Resilience Levels of Natural–Social Security in Urbanization: A Case Study of Kunming, China
Publication: Journal of Urban Planning and Development
Volume 150, Issue 3
Abstract
In the context of the current global climate change, rapid urbanization, and sustained population growth, frequent natural and social disasters pose an increasingly serious threat to human life and property. The imperative to elevate the level of urban safety resilience has become a focal point in global urban disaster prevention and mitigation efforts. This study aims to examine the disaster resilience level in the central urban area of Kunming, Yunnan–Guizhou Plateau, southwest China. Our focus lies on three representative dimensions: urban ecology, transportation, and flooding, which denote the natural, social, and combined natural–social safety resilience capacities of the study area. We identified indicator factors influencing urban safety resilience, categorizing them into resistance, adaptability, and resilience components. A disaster resilience evaluation system was constructed and quantitatively expressed in a geographic information system. By comparing the levels of urban ecological, transportation, and flood safety resilience in Kunming’s central urban area, we unveil safety risks and associated problems related to urbanization in the process, along with their interconnections. Our findings indicate that urban flood resilience is generally higher in mature urban areas and new districts than in urban-rural and suburban areas. Additionally, improvements in urban ecological and transportation resilience contribute to enhanced urban flood resilience. Social factors significantly impact the level of urban safety resilience. This study offers valuable insights for constructing safe and resilient cities in mountainous regions, supporting decision-making in urban disaster planning research.
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Data Availability Statement
Some or all data, models, or codes generated or used during the study are available from the corresponding author upon request.
Acknowledgments
This research was supported by several grants: CRSRI Open Research Program (Grant No. CKWV20221029/KY), National Natural Science Foundation of China (Grant No. 72361035), Yunnan Province Industry Education Integration Postgraduate Joint Training Base Project (2022), Science and Technology Plan Project of Yunnan Provincial Department of Housing and Urban-Rural Development (Grant No. K00000135), and Yunnan University Graduate Ideological and Political Demonstration Course Project (Grant No. KCSZ202301). Finally, the authors express their gratitude to Kunming Surveying and Mapping Management Center and Guangzhou South Surveying & Mapping Instrument Co., Ltd. (SOUTH) for providing data and technical support in the process of writing this paper.
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Published In
Journal of Urban Planning and Development
Volume 150 • Issue 3 • September 2024
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© 2024 American Society of Civil Engineers.
History
Received: Feb 4, 2023
Accepted: Apr 3, 2024
Published online: Jun 27, 2024
Published in print: Sep 1, 2024
Discussion open until: Nov 27, 2024
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