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Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency

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  • Liu, Qiong
  • Guo, Kai
  • Wu, Xianguo
  • Xiao, Zhonghua
  • Zhang, Limao

Abstract

This paper proposes an intelligent fire emergency rescue analysis model in which the Hierarchical Timed Colored Petri nets (HTCPN) are incorporated to realize process control and coordination. Two indicators of places and transitions are employed to identify the key parts of HTCPN. A diagnostic analysis of group allocation is developed to determine the most appropriate way to deploy firefighters. A sensitivity analysis based on SHapley Additive exPlanations (SHAP) is conducted to identify the relevant importance of key factors on the performance of emergency. The proposed approach is applied at a Wuhan metro station. Results indicate that: (1) The firefighting and rescue part is of uppermost priority for emergency rescue time controlling; (2) Among all 19 influential factors, six key factors are tested as exerting more significant impacts on the performance of emergency; (3) The proposed model could significantly improve the efficiency of the emergency response, reducing the overall response time by 14.3%. The novelty of this research lies in the developed digital emergency rescue model, which is capable of taking uncertainties underlying complex coordination among various departments into account. The model has the potential to provide basic technology to support decision-making and help develop a human-centered emergency rescue system.

Suggested Citation

  • Liu, Qiong & Guo, Kai & Wu, Xianguo & Xiao, Zhonghua & Zhang, Limao, 2024. "Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023005562
    DOI: 10.1016/j.ress.2023.109642
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    References listed on IDEAS

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    1. Chen Wang & Yanchao Song, 2020. "Fire Evacuation in Metro Stations: Modeling Research on the Effects of Two Key Parameters," Sustainability, MDPI, vol. 12(2), pages 1-11, January.
    2. Zhou, Jianfeng & Reniers, Genserik, 2022. "Petri-net based cooperation modeling and time analysis of emergency response in the context of domino effect prevention in process industries," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    3. Guo, Kai & Zhang, Limao, 2022. "Adaptive multi-objective optimization for emergency evacuation at metro stations," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    4. 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).
    5. Masoomeh Zeinalnezhad & Abdoulmohammad Gholamzadeh Chofreh & Feybi Ariani Goni & Jiří Jaromír Klemeš & Emelia Sari, 2020. "Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    6. Yan, R. & Dunnett, S.J. & Jackson, L.M., 2022. "Model-Based Research for Aiding Decision-Making During the Design and Operation of Multi-Load Automated Guided Vehicle Systems," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    7. Li, Yulong & Lin, Jie & Zhang, Chi & Zhu, Huaxing & Zeng, Saixing & Sun, Chengshaung, 2022. "Joint optimization of structure and protection of interdependent infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    8. Gama Dessavre, Dante & Ramirez-Marquez, Jose E. & Barker, Kash, 2016. "Multidimensional approach to complex system resilience analysis," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 34-43.
    9. He, Renfei & Zhang, Limao & Tiong, Robert L.K., 2023. "Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
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    Cited by:

    1. Qiao, Yidan & Gao, Xinwei & Ma, Lin & Chen, Dengkai, 2024. "Dynamic human error risk assessment of group decision-making in extreme cooperative scenario," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. Feng, Xinhang & Jiang, Yanli & Gai, Wenmei, 2024. "Rural community response to accidental toxic gas release: An individual emergency response model during self-organized evacuations," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    3. He, Zhichao & Shen, Kaixin & Lan, Meng & Weng, Wenguo, 2024. "An evacuation path planning method for multi-hazard accidents in chemical industries based on risk perception," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    4. He, Zhichao & Shen, Kaixin & Lan, Meng & Weng, Wenguo, 2024. "The effects of dynamic multi-hazard risk assessment on evacuation strategies in chemical accidents," Reliability Engineering and System Safety, Elsevier, vol. 246(C).

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