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The role of information availability to passengers in public transport disruptions: An agent-based simulation approach

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  • Leng, Nuannuan
  • Corman, Francesco

Abstract

In public transport disruptions, a key relation between the services of operating company and passengers’ satisfaction is the disseminated information. This paper proposes rigorous mathematical descriptions to describe the effects of information availability to passengers, including the user equilibrium and non-equilibrium solutions. The information availability in disruption is summarised in a “who-when-where-what” four-dimensional framework. Based on different information, passengers’ behaviours are assumed and simulated to evaluate the benefits of information availability in public transport disruption. An agent-based micro-simulation model (MATSim) is applied for the city of Zürich, Switzerland, for the benefit of activity-based simulation in a multi-modal network. We use an existing day-to-day replanning method, and extend the study with a within-day replanning approach in MATSim, to study agents’ route choices responding to public transport disruption in one single iteration. The disruption is assumed as a rail track blockage between Zürich HB and Zürich Oerlikon via both Zürich Wipkingen and Zürich Hardbrücke. One benchmark of agents’ behaviours without disruption and other three scenarios based on different information are simulated. Statistic results are analysed for all the agents who may be involved in the defined disruption. Agents’ flow in related transit routes and transport modes shows their adaptations to the corresponding information availability. Agents’ delays and scores reveal that information significantly impacts agents’ satisfaction in public transport disruption.

Suggested Citation

  • Leng, Nuannuan & Corman, Francesco, 2020. "The role of information availability to passengers in public transport disruptions: An agent-based simulation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 214-236.
  • Handle: RePEc:eee:transa:v:133:y:2020:i:c:p:214-236
    DOI: 10.1016/j.tra.2020.01.007
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    1. Brendan Pender & Graham Currie & Alexa Delbosc & Nirajan Shiwakoti, 2014. "Social Media Use during Unplanned Transit Network Disruptions: A Review of Literature," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 501-521, July.
    2. Lois, David & Monzón, Andrés & Hernández, Sara, 2018. "Analysis of satisfaction factors at urban transport interchanges: Measuring travellers’ attitudes to information, security and waiting," Transport Policy, Elsevier, vol. 67(C), pages 49-56.
    3. Poulopoulou, Maria & Spyropoulou, Ioanna, 2019. "Active traffic management in urban areas: Is it effective for professional drivers? The case of variable message signs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 412-423.
    4. Jeremy D. Shires & Manuel Ojeda-Cabral & Mark Wardman, 2019. "The impact of planned disruptions on rail passenger demand," Transportation, Springer, vol. 46(5), pages 1807-1837, October.
    5. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    6. Zanni, Alberto M. & Ryley, Tim J., 2015. "The impact of extreme weather conditions on long distance travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 305-319.
    7. Leo Kroon & Gábor Maróti & Lars Nielsen, 2015. "Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows," Transportation Science, INFORMS, vol. 49(2), pages 165-184, May.
    8. David Charypar & Kai Nagel, 2005. "Generating complete all-day activity plans with genetic algorithms," Transportation, Springer, vol. 32(4), pages 369-397, July.
    9. Cats, O. & Yap, M. & van Oort, N., 2016. "Exposing the role of exposure: Public transport network risk analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 1-14.
    10. Loo, Becky P.Y. & Leung, Kevin Y.K., 2017. "Transport resilience: The Occupy Central Movement in Hong Kong from another perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 100-115.
    11. Mark D. Hickman & David H. Bernstein, 1997. "Transit Service and Path Choice Models in Stochastic and Time-Dependent Networks," Transportation Science, INFORMS, vol. 31(2), pages 129-146, May.
    12. Han, Qi & Arentze, Theo & Timmermans, Harry & Janssens, Davy & Wets, Geert, 2011. "The effects of social networks on choice set dynamics: Results of numerical simulations using an agent-based approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 310-322, May.
    13. Malandri, Caterina & Fonzone, Achille & Cats, Oded, 2018. "Recovery time and propagation effects of passenger transport disruptions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 7-17.
    14. Dziekan, Katrin & Kottenhoff, Karl, 2007. "Dynamic at-stop real-time information displays for public transport: effects on customers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 489-501, July.
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