A framework for urban resilience measurement and enhancement strategies: A case study in Qingdao, China

被引:15
作者
Ge, Yuanyuan [1 ]
Jia, Wenjuan [2 ]
Zhao, Hui [2 ]
Xiang, Pengcheng [1 ,3 ]
机构
[1] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing 400030, Peoples R China
[2] Qingdao Univ Technol, Sch Management Engn, Qingdao 266525, Peoples R China
[3] Chongqing Univ, Constructi Econ & Management Res Ctr, Chongqing 400030, Peoples R China
关键词
Urban resilience; Comprehensive measurement; Obstruct factor; Enhancement strategies; Qingdao; COMMUNITY RESILIENCE; SMART CITIES; ROTTERDAM;
D O I
10.1016/j.jenvman.2024.122047
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Comprehensive measurement and analysis of urban resilience is essential to ensure sustainable urban development. This paper creates a multilevel urban resilience evaluation index system based on four dimensions of economy, society, ecology, and infrastructure and the three attributes (resistance, recovery, and adaptability), then applies the framework to Qingdao, China. The results suggest that: (1) The overall level of urban resilience in Qingdao showed an upward trend, rising from a relatively high level in 2012 to a high level in 2021. Economic and social resilience maintained a high consistency, developing rapidly, while the development of ecological and infrastructure resilience fluctuated, and infrastructure resilience was slow and lagging. (2) Qingdao's overall resilience is higher than other cities in the same region, but infrastructure resilience is relatively low. Moreover, the coupling coordination degree (CCD) of the resilience of the four subsystems in Qingdao has evolved from near imbalance to good coordination. (3) Infrastructure resilience is the primary obstacle factor in the dimension layer, followed by ecological resilience. Based on the results, corresponding improvement strategies are proposed. A comprehensive multidimensional measurement of the urban resilience of Qingdao can identify the main shortcomings and provide a reference for decision-making and resource allocation in resilient cities.
引用
收藏
页数:19
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