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Alleviating a subway bottleneck through a platform gate

Author

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  • Muñoz, Juan Carlos
  • Soza-Parra, Jaime
  • Didier, Arturo
  • Silva, Constanza

Abstract

This paper shows the results of an experiment in which a gate allowing only unidirectional flows was installed on the middle of a Metro platform. The results were very positive: operation of the Metro Line was improved, travel times were reduced, and both regularity and frequency of trains increased. Finally, the perception of the service by its riders also saw an improvement. The main cause of this impact is that the gate encourages riders to arrange themselves more efficiently on board the train allowing the platform to clear much more quickly. A video about the intervention can be found here: https://www.youtube.com/watch?v=p2PcgDt4cFs.

Suggested Citation

  • Muñoz, Juan Carlos & Soza-Parra, Jaime & Didier, Arturo & Silva, Constanza, 2018. "Alleviating a subway bottleneck through a platform gate," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 446-455.
    • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:446-455
    DOI: 10.1016/j.tra.2018.07.004
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    References listed on IDEAS

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    1. Lam, William H. K. & Cheung, Chung-Yu & Lam, C. F., 1999. "A study of crowding effects at the Hong Kong light rail transit stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(5), pages 401-415, June.
    2. Kim, Hyunmi & Kwon, Sohee & Wu, Seung Kook & Sohn, Keemin, 2014. "Why do passengers choose a specific car of a metro train during the morning peak hours?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 249-258.
    3. Hänseler, Flurin S. & Lam, William H.K. & Bierlaire, Michel & Lederrey, Gael & Nikolić, Marija, 2017. "A dynamic network loading model for anisotropic and congested pedestrian flows," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 149-168.
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    Cited by:

    1. Peftitsi, Soumela & Jenelius, Erik & Cats, Oded, 2022. "Modeling the effect of real-time crowding information (RTCI) on passenger distribution in trains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 354-368.
    2. Muren, & Zhang, Shiyuan & Hua, Lianlian & Yu, Bo, 2022. "Peak-easing strategies for urban subway operations in the context of COVID-19 epidemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    3. Yao, Jia & Cheng, Ziyi & Chen, Anthony, 2023. "Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022)," Transportation Research Part B: Methodological, Elsevier, vol. 177(C).

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