A Study on Evaluation Methods of Flood Resilience at the Community Level and Improvement Strategies for Planning Applications

To address frequent street-level flooding, inadequate targeted management, and unbalanced cost-effectiveness in the old urban area, this study takes Yong’an Subdistrict in Quanshan District, Xuzhou, as a typical case, regards the street-level as its fundamental analytical unit and constructs a systematic “simulation–assessment–strategy” framework, focusing on evaluating and enhancing flood resilience in old urban districts. First, numerical simulation quantifies water depth under extreme rainfall to identify the flood risk spatial distribution. Second, a flood resilience assessment system is established based on the “exposure–vulnerability–adaptive capacity” framework, using the TOPSIS method to measure and grade street resilience. Finally, differentiated flood management strategies are proposed by integrating assessment results with regional characteristics. This study shows that high-risk flooding zones are clustered, with resilience results significantly correlated with the flood risk distribution. Low-resilience areas highly overlap with high-risk zones, mainly due to deficiencies in engineering, ecological, and social resilience. Accordingly, differentiated strategies—”pipe network upgrades + permeable paving”, “retention facilities + smart drainage”, and “micro-topography modifications”—are applied to old residential areas, core commercial districts, and new development peripheries. This approach balances management costs and effectiveness, providing theoretical and practical support for precise street-level flood management and spatial optimization in old urban districts.

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Publication Details

Journal
Land
Published
2026-06-18
DOI
https://doi.org/10.3390/land15061077
Primary Topic
Flood Risk Assessment and Management
Type
article
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article

A Study on Evaluation Methods of Flood Resilience at the Community Level and Improvement Strategies for Planning Applications

Fangjie Cao, Qianxin Wang, Yun Qiu, Xu Li et al.
Land
Flood Risk Assessment and Management
article

A Study on Evaluation Methods of Flood Resilience at the Community Level and Improvement Strategies for Planning Applications

Fangjie Cao, Qianxin Wang, Yun Qiu, Xu Li, Y N Wu, Juntao Tan
article en

Abstract

To address frequent street-level flooding, inadequate targeted management, and unbalanced cost-effectiveness in the old urban area, this study takes Yong’an Subdistrict in Quanshan District, Xuzhou, as a typical case, regards the street-level as its fundamental analytical unit and constructs a systematic “simulation–assessment–strategy” framework, focusing on evaluating and enhancing flood resilience in old urban districts. First, numerical simulation quantifies water depth under extreme rainfall to identify the flood risk spatial distribution. Second, a flood resilience assessment system is established based on the “exposure–vulnerability–adaptive capacity” framework, using the TOPSIS method to measure and grade street resilience. Finally, differentiated flood management strategies are proposed by integrating assessment results with regional characteristics. This study shows that high-risk flooding zones are clustered, with resilience results significantly correlated with the flood risk distribution. Low-resilience areas highly overlap with high-risk zones, mainly due to deficiencies in engineering, ecological, and social resilience. Accordingly, differentiated strategies—”pipe network upgrades + permeable paving”, “retention facilities + smart drainage”, and “micro-topography modifications”—are applied to old residential areas, core commercial districts, and new development peripheries. This approach balances management costs and effectiveness, providing theoretical and practical support for precise street-level flood management and spatial optimization in old urban districts.

LandVol. 15(6)
Jiangsu Normal University (CN), China University of Mining and Technology (CN)
Openalex Percentile: Top 7%
Flood Risk Assessment and Management
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