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To quantitatively assess the ability of urban regions to cope with rainstorm flood disasters, the assessment index system of urban resilience under flood disasters was established based on resilient city ideas. 21 indicators were determined from the three attributes of resistance, adaptability, and recovery, as well as the four dimensions of economy, society, ecological environment, and infrastructure. Based on the principle of minimum relative information entropy, the combined weights of indicators were determined by the Analytic Hierarchy Process(AHP) and Criteria Importance Though Intercrieria Correlation(CRITIC). The assessment model of urban resilience was established using the Technique for Order Preference by Similarity to the Ideal Solution(TOPSIS). Taking Xi'an as an example, the resilience of resistance, adaptability, and recovery attributes and the resilience of economic, social, ecological environment and infrastructure dimensions were evaluated in six areas including Xincheng District, Beilin District, Lianhu District, Baqiao District, Weiyang District, and Yanta District. The level of urban regional resilience was obtained. The results show that the attribute of resistance and adaptability are the main factors that affect the level of urban resilience. The dimension of ecological environment and infrastructure have a greater influence on the urban resilience level, while the dimension of economy and society have little influence on the urban resilience level. The resilience levels varied greatly among regions. The levels of resilience of resistance, adaptability, and recovery attributes are highest in Baqiao District. The level of economic resilience is highest in Yanta District, and all dimensions of resilience are weak in Beilin District and Lianhu District. Moreover, the resilience rating of Baqiao District is Class III, the resilience rating of Xincheng District and Weiyang District is Class II, and the resilience rating of Beilin District, Lianhu District, and Yanta District is Class I. The assessment results provide a reference for improving urban resilience and reducing flood disaster risk.
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Basic Information:
DOI：10.13637/j.issn.1009-6094.2022.2000
China Classification Code:TU998.4;TU984.116
Citation Information:
[1]MENG Xiao-jing,CHEN Xin,CHEN Jia-jing ,et al.Application of combination weighting and TOPSIS in the assessment of urban regional resilience under flood disaster[J].Journal of Safety and Environment,2023,23(05):1465-1473.DOI:10.13637/j.issn.1009-6094.2022.2000.
2023-01-12
2023-01-12
2023-01-12