IDEAS home Printed from https://ideas.repec.org/a/eee/transb/v206y2026ics0191261526000366.html

Estimating the societal value of airport slots

Author

Listed:
  • Adler, Nicole
  • Andreana, Gianmarco
  • De Jong, Gerben

Abstract

This research integrates discrete choice modelling and game theory to estimate the societal value of airport slot capacity. We first estimate heterogeneous passenger preferences for fares, frequencies and flight directness and then embed these estimates into a game-theoretic framework of competing airlines. Our framework captures the propagation effects of slot regulation across networks, the distributional impacts on passengers and airlines and environmental externalities from global emissions and local pollution. We apply this framework to assess the implications of tightening slot capacity at hub airports in North America and Europe, regions that collectively account for around 50% of worldwide revenue passenger kilometres in 2024. Social welfare declines when slot capacity is reduced because diminished connectivity and higher fares erode consumer surplus. Airline profitability is only marginally affected under mild slot reductions because increased market power raises per-passenger revenues, which offset lower passenger volumes. The environmental gains from slot reductions do not outweigh the loss in consumer surplus. However, from the perspective of a local regulator, slot reductions may increase social welfare if global environmental impacts are internalized and the social cost of carbon is sufficiently high, particularly at hubs with a large share of long-haul routes. Our findings highlight the importance of accounting for hub location and network effects in the cost-benefit analysis of slot capacity management.

Suggested Citation

  • Adler, Nicole & Andreana, Gianmarco & De Jong, Gerben, 2026. "Estimating the societal value of airport slots," Transportation Research Part B: Methodological, Elsevier, vol. 206(C).
  • Handle: RePEc:eee:transb:v:206:y:2026:i:c:s0191261526000366
    DOI: 10.1016/j.trb.2026.103424
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0191261526000366
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.trb.2026.103424?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:transb:v:206:y:2026:i:c:s0191261526000366. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/wps/find/journaldescription.cws_home/548/description#description .

    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.