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On the optimal distribution of traffic of network airlines

Author

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  • Fageda, Xavier
  • Flores-Fillol, Ricardo

Abstract

Network airlines have increasingly focused their operations on hub airports through the exploitation of connecting traffic. However, in this paper we show that they may also have incentives to divert traffic away from their hubs. More precisely, we examine how the optimal distribution of traffic of network carriers can be affected by the two major recent innovations in the airline industry: the regional jet technology and the low-cost business model. On the one hand, we show that a network airline may find it profitable to serve thin point-to-point routes with regional jets when the distance between endpoints is sufficiently short and there is a high proportion of business travelers. On the other hand, we observe that a network airline may be interested in serving thin point-to-point routes by means of a low-cost subsidiary when the distance between endpoints is longer and there is a high proportion of leisure travelers. We conclude that network airlines are using those innovations to provide services on thin routes out of the hubs.

Suggested Citation

  • Fageda, Xavier & Flores-Fillol, Ricardo, 2012. "On the optimal distribution of traffic of network airlines," European Economic Review, Elsevier, vol. 56(6), pages 1164-1179.
  • Handle: RePEc:eee:eecrev:v:56:y:2012:i:6:p:1164-1179
    DOI: 10.1016/j.euroecorev.2012.05.001
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    References listed on IDEAS

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    1. Bilotkach, Volodymyr & Fageda, Xavier & Flores-Fillol, Ricardo, 2010. "Scheduled service versus personal transportation: The role of distance," Regional Science and Urban Economics, Elsevier, vol. 40(1), pages 60-72, January.
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    8. Jan K. Brueckner, 2004. "Network Structure and Airline Scheduling," Journal of Industrial Economics, Wiley Blackwell, vol. 52(2), pages 291-312, June.
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    Citations

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    Cited by:

    1. Fageda, Xavier & Flores-Fillol, Ricardo, 2015. "A note on optimal airline networks under airport congestion," Economics Letters, Elsevier, vol. 128(C), pages 90-94.
    2. Fageda, Xavier & Suau-Sanchez, Pere & Mason, Keith J., 2015. "The evolving low-cost business model: Network implications of fare bundling and connecting flights in Europe," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 289-296.
    3. Bilotkach, Volodymyr & Fageda, Xavier & Flores-Fillol, Ricardo, 2013. "Airline consolidation and the distribution of traffic between primary and secondary hubs," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 951-963.
    4. Fageda, Xavier & Flores-Fillol, Ricardo, 2012. "Air services on thin routes: Regional versus low-cost airlines," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 702-714.
    5. Fageda, Xavier, 1975- & Flores-Fillol, Ricardo, 2012. "Airport Congestion and Airline Network Structure," Working Papers 2072/211753, Universitat Rovira i Virgili, Department of Economics.
    6. Tan, Kerry M. & Samuel, Andrew, 2016. "The effect of de-hubbing on airfares," Journal of Air Transport Management, Elsevier, vol. 50(C), pages 45-52.
    7. Gillen, David & Hasheminia, Hamed & Jiang, Changmin, 2015. "Strategic considerations behind the network–regional airline tie ups – A theoretical and empirical study," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 93-111.

    More about this item

    Keywords

    Regional jet technology; Low-cost business model; Point-to-point network; Hub-and-spoke network;

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

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