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Intermodal Competition in The London-Paris Passenger Market: High-Speed Rail and Air Transport

Author

Listed:
  • Christiaan Behrens

    (VU University Amsterdam)

  • Eric Pels

    (VU University Amsterdam)

Abstract

This discussion paper has led to a publication in Journal of Urban Economics , 71(3), 278-88. This paper studies inter- and intramodal competition in the London-Paris passenger market. Using revealed preference data, we estimate nested and mixed multinomial logit models to examine passenger behaviour in the London-Paris market. We present a case study on the relocation of Eurostar services from Waterloo International to St Pancras International station. The results show that competition is present in this market. Demand is elastic, and passengers are heterogeneous in their valuation of fares and accessibility. Aviation and high-speed rail are homogenous in unobserved effects. The large market share of the Eurostar and the withdrawal of aviation alternatives indicate that competition will decline in the long-run.

Suggested Citation

  • Christiaan Behrens & Eric Pels, 2009. "Intermodal Competition in The London-Paris Passenger Market: High-Speed Rail and Air Transport," Tinbergen Institute Discussion Papers 09-051/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20090051
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    References listed on IDEAS

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    1. Stephane Hess, 2005. "Analysing air-travel choice behaviour in the Greater London area," ERSA conference papers ersa05p736, European Regional Science Association.
    2. Mandel, Benedikt & Gaudry, Marc & Rothengatter, Werner, 1994. "Linear or nonlinear utility functions in logit models? The impact on German high-speed rail demand forecasts," Transportation Research Part B: Methodological, Elsevier, vol. 28(2), pages 91-101, April.
    3. Suzuki, Yoshinori, 2007. "Modeling and testing the "two-step" decision process of travelers in airport and airline choices," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(1), pages 1-20, January.
    4. Ivaldi, Marc & Vibes, Catherine, 2005. "Intermodal and Intramodal Competition in Passenger Rail Transport," IDEI Working Papers 345, Institut d'Économie Industrielle (IDEI), Toulouse.
    5. Ortúzar, Juan de Dios & Simonetti, Carolina, 2008. "Modelling the demand for medium distance air travel with the mixed data estimation method," Journal of Air Transport Management, Elsevier, vol. 14(6), pages 297-303.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    7. Hess, Stephane & Polak, John W., 2005. "Mixed logit modelling of airport choice in multi-airport regions," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 59-68.
    8. Koppelman, Frank S. & Wen, Chieh-Hua, 2000. "The paired combinatorial logit model: properties, estimation and application," Transportation Research Part B: Methodological, Elsevier, vol. 34(2), pages 75-89, February.
    9. Ishii, Jun & Jun, Sunyoung & Van Dender, Kurt, 2009. "Air travel choices in multi-airport markets," Journal of Urban Economics, Elsevier, vol. 65(2), pages 216-227, March.
    10. Brooke, A.S. & Caves, R.E. & Pitfield, D.E., 1994. "Methodology for predicting European short-haul air transport demand from regional airports," Journal of Air Transport Management, Elsevier, vol. 1(1), pages 37-46.
    11. Bhat, Chandra R., 1997. "Covariance heterogeneity in nested logit models: Econometric structure and application to intercity travel," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 11-21, February.
    12. Starkie, David, 2002. "Airport regulation and competition," Journal of Air Transport Management, Elsevier, vol. 8(1), pages 63-72.
    13. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2000. "Airport and Airline Competition for Passengers Departing from a Large Metropolitan Area," Journal of Urban Economics, Elsevier, vol. 48(1), pages 29-45, July.
    14. Park, Yonghwa & Ha, Hun-Koo, 2006. "Analysis of the impact of high-speed railroad service on air transport demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 95-104, March.
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    Cited by:

    1. Delaplace, Marie & Dobruszkes, Frédéric, 2015. "From low-cost airlines to low-cost high-speed rail? The French case," Transport Policy, Elsevier, vol. 38(C), pages 73-85.
    2. Ofelia Betancor & Juan Luis Jiménez, 2011. "When trains go faster than planes: the strategic reaction of airlines in Spain," ERSA conference papers ersa11p295, European Regional Science Association.
    3. Gundelfinger-Casar, Javier & Coto-Millán, Pablo, 2017. "Intermodal competition between high-speed rail and air transport in Spain," Utilities Policy, Elsevier, vol. 47(C), pages 12-17.

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    More about this item

    Keywords

    inter- and intramodal competition; nested logit; mixed logit; aviation; rail;
    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

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