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Convenient flight connections vs. airport congestion: Modeling the ‘rolling hub’

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  • Brueckner, Jan K.
  • Lin, Ming Hsin

Abstract

This paper provides the first analysis of the trade-off between convenient flight connections and airport congestion, a fundamental but untreated element in the economics of hub-and-spoke networks. A continuous spatial model illustrates this trade-off in a framework where a small gap between flight operating times raises congestion while also shortening a connecting passenger’s layover time. When the passenger’s cost per unit of layover time rises, the monopoly airline chooses to narrow the gap between its flights, yielding shorter layovers but more congestion. A discrete spatial model, where flights congest one another only if they operate in the same discrete period, makes this layover-cost effect discontinuous: the monopoly carrier concentrates (deconcentrates) its flights when this cost is high (low) relative to the costs of congestion. When fringe carriers are present, however, the hub carrier always concentrates its flights, either partially or fully. But the presence of a second hub carrier leads to an equilibrium mirroring the monopoly outcome: the carriers concentrate their flights in different periods when the layover cost is high and deconcentrate them otherwise. The paper also presents a welfare analysis, showing that movement from the equilibrium to the social optimum typically requires greater carrier separation.

Suggested Citation

  • Brueckner, Jan K. & Lin, Ming Hsin, 2016. "Convenient flight connections vs. airport congestion: Modeling the ‘rolling hub’," International Journal of Industrial Organization, Elsevier, vol. 48(C), pages 118-142.
  • Handle: RePEc:eee:indorg:v:48:y:2016:i:c:p:118-142
    DOI: 10.1016/j.ijindorg.2016.06.004
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    References listed on IDEAS

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    1. Brueckner, Jan K., 2005. "Internalization of airport congestion: A network analysis," International Journal of Industrial Organization, Elsevier, vol. 23(7-8), pages 599-614, September.
    2. Daniel, Joseph I, 1995. "Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues," Econometrica, Econometric Society, vol. 63(2), pages 327-370, March.
    3. Flores-Fillol, Ricardo, 2010. "Congested hubs," Transportation Research Part B: Methodological, Elsevier, vol. 44(3), pages 358-370, March.
    4. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December.
    5. Daniel, Joseph I. & Harback, Katherine Thomas, 2009. "Pricing the major US hub airports," Journal of Urban Economics, Elsevier, vol. 66(1), pages 33-56, July.
    6. Daniel, Joseph I. & Harback, Katherine Thomas, 2008. "(When) Do hub airlines internalize their self-imposed congestion delays?," Journal of Urban Economics, Elsevier, vol. 63(2), pages 583-612, March.
    7. Lin, Ming Hsin, 2013. "Airport privatization in congested hub–spoke networks," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 51-67.
    8. Katz, Donald S. & Garrow, Laurie A., 2014. "Revenue and operational impacts of depeaking at U.S. hub airports," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 57-64.
    9. Christopher Mayer & Todd Sinai, 2003. "Network Effects, Congestion Externalities, and Air Traffic Delays: Or Why Not All Delays Are Evil," American Economic Review, American Economic Association, vol. 93(4), pages 1194-1215, September.
    10. Czerny, Achim I., 2013. "Public versus private airport behavior when concession revenues exist," Economics of Transportation, Elsevier, vol. 2(1), pages 38-46.
    11. Ater, Itai, 2012. "Internalization of congestion at US hub airports," Journal of Urban Economics, Elsevier, vol. 72(2), pages 196-209.
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    Cited by:

    1. Nicholas G. Rupp & Kerry M. Tan, 2019. "Mergers And Product Quality: A Silver Lining From De‐Hubbing In The U.S. Airline Industry," Contemporary Economic Policy, Western Economic Association International, vol. 37(4), pages 652-672, October.
    2. Luttmann, Alexander, 2019. "Are passengers compensated for incurring an airport layover? Estimating the value of layover time in the U.S. airline industry," Economics of Transportation, Elsevier, vol. 17(C), pages 1-13.
    3. Lin, Pei-Chun, 2023. "The propagation of European airports’ on-time performance and on-time flights via air connectivity prior to the Covid-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 109(C).
    4. Bet, Germán, 2021. "Product specification under a threat of entry: Evidence from Airlines’ departure times," International Journal of Industrial Organization, Elsevier, vol. 75(C).
    5. Kang, Yicheng & Liao, Sha & Jiang, Changmin & D’Alfonso, Tiziana, 2022. "Synthetic control methods for policy analysis: Evaluating the effect of the European Emission Trading System on aviation supply," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 236-252.
    6. Gillen, David & Jacquillat, Alexandre & Odoni, Amedeo R., 2016. "Airport demand management: The operations research and economics perspectives and potential synergies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 495-513.
    7. Cheung, Tommy K.Y. & Wong, Collin WH. & Lei, Zheng, 2022. "Assessment of hub airports' connectivity and Self-Connection Potentials," Transport Policy, Elsevier, vol. 127(C), pages 250-259.

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    More about this item

    Keywords

    Rolling hub; congestion; layover; hub-and-spoke;
    All these keywords.

    JEL classification:

    • L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General

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