IDEAS home Printed from https://ideas.repec.org/a/eee/regeco/v56y2016icp73-81.html
   My bibliography  Save this article

How do airlines react to airport congestion? The role of networks

Author

Listed:
  • Fageda, Xavier
  • Flores-Fillol, Ricardo

Abstract

In this paper, we investigate the relationship between airline network structure and airport congestion. More specifically, we study the ways in which airlines adjust frequencies to delays (as a measure of airport congestion) depending on the network type they operate. Our results suggest that network structure has a fundamental impact. Thus, while airlines operating fully-connected configurations reduce frequencies in response to more frequent delays, airlines operating hub-and-spoke structures increase frequencies. Therefore, network airlines have incentives to keep frequencies high even if this is at the expense of a greater congestion at their hub airports. This result sheds light on previously unclear results in the literature.

Suggested Citation

  • Fageda, Xavier & Flores-Fillol, Ricardo, 2016. "How do airlines react to airport congestion? The role of networks," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 73-81.
  • Handle: RePEc:eee:regeco:v:56:y:2016:i:c:p:73-81
    DOI: 10.1016/j.regsciurbeco.2015.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166046215000940
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.regsciurbeco.2015.11.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brueckner, Jan K. & Van Dender, Kurt, 2008. "Atomistic congestion tolls at concentrated airports? Seeking a unified view in the internalization debate," Journal of Urban Economics, Elsevier, vol. 64(2), pages 288-295, 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. Forbes, Silke J., 2008. "The effect of air traffic delays on airline prices," International Journal of Industrial Organization, Elsevier, vol. 26(5), pages 1218-1232, September.
    5. Charles Boguslaski & Harumi Ito & Darin Lee, 2004. "Entry Patterns in the Southwest Airlines Route System," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(3), pages 317-350, August.
    6. Rupp, Nicholas G., 2009. "Do carriers internalize congestion costs? Empirical evidence on the internalization question," Journal of Urban Economics, Elsevier, vol. 65(1), pages 24-37, January.
    7. Baumgarten, Patrick & Malina, Robert & Lange, Anne, 2014. "The impact of hubbing concentration on flight delays within airline networks: An empirical analysis of the US domestic market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 103-114.
    8. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December.
    9. Pai, Vivek, 2010. "On the factors that affect airline flight frequency and aircraft size," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 169-177.
    10. Everett B. Peterson & Kevin Neels & Nathan Barczi & Thea Graham, 2013. "The Economic Cost of Airline Flight Delay," Journal of Transport Economics and Policy, University of Bath, vol. 47(1), pages 107-121, January.
    11. 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.
    12. 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.
    13. Brueckner, Jan K & Spiller, Pablo T, 1994. "Economies of Traffic Density in the Deregulated Airline Industry," Journal of Law and Economics, University of Chicago Press, vol. 37(2), pages 379-415, October.
    14. McDonald, John F. & McMillen, Daniel P., 2000. "Employment Subcenters and Subsequent Real Estate Development in Suburban Chicago," Journal of Urban Economics, Elsevier, vol. 48(1), pages 135-157, July.
    15. 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.
    16. Fageda, Xavier & Flores-Fillol, Ricardo, 2015. "A note on optimal airline networks under airport congestion," Economics Letters, Elsevier, vol. 128(C), pages 90-94.
    17. Britto, Rodrigo & Dresner, Martin & Voltes, Augusto, 2012. "The impact of flight delays on passenger demand and societal welfare," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 460-469.
    18. Fageda, Xavier, 2014. "What hurts the dominant airlines at hub airports?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 177-189.
    19. Brueckner, Jan K., 2009. "Price vs. quantity-based approaches to airport congestion management," Journal of Public Economics, Elsevier, vol. 93(5-6), pages 681-690, June.
    20. 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.
    21. Zou, Bo & Hansen, Mark, 2014. "Flight delay impact on airfare and flight frequency: A comprehensive assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 54-74.
    22. Wei, Wenbin & Hansen, Mark, 2006. "An aggregate demand model for air passenger traffic in the hub-and-spoke network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 841-851, December.
    23. Ater, Itai, 2012. "Internalization of congestion at US hub airports," Journal of Urban Economics, Elsevier, vol. 72(2), pages 196-209.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bayan Bevrani & Robert L. Burdett & Ashish Bhaskar & Prasad K. D. V. Yarlagadda, 2020. "A multi commodity flow model incorporating flow reduction functions," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 693-723, September.
    2. Roucolle, Chantal & Seregina, Tatiana & Urdanoz, Miguel, 2020. "Measuring the development of airline networks: Comprehensive indicators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 303-324.
    3. Sun, Joo Yeon, 2020. "Airport curfew and scheduling differentiation: Domestic versus international competition," Journal of Air Transport Management, Elsevier, vol. 87(C).
    4. Roucolle, Chantal & Seregina, Tatiana & Urdanoz, Miguel, 2020. "Network development and excess travel time," Transport Policy, Elsevier, vol. 94(C), pages 139-152.
    5. Altringer, Levi & Zahran, Sammy & Shwiff, Stephanie A. & Begier, Michael J. & Anderson, Aaron, 2022. "Spillover delay effects of damaging wildlife strike events at U.S. airports," Economics of Transportation, Elsevier, vol. 30(C).
    6. Conti, Maurizio & Ferrara, Antonella Rita & Ferraresi, Massimiliano, 2019. "Did the EU Airport Charges Directive lead to lower aeronautical charges? Empirical evidence from a diff-in-diff research design," Economics of Transportation, Elsevier, vol. 17(C), pages 24-39.
    7. Borsati, Mattia & Albalate, Daniel, 2020. "On the modal shift from motorway to high-speed rail: evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 145-164.
    8. 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.
    9. Anna Bottasso & Martina Bruno & Maurizio Conti & Claudio Piga, 2017. "Competition, vertical relationship and countervailing power in the UK airport industry," Journal of Regulatory Economics, Springer, vol. 52(1), pages 37-62, August.
    10. Barkley, Aaron & Mcleod, Kael, 2022. "Congestion and consolidation: An empirical study of a barge shipping merger," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    11. Rodríguez-Sanz, à lvaro & Comendador, Fernando Gómez & Valdés, Rosa Arnaldo & Pérez-Castán, Javier A., 2018. "Characterization and prediction of the airport operational saturation," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 147-172.
    12. Calzada, Joan & Fageda, Xavier, 2023. "Airport dominance, route network design and flight delays," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fageda, Xavier & Flores-Fillol, Ricardo & Lin, Ming Hsin, 2020. "Vertical differentiation and airline alliances: The effect of antitrust immunity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    2. Xavier Fageda & Ricardo Flores-Fillol, 2017. "Airport Congestion and Airline Network Structure," Advances in Airline Economics, in: The Economics of Airport Operations, volume 6, pages 335-359, Emerald Group Publishing Limited.
    3. Calzada, Joan & Fageda, Xavier, 2023. "Airport dominance, route network design and flight delays," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    4. Miranda, Victor A.P. & Oliveira, Alessandro V.M., 2018. "Airport slots and the internalization of congestion by airlines: An empirical model of integrated flight disruption management in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 201-219.
    5. Silva, Hugo E. & Verhoef, Erik T. & van den Berg, Vincent A.C., 2014. "Airlines’ strategic interactions and airport pricing in a dynamic bottleneck model of congestion," Journal of Urban Economics, Elsevier, vol. 80(C), pages 13-27.
    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. Silva, Hugo E. & Verhoef, Erik T., 2013. "Optimal pricing of flights and passengers at congested airports and the efficiency of atomistic charges," Journal of Public Economics, Elsevier, vol. 106(C), pages 1-13.
    8. Ater, Itai, 2012. "Internalization of congestion at US hub airports," Journal of Urban Economics, Elsevier, vol. 72(2), pages 196-209.
    9. Zhang, Anming & Czerny, Achim I., 2012. "Airports and airlines economics and policy: An interpretive review of recent research," Economics of Transportation, Elsevier, vol. 1(1), pages 15-34.
    10. Hugo E. Silva & Erik T. Verhoef, 2011. "Optimal Pricing of Flights and Passengers at Congested Airports: The Efficiency of Atomistic Charges," Tinbergen Institute Discussion Papers 11-179/3, Tinbergen Institute, revised 28 Mar 2013.
    11. Jiang, Changmin & Zhang, Anming, 2015. "Airport congestion pricing and terminal investment: Effects of terminal congestion, passenger types, and concessionsAuthor-Name: Wan, Yulai," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 91-113.
    12. Brueckner, Jan K., 2009. "Price vs. quantity-based approaches to airport congestion management," Journal of Public Economics, Elsevier, vol. 93(5-6), pages 681-690, June.
    13. Jan K. Brueckner, 2008. "Slot-Based Approaches to Airport Congestion Management," CESifo Working Paper Series 2302, CESifo.
    14. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    15. 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.
    16. William E. Bendinelli & Humberto F. A. J. Bettini & Alessandro V. M. Oliveira, 2024. "Airline delays, congestion internalization and non-price spillover effects of low cost carrier entry," Papers 2401.09174, arXiv.org.
    17. Guo, Huanxiu & Jiang, Changmin & Wan, Yulai, 2018. "Can airfares tell? An alternative empirical strategy for airport congestion internalization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 648-661.
    18. Bendinelli, William E. & Bettini, Humberto F.A.J. & Oliveira, Alessandro V.M., 2016. "Airline delays, congestion internalization and non-price spillover effects of low cost carrier entry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 39-52.
    19. Barkley, Aaron & Mcleod, Kael, 2022. "Congestion and consolidation: An empirical study of a barge shipping merger," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    20. Achim I. Czerny & Anming Zhang, 2010. "Airport Congestion Pricing and Passenger Types," WHU Working Paper Series - Economics Group 10-01, WHU - Otto Beisheim School of Management.

    More about this item

    Keywords

    Airline networks; Airport congestion; Delays;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:regeco:v:56:y:2016:i:c:p:73-81. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.