities into vacant residential spaces has enabled functional housing transformations. This study analyzes three typical types of communities in Xi’an to examine these transformations, identifying distinct types and patterns across five scenarios, which include social, health, leisure, cultural, and educational contexts. Through structured questionnaires and in-depth interviews, we collected data on residents’ life satisfaction and NIMBY (not in my backyard) perceptions. Applying a NIMBY index algorithm, we quantified characteristics and identified root causes. The results demonstrated that leisure scenarios most significantly affected satisfaction, while social scenarios showed the highest NIMBY index. Using an ordered logistic regression model, we determined key NIMBY factors influencing satisfaction across scenarios, revealing their differential impact mechanisms. Drawing on the findings, we investigated coordination mechanisms between the transformations of residential spaces and the needs of residents. Based on this analysis, the research objective was to explore how vacant housing can integrate service facilities while mitigating NIMBY effects and meeting resident needs. Proposed strategies include hierarchical facility allocation, NIMBY mitigation measures, and spatial planning optimization, ultimately adapting to diverse lifestyles and housing demands. Full article

Sustainable housing is increasingly recognized as a crucial social determinant of health, intersecting environmental sustainability with affordability, safety, and inclusivity to shape population health and equity. This paper reviews the existing literature and presents that integrating sustainable housing into public health frameworks can mitigate health risks, reduce inequities, and promote resilient urban futures. This review paper reframes sustainable housing through a holistic lens, emphasizing its potential to improve health through inclusive design, energy efficiency, green infrastructure, and affordability. Theoretically grounded in the Social Determinants of Health framework, Ecological Systems Theory, Environmental Health Theory, and Life Course Perspective, sustainable housing is shown to influence health outcomes across multiple levels and life stages. Empirical studies further validate these connections, demonstrating improved physical and mental health, particularly among vulnerable populations, when sustainable housing features are implemented. While these benefits span multiple health domains, persistent implementation challenges related to equity, financing, and policy coherence can limit their reach. Equity-centered approaches and cross-sector collaboration are essential to ensure the health benefits of sustainable housing are distributed fairly. Climate-resilient design strategies further underscore the role of housing in protecting communities against growing environmental threats. Furthermore, research priorities are required to strengthen the evidence base, including studies utilizing longitudinal study designs and participatory approaches. The findings of this review call for policy innovations that embed sustainable housing within broader public health and urban development agendas. Full article

Obesity has emerged as one of the most significant public health challenges of the 21st century, with its prevalence increasing at an alarming rate globally. While individual factors such as diet and physical inactivity are well-known contributors, the built environment, particularly housing, plays a critical yet understudied role in shaping obesity-related behaviors. This study examines the multilayered relationship between housing and obesity, focusing on built and neighborhood environment, affordability, and the social environment. Poor housing quality, such as overcrowding and inadequate ventilation, can potentially lead to chronic stress and sedentary behaviors, while housing design influences physical activity through characteristics such as design features and outdoor spaces. Housing location affects access to amenities such as parks and healthy food options, with disparities in access contributing to obesity in low-income areas. Similarly, neighborhood walkability, influenced by infrastructure and land use, encourages active transportation and recreation. Housing affordability also impacts dietary choices and access to recreational facilities, particularly for low-income families. Moreover, the social environment within housing communities can foster or hinder healthy behaviors through social networks and community engagement. This study emphasizes the need for health-conscious urban planning and policies that address these housing-related factors to combat obesity and promote healthier lifestyles. By integrating these Obesity–Housing Nexus, policymakers can create environments that support physical activity, healthy eating, as well as overall health and well-being. Full article

Air pollution has a significant impact on the housing market, both in terms of property prices and buyer preferences, as well as urban development. Below, we present the main aspects of this impact. These may include a decline in property values in polluted areas, a change in buyer preferences (more buyers are taking environmental factors into account when choosing a home, including air quality—both outdoor and indoor—which translates into increased demand in ‘green’ neighborhoods), the development of energy-efficient and environmentally friendly buildings, the impact on spatial planning and urban policy, health effects, and the rental market. The study showed that air pollution has a significant negative impact on housing prices in Warsaw, particularly in relation to two pollutants: nitrogen dioxide (NO₂) and particulate matter (PM_2.5). As their concentrations decreased, housing prices increased, with the highest price sensitivity observed for smaller flats on the secondary market. The analysis used GRM and OLS statistical models, which confirmed the significance of the relationship between the concentrations of these pollutants and housing prices (per m²). NO₂ had a significant impact on prices in the primary market and on the largest flats in the secondary market, while PM_2.5 affected prices of smaller flats in the secondary market. No significant impact of other pollutants, meteorological factors, or their interaction on housing prices was detected. The study also showed that the primary and secondary markets differ significantly, requiring separate analyses. Attempts to combine them do not allow for the precise identification of key price-determining factors. Full article

As China’s urbanization deepens, the spatial structure of residential areas and land use patterns has undergone profound transformations, with the differentiation of housing prices emerging as a key indicator of urban spatial dynamics and socioeconomic stratification. This study examines the spatial and temporal evolution of residential housing prices in Qingdao’s main urban area over a 20-year period, using data from three representative years (2003, 2013, and 2023) to capture key stages of change. It employs Local Indicators of Spatial Association (LISA) spatial and temporal path and leap analyses, as well as Geographically and Temporally Weighted Regression (GTWR) modeling. The results show that Qingdao’s housing price patterns exhibit distinct spatiotemporal heterogeneity, characterized by multi-level transitions, leapfrog dynamics and strong spatial dependence. The urban center and coastal zones demonstrate positive synergistic growth, while some inland and peripheral areas show negative spatial coupling. Evident is the spatial restructuring from a monocentric to a polycentric pattern, driven by shifts in industrial layout, policy incentives, and transportation infrastructure. Key driving factors, such as community attributes, locational conditions, and amenity support, show differentiated impacts across regions and over time. Business agglomeration and educational resources are primary positive drivers in central districts, whereas natural environments and commercial density play a more complex role in peripheral areas. These findings provide empirical evidence to inform our understanding of housing market dynamics and offer insights into urban planning and the design of equitable policies in transitional urban systems. Full article