Spatiotemporal Evolutionary Features and Disorder Factor Diagnosis of Urban Resilience
Publication: Journal of Urban Planning and Development
Volume 150, Issue 4
Abstract
A resilient city is a key goal of the country’s high-quality development and could effectively reduce city disaster losses. However, due to the significant spatial differences in China’s urban development, research on resilience has mainly focused on developed regions in Eastern China. Therefore, this paper takes Chongqing, a typical city in Western China, as the study area and evaluates the level of urban resilience from four dimensions: (1) economic; (2) social; (3) ecological; and (3) technological. The entropy weight method and exploratory spatial data analysis (ESDA) are applied to identify its spatial and temporal evolution characteristics and regional heterogeneity, and the obstacle degree model is applied to diagnose its main obstacle factors to improve the city’s resilience in a reverse direction. The results show that in the time dimension, Chongqing’s urban resilience level shows yearly growth and economic resilience is the main factor in the improvement of the urban resilience level. In the spatial dimension, the western part of the city is higher than the eastern part, which shows the nonequilibrium phenomenon of high-value agglomeration and low-value dispersion, which has a significant spatial spillover effect. For the obstacle factors, the degree of obstruction at the guideline level is in the order of social > economic > technological > ecological, and the public library collection and the balance of RMB deposits are the main factors that restrict the resilience of cities. Performing the resilience evaluation for typical cities could identify the weak links in resilience in different dimensions and provide a theoretical basis for the governmental decision-making and resource allocation for cities that are under sudden risk disasters.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was funded by the Social Science Foundation Project of Shaanxi Province Study on ways to improve the resilience governance capacity of urban communities in Shaanxi Province under normal epidemic prevention and control (2022R012).
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Published In
Journal of Urban Planning and Development
Volume 150 • Issue 4 • December 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Aug 23, 2023
Accepted: Mar 25, 2024
Published online: Jul 17, 2024
Published in print: Dec 1, 2024
Discussion open until: Dec 17, 2024
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