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Departure time and route choice of commuters on mass transit systems

Author

Listed:
  • Sumi, Tomonori
  • Matsumoto, Yoshiji
  • Miyaki, Yasuyuki

Abstract

This paper describes an attempt to find the commuter response function to operational features of mass transit systems in deciding the departure time and route. Generalized departure time, the departure time scaled to the probability of being late for the appointed time for arrival, was proposed as the response function. The function was specified and tested by the observations carefully selected in order to achieve the required environmental control for the assumptions of modelling. The specified function was transferable among some cities in Japan. The route choice behavior could be deduced from the function.

Suggested Citation

  • Sumi, Tomonori & Matsumoto, Yoshiji & Miyaki, Yasuyuki, 1990. "Departure time and route choice of commuters on mass transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 24(4), pages 247-262, August.
    • Handle: RePEc:eee:transb:v:24:y:1990:i:4:p:247-262
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    Citations

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    Cited by:

    1. de Palma, André & Lindsey, Robin, 2001. "Optimal timetables for public transportation," Transportation Research Part B: Methodological, Elsevier, vol. 35(8), pages 789-813, September.
    2. Alfa, Attahiru Sule & Chen, Mingyuan, 1995. "Temporal distribution of public transport demand during the peak period," European Journal of Operational Research, Elsevier, vol. 83(1), pages 137-153, May.
    3. Tang, Yili & Jiang, Yu & Yang, Hai & Nielsen, Otto Anker, 2020. "Modeling and optimizing a fare incentive strategy to manage queuing and crowding in mass transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 247-267.
    4. Carraresi, Paolo & Malucelli, Federico & Pallottino, Stefano, 1996. "Regional mass transit assignment with resource constraints," Transportation Research Part B: Methodological, Elsevier, vol. 30(2), pages 81-98, April.
    5. 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.
    6. Tian, Qiong & Huang, Hai-Jun & Yang, Hai, 2007. "Equilibrium properties of the morning peak-period commuting in a many-to-one mass transit system," Transportation Research Part B: Methodological, Elsevier, vol. 41(6), pages 616-631, July.
    7. Hamdouch, Younes & Ho, H.W. & Sumalee, Agachai & Wang, Guodong, 2011. "Schedule-based transit assignment model with vehicle capacity and seat availability," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1805-1830.
    8. Yang, Hai & Tang, Yili, 2018. "Managing rail transit peak-hour congestion with a fare-reward scheme," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 122-136.
    9. Sang Nguyen & Stefano Pallottino & Federico Malucelli, 2001. "A Modeling Framework for Passenger Assignment on a Transport Network with Timetables," Transportation Science, INFORMS, vol. 35(3), pages 238-249, August.
    10. Tian, Qiong & Liu, Peng & Ong, Ghim Ping & Huang, Hai-Jun, 2021. "Morning commuting pattern and crowding pricing in a many-to-one public transit system with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    11. Watling, David, 2006. "User equilibrium traffic network assignment with stochastic travel times and late arrival penalty," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1539-1556, December.
    12. You-Zhi Zeng & Bin Ran & Ning Zhang & Xiaobao Yang & Jia-Jun Shen & She-Jun Deng, 2018. "Optimal Pricing and Service for the Peak-Period Bus Commuting Inefficiency of Boarding Queuing Congestion," Sustainability, MDPI, vol. 10(10), pages 1-14, September.

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