Differences in Resilience of Urban Communities under Disaster Disturbance: Case Study of Kunming, China
Qisheng Wang et al.
What the paper says
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.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.