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Analysing air-travel choice behaviour in the Greater London area

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  • Stephane Hess

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Abstract

The analysis of air-passengersÂ’ choices of departure airport in multi-airport regions is a crucial component of transportation planning in many large metropolitan areas, and has been the topic of an increasing number of studies over recent years. In this paper, we advance the state of the art of modelling in this area of research by making use of a Cross-Nested Logit (CNL) structure that allows for the joint representation of inter-alternative correlation along the three choice dimensions of airport, airline and access-mode. The analysis uses data collected in the greater London area, which arguably has the highest levels of inter-airport competition of any multi-airport region; the authors of this paper are not aware of any previous effort to jointly analyse the choice of airport, airline and access-mode in this area. The results of the analysis reveal significant influences on passenger behaviour by access-time, access-cost, flight-frequency and flight-time. A structural comparison of the different models shows that the cross-nested structure offers significant improvements over simple Nested Logit (NL) models, which in turn outperform the Multinomial Logit (MNL) model used as the base model.

Suggested Citation

  • Stephane Hess, 2005. "Analysing air-travel choice behaviour in the Greater London area," ERSA conference papers ersa05p736, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa05p736
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    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/736.pdf
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    References listed on IDEAS

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    1. Eric Pels & Peter Nijkamp & Piet Rietveld, 2001. "Airport and Airline Choice in a Multiple Airport Region: An Empirical Analysis for the San Francisco Bay Area," Regional Studies, Taylor & Francis Journals, vol. 35(1), pages 1-9.
    2. Basar, Gözen & Bhat, Chandra, 2004. "A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 889-904, December.
    3. H C W L Williams, 1977. "On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit," Environment and Planning A, , vol. 9(3), pages 285-344, March.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, June.
    5. Daniel McFadden, 1977. "Modelling the Choice of Residential Location," Cowles Foundation Discussion Papers 477, Cowles Foundation for Research in Economics, Yale University.
    6. 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.
    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.
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    Cited by:

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    2. Fu, Qian & Kim, Amy M., 2016. "Supply-and-demand models for exploring relationships between smaller airports and neighboring hub airports in the U.S," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 67-79.

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