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Modelling the effects of capacity constraints on air travellers’ airport choice

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  • Gelhausen, Marc C.

Abstract

This paper analyses the effects of limited capacity on air travellers’ airport choice. The analysis is based on a market-segment specific airport choice model that accounts for limited capacities. The region of Stuttgart in Germany serves as a case study to examine the impact of limited airport capacity on air travellers’ airport choice. Air travellers’ choice depends on the supply of flights and accessibility of the airports in their choice set as well as on their preferences and willingness-to-pay. To elaborate the effects of limited airport capacity, scenarios relating to the capacity situation at airports serving the air travel demand of the Stuttgart region are analysed. This paper reveals the mutual dependence among airports. Capacity constraints at one airport cause spill-over effects and thus influence air travel demand served at other airports. In some cases this may even lead to new capacity constraints elsewhere.

Suggested Citation

  • Gelhausen, Marc C., 2011. "Modelling the effects of capacity constraints on air travellers’ airport choice," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 116-119.
  • Handle: RePEc:eee:jaitra:v:17:y:2011:i:2:p:116-119
    DOI: 10.1016/j.jairtraman.2010.11.004
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    References listed on IDEAS

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    1. Wilken, Dieter & Berster, Peter & Gelhausen, Marc Christopher, 2005. "Airport Choice in Germany - New Empirical Evidence of the German Air Traveller Survey 2003," MPRA Paper 5631, University Library of Munich, Germany.
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    Cited by:

    1. Adler, Nicole & Liebert, Vanessa & Yazhemsky, Ekaterina, 2013. "Benchmarking airports from a managerial perspective," Omega, Elsevier, vol. 41(2), pages 442-458.
    2. Gudmundsson, Sveinn & Paleari, Stefano & Redondi, Renato, 2014. "Spillover effects of the development constraints in London Heathrow Airport," Journal of Transport Geography, Elsevier, vol. 35(C), pages 64-74.
    3. Gelhausen, Marc C. & Berster, Peter & Wilken, Dieter, 2018. "A new direct demand model of long-term forecasting air passengers and air transport movements at German airports," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 140-152.
    4. Anil Yazici, M. & Kamga, Camille & Singhal, Abhishek, 2016. "Modeling taxi drivers’ decisions for improving airport ground access: John F. Kennedy airport case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 48-60.
    5. Adler, Nicole & Yazhemsky, Ekaterina, 2018. "The value of a marginal change in capacity at congested airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 154-167.

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    1. Gelhausen, Marc Christopher, 2007. "A Generalized Neural Logit Model for Airport and Access Mode Choice in Germany," MPRA Paper 4313, University Library of Munich, Germany, revised 2007.
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