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Travel Time Variability---The Case of Two Public Modes

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  • M. A. P. Taylor

    (Commonwealth Scientific and Industrial Research Organization, Melbourne, Australia)

Abstract

The variability of travel times on a given route for a particular journey is known to be an important factor in influencing the choice of mode and route for trips, particularly for those trip types where constraints may exist on arrival time at the destination. Previous work in this area has concentrated on daily variability for journeys by private car. This paper describes some results obtained from a study of travel time reliability for a work trip using two alternative and directly comparable public transport modes, bus and underground rail (metro), in Paris, France. Data were collected to permit the study of the distributions of variations in daily travel times, relationships between measures of variation and congestion, and to compare the characteristics of the two modes. It was found, for instance, that while the bus offered a potentially quicker and more direct service in terms of its free travel time and route location, in practice the metro provided a faster and more reliable service under normal operating conditions. The results of the study confirm and extend earlier work, and some areas for further research are suggested.

Suggested Citation

  • M. A. P. Taylor, 1982. "Travel Time Variability---The Case of Two Public Modes," Transportation Science, INFORMS, vol. 16(4), pages 507-521, November.
    • Handle: RePEc:inm:ortrsc:v:16:y:1982:i:4:p:507-521
    DOI: 10.1287/trsc.16.4.507
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    Cited by:

    1. Zhi-Chun Li & William Lam & S. Wong, 2009. "The Optimal Transit Fare Structure under Different Market Regimes with Uncertainty in the Network," Networks and Spatial Economics, Springer, vol. 9(2), pages 191-216, June.
    2. Toledo, Tomer & Cats , Oded & Burghout, Wilco & Koutsopoulos , Haris N., 2013. "Mesoscopic simulation for transit operations," Working papers in Transport Economics 2013:29, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    3. Hazelton, Martin L., 1998. "Some Remarks on Stochastic User Equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 32(2), pages 101-108, February.
    4. Kim, Jiwon & Mahmassani, Hani S., 2015. "Compound Gamma representation for modeling travel time variability in a traffic network," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 40-63.
    5. Michael Taylor & Somenahalli Sekhar & Glen D'Este, 2006. "Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks," Networks and Spatial Economics, Springer, vol. 6(3), pages 267-291, September.
    6. Zhi-Chun Li & William Lam & S. Wong & Hai-Jun Huang & Dao-Li Zhu, 2008. "Reliability Evaluation for Stochastic and Time-dependent Networks with Multiple Parking Facilities," Networks and Spatial Economics, Springer, vol. 8(4), pages 355-381, December.

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