Urban flood resilience evaluation in China: a systematic review of frameworks, methods, and limitations DOI Creative Commons
Long Liu, Yin Junjia, Jiao Wang

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 16(1)

Published: Dec. 23, 2024

With the acceleration of climate change and urbanization, impacts floods on Chinese cities have become increasingly severe, improving urban flood resilience has an urgent issue. Although scholars in China proposed many methods to evaluate last decade, research this field not been critically reviewed thoroughly detail. Therefore, study selects high-quality original papers from previous decade focuses analyzing location, framework, data, analytical methods, limitations current assessment methods. The study's main objective is inform identification a system applicable context while revealing existing methodology's shortcomings data accuracy quality, consideration regional variability, indicator validity. Finally, finds significant challenges eight areas: talent pool, public participation, investment financing mechanisms. It provides targeted strategies, such as building multi-sectoral synergistic governance mechanism.

Language: Английский

A GIS-based multi-criteria decision analysis of urban flood risk DOI
Wenping Xu,

Xiaoqin Guo,

David Proverbs

et al.

International Journal of Building Pathology and Adaptation, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Purpose Flooding is China’s most frequent and catastrophic natural hazard, causing extensive damage. The aim of this study to develop a comprehensive assessment urban flood risk in the Hubei Province China, focusing on following three issues: (1) What are factors that cause floods? (2) To what extent do these affect management? (3) How build an effective system can be used reduce risk? Design/methodology/approach This combines expert opinion evidence from literature identify indicators across four dimensions: disaster risk, susceptibility, exposure prevention mitigation. Criteria Importance Through Intercriteria Correlation (CRITIC) Grey Relational Analysis (RA)-based Technique for Order Preference by Similarity Ideal Solution (TOPSIS) decision-making approach were applied calculate weighting model risk. Then, ArcGIS software visualizes levels spatial distribution cities Province; uncertainty analysis verified method accuracy. Findings results show there significant differences level Province, with such as Tianmen, Qianjiang, Xiantao Ezhou being at high while Shiyan, Xiangyang, Shennongjia, Yichang, Wuhan Huanggang lower Originality/value innovative combining CRITIC-GRA-TOPSIS reduces presence subjective bias found many other frameworks. Regional data extraction enhance result reliability, supporting long-term planning. Overall, methodological developed provides advanced, highly efficient visualization deepens understanding mechanisms more broadly supports development resilient cities.

Language: Английский

Citations

0
Spatio-Temporal Differentiation and Influencing Factors of Urban Ecological Resilience in Xuzhou City DOI Creative Commons
Ting Zhang,

X. H. Wang,

X Li

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 1048 - 1048

Published: May 12, 2025

Urban ecological resilience (UER) is vital for sustainable development, enabling cities to maintain stability in the face of environmental challenges. This study combined landscape pattern indices and spatial measurement methods, establishing a multi-scale linked “Resistance-Adaptation-Recovery (Res-Ad-Rec)” model chain assess UER Xuzhou City, analyzed spatiotemporal changes using Moran’s I indices, explored influencing factors through Multi-scale Geographically Weighted Regression (MGWR) model. Finally, research framework “three-dimensional assessment, diagnosis, mechanism analysis” was constructed achieve multi-dimensional dynamic analysis. The results showed following: (1) declined from 2008 2022, with low-value areas expanding city center high-value near water bodies. (2) autocorrelation significant, rise Global index strongest agglomeration effect observed 2022. High–high low–low clustering were main characteristics local autocorrelation. (3) Population density nighttime lighting intensity major distribution City. findings can provide useful reference similar resource transition explore path development.

Language: Английский

Citations

0
Urban flood resilience evaluation in China: a systematic review of frameworks, methods, and limitations DOI Creative Commons
Long Liu, Yin Junjia, Jiao Wang

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 16(1)

Published: Dec. 23, 2024

With the acceleration of climate change and urbanization, impacts floods on Chinese cities have become increasingly severe, improving urban flood resilience has an urgent issue. Although scholars in China proposed many methods to evaluate last decade, research this field not been critically reviewed thoroughly detail. Therefore, study selects high-quality original papers from previous decade focuses analyzing location, framework, data, analytical methods, limitations current assessment methods. The study's main objective is inform identification a system applicable context while revealing existing methodology's shortcomings data accuracy quality, consideration regional variability, indicator validity. Finally, finds significant challenges eight areas: talent pool, public participation, investment financing mechanisms. It provides targeted strategies, such as building multi-sectoral synergistic governance mechanism.

Language: Английский

Citations

1