Vulnerability assessment of rainfall and waterlogging in subway stations based on projection pursuit model

doi:10.16265/j.cnki.issn1003-3033.2019.09.001

Abstract

Abstract: In order to scientifically evaluate vulnerability of heavy rainfall and waterlogging in subway stations, enhance prevention and emergency response ability as well as reduce injuries and loss of life and property, firstly, vulnerability factors were comprehensively identified and furthermore an evaluation index system was constructed based on PSR model. Then, a model of vulnerability assessment was established combining methods of projection pursuit, particle swarm optimization and others. Finally, all station projects of Chengdu subway line 11 were selected for empirical analysis. The results show that poor surrounding environment, height of water retaining walls and disaster relief supplies storage have obvious impacts on vulnerability and should be paid close attention to, and adaptability is a key element of vulnerability. Empirical evaluation results are basically consistent with the disaster situation of flood season in 2018.

Key words: subway station, rainfall and waterlogging, pressure-state-response (PSR) model, vulnerability, projection pursuit

CLC Number:

X915.5

WANG Junwu, WU Han, YANG Tingyou. Vulnerability assessment of rainfall and waterlogging in subway stations based on projection pursuit model[J]. China Safety Science Journal, 2019, 29(9): 1-7.

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