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Measuring the willingness-to-pay of air-rail intermodal passengers

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  • Chiambaretto, Paul
  • Baudelaire, Clément
  • Lavril, Thibaut

Abstract

This paper measures the willingness-to-pay of passengers for air-rail intermodal products. Several studies have been conducted in Europe to identify ways of improvement for a wider use of air-rail intermodal products. Different solutions have been considered including luggage through-handling, coordination of timetables, and compensation for delay, but the question of their price was not addressed. Using a conjoint analysis, we measure the willingness to pay of intermodal passengers for different versions of intermodal services. We find differences in the reservation prices of passengers according to several socio-demographic characteristics and infer some managerial implications.

Suggested Citation

  • Chiambaretto, Paul & Baudelaire, Clément & Lavril, Thibaut, 2013. "Measuring the willingness-to-pay of air-rail intermodal passengers," Journal of Air Transport Management, Elsevier, vol. 26(C), pages 50-54.
    • Handle: RePEc:eee:jaitra:v:26:y:2013:i:c:p:50-54
    DOI: 10.1016/j.jairtraman.2012.10.003
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    References listed on IDEAS

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    1. Chiambaretto, Paul & Decker, Christopher, 2012. "Air–rail intermodal agreements: Balancing the competition and environmental effects," Journal of Air Transport Management, Elsevier, vol. 23(C), pages 36-40.
    2. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
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    Cited by:

    1. Fabian Gabelberger, 2017. "Konkurrenz und Kooperation von Hochgeschwindigkeitsverkehr auf der Schiene und Flugverkehr. Intermodales Reisen in Europa und Perspektiven für Österreich," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(3), pages 193-204, March.
    2. Yuan, Yalong & Yang, Min & Feng, Tao & Rasouli, Soora & Li, Dawei & Ruan, Xinpei, 2021. "Heterogeneity in passenger satisfaction with air-rail integration services: Results of a finite mixture partial least squares model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 133-158.
    3. Merkert, Rico & Bushell, James & Beck, Matthew J., 2020. "Collaboration as a service (CaaS) to fully integrate public transportation – Lessons from long distance travel to reimagine mobility as a service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 267-282.
    4. Takebayashi, Mikio & Yamaguchi, Hiromichi, 2022. "Managing a multiple-gateway airport system with super high-speed rail," Journal of Air Transport Management, Elsevier, vol. 99(C).
    5. Kuo, Chung-Wei & Jou, Rong-Chang, 2017. "Willingness to pay for airlines’ premium economy class: The perspective of passengers," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 134-142.
    6. Kuo, Chung-Wei & Jou, Rong-Chang, 2018. "Air passengers’ willingness to pay for counter check-in services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 203-215.
    7. Ting Liu & Gabriel Lodewijks, 2021. "A New Design of Sydney’s Frontport Check-in System," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
    8. Danica Babić & Milica Kalić & Milan Janić & Slavica Dožić & Katarina Kukić, 2022. "Integrated Door-to-Door Transport Services for Air Passengers: From Intermodality to Multimodality," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    9. Yang, Min & Wang, Zheyuan & Cheng, Long & Chen, Enhui, 2022. "Exploring satisfaction with air-HSR intermodal services: A Bayesian network analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 69-89.
    10. Chiambaretto, Paul, 2021. "Air passengers’ willingness to pay for ancillary services on long-haul flights," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    11. Yuan, Yalong & Yang, Min & Feng, Tao & Ma, Yafeng & Ren, Yifeng & Ruan, Xinpei, 2022. "Heterogeneity in the transfer time of air-rail intermodal passengers based on ticket booking data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 533-552.
    12. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.

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