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Travel-time reliability impacts on railway passenger demand: a revealed preference analysis

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  • van Loon, Ruben
  • Rietveld, Piet
  • Brons, Martijn

Abstract

We study the impact of travel-time reliability on trips made by railway passengers. Unlike most of the studies in this area, which make use of stated preference survey data, we use a revealed preference data set obtained by measuring the railway reliability and the number of season-ticket holders on the Dutch railway network. We make use of six travel-time reliability indicators, including the standard deviation and the 80th minus the 50th percentile of travel time. Our results indicate that the 80th minus the 50th percentile indicator best explains the fluctuations in the number of season-ticket holders. A 10% improvement of this indicator results in a 1.47% increase in the number of season-ticket holders.

Suggested Citation

  • van Loon, Ruben & Rietveld, Piet & Brons, Martijn, 2011. "Travel-time reliability impacts on railway passenger demand: a revealed preference analysis," Journal of Transport Geography, Elsevier, vol. 19(4), pages 917-925.
    • Handle: RePEc:eee:jotrge:v:19:y:2011:i:4:p:917-925
    DOI: 10.1016/j.jtrangeo.2010.11.009
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    References listed on IDEAS

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    8. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
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    10. Yeh, Cheng-Ta & Lin, Yi-Kuei & Yeng, Louis Cheng-Lu & Huang, Pei-Tzu, 2021. "Reliability evaluation of a multistate railway transportation network from the perspective of a travel agent," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    11. Gurmesh Sihag & Praveen Kumar & Manoranjan Parida, 2023. "Development of a Machine-Learning-Based Novel Framework for Travel Time Distribution Determination Using Probe Vehicle Data," Data, MDPI, vol. 8(3), pages 1-18, March.
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