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Determining Subway Emergency Evacuation Efficiency Using Hybrid System Dynamics and Multiple Agents

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  • Kai Yu

    (College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    College of Humanities and Law, Shandong University of Science and Technology, Qingdao 266590, China
    Min An Institute of Emergency and Safety Management of Qingdao West Coast New Area, Qingdao 266590, China)

  • Nannan Qu

    (College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Science and Technology Museum of Shandong Province, Jinan 250063, China)

  • Jifeng Lu

    (College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    College of Humanities and Law, Shandong University of Science and Technology, Qingdao 266590, China
    Min An Institute of Emergency and Safety Management of Qingdao West Coast New Area, Qingdao 266590, China)

  • Lujie Zhou

    (College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

With the rapid development of the city, more and more people are choosing the subway as their travel mode. However, the hidden dangers of the subway are becoming increasingly prominent, and emergency evacuation of the subway has become a key factor for its safe operation. Therefore, the research objectives of this paper were to focus on the subway emergency evacuation hybrid model to fill the gap in the field of emergency evacuation simulation methods and countermeasure optimization. The analysis network process (ANP) was used to analyze the influence factors and weights of subway pedestrian evacuation. On this basis, a multiagent model of subway pedestrian evacuation (SD + multiagent) was developed and simulated. The results show that the comprehensive evacuation strategy could improve the evacuation efficiency, shorten the evacuation time, and avoid the waste of resources. This study not only improved the accuracy of the simulation, but also clarified the evacuation process. This approach can effectively prevent the occurrence of subway accidents, reduce casualties, and prevent large-scale casualties such as secondary accidents (induced secondary disasters).

Suggested Citation

  • Kai Yu & Nannan Qu & Jifeng Lu & Lujie Zhou, 2022. "Determining Subway Emergency Evacuation Efficiency Using Hybrid System Dynamics and Multiple Agents," Mathematics, MDPI, vol. 10(19), pages 1-18, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3693-:d:936791
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    References listed on IDEAS

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    2. Xue Lin & Long Cheng & Shuo Zhang & Qianling Wang, 2023. "Simulating the Effects of Gate Machines on Crowd Traffic Based on the Modified Social Force Model," Mathematics, MDPI, vol. 11(3), pages 1-12, February.

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