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Sustainable Urban Planning: Complex Risk and Urban Security Resilience

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 3274

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
1. Vice President, Hebei University of Economics and Business, Shijiazhuang, China
2. School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China
Interests: sustainable development; urban resilience; infrastructure system

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Guest Editor
School of Urban Economics and Management, Beijing University of Civil Engineering and Architecture, Beijing, China
Interests: urban governance; nexus modeling; sustainable development; urban resilience

Special Issue Information

Dear Colleagues,

Addressing external risks (e.g., natural disaster, aging infrastructure, public emergency) to ensure urban security is critical step to sustain local development. Different from single risk (e.g., drought) and nexus risk (e.g., water–energy–food nexus), complex risk contains the occurance of multiple risks in a specific location or during the same period, and does not operate in neatly contained categories. For example, interactions between the long-term COVID-19 risk and the sudden earthquake form a complex risk, which requires a new plan to address. These overlaying risks will prohibit the normal operation of urban interconnected infrastructures and strengthen the significant unintended results, leading to the inhibition of local sustainable development. Addressing complex risk and ensuring urban security are basic requirements to promote urban sustainability, but the exploration of complex risk is still in its infancy. The security resilience perspective can be employed as a potential effective approach. Urban security resilience adopts a life-cycle perspective, focusing on the whole process (e.g., before, during, after) of risk management, and highlights the role of self-balance (e.g., redundancy, adaptation, learning) in addressing complex risk, which is regarded as a new perspective on urban sustainable development. Therefore, exploring complex risk from the security resilience perspective requires further endeavours, especially regarding the impact of complex risk on the urban infrastructure system.

Urban systems are critical in sustaining social–economic development using the built infrastructure system. Globally, urban districts occupy less than 4% of the land surface but aggregate the majority of human activities, producing 80% of GDP and significant amounts of waste. External risks (e.g., natural disaster, aging infrastructure, public emergency) threaten the normal operation of urban systems. For example, 27% of the transportation infrastructure is exposed to natural disaster, leading to a loss of 3.1-22 billion USD. In a world of volatility, uncertainty, complexity, and ambiguity, complex risk emerges through the co-occurance of multi-risks. The impacts of overlaying risks cross  boundaries, requiring further research to explore the characteristics and interaction mechanisms of complex risk. The security resilience perspective can be employed as a potential effective approach. Urban security resilience adopts a life-cycle perspective focusing on the whole process (e.g., before, during, after) of risk management, and highlights the role of self-balance (e.g., redundancy, adaptation, learning) in addressing complex risk. This is regarded as a new perspective on urban sustainable development. Therefore, this Special Issue will supplement the risk mapping, modeling, and governance work and provide important knowledge to understand complex risk and urban security resilience.

This Special Issue adopts a security resilience perspective to explore complex risk, focusing on the impact that complex risk has on the urban infrastructure system. Specifically, this Special Issue calls for research related, but not limited, to the following questions: What is complex risk? How does complex risk impact urban infrastructure systems? How does the security resilience of a city address complex risk?

Prof. Dr. Guijun Li
Dr. Daohan Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable urban planning
  • risk prevention and management
  • critical infrastructure system
  • urban resilience
  • coupling mechanism
  • optimal management
  • safety resilience
  • urban risk
  • human behavior

Published Papers (4 papers)

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Research

24 pages, 15240 KiB  
Article
Enhancing Seismic Landslide Susceptibility Analysis for Sustainable Disaster Risk Management through Machine Learning
by Hailang He, Weiwei Wang, Zhengxing Wang, Shu Li and Jianguo Chen
Sustainability 2024, 16(9), 3828; https://doi.org/10.3390/su16093828 (registering DOI) - 02 May 2024
Abstract
The accuracy of Seismic Landslide Susceptibility Maps (SLSMs) is imperative for the prevention of seismic landslide disasters. This study enhances the precision of SLSMs by integrating nine distinct machine learning methodologies with the GeoDetector version 0.0.4 tool to filter both numerical and physical [...] Read more.
The accuracy of Seismic Landslide Susceptibility Maps (SLSMs) is imperative for the prevention of seismic landslide disasters. This study enhances the precision of SLSMs by integrating nine distinct machine learning methodologies with the GeoDetector version 0.0.4 tool to filter both numerical and physical factors contributing to landslide susceptibility. The dataset comprises 2317 landslide instances triggered by the 2013 Minxian Ms = 6.6 earthquake, from which redundant factors were pruned using the Recursive Feature Elimination technique. Subsequent evaluations of the optimized factors, both individually and in combination, were conducted through Frequency Ratio analysis and Factor Interaction assessment. The study juxtaposes the Area Under the Receiver Operating Characteristic Curve (AUC) and the accuracy of nine machine learning models before and after factor optimization. The findings indicate an increase in AUC from a maximum of 0.989 to 0.992 in the Random Forest model, and an 8.37% increase in AUC for the SVM model, signifying a notable enhancement in the stability across all models. The establishment of the SLSM notably elevated the frequency ratio in high-risk zones from 50.40 to 85.14, underscoring the efficacy of combining machine learning and detector optimization techniques in sustainable practices. This research proposes a universal framework aimed at eliminating redundancy and noise in SLSMs and hazard risk assessments, thereby facilitating sustainable geological disaster risk management. Full article
20 pages, 9606 KiB  
Article
Challenges for Sustainable Urban Planning: A Spatiotemporal Analysis of Complex Landslide Risk in a Latin American Megacity
by Germán Vargas-Cuervo, Yolanda Teresa Hernández-Peña and Carlos Alfonso Zafra-Mejía
Sustainability 2024, 16(8), 3133; https://doi.org/10.3390/su16083133 - 09 Apr 2024
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Abstract
This paper analyzes the spatiotemporal evolution of a complex landslide risk scenario in a Latin American megacity, underscoring the key challenges it poses for sustainable urban planning in such cities. This research draws upon multiple studies commissioned by the mayor’s office of the [...] Read more.
This paper analyzes the spatiotemporal evolution of a complex landslide risk scenario in a Latin American megacity, underscoring the key challenges it poses for sustainable urban planning in such cities. This research draws upon multiple studies commissioned by the mayor’s office of the megacity of Bogota, Colombia, and utilizes aerial photographs and satellite imagery from diverse sensor types. The methodology used considered six spatiotemporal analysis scenarios: rural/natural, mining, urban, landslide risk, stabilization and environmental park, and informal reoccupation. The findings reveal a complex interplay between the megacity’s peripheral areas, which face constraints for human settlement, and their potential for construction material exploitation. This complex relationship was further compounded by weaknesses in planning and controlling peripheral occupations, coupled with a burgeoning demand for developable land in a landslide risk context (landslide area: 73 ha). The analysis scenarios highlighted the predominant use of a reactive urban planning approach that addressed events, changes, or problems after they had occurred, rather than proactively anticipating and preventing potential risks at the study site. The detected land-use transformations unveiled different historical moments, culminating in a landslide disaster (804 houses destroyed, 3000 families at risk). This catastrophe necessitated a radical and significant intervention, incurring substantial costs for the megacity administration (USD 26.05 million). This landslide was the largest recorded in the megacity and one of the most extensive in urban areas across Latin America. Full article
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28 pages, 2485 KiB  
Article
Investigating the Influencing Factors of the Purchase Intention of the Continuing Care Retirement Community: A Case Study of Shenzhen
by Shenghan Li, Jun Huang, Chen Lu, Zezhou Wu and Maxwell Fordjour Antwi-Afari
Sustainability 2024, 16(5), 2201; https://doi.org/10.3390/su16052201 - 06 Mar 2024
Viewed by 621
Abstract
China officially entered the aging society in 2000, witnessing a rapid surge in demand for senior care services. In response, the real estate industry introduced the concept of Continuing Care Retirement Communities (CCRCs). The relationship between this model and complex risks in urban [...] Read more.
China officially entered the aging society in 2000, witnessing a rapid surge in demand for senior care services. In response, the real estate industry introduced the concept of Continuing Care Retirement Communities (CCRCs). The relationship between this model and complex risks in urban security resilience encompasses various factors, including filial care, demand for senior care, and urban sustainable development. The strategic layout and planning of CCRC enhance the security resilience of urban operational systems in the face of intricate senior care risks. However, the development and operation of CCRCs have encountered the challenge of sluggish project progress, primarily due to a lack of robust purchase intention. This study investigates the factors influencing the purchase intention of CCRCs in mainland China, using the Theory of Planned Behavior (TPB) as the foundational theoretical model. Additionally, three contextual constructs (economic cost, product performance, and external stimuli) were introduced to form the initial model. Based on the initial model, six factors were identified and nine hypotheses were proposed. A questionnaire survey was conducted to collect data, and Structural Equation Modeling (SEM) analysis was employed to test the proposed hypotheses. The results indicate that consumers’ purchase intention of CCRCs is primarily influenced by product performance and subjective norms, followed by economic cost. At the same time, external stimuli have a significant indirect effect on it. Full article
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50 pages, 6367 KiB  
Article
Research on the Evaluation and Spatial–Temporal Evolution of Safe and Resilient Cities Based on Catastrophe Theory—A Case Study of Ten Regions in Western China
by Yong Xiang, Yonghua Chen, Yangyang Su, Zeyou Chen and Junna Meng
Sustainability 2023, 15(12), 9698; https://doi.org/10.3390/su15129698 - 16 Jun 2023
Viewed by 1109
Abstract
In today’s highly complex world, urban security has become a focus of attention for people in various positions due to its enormous uncertainty. As an essential path towards urban safety, resilient development can effectively provide emergency management capability for cities when they are [...] Read more.
In today’s highly complex world, urban security has become a focus of attention for people in various positions due to its enormous uncertainty. As an essential path towards urban safety, resilient development can effectively provide emergency management capability for cities when they are exposed to unknown risks. In this study, an evaluation-index system for urban-safety resilience was constructed from the perspective of sustainable urban development. The urban-safety-resilience evaluation model was established with the help of catastrophe theory to study and analyze urban-safety resilience. The corresponding spatial–temporal-evolution analysis used the geographic information system (GIS) and Moran index to evaluate the urban-security resilience of 10 regions in western China. Finally, it was concluded that (1) the urban-safety resilience of most regions in western China showed an increasing trend over time in 2017, 2019, and 2021; (2) the urban-safety resilience of Chongqing, Sichuan, and Shaanxi provinces is at a relatively high level compared to the western region overall; and (3) regions such as Ningxia and Gansu are disaster-prone, and urban infrastructure conditions are relatively backward. Therefore, urban planning and governance should be flexibly transformed to explore and apply appropriate urban-safety-resilience models, with sustainable development as the cornerstone. Full article
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