Business School, Hohai University, Nanjing 211100, China E-mail:
Water Sci Technol. 2022 Dec;86(12):3264-3280. doi: 10.2166/wst.2022.404.
The research on urban flood resilience will contribute to building a more resilient city and provide valuable reference for municipal decision-makers. There are many frameworks and approaches for empirical studies on what constitutes urban flood resilience and how to evaluate it. In this study, a typical region suffering from flood disaster in China-Jiangsu Province was selected as the study area, including 13 prefecture-level cities. The pressure-state-response (PSR) framework, the projection pursuit based on real-coded accelerated genetic algorithm (RAGA-PP) and the technique for order preference by similarity to an ideal solution based on the Kullback-Leibler distance (KL-TOPSIS) were combined to develop a hybrid multi-criteria approach for assessing urban flood resilience. Then the grey relational analysis obtained the important factors. The results illustrate that (1) the development of each subsystem in the city is uncoordinated, that is, the pressure-subsystem has little influence on urban flood resilience, while the state-subsystem and the response-subsystem have great influence. (2) The urban flood resilience in Jiangsu Province presents obvious polarization trend, that is, Southern Jiangsu is more resilient than Northern Jiangsu. The underlying factors are closely related to the level of economic development. Furthermore, the proposed method provides a practical evaluation approach for other fields.
城市洪水韧性的研究有助于构建更具韧性的城市，并为市政决策者提供有价值的参考。对于构成城市洪水韧性的因素以及如何评估其韧性，有许多实证研究的框架和方法。在本研究中，选择了中国江苏省遭受洪水灾害的典型地区作为研究区域，包括 13 个地级市。采用压力-状态-响应（PSR）框架、基于实数加速遗传算法的投影寻踪（RAGA-PP）和基于 Kullback-Leibler 距离的理想解逼近排序方法（KL-TOPSIS）相结合，开发了一种用于评估城市洪水韧性的混合多标准方法。然后，通过灰色关联分析得到了重要因素。结果表明：（1）城市各子系统的发展不协调，即压力子系统对城市洪水韧性的影响较小，而状态子系统和响应子系统的影响较大。（2）江苏省的城市洪水韧性呈现明显的两极化趋势，即苏南比苏北更具韧性。其内在因素与经济发展水平密切相关。此外，该方法为其他领域提供了一种实用的评价方法。
