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A hybrid simulation model of passenger emergency evacuation under disruption scenarios: A case study of a large transfer railway station

Author

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  • Erfan Hassannayebi
  • Mehrdad Memarpour
  • Soheil Mardani
  • Masoud Shakibayifar
  • Iman Bakhshayeshi
  • Shervin Espahbod

Abstract

The problem of managing effective pedestrian evacuation during disruptions is a significant challenge because of the complexity and randomness of the passenger flow dynamics as well as the difficulty in predicting the responsive behaviour of the passengers. In this study, a hybrid agent-based and discrete-event simulation model of passenger flow is designed and implemented to assess the service level performance and the crowdedness ratio in a transfer metro station. This study investigates the statistical significance of the results obtained by the design alternatives and the safety analysis of a multiple-level transfer station through a real-world case study. The simulation model is designed to test various disruption scenarios, including train failure in the tunnel, as well as fire at the station gallery of a crowded metro station. The simulation result shows that the evacuation time can be decreased by 19.5%, compared with the basic design layout.

Suggested Citation

  • Erfan Hassannayebi & Mehrdad Memarpour & Soheil Mardani & Masoud Shakibayifar & Iman Bakhshayeshi & Shervin Espahbod, 2020. "A hybrid simulation model of passenger emergency evacuation under disruption scenarios: A case study of a large transfer railway station," Journal of Simulation, Taylor & Francis Journals, vol. 14(3), pages 204-228, July.
    • Handle: RePEc:taf:tjsmxx:v:14:y:2020:i:3:p:204-228
    DOI: 10.1080/17477778.2019.1664267
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    Cited by:

    1. Mo, Baichuan & Koutsopoulos, Haris N. & Shen, Zuo-Jun Max & Zhao, Jinhua, 2023. "Robust path recommendations during public transit disruptions under demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 82-107.

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