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Customer choice patterns in passenger rail competition

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  • Paha, Johannes
  • Rompf, Dirk
  • Warnecke, Christiane

Abstract

This study explores determinants of customer choice behaviour in passenger rail competition on two cross-border routes, Cologne–Brussels and Cologne–Amsterdam. It fills a gap in the literature on competition in commercial passenger rail by relying on newly collected stated preference data from about 700 on-train interviews. Our multinomial Logit estimations reveal two important effects that are closely connected to (psychological) switching costs. First, the customers on the route Cologne–Amsterdam, for whom competition is a purely hypothetical situation, value a competitive market structure lower than customers on the already competitive route Cologne–Brussels. Second, travellers show a status quo bias with a preference for the service provider on whose trains they were interviewed. This effect goes beyond the impact exercised by explanatory variables capturing the observable differences of the services and customers, including loyalty-enhancing effects like the possession of customer cards. Our results imply that entry into the commercial passenger rail market may be more difficult than often thought. Thus, the study contributes to explaining the low level of competition in these markets in Europe.

Suggested Citation

  • Paha, Johannes & Rompf, Dirk & Warnecke, Christiane, 2013. "Customer choice patterns in passenger rail competition," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 209-227.
  • Handle: RePEc:eee:transa:v:50:y:2013:i:c:p:209-227
    DOI: 10.1016/j.tra.2013.01.037
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    References listed on IDEAS

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    Cited by:

    1. Yen, Barbara T.H. & Mulley, Corinne & Tseng, Wen-Chun, 2018. "Inter-modal competition in an urbanised area: Heavy rail and busways," Research in Transportation Economics, Elsevier, vol. 69(C), pages 77-85.
    2. Miriam Krieger & Stefan Felder, 2013. "Can Decision Biases Improve Insurance Outcomes? An Experiment on Status Quo Bias in Health Insurance Choice," IJERPH, MDPI, vol. 10(6), pages 1-18, June.
    3. Li, Xiaowei & Tang, Junqing & Hu, Xiaojiao & Wang, Wei, 2020. "Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis," Journal of Transport Geography, Elsevier, vol. 86(C).
    4. Anciaes, Paulo & Metcalfe, Paul & Heywood, Chris & Sheldon, Rob, 2019. "The impact of fare complexity on rail demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 224-238.
    5. Grażyna Rosa, 2021. "Passenger Preferences in Rail Transport in Poland as Regards Travelling Time and Cost," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    6. Fröidh, Oskar & Nelldal, Bo-Lennart, 2015. "The impact of market opening on the supply of interregional train services," Journal of Transport Geography, Elsevier, vol. 46(C), pages 189-200.
    7. Feuerstein, Lisa & Busacker, Torsten & Xu, Jingjing, 2018. "Factors influencing open access competition in the European long-distance passenger rail transport — A Delphi study," Research in Transportation Economics, Elsevier, vol. 69(C), pages 300-309.
    8. Link, Heike, 2019. "The impact of including service quality into efficiency analysis: The case of franchising regional rail passenger serves in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 284-300.

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