Differences in Resilience of Urban Communities under Disaster Disturbance: Case Study of Kunming, China

In the context of global climate change and rapid urban expansion, enhancing community resilience has become a key concern in urban disaster risk reduction. However, the contributing factors and their interaction mechanisms remain insufficiently understood. This study proposes the EISFS-BRIC framework, incorporating economic, institutional, social, facility, and spatial dimensions, to assess community resilience. Applying this framework to 15 communities in Jinbi Street, Kunming, China, resilience levels were quantified using GIS methods. A coupling coordination degree model evaluated the mutual influences among dimensions, while an obstacle degree model diagnosed key barriers. The results indicate that community resilience values range from 0.29 to 0.47, with modernization not necessarily leading to higher resilience. Public spaces, infrastructure, and building plot ratios were identified as major influencing factors. Moreover, the coordination among subsystems and community organizational structures significantly affects overall resilience. This study provides a scientific basis for disaster risk reduction strategies and resilience enhancement in urban communities.

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Publication Details

Journal
Journal of Urban Planning and Development
Published
2026-03-24
DOI
https://doi.org/10.1061/jupddm.upeng-5740
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
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article

Differences in Resilience of Urban Communities under Disaster Disturbance: Case Study of Kunming, China

Q. Y. Li, Li Zhu, Qisheng Wang, Z. P. Xie et al.
Journal of Urban Planning and Development
Disaster Management and Resilience
article

Differences in Resilience of Urban Communities under Disaster Disturbance: Case Study of Kunming, China

Q. Y. Li, Li Zhu, Qisheng Wang, Z. P. Xie, Dingjie Zhou, Yun Liu, Yiqing Duan, Xingfeng Fu, Hongfei Liu, Zheng Zhang
article en

Abstract

In the context of global climate change and rapid urban expansion, enhancing community resilience has become a key concern in urban disaster risk reduction. However, the contributing factors and their interaction mechanisms remain insufficiently understood. This study proposes the EISFS-BRIC framework, incorporating economic, institutional, social, facility, and spatial dimensions, to assess community resilience. Applying this framework to 15 communities in Jinbi Street, Kunming, China, resilience levels were quantified using GIS methods. A coupling coordination degree model evaluated the mutual influences among dimensions, while an obstacle degree model diagnosed key barriers. The results indicate that community resilience values range from 0.29 to 0.47, with modernization not necessarily leading to higher resilience. Public spaces, infrastructure, and building plot ratios were identified as major influencing factors. Moreover, the coordination among subsystems and community organizational structures significantly affects overall resilience. This study provides a scientific basis for disaster risk reduction strategies and resilience enhancement in urban communities.

Journal of Urban Planning and DevelopmentVol. 152(2)
Yunnan University (CN), Coal Industry Jinan Design & Research Institute (China) (CN), Nanjing Surveying and Mapping Research Institute (China) (CN)
Climate action
Openalex Percentile: Top 14%
Disaster Management and Resilience
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