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Disruption management for the Viennese public transport provider

Author

Listed:
  • Alexander Kiefer

    (University of Vienna)

  • Stefanie Kritzinger

    (Johannes Kepler University Linz)

  • Karl F. Doerner

    (University of Vienna)

Abstract

The paper deals with disruptions of a public transport system. Due to the growing population in most cities, a well functioning transport system and the management of possible disruptions becomes increasingly important. In our research, we mainly focus on severe breakdowns that involve a significant amount of planning. The proposed mixed integer linear programming model is able to handle an arbitrary number of transport modes, e.g., subway, tram, and bus. The main objective of the model is to provide sufficient capacity on all edges of the network in order to satisfy the passengers’ demand. Therefore, some lines may require to be re-planned or additional lines may have to be established to substitute distorted parts of the infrastructure. The newly implemented lines receive vehicles from operating lines, as vehicles have to be provided quickly in case of a disruption. The model is tested on two cases of the Viennese public transport system, which are solved via CPLEX.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:pubtra:v:8:y:2016:i:2:d:10.1007_s12469-016-0123-1
    DOI: 10.1007/s12469-016-0123-1
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    References listed on IDEAS

    as
    1. Guihaire, Valérie & Hao, Jin-Kao, 2008. "Transit network design and scheduling: A global review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1251-1273, December.
    2. Jin, Jian Gang & Tang, Loon Ching & Sun, Lijun & Lee, Der-Horng, 2014. "Enhancing metro network resilience via localized integration with bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 17-30.
    3. Ceder, Avishai & Wilson, Nigel H. M., 1986. "Bus network design," Transportation Research Part B: Methodological, Elsevier, vol. 20(4), pages 331-344, August.
    Full references (including those not matched with items on IDEAS)

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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.
    2. Biao Yuan & Zhibin Jiang, 2017. "Disruption Management for the Real-Time Home Caregiver Scheduling and Routing Problem," Sustainability, MDPI, vol. 9(12), pages 1-15, November.
    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. 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.
    5. 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.
    6. Karl F. Doerner & Richard F. Hartl, 2018. "Comments on: Disruption management in vehicle routing and scheduling for road freight transport: a review," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(1), pages 21-24, April.
    7. Federico Malucelli & Emanuele Tresoldi, 2019. "Delay and disruption management in local public transportation via real-time vehicle and crew re-scheduling: a case study," Public Transport, Springer, vol. 11(1), pages 1-25, June.
    8. David Schmaranzer & Roland Braune & Karl F. Doerner, 2020. "Population-based simulation optimization for urban mass rapid transit networks," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 767-805, December.

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