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Determinants of Airport Choice in a Multi-Airport Region

Author

Listed:
  • Erwin Blackstone
  • Andrew Buck
  • Simon Hakim

Abstract

The Civil Aeronautics Board was dismantled on the premise that competition and the threat of entry would restrain airline prices. If consumers do not search for low fares, then the threat of entry will have little impact. The entry of a low fare carrier will reallocate fliers within but not between airports. Telephone survey data were used to estimate probit models for the use of Baltimore–Washington International, Newark International, JFK International, and Philadelphia International Airports to evaluate the effect of low fares on consumer behavior. In airport usage, age and gender do not matter. Although survey participants reported that airfare is an important consideration, actual searching for a low fare was unimportant. The availability of non-stop flights, wait at check-in, income, and distance from home were important. Copyright IAES 2006

Suggested Citation

  • Erwin Blackstone & Andrew Buck & Simon Hakim, 2006. "Determinants of Airport Choice in a Multi-Airport Region," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(3), pages 313-326, September.
    • Handle: RePEc:kap:atlecj:v:34:y:2006:i:3:p:313-326
    DOI: 10.1007/s11293-006-9024-z
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    References listed on IDEAS

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    1. 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.
    2. 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.
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    Citations

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    Cited by:

    1. Maertens, Sven, 2010. "Drivers of long haul flight supply at secondary airports in Europe," Journal of Air Transport Management, Elsevier, vol. 16(5), pages 239-243.
    2. Kim, Amy M. & Ryerson, Megan S., 2018. "A long drive: Interregional airport passenger “leakage” in the U.S," Tourism Management, Elsevier, vol. 65(C), pages 237-244.
    3. Morton, Craig & Mattioli, Giulio, 2023. "Competition in Multi-Airport Regions: Measuring airport catchments through spatial interaction models," Journal of Air Transport Management, Elsevier, vol. 112(C).
    4. Sismanidou, Athina & Tarradellas, Joan & Bel, Germà & Fageda, Xavier, 2013. "Estimating potential long-haul air passenger traffic in national networks containing two or more dominant cities," Journal of Transport Geography, Elsevier, vol. 26(C), pages 108-116.
    5. Paliska, Dejan & Drobne, Samo & Borruso, Giuseppe & Gardina, Massimo & Fabjan, Daša, 2016. "Passengers' airport choice and airports' catchment area analysis in cross-border Upper Adriatic multi-airport region," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 143-154.
    6. Teixeira, Filipe Marques & Derudder, Ben, 2021. "Spatio-temporal dynamics in airport catchment areas: The case of the New York Multi Airport Region," Journal of Transport Geography, Elsevier, vol. 90(C).
    7. Renan P. de Oliveira & Alessandro V. M. Oliveira & Gui Lohmann, 2021. "A Network-Design Analysis of Airline Business Model Adaptation in the Face of Competition and Consolidation," Transportation Science, INFORMS, vol. 55(2), pages 532-548, March.
    8. 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.
    9. Sun, Xiaoqian & Zheng, Changhong & Chen, Xinyue & Wandelt, Sebastian, 2024. "Multiple airport regions: A review of concepts, insights and challenges," Journal of Transport Geography, Elsevier, vol. 120(C).
    10. Tuchen, Stefan & Arora, Mohit & Blessing, Lucienne, 2020. "Airport user experience unpacked: Conceptualizing its potential in the face of COVID-19," Journal of Air Transport Management, Elsevier, vol. 89(C).
    11. Amenta, Nina & Sanguinetti, Angela, 2020. "Adding Carbon to the Equation in Online Flight Search," Institute of Transportation Studies, Working Paper Series qt5n53672m, Institute of Transportation Studies, UC Davis.
    12. Yirgu, Kaleab Woldeyohannes & Kim, Amy M., 2024. "Airport choices and resulting catchments in the U.S. Midwest," Journal of Transport Geography, Elsevier, vol. 114(C).
    13. Zijlstra, Toon, 2020. "A border effect in airport choice: Evidence from Western Europe," Journal of Air Transport Management, Elsevier, vol. 88(C).

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    More about this item

    Keywords

    C35; C50; L93; R40); airport; choice; survey; probit;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

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