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Evaluation of bus bridging scenarios for railway service disruption management: a users’ delay modelling tool

Author

Listed:
  • Aya Aboudina

    (Cairo University
    University of Toronto)

  • Alaa Itani

    (University of Toronto)

  • Ehab Diab

    (University of Toronto
    University of Saskatchewan)

  • Siva Srikukenthiran

    (University of Toronto)

  • Amer Shalaby

    (University of Toronto)

Abstract

Unexpected transit service disruptions degrade the quality of service provided to the public. Bus bridging is considered a key response strategy used to handle metro service interruptions, where buses are retracted from scheduled services and deployed to offer shuttle services along disrupted segments. Most transit agencies rely on ad-hoc approaches (based on experience) to determine which buses should be dispatched from the scheduled services, with little (or no) consideration of the impacts on users’ delays. This paper presents a practical tool to estimate the total users’ delay associated with a user-specified bus bridging plan. The tool is based on deterministic queueing theory. The total delay is composed of two components; direct delays of affected metro passengers along the disrupted segment and indirect delays of bus riders on the routes from which shuttle buses are dispatched. The tool utilizes several input data, including travel times, train load information, boarding and alighting passenger counts, bus frequencies, and routes’ cycle times. It provides transit practitioners and operational managers with a valuable instrument for evaluating different bus bridging scenarios. A case study of the transit network in Toronto is used to illustrate the tool’s functionality.

Suggested Citation

  • Aya Aboudina & Alaa Itani & Ehab Diab & Siva Srikukenthiran & Amer Shalaby, 2021. "Evaluation of bus bridging scenarios for railway service disruption management: a users’ delay modelling tool," Public Transport, Springer, vol. 13(3), pages 457-481, October.
    • Handle: RePEc:spr:pubtra:v:13:y:2021:i:3:d:10.1007_s12469-020-00238-w
    DOI: 10.1007/s12469-020-00238-w
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    References listed on IDEAS

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    1. 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.
    2. Cats, O., 2016. "The robustness value of public transport development plans," Journal of Transport Geography, Elsevier, vol. 51(C), pages 236-246.
    3. Jian Gang Jin & Kwong Meng Teo & Amedeo R. Odoni, 2016. "Optimizing Bus Bridging Services in Response to Disruptions of Urban Transit Rail Networks," Transportation Science, INFORMS, vol. 50(3), pages 790-804, August.
    4. Robert B. Noland & John W. Polak, 2002. "Travel time variability: A review of theoretical and empirical issues," Transport Reviews, Taylor & Francis Journals, vol. 22(1), pages 39-54, January.
    5. Ehab I. Diab & Madhav G. Badami & Ahmed M. El-Geneidy, 2015. "Bus Transit Service Reliability and Improvement Strategies: Integrating the Perspectives of Passengers and Transit Agencies in North America," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 292-328, May.
    6. Bates, John & Polak, John & Jones, Peter & Cook, Andrew, 0. "The valuation of reliability for personal travel," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 191-229, April.
    7. 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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