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Tri-reference-point framework for analyzing air-rail passenger airport access behaviour

Author

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  • Zou, Wenqian
  • Zheng, Yiming
  • Gao, Shengguo
  • Jiang, Yonglei

Abstract

This study introduces a tri-reference-point framework to analyze air-rail passengers' airport ground access behaviour, using advisory, earliest, and mandatory latest airport arrival times as key reference points. Leveraging revealed preference data from Dalian Airport in China, this model examines how deviations from instructive arrival timings, rather than total ground access time, influence passenger choices among available high-speed rail (HSR) options. Compared to the traditional multinomial logit (MNL) model, the proposed approach better captures these behaviours, showing that passengers prioritize timing relative to advisory intervals. This framework also provides insights into evaluating the suitability of HSR options for air-rail integrated services.

Suggested Citation

  • Zou, Wenqian & Zheng, Yiming & Gao, Shengguo & Jiang, Yonglei, 2025. "Tri-reference-point framework for analyzing air-rail passenger airport access behaviour," Journal of choice modelling, Elsevier, vol. 56(C).
  • Handle: RePEc:eee:eejocm:v:56:y:2025:i:c:s1755534525000284
    DOI: 10.1016/j.jocm.2025.100565
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. 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.
    3. Budd, Lucy & Ison, Stephen & Budd, Thomas, 2016. "Improving the environmental performance of airport surface access in the UK: The role of public transport," Research in Transportation Economics, Elsevier, vol. 59(C), pages 185-195.
    4. Zaidan, Esmat & Abulibdeh, Ammar, 2018. "Modeling ground access mode choice behavior for Hamad International Airport in the 2022 FIFA World Cup city, Doha, Qatar," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 32-45.
    5. Jou, Rong-Chang & Hensher, David A. & Hsu, Tzu-Lan, 2011. "Airport ground access mode choice behavior after the introduction of a new mode: A case study of Taoyuan International Airport in Taiwan," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(3), pages 371-381, May.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Jiang, Hong & Ren, Xinhui, 2019. "Model of passenger behavior choice under flight delay based on dynamic reference point," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 51-60.
    8. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Access to and competition between airports: a case study for the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 71-83, January.
    9. Chang, Yu-Chun, 2013. "Factors affecting airport access mode choice for elderly air passengers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 105-112.
    10. 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.
    11. Zheng Li & Alejandro Tirachini & David A. Hensher, 2012. "Embedding Risk Attitudes in a Scheduling Model: Application to the Study of Commuting Departure Time," Transportation Science, INFORMS, vol. 46(2), pages 170-188, May.
    12. Koster, Paul & Kroes, Eric & Verhoef, Erik, 2011. "Travel time variability and airport accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1545-1559.
    13. 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.
    14. Budd, Thomas & Ryley, Tim & Ison, Stephen, 2014. "Airport ground access and private car use: a segmentation analysis," Journal of Transport Geography, Elsevier, vol. 36(C), pages 106-115.
    15. Humphreys, Ian & Ison, Stephen & Francis, Graham & Aldridge, Kelly, 2005. "UK airport surface access targets," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 117-124.
    16. Jou, Rong-Chang & Kitamura, Ryuichi & Weng, Mei-Chuan & Chen, Chih-Cheng, 2008. "Dynamic commuter departure time choice under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(5), pages 774-783, June.
    17. Yi-Shih Chung & Szu-Yu Tu, 2021. "Tri-reference-point hypothesis development for airport ground access behaviors," Transportation, Springer, vol. 48(5), pages 2159-2185, October.
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