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A study on passengers’ alighting and boarding process at metro platform by computer simulation

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  • Li, Zitong
  • Lo, S.M.
  • Ma, Jian
  • Luo, X.W.

Abstract

Passengers’ alighting and boarding process in metro stations has attracted increasing research attention since it has significant influence on the platform passenger distribution as well as the train dwell time. In this study, a field survey was firstly performed in a densely populated metro station at downtown area in Hong Kong to observe passengers’ alighting and boarding characteristics and collect sample data. One commonly existing phenomenon is found that boarding passengers start to get aboard even when there are alighting passengers still inside the metro carriage. This is defined as passengers’ non-compliance behaviors in this paper. In addition, time indicators are defined to measure the alighting and boarding efficiency. Then a microscopic pedestrian simulation model based on the Social Force Model is proposed to simulate the passengers’ alighting and boarding patterns at metro platform. The verification result shows the good applicability of the proposed model to simulate the actual situation. Finally, several simulation tests are conducted to explore the impacts that passengers’ non-compliance behaviors have on the alighting and boarding efficiency in different passenger volume conditions. The simulation result shows that higher level of passengers’ non-compliance behaviors leads to longer passenger’s alighting duration and boarding duration, but the influence on the overall transaction time is related to different passenger volume conditions. Thus, metro station facility could apply different alighting and boarding rules in different passenger volume conditions to increase alighting and boarding efficiency.

Suggested Citation

  • Li, Zitong & Lo, S.M. & Ma, Jian & Luo, X.W., 2020. "A study on passengers’ alighting and boarding process at metro platform by computer simulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 840-854.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:840-854
    DOI: 10.1016/j.tra.2019.12.017
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    References listed on IDEAS

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    Cited by:

    1. Zheng, Zhongxing & Wang, Heng & Liu, Weiming & Peng, Liru, 2023. "Toward real-time congestion measurement of passenger flow on platform screen doors based on surveillance videos analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    2. Hörsting, Lena & Cleophas, Catherine, 2023. "Scheduling shared passenger and freight transport on a fixed infrastructure," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1158-1169.
    3. Wang, Weili & Zhang, Jingjing & Li, Haicheng & Xie, Qimiao, 2020. "Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    4. Sebastian Seriani & Vicente Aprigliano Fernandes & Paola Moraga & Fabian Cortes, 2022. "Experimental Location of the Vertical Handrail to Improve the Accessibility of Wheelchair Passengers Boarding and Alighting at Metro Stations—A Pilot Study," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    5. Liang, Jinpeng & Zang, Guangzhi & Liu, Haitao & Zheng, Jianfeng & Gao, Ziyou, 2023. "Reducing passenger waiting time in oversaturated metro lines with passenger flow control policy," Omega, Elsevier, vol. 117(C).

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