Measurement of flood resilience of metro station based on combination weighting-cloud model

Abstract

To further improve the flood safety level of metro stations, this research combined resilience theory and used combination weighting-cloud model method to evaluate metro station flood resilience. Firstly, the connotation of metro station flood resilience was defined. Physical-social-information trio spaces theory was combined with the resilience performance process of resistance, response, recovery and adaptation to determine influencing factors and develop evaluation index system. Secondly, combination weighting method was used to obtain index weight and quantitative model of metro station flood resilience measurement was developed by combining obstacle degree and cloud models. Finally, taking 8 metro stations in Zhengzhou as examples, an empirical research was performed to verify the scientificity and rationality of the proposed model. The results showed that: (1) The flood resilience levels of Zhengzhou metro stations were good as a whole and their response resilience, recovery resilience and adaptation resilience were relatively better than their resistance resilience, which complied with actual situations. (2) Peak hour passenger flow, emergency medical ability, public opinion guidance ability, flood engineering transformation, intelligent information platform construction and other indicators were found to be the key obstacle factors of the flood resilience of Zhengzhou metro stations, which needed to be paid attention to.