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Estimation of travel time variability for cars, buses, metro and door-to-door public transport trips in Santiago, Chile

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  • Durán-Hormazábal, Elsa
  • Tirachini, Alejandro

Abstract

The analysis of travel time variability (TTV) is attracting attention among policy makers due to the increasing awareness that users assign a high value to level-of-service attributes. In this paper, the TTV of cars and public transport trips is analysed. We estimate the effect of each trip stage on the TTV for complete door-to-door public transport trips, including access, waiting, transfer and in-vehicle time. We employ data from Santiago, Chile, in which surveyors performed predetermined trips and recorded each stage on several days between 2007 and 2011, which were complemented by recorded bus GPS data. We found that (i) bus waiting and in-vehicle times are highly significant in explaining total (door-to-door) TTV relative to metro (subway) travel times, whereas walking time is not significant; (ii) metro travel time is generally more stable but may be more skewed compared with the travel time of buses on a segregated right-of-way; and (iii) buses that travel in mixed traffic have not only a larger mean travel time but also a larger variability than buses that travel in bus lanes and segregated busways. Formal cost-benefit analysis should consider the effect of (total or partial) segregation of public transport operation on reducing travel time variability.

Suggested Citation

  • Durán-Hormazábal, Elsa & Tirachini, Alejandro, 2016. "Estimation of travel time variability for cars, buses, metro and door-to-door public transport trips in Santiago, Chile," Research in Transportation Economics, Elsevier, vol. 59(C), pages 26-39.
  • Handle: RePEc:eee:retrec:v:59:y:2016:i:c:p:26-39
    DOI: 10.1016/j.retrec.2016.06.002
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    References listed on IDEAS

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    1. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    2. Lam, Terence C. & Small, Kenneth A., 0. "The value of time and reliability: measurement from a value pricing experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 231-251, April.
    3. Alejandro Tirachini & David Hensher & Michiel Bliemer, 2014. "Accounting for travel time variability in the optimal pricing of cars and buses," Transportation, Springer, vol. 41(5), pages 947-971, September.
    4. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    5. Small, Kenneth A., 2001. "The Value of Pricing," University of California Transportation Center, Working Papers qt0rm449sx, University of California Transportation Center.
    6. Chen, Xumei & Yu, Lei & Zhang, Yushi & Guo, Jifu, 2009. "Analyzing urban bus service reliability at the stop, route, and network levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 722-734, October.
    7. 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.
    8. Muñoz, Juan Carlos & Gschwender, Antonio, 2008. "Transantiago: A tale of two cities," Research in Transportation Economics, Elsevier, vol. 22(1), pages 45-53, January.
    9. Strathman, James G. & Hopper, Janet R., 1993. "Empirical analysis of bus transit on-time performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(2), pages 93-100, April.
    10. Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    11. van Lint, J.W.C. & van Zuylen, Henk J. & Tu, H., 2008. "Travel time unreliability on freeways: Why measures based on variance tell only half the story," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 258-277, January.
    12. W. Burke Jackson & James V. Jucker, 1982. "An Empirical Study of Travel Time Variability and Travel Choice Behavior," Transportation Science, INFORMS, vol. 16(4), pages 460-475, November.
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    Cited by:

    1. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    2. Nyaki Prosper S. & Bwire Hannibal & Mushule Nurdin K., 2020. "Travel Time Reliability of Bus Operation in Heterogeneous Traffic Conditions of Dar es Salaam City, Tanzania," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 11(2), pages 44-55, November.
    3. Abdallah Abuaisha & Sameer Abu-Eisheh, 2023. "Optimization of Urban Public Transportation Considering the Modal Fleet Size: A Case Study from Palestine," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    4. Badiola, Nicolás & Raveau, Sebastián & Galilea, Patricia, 2019. "Modelling preferences towards activities and their effect on departure time choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 39-51.
    5. Adrian Barchański & Renata Żochowska & Marcin Jacek Kłos, 2022. "A Method for the Identification of Critical Interstop Sections in Terms of Introducing Electric Buses in Public Transport," Energies, MDPI, vol. 15(20), pages 1-37, October.
    6. Martínez-Estupiñan, Yerly & Delgado, Felipe & Muñoz, Juan Carlos & Watkins, Kari E., 2023. "Improving the performance of headway control tools by using individual driving speed data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    7. Godachevich, Javiera & Tirachini, Alejandro, 2021. "Does the measured performance of bus operators depend on the index chosen to assess reliability in contracts? An analysis of bus headway variability," Research in Transportation Economics, Elsevier, vol. 90(C).

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    More about this item

    Keywords

    Travel time variability; Modal reliability; Waiting; Walking; Bus; Metro; Congestion;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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