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Evaluation of Flooding Disaster Risks for Subway Stations Based on the PSR Cloud Model

Author

Listed:
  • Jingyan Liu

    (School of Civil Engineering, Institute of Disaster Prevention, Sanhe 065201, China
    Key Laboratory of Building Collapse Mechanism and Disaster Prevention, China Earthquake Administration, Sanhe 065201, China)

  • Wenwen Zheng

    (School of Civil Engineering, Institute of Disaster Prevention, Sanhe 065201, China)

  • Huimin Li

    (Department of Construction Engineering and Management, North China University of Water Resources and Electric Power, Zhengzhou 450011, China)

  • Jia Chen

    (School of Civil Engineering, Institute of Disaster Prevention, Sanhe 065201, China
    Key Laboratory of Building Collapse Mechanism and Disaster Prevention, China Earthquake Administration, Sanhe 065201, China)

Abstract

This study aims to scientifically evaluate the risk of rainstorm waterlogging disasters in urban subway stations, improve the management of disaster prevention and control, and mitigate the impact of such disasters. To achieve this, a risk assessment analysis was conducted using the Pressure-State-Response (PSR) cloud model. The analysis involved examining the components of the subway station rainstorm waterlogging disaster system, including the disaster-prone environment, disaster-affected body, and disaster-causing factors. Based on the PSR framework, a risk assessment index system for rainstorm waterlogging disasters in subway stations was developed. The entropy weight method and cloud model algorithm were then combined to establish a risk assessment method. By utilizing a cloud generator, the digital characteristics of the risk cloud were calculated, and a risk cloud map was generated to determine the level of risk. Finally, an empirical analysis was carried out at Jin’anqiao Station of the Beijing Subway, providing valuable insights for the evaluation of rainstorm waterlogging disasters in subway stations.

Suggested Citation

  • Jingyan Liu & Wenwen Zheng & Huimin Li & Jia Chen, 2023. "Evaluation of Flooding Disaster Risks for Subway Stations Based on the PSR Cloud Model," Sustainability, MDPI, vol. 15(21), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15552-:d:1272720
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    References listed on IDEAS

    as
    1. Liang Wang & Qingbiao Guo & Xuexiang Yu, 2023. "Stability-Level Evaluation of the Construction Site above the Goaf Based on Combination Weighting and Cloud Model," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    2. Xiaoling Xie & Gaonan Zhou & Shibao Yu, 2023. "Study on Rural Ecological Resilience Measurement and Optimization Strategy Based on PSR-“Taking Weiyuan in Gansu Province as an Example”," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
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