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Mitigating bus bunching with real-time crowding information

Author

Listed:
  • Arkadiusz Drabicki

    (Cracow University of Technology)

  • Rafał Kucharski

    (Jagiellonian University)

  • Oded Cats

    (Delft University of Technology)

Abstract

A common problem in public transport systems is bus bunching, characterized by a negative feedback loop between service headways, number of boarding passengers and dwell times. In this study, we examine whether providing real-time crowding information (RTCI) at the stop regarding the two next vehicle departures can stimulate passengers to wait for a less-crowded departure, and thus alleviate the bunching effect. To this end, we leverage on results from own stated-preference survey and develop a boarding choice model. The model accounts for the presence of RTCI and is implemented within dynamic public transport simulation framework. Application to the case-study model of a major bus corridor in Warsaw (Poland) reveals that RTCI can induce a significant probability (30–70%) of intentionally skipping an overcrowded bus and waiting for a later departure instead. This behaviour, in turn, results in significantly lower vehicle headway and load variations, without deteriorations in total waiting utility. Overall, journey experience improves by 6%, and crucially—the prevalence of denial-of-boarding and excessive on-board overcrowding is substantially reduced, by ca. 40%. Results of our study indicate that the willingness to wait induced by RTCI can be a potential demand management strategy in counteracting bunching, with benefits already attainable at limited RTCI response rates.

Suggested Citation

  • Arkadiusz Drabicki & Rafał Kucharski & Oded Cats, 2023. "Mitigating bus bunching with real-time crowding information," Transportation, Springer, vol. 50(3), pages 1003-1030, June.
  • Handle: RePEc:kap:transp:v:50:y:2023:i:3:d:10.1007_s11116-022-10270-3
    DOI: 10.1007/s11116-022-10270-3
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    References listed on IDEAS

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    1. Delgado, Felipe & Munoz, Juan Carlos & Giesen, Ricardo, 2012. "How much can holding and/or limiting boarding improve transit performance?," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1202-1217.
    2. Yizhou Zhang & Erik Jenelius & Karl Kottenhoff, 2017. "Impact of real-time crowding information: a Stockholm metro pilot study," Public Transport, Springer, vol. 9(3), pages 483-499, October.
    3. Cats, Oded & West, Jens & Eliasson, Jonas, 2016. "A dynamic stochastic model for evaluating congestion and crowding effects in transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 43-57.
    4. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou & Ma, Changxi, 2019. "Stochastic bus schedule coordination considering demand assignment and rerouting of passengers," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 275-303.
    5. de Palma, André & Kilani, Moez & Proost, Stef, 2015. "Discomfort in mass transit and its implication for scheduling and pricing," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 1-18.
    6. Wang, Pengfei & Chen, Xuewu & Zheng, Yue & Cheng, Long & Wang, Yinhai & Lei, Da, 2021. "Providing real-time bus crowding information for passengers: A novel policy to promote high-frequency transit performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 316-329.
    7. Oded Cats & Erik Jenelius, 2014. "Dynamic Vulnerability Analysis of Public Transport Networks: Mitigation Effects of Real-Time Information," Networks and Spatial Economics, Springer, vol. 14(3), pages 435-463, December.
    8. Shuzhi Zhao & Chunxiu Lu & Shidong Liang & Huasheng Liu, 2016. "A Self-Adjusting Method to Resist Bus Bunching Based on Boarding Limits," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-7, May.
    9. Schmöcker, Jan-Dirk & Sun, Wenzhe & Fonzone, Achille & Liu, Ronghui, 2016. "Bus bunching along a corridor served by two lines," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 300-317.
    10. Martin Adam & Dominick Werner & Charlotte Wendt & Alexander Benlian, 2020. "Containing COVID-19 through physical distancing: the impact of real-time crowding information," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(5), pages 595-607, September.
    11. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou, 2017. "Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 175-197.
    12. Bartholdi, John J. & Eisenstein, Donald D., 2012. "A self-coördinating bus route to resist bus bunching," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 481-491.
    13. Berrebi, Simon J. & Watkins, Kari E. & Laval, Jorge A., 2015. "A real-time bus dispatching policy to minimize passenger wait on a high frequency route," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 377-389.
    14. Daganzo, Carlos F. & Pilachowski, Josh, 2011. "Reducing bunching with bus-to-bus cooperation," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 267-277, January.
    15. Fatemeh Enayatollahi & Ahmed Osman Idris & M. A. Amiri Atashgah, 2019. "Modelling bus bunching under variable transit demand using cellular automata," Public Transport, Springer, vol. 11(2), pages 269-298, August.
    16. Adamski, Andrzej & Turnau, Andrzej, 1998. "Simulation support tool for real-time dispatching control in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(2), pages 73-87, February.
    17. Adam, Martin & Werner, Dominick & Wendt, Charlotte & Benlian, Alexander, 2020. "Containing COVID-19 through physical distancing: the impact of real-time crowding information," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 122608, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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