Spatial-Temporal Assessment of Urban Resilience to Disasters: A Case Study in Chengdu, China

Yang Wei, Tetsuo Kidokoro, Fumihiko Seta and Bo Shu ()
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Yang Wei: School of Design, Southwest Jiaotong University, Chengdu 611756, China
Tetsuo Kidokoro: Center for Sustainable Development Studies, Toyo University, Tokyo 112-8606, Japan
Fumihiko Seta: Department of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Bo Shu: School of Design, Southwest Jiaotong University, Chengdu 611756, China

Land, 2024, vol. 13, issue 4, 1-24

Abstract: Urban areas with an imbalanced vulnerability to disasters have garnered attention. Building an urban resilience index helps to develop a progressively favored instrument for tracking progress toward disaster-resilient cities. However, there remains a lack of empirical studies on measuring urban resilience, with limited focus on the spatial-temporal characteristics of urban resilience to disasters, particularly relevant in developing nations like China. Thus, a refined urban resilience index to disasters based on the subcomponents of infrastructure, environment, socio-economy, and institution is suggested in this study. This index-based assessment framework is applied and validated to measure the spatial-temporal resilience using a real-world case study in Chengdu, China. The main findings of this study indicate that: (1) the overall urban resilience of Chengdu has been growing toward better conditions, with infrastructural resilience accounting for the majority of this growth. (2) The distribution of urban resilience exhibits a regional disparity and a spatially polarized pattern. (3) The agglomeration characteristics of urban resilience are significant. (4) There is a clear regional mismatch in the distribution of urban resilience to disaster risk. The validated model offers a comprehensive and replicable approach for urban resilience assessment and planning, especially for disaster-frequent regions.

Keywords: urban resilience; disasters; resilience assessment; urban planning; Chengdu city (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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