Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China

• Examining the urban flood resilience and obstacle factors in the three major urban three agglomerations of China. • Establishing a comprehensive index system of UFR based on EEISI framework. • System linkages strengthen, yet ER shows greatest disparity within subsystems. • Institutional quality, funding structures, and ecological metrics hinder UFR improvement. • Providing case studies for urban agglomeration flood control and UFR enhancement. Urban flooding has emerged as a structural challenge that hinders the resilient transformation of cities in the context of intensifying global climate change and frequent extreme weather events. However, comprehensive and systematic comparative analyses at the urban agglomeration scale are relatively scarce. To address this gap, this study developed a multidimensional evaluation framework (EEISI) that integrates economic, ecological, infrastructural, social, and institutional resilience. Based on the CRITIC-TOPSIS weighted evaluation model and the Coupling Coordination Degree (CCD) model, this study measures urban flood resilience and the interactions among resilience subsystems in China’s three major urban agglomerations. Furthermore, this study employs the Standard Deviational Ellipse (SDE) model to explore their spatial–temporal evolution patterns and identify key constraints to resilience enhancement through an obstacle degree model. Key findings indicate: (1) UFR exhibits phased fluctuations with an upward trend, yet significant developmental disparities persist between core and peripheral cities, with the Pearl River Delta demonstrates systemic advantages through subsystem optimization; (2) Subsystem coordination has gradually improved but remains at a primary coordination level, reflecting imperfect cross-system governance mechanisms; (3) Structural fiscal allocation imbalances and fragmented institutional supply constitute the primary obstacles, manifested in constraints such as governmental governance capacity, municipal maintenance funding, and the adequacy of the social security system; This study enriches and refines the existing research indicator system, providing theoretical references for flood resilience capacity building and the practice of resilient city development in urban agglomerations.

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Publication Details

Journal
Ecological Indicators
Published
2025-05-28
DOI
https://doi.org/10.1016/j.ecolind.2025.113659
Citations
10
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
11.05

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Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China

Liang Chen, Yi Xiao, Xi Rao, Ming Chang et al.
10 citations
Ecological Indicators
Flood Risk Assessment and Management
11.05
article

Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China

Liang Chen, Yi Xiao, Xi Rao, Ming Chang, Huan Huang
article en
10 citations

Abstract

• Examining the urban flood resilience and obstacle factors in the three major urban three agglomerations of China. • Establishing a comprehensive index system of UFR based on EEISI framework. • System linkages strengthen, yet ER shows greatest disparity within subsystems. • Institutional quality, funding structures, and ecological metrics hinder UFR improvement. • Providing case studies for urban agglomeration flood control and UFR enhancement. Urban flooding has emerged as a structural challenge that hinders the resilient transformation of cities in the context of intensifying global climate change and frequent extreme weather events. However, comprehensive and systematic comparative analyses at the urban agglomeration scale are relatively scarce. To address this gap, this study developed a multidimensional evaluation framework (EEISI) that integrates economic, ecological, infrastructural, social, and institutional resilience. Based on the CRITIC-TOPSIS weighted evaluation model and the Coupling Coordination Degree (CCD) model, this study measures urban flood resilience and the interactions among resilience subsystems in China’s three major urban agglomerations. Furthermore, this study employs the Standard Deviational Ellipse (SDE) model to explore their spatial–temporal evolution patterns and identify key constraints to resilience enhancement through an obstacle degree model. Key findings indicate: (1) UFR exhibits phased fluctuations with an upward trend, yet significant developmental disparities persist between core and peripheral cities, with the Pearl River Delta demonstrates systemic advantages through subsystem optimization; (2) Subsystem coordination has gradually improved but remains at a primary coordination level, reflecting imperfect cross-system governance mechanisms; (3) Structural fiscal allocation imbalances and fragmented institutional supply constitute the primary obstacles, manifested in constraints such as governmental governance capacity, municipal maintenance funding, and the adequacy of the social security system; This study enriches and refines the existing research indicator system, providing theoretical references for flood resilience capacity building and the practice of resilient city development in urban agglomerations.

Ecological IndicatorsVol. 176
Chengdu University of Technology (CN)
Major Program of National Fund of Philosophy and Social Science of China, National Social Science Fund of China
Climate action
Openalex Percentile: Top 1%
Flood Risk Assessment and Management
11.05
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