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Scenario-Based Allocation of Emergency Resources in Metro Emergencies: A Model Development and a Case Study of Nanjing Metro

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  • Ying Lu

    (School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Shuqi Sun

    (School of Civil Engineering, Southeast University, Nanjing 211189, China)

Abstract

As metro systems are becoming more and more widely used, all kinds of emergencies happen from time to time. A series of cases indicate that inefficient emergency response is a dominating cause of tremendous casualties and losses. The fast and valid allocation of emergency resources after the occurrence of metro emergencies has become a key point in improving the sustainability of metro operations. However, few studies have attempted to determine the allocation of emergency resources in metro emergencies. In this study, considering the unpredictability of different emergency scenarios in the metro system, the scenario-response mode was applied in the resource allocation decision. In this mode, a metro emergency scenario framework was first constructed through the identification of metro emergency elements. Next, a multi-objective model was established for the allocation of emergency resources in the metro emergency rescue process using a scenario-based analysis. The model aims to minimize both the penalty costs due to delays and the sum of allocation costs. The particle swarm optimization algorithm was adopted to solve the model. Eventually, a fire accident scenario at Nanjing Metro was applied to verify the feasibility and validity of the presented model and algorithm. The research results not only enrich and improve metro emergency management theoretically, but also enhance metro emergency rescue ability in practice.

Suggested Citation

  • Ying Lu & Shuqi Sun, 2020. "Scenario-Based Allocation of Emergency Resources in Metro Emergencies: A Model Development and a Case Study of Nanjing Metro," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6380-:d:396060
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    Cited by:

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    2. Jiale Zhao & Fuqiang Yang & Yong Guo & Xin Ren, 2022. "A CAST-Based Analysis of the Metro Accident That Was Triggered by the Zhengzhou Heavy Rainstorm Disaster," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    3. Kaigong Zhao & Xiaolei Zhang & Hui Wang & Yongling Gai & Haiyan Wang, 2022. "Allocation of Resources for Emergency Response to Coal-to-Oil Hazardous Chemical Accidents under Railway Transportation Mode," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    4. Feiyue Wang & Ziling Xie & Hui Liu & Zhongwei Pei & Dingli Liu, 2022. "Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    5. Liu, Qiong & He, Renfei & Zhang, Limao, 2022. "Simulation-based multi-objective optimization for enhanced safety of fire emergency response in metro stations," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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