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Exploring the pedestrian level of interaction on platform conflict areas at metro stations by real-scale laboratory experiments

Author

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  • Sebastian Seriani
  • Taku Fujiyama
  • Catherine Holloway

Abstract

To reduce passenger interactions improvement on platform designs is needed. Present procedures use the level of service (LOS) based only on average values and therefore is not possible to identify which piece of space reached the highest interaction. This paper explores a new method to classify the interaction between passengers boarding and alighting through laboratory experiments under controlled conditions. The experiments were based on observation at two stations operated by London Underground Limited, which included platform edge doors and a semi-circular space defined as platform conflict area. Results were expressed according to the types of queues, formation of lanes, density by layer, and distance between passengers. The level of interaction was a more precise indicator compared to the LOS. The density by layer followed a logarithmic distribution, reaching almost four times the overall density. Further research needs to be conducted to measure the passenger space on the platform.

Suggested Citation

  • Sebastian Seriani & Taku Fujiyama & Catherine Holloway, 2017. "Exploring the pedestrian level of interaction on platform conflict areas at metro stations by real-scale laboratory experiments," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(1), pages 100-118, January.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:1:p:100-118
    DOI: 10.1080/03081060.2016.1238574
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    Citations

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    Cited by:

    1. Paulo Aguayo & Sebastian Seriani & Jose Delpiano & Gonzalo Farias & Taku Fujiyama & Sergio A. Velastin, 2023. "Experimental Method to Estimate the Density of Passengers on Urban Railway Platforms," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    2. Matias Kulczewski & Andres Wilson & Sebastian Seriani & Taku Fujiyama, 2022. "Factorial Design with Simulation for the Optimization of the Level of Service in the Platform-Train Interface of Metro Stations—A Pilot Study," Sustainability, MDPI, vol. 14(23), pages 1-24, November.
    3. Wang, Shuaian & Zhang, Wei & Qu, Xiaobo, 2018. "Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 318-335.
    4. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2019. "When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 51-69.
    5. Sebastian Seriani & Jose Miguel Barriga & Alvaro Peña & Alejandra Valencia & Vicente Aprigliano & Lorena Jorquera & Hernan Pinto & Matías Valenzuela & Taku Fujiyama, 2022. "Analyzing the Effect of Crowds on Passenger Behavior Inside Urban Trains through Laboratory Experiments—A Pilot Study," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    6. Sewmini Jayatilake & Jonathan M. Bunker & Ashish Bhaskar & Marc Miska, 2021. "Time–space analysis to evaluate cell-based quality of service in bus rapid transit station platforms through passenger-specific area," Public Transport, Springer, vol. 13(2), pages 395-427, June.

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