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Seamless air-HSR intermodal solution: Behavioural model-based scheduling of airline timetable and airfare

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  • Huan, Ning
  • Yamamoto, Toshiyuki
  • Yao, Enjian

Abstract

Empirical experience of air and high-speed rail (HSR) cooperation in Europe and China indicates that seamless intermodal connections are crucial for expanding air-HSR integration services’ market share, particularly in long-haul travel. Given that substantial practical obstacles impede the integrated scheduling of air and HSR systems, adapting oneself to the former competitor is of great practical value but remains largely underexplored. This paper presents a method for improving synchronous operations of air and HSR by unilaterally scheduling airline timetable and airfare, which is an attempt to facilitate air-HSR cooperation to an advanced level of operational integration. Accordingly, a stated preference survey was conducted in the Beijing-Tianjin-Hebei mega-city region to uncover traveller preferences for air-HSR integration services (AHISs) in the airport cluster context based on discrete choice modelling. Using behavioural models as travel demand assignment criteria, an on-demand scheduling model is developed to maximise the total revenue of air transport involved in AHISs. The empirical case investigates AHISs from Beijing to twenty domestic cities via Shijiazhuang Zhengding International Airport. The results show that the optimal scheduling solution decreases air-HSR connection time by a maximum of 41.83% and highlights the necessity of providing efficient shuttle systems, baggage through-check and flexible ticket services to enhance intermodal product appeal. Additionally, incorporating an airfare adjustment mechanism into timetable scheduling is proven supportive of increasing air transport’s revenue up to 16.44% while promoting seamless AHISs, thereby ensuring practical motivation for AHIS upgrades.

Suggested Citation

  • Huan, Ning & Yamamoto, Toshiyuki & Yao, Enjian, 2023. "Seamless air-HSR intermodal solution: Behavioural model-based scheduling of airline timetable and airfare," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:transa:v:176:y:2023:i:c:s0965856423002410
    DOI: 10.1016/j.tra.2023.103821
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    1. Dobruszkes, Frédéric & Dehon, Catherine & Givoni, Moshe, 2014. "Does European high-speed rail affect the current level of air services? An EU-wide analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 461-475.
    2. 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.
    3. 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.
    4. Xia, Wenyi & Zhang, Anming, 2016. "High-speed rail and air transport competition and cooperation: A vertical differentiation approach," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 456-481.
    5. Gao, Yi, 2021. "What is the busiest time at an airport? Clustering U.S. hub airports based on passenger movements," Journal of Transport Geography, Elsevier, vol. 90(C).
    6. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    7. Bergantino, Angela Stefania & Madio, Leonardo, 2020. "Intermodal competition and substitution. HSR versus air transport: Understanding the socio-economic determinants of modal choice," Research in Transportation Economics, Elsevier, vol. 79(C).
    8. Yang, Hangjun & Zhang, Anming, 2012. "Effects of high-speed rail and air transport competition on prices, profits and welfare," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1322-1333.
    9. 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.
    10. Hess, Stephane & Adler, Thomas & Polak, John W., 2007. "Modelling airport and airline choice behaviour with the use of stated preference survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(3), pages 221-233, May.
    11. Jiang, Changmin & Zhang, Anming, 2016. "Airline network choice and market coverage under high-speed rail competition," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 248-260.
    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.
    13. Wang, Kun & Gong, Qiang & Fu, Xiaowen & Fan, Xingli, 2014. "Frequency and aircraft size dynamics in a concentrated growth market: The case of the Chinese domestic market," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 50-58.
    14. Hess, Stephane & Rose, John M. & Hensher, David A., 2008. "Asymmetric preference formation in willingness to pay estimates in discrete choice models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 847-863, September.
    15. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    16. Vespermann, Jan & Wald, Andreas, 2011. "Intermodal integration in air transportation: status quo, motives and future developments," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1187-1197.
    17. Zhang, Yahua & Wang, Kun & Fu, Xiaowen, 2017. "Air transport services in regional Australia: Demand pattern, frequency choice and airport entry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 472-489.
    18. Keji Wei & Vikrant Vaze, 2020. "Airline Timetable Development and Fleet Assignment Incorporating Passenger Choice," Transportation Science, INFORMS, vol. 54(1), pages 139-163, January.
    19. Frédéric Dobruszkes, 2011. "High-speed rail and air transport competition in Western Europe: A supply-oriented perspective," ULB Institutional Repository 2013/96164, ULB -- Universite Libre de Bruxelles.
    20. Givoni, Moshe & Banister, David, 2006. "Airline and railway integration," Transport Policy, Elsevier, vol. 13(5), pages 386-397, September.
    21. Hess, Stephane & Spitz, Greg & Bradley, Mark & Coogan, Matt, 2018. "Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 547-567.
    22. 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.
    23. Capurso, Mauro & Hess, Stephane & Dekker, Thijs, 2019. "Modelling the role of consideration of alternatives in mode choice: An application on the Rome-Milan corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 170-184.
    24. Albalate, Daniel & Bel, Germà & Fageda, Xavier, 2015. "Competition and cooperation between high-speed rail and air transportation services in Europe," Journal of Transport Geography, Elsevier, vol. 42(C), pages 166-174.
    25. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    26. Pitfield, D.E. & Caves, R.E. & Quddus, M.A., 2010. "Airline strategies for aircraft size and airline frequency with changing demand and competition: A simultaneous-equations approach for traffic on the north Atlantic," Journal of Air Transport Management, Elsevier, vol. 16(3), pages 151-158.
    27. 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.
    28. 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.
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