Spatio-Temporal Analysis of Urban Emergency Response Resilience During Public Health Crises: A Case Study of Wuhan

Jia-Ying Sun, Lang-Yu Zhou, Jun-Yuan Deng, Chao-Yong Zhang () and Hui-Ge Xing ()
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Jia-Ying Sun: Business Department 1, Sinopec Group Tendering Co., Ltd. Wuhan Branch, Wuhan 430081, China
Lang-Yu Zhou: College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Jun-Yuan Deng: School of Science and Engineering, The Chinese University of Hong Kong (CUHK-Shenzhen), Shenzhen 518172, China
Chao-Yong Zhang: School of Civil Engineering and Architecture, Jiaxing Nanhu University, Jiaxing 314000, China
Hui-Ge Xing: College of Architecture and Environment, Sichuan University, Chengdu 610065, China

Sustainability, 2024, vol. 16, issue 20, 1-25

Abstract: In recent years, public health emergencies have severely disrupted city functions and endangered residents’ health and lives, enhancing the emergency response capacity, a crucial aspect of building resilient cities. Based on the Wuhan Statistical Yearbook and local economic and social big data, this study constructed a resilience assessment system that covers resistance, adaptability, and resilience. Evaluate the resilience level of each region and analyze its spatiotemporal characteristics using the entropy weight method, Theil index, and natural breakpoint method. The central area exhibited higher resilience levels, while peripheral areas showed lower resilience, owing to location advantage and developmental disparities. The obstacle degree model revealed that scientific and technological innovation, social rescue capabilities, and population size are the primary weak links in building urban emergency response capacity. Based on these findings, this study aims to provide policy recommendations and improvement measures for multiple stakeholders, guide the construction of resilient cities, enhance the ability to respond to public health crises and recovery speed, and ensure urban functions and residents’ well-being.

Keywords: urban resilience; emergency response capacity; public health emergencies; Wuhan city (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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