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A study of crowding effects at the Hong Kong light rail transit stations

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  • Lam, William H. K.
  • Cheung, Chung-Yu
  • Lam, C. F.
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    Abstract

    This paper investigates the important attributes relating to the crowding effects at the Light Rail Transit (LRT) stations in Hong Kong. With the data collected at two selected LRT stations for studying different crowding effects, the relationships between the dwelling time of trains and the crowding situations at LRT stations are firstly determined, and regression models are established for the dwelling delays of train. In this paper, the degrees of congestion on LRT platforms are also examined. The Level of Service (LOS) concept is applied to study the degrees of congestion on LRT platforms. Finally, the responses of the passengers due to the discomfort at crowded vehicles and congested platforms are investigated, in which stated preference surveys are conducted to study the effects of passenger discomfort at crowded vehicles and congested platforms. The results of this paper could be used as a basis for the platform design and planning of the LRT stations in Hong Kong.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 33 (1999)
    Issue (Month): 5 (June)
    Pages: 401-415

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    Handle: RePEc:eee:transa:v:33:y:1999:i:5:p:401-415

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    Cited by:
    1. Cox, Tom & Houdmont, Jonathan & Griffiths, Amanda, 2006. "Rail passenger crowding, stress, health and safety in Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 244-258, March.
    2. Tapiador, Francisco J. & Burckhart, Kerstin & Martí-Henneberg, Jordi, 2009. "Characterizing European high speed train stations using intermodal time and entropy metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 197-208, February.
    3. Huang, Ling & Wong, S.C. & Zhang, Mengping & Shu, Chi-Wang & Lam, William H.K., 2009. "Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 127-141, January.
    4. Lam, William H. K. & Zhou, Jing & Sheng, Zhao-han, 2002. "A capacity restraint transit assignment with elastic line frequency," Transportation Research Part B: Methodological, Elsevier, vol. 36(10), pages 919-938, December.
    5. de Palma, André & Lindsey, Robin, 2001. "Optimal timetables for public transportation," Transportation Research Part B: Methodological, Elsevier, vol. 35(8), pages 789-813, September.
    6. Nelson, Peter & Bagliano, Andrew & Harrington, Winston & Safirova, Elena & Lipman, Abram, 2006. "Transit in Washington, D.C.: Current Benefits and Optimal Level of Provision," Discussion Papers dp-06-21, Resources For the Future.
    7. Huang, Hai-Jun, 2002. "Pricing and logit-based mode choice models of a transit and highway system with elastic demand," European Journal of Operational Research, Elsevier, vol. 140(3), pages 562-570, August.
    8. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
    9. Sumalee, Agachai & Tan, Zhijia & Lam, William H.K., 2009. "Dynamic stochastic transit assignment with explicit seat allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 43(8-9), pages 895-912, September.

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