城市群
大洪水
城市化
弹性(材料科学)
城市复原力
托普西斯
心理弹性
比例(比率)
环境资源管理
地理
环境科学
土木工程
经济地理学
城市规划
工程类
经济增长
经济
地图学
运筹学
物理
热力学
考古
心理治疗师
心理学
作者
Juan Ji,Liping Fang,Junfei Chen,Tonghui Ding
标识
DOI:10.1016/j.ijdrr.2024.104519
摘要
With global climate change and continuous urbanization exacerbating floods, urban flood resilience (UFR) has become a key to cope with floods. However, few studies target frameworks of UFR assessment at the urban agglomeration scale over a longer time span. This study, taking the Yangtze River Delta urban agglomeration as a case study, developed an evaluation framework to detail the building of a final evaluation index system of UFR, to analyze UFR's driving factors and spatiotemporal features based on the SSA-PP-KL-TOPSIS (projection pursuit based on sparrow search algorithm-Kullback-Leibler-technique for order of preference by similarity to ideal solution) model. From the perspectives of comparing numerical values and spatial distribution results, the evaluation indicators and method proposed in this article perform better. The case results showed that UFR displayed an overall growth trend and significant spatial heterogeneities. The economic, social, and infrastructure resilience showed a similar growth trend, while the environmental resilience demonstrated a decreasing trend. Environmental resilience has become a weak link in improving resilience. Higher resilience levels were concentrated in the central metropolis, provincial capitals, and industrial cities. The findings could be of use to researchers and practitioners, and the framework presented would be of reference to other flood-stricken areas.
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