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Air and HST Multimodal Products. A Segmentation Analysis for Policy Makers

Author

Listed:
  • Juan Gabriel Brida

    (Free University of Bozen-Bolzano
    Universidad de la República)

  • Juan Carlos Martín

    (University of Las Palmas de Gran Canaria
    North-West University)

  • Concepción Román

    (University of Las Palmas de Gran Canaria
    North-West University)

  • Raffaele Scuderi

    (University of Enna “Kore”)

Abstract

Different solutions for the integration of high-speed rail (HSR) and air transport could be implemented, ranging from very basic integration to more sophisticated systems that include ticket and handling integration. This paper uses two statistical techniques, name cluster analysis and discrete choice models in order to investigate how different market segments have a determining influence in being more proactive to change to HSR for the second leg in multimodal trips. A discrete choice experiment is conducted to better understand passengers’ preferences. We obtain a number of clusters and estimate flexible choice models, taking into account the panel nature of stated preference data. We obtain a range of willingness-to-pay values for service quality attributes, finding results that can be used to infer policy conclusions about the real attractiveness of the Air-HSR integrated alternative. In this respect, clusters and schedule coordination, which reduces connecting time, are crucial to explain HSR attractiveness.

Suggested Citation

  • Juan Gabriel Brida & Juan Carlos Martín & Concepción Román & Raffaele Scuderi, 2017. "Air and HST Multimodal Products. A Segmentation Analysis for Policy Makers," Networks and Spatial Economics, Springer, vol. 17(3), pages 911-934, September.
    • Handle: RePEc:kap:netspa:v:17:y:2017:i:3:d:10.1007_s11067-017-9352-3
    DOI: 10.1007/s11067-017-9352-3
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    3. Song, Fangqing & Hess, Stephane & Dekker, Thijs, 2018. "Accounting for the impact of variety-seeking: Theory and application to HSR-air intermodality in China," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 99-111.
    4. Hong, Seock-Jin & Najmi, Hossein, 2022. "Impact of High-speed rail on air travel demand between Dallas and Houston applying Monte Carlo simulation," Journal of Air Transport Management, Elsevier, vol. 102(C).
    5. Xia, Wenyi & Jiang, Changmin & Wang, Kun & Zhang, Anming, 2019. "Air-rail revenue sharing in a multi-airport system: Effects on traffic and social welfare," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 304-319.
    6. Avogadro, Nicolò & Cattaneo, Mattia & Paleari, Stefano & Redondi, Renato, 2021. "Replacing short-medium haul intra-European flights with high-speed rail: Impact on CO2 emissions and regional accessibility," Transport Policy, Elsevier, vol. 114(C), pages 25-39.
    7. Zhang, Yaoyu & Liu, Jin & Wang, Bo, 2022. "The impact of High-Speed Rails on urban expansion: An investigation using an SDID with dynamic effects method," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).

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