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Effect of information contagion during train service disruption for an integrated rail-bus transit system

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  • Wen Hua

    (National University of Singapore)

  • Ghim Ping Ong

    (National University of Singapore)

Abstract

Disruption in urban rail services can severely affect passengers’ daily travel activities. Transit agencies and operators, besides providing reliable urban transit services and maintaining rail infrastructures, are also interested in developing effective and efficient disruption management strategies. This paper investigates the effect of information provision and contagion under train service disruption for typical disruption management strategies adopted by transit operators. A dynamic modelling framework is proposed for flow assignment within an integrated rail-bus transit network. Information-based user equilibrium, time-dependent line station waiting time estimation, and dynamic optimal travel path generation are integrated into the network loading procedure. A case study based on the Singapore public transit network is presented. Passenger evolution at selected bus stops around the disrupted train stations, the average time loss and the behavior of mode switch are analyzed under different levels of passenger information awareness. The computational results show the influence of information penetration rate and spread speed on the network performance and demonstrate the crucial role of information awareness in passengers’ travel behaviors during disruption. It also shows that our proposed methodology can comprehensively model the train service disruption in terms of the passenger behaviors, the disruption information contagion mechanism and the disruption effects, which support the public transit agencies to evaluate the system performance based on different information provision plans in order to enhance the disruption management.

Suggested Citation

  • Wen Hua & Ghim Ping Ong, 2018. "Effect of information contagion during train service disruption for an integrated rail-bus transit system," Public Transport, Springer, vol. 10(3), pages 571-594, December.
    • Handle: RePEc:spr:pubtra:v:10:y:2018:i:3:d:10.1007_s12469-018-0192-4
    DOI: 10.1007/s12469-018-0192-4
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    References listed on IDEAS

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    1. Jin, Jian Gang & Lu, Linjun & Sun, Lijun & Yin, Jingbo, 2015. "Optimal allocation of protective resources in urban rail transit networks against intentional attacks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 84(C), pages 73-87.
    2. Grotenhuis, Jan-Willem & Wiegmans, Bart W. & Rietveld, Piet, 2007. "The desired quality of integrated multimodal travel information in public transport: Customer needs for time and effort savings," Transport Policy, Elsevier, vol. 14(1), pages 27-38, January.
    3. 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.
    4. Hamdouch, Younes & Lawphongpanich, Siriphong, 2008. "Schedule-based transit assignment model with travel strategies and capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 663-684, August.
    5. Cepeda, M. & Cominetti, R. & Florian, M., 2006. "A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 40(6), pages 437-459, July.
    6. 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.
    7. Alexander Kiefer & Stefanie Kritzinger & Karl F. Doerner, 2016. "Disruption management for the Viennese public transport provider," Public Transport, Springer, vol. 8(2), pages 161-183, September.
    8. Poon, M. H. & Wong, S. C. & Tong, C. O., 2004. "A dynamic schedule-based model for congested transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 38(4), pages 343-368, May.
    9. Lam, W. H. K. & Gao, Z. Y. & Chan, K. S. & Yang, H., 1999. "A stochastic user equilibrium assignment model for congested transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(5), pages 351-368, June.
    10. Cats, Oded & Jenelius, Erik, 2015. "Planning for the unexpected: The value of reserve capacity for public transport network robustness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 47-61.
    11. Carlos F. Daganzo & Yosef Sheffi, 1977. "On Stochastic Models of Traffic Assignment," Transportation Science, INFORMS, vol. 11(3), pages 253-274, August.
    12. Tong, C.O. & Wong, S.C., 1998. "A stochastic transit assignment model using a dynamic schedule-based network," Transportation Research Part B: Methodological, Elsevier, vol. 33(2), pages 107-121, April.
    13. Nadjla Ghaemi & Oded Cats & Rob M. P. Goverde, 2017. "Railway disruption management challenges and possible solution directions," Public Transport, Springer, vol. 9(1), pages 343-364, July.
    14. 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.
    15. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    16. Haghani, Ali & Oh, Sei-Chang, 1996. "Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(3), pages 231-250, May.
    17. 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.
    18. Siva Srikukenthiran & Amer Shalaby, 2017. "Enabling large-scale transit microsimulation for disruption response support using the Nexus platform," Public Transport, Springer, vol. 9(1), pages 411-435, July.
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    Cited by:

    1. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
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    3. Joshua Auld & Hubert Ley & Omer Verbas & Nima Golshani & Josiane Bechara & Angela Fontes, 2020. "A stated-preference intercept survey of transit-rider response to service disruptions," Public Transport, Springer, vol. 12(3), pages 557-585, October.
    4. Åse Jevinger & Jan A. Persson, 2019. "Exploring the potential of using real-time traveler data in public transport disturbance management," Public Transport, Springer, vol. 11(2), pages 413-441, August.

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