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Estimating bus run times for new limited-stop service using archived AVL and APC data

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  • Tétreault, Paul R.
  • El-Geneidy, Ahmed M.

Abstract

In recent years, several transit agencies have been trying to be more competitive with the automobile to attract choice riders. Transit agencies can only be competitive if they can provide services that are reliable, have a short access and egress time, and have run times that are comparable to automobiles. Several transit agencies try to be competitive through offering faster service, such as limited-stop (express) bus service. This study uses AVL and APC data, in addition to a disaggregate data obtained from a travel behavior survey, to select stops and estimate run times for a new limited-stop service that will run parallel to a heavily used bus route (67 Saint-Michel) in Montréal, Canada. Three different scenarios are developed based on theory and practice to select stops to be incorporated in the new limited service. The time savings for each scenario are then evaluated as a range and a fourth scenario is developed. A limited-stop service is recommended based on selecting stops serving both directions of the route, major activity points and stop spacing. This study shows that implementing a limited-stop service would yield substantial time savings for both, the new limited service and the existing regular service running in parallel.

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  • Tétreault, Paul R. & El-Geneidy, Ahmed M., 2010. "Estimating bus run times for new limited-stop service using archived AVL and APC data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 390-402, July.
  • Handle: RePEc:eee:transa:v:44:y:2010:i:6:p:390-402
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    14. Mahmood Mahmoodi Nesheli & Siva Srikukenthiran & Amer Shalaby, 2022. "An optimization model for planning limited-stop transit operations," Public Transport, Springer, vol. 14(1), pages 63-83, March.
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    16. Diab, Ehab I. & El-Geneidy, Ahmed M., 2012. "Understanding the impacts of a combination of service improvement strategies on bus running time and passenger’s perception," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 614-625.
    17. Gang Cheng & Shuzhi Zhao & Tao Zhang, 2019. "A Bi-Level Programming Model for Optimal Bus Stop Spacing of a Bus Rapid Transit System," Mathematics, MDPI, vol. 7(7), pages 1-14, July.
    18. Parbo, Jens & Nielsen, Otto A. & Prato, Carlo G., 2018. "Reducing passengers’ travel time by optimising stopping patterns in a large-scale network: A case-study in the Copenhagen Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 197-212.
    19. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.
    20. Suman, Hemant & Larrain, Homero & Muñoz, Juan Carlos, 2021. "The impact of using a naïve approach in the limited-stop bus service design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 45-61.
    21. Cats, Oded, 2014. "Regularity-driven bus operation: Principles, implementation and business models," Transport Policy, Elsevier, vol. 36(C), pages 223-230.
    22. Chen, Jingxu & Liu, Zhiyuan & Zhu, Senlai & Wang, Wei, 2015. "Design of limited-stop bus service with capacity constraint and stochastic travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 1-15.
    23. Soto, Guillermo & Larrain, Homero & Muñoz, Juan Carlos, 2017. "A new solution framework for the limited-stop bus service design problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 67-85.

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