Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China

Research Article

Study on vulnerability evaluation of rainstorm waterlogging disaster based on DEMATEL-AISM

Download167 downloads
  • @INPROCEEDINGS{10.4108/eai.24-2-2023.2330609,
        author={Ning  Cui and Ge  Guo},
        title={Study on vulnerability evaluation of rainstorm waterlogging disaster based on DEMATEL-AISM},
        proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China},
        publisher={EAI},
        proceedings_a={EMIS},
        year={2023},
        month={6},
        keywords={vulnerability; dematel; aism; urban waterlogging; rail transit},
        doi={10.4108/eai.24-2-2023.2330609}
    }
    
  • Ning Cui
    Ge Guo
    Year: 2023
    Study on vulnerability evaluation of rainstorm waterlogging disaster based on DEMATEL-AISM
    EMIS
    EAI
    DOI: 10.4108/eai.24-2-2023.2330609
Ning Cui1, Ge Guo1,*
  • 1: Liaoning Technical University
*Contact email: 2481991827@qq.com

Abstract

In the hope of improving emergency management of underground rail transit in rainstorm waterlogging disasters, this study analysed the influencing factors of underground rail transit vulnerability in rainstorm waterlogging disasters. First, the influencing factors were identified from the three dimensions, namely, exposure, sensitivity and adaptive capacity, and an evaluation index system was established accordingly. The DEMATEL method was used to investigate the importance of each factor. Subsequently, the degree of influence was assessed with the AISM method. Ultimately, a hierarchical structure of the factors influencing the vulnerability of underground rail transit in rainstorm waterlogging disasters was established. The results show that S14 safety investment, S2 surrounding hazards, S3 topography of entrance and exit, S5 height of entrance and exit steps, and S6 weather conditions are the key influencing factors. According to these factors, rainstorm water logging risk can be reduced. The research results can also provide a theoretical basis for disaster prevention and mitigation and risk management in rainstorms and floods.