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Airport slot allocation: a time for change?

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  • Madas, Michael A.
  • Zografos, Konstantinos G.

Abstract

The increasing imbalance between airport capacity and traffic resulted in exceptional congestion and delays drawing the attention of aviation policy makers towards airport demand management for the allocation of scarce airport slots. Attempts to bring forward airport demand management measures in the form of airport slot allocation were not widely adopted and have not flourished in practice. This paper aims: (i) to apply a methodological framework for the selection of the most suitable slot allocation strategy for various types of airports, (ii) to explore potential impacts such that measures or strategies can bring about, and (iii) to assess the suitability of the existing airport pricing scheme and the potential implementation of a new policy regime aiming to bridge the gap between growing traffic and scarce airport capacity.

Suggested Citation

  • Madas, Michael A. & Zografos, Konstantinos G., 2010. "Airport slot allocation: a time for change?," Transport Policy, Elsevier, vol. 17(4), pages 274-285, August.
    • Handle: RePEc:eee:trapol:v:17:y:2010:i:4:p:274-285
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    References listed on IDEAS

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    Cited by:

    1. Cavusoglu, Sabriye Sera & Macário, Rosário, 2021. "Minimum delay or maximum efficiency? Rising productivity of available capacity at airports: Review of current practice and future needs," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Konstantinos G. Zografos & Michael A. Madas & Konstantinos N. Androutsopoulos, 2017. "Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs," Journal of Scheduling, Springer, vol. 20(1), pages 3-24, February.
    3. Presto, Felix & Gollnick, Volker & Lau, Alexander & Lütjens, Klaus, 2022. "Flight frequency regulation and its temporal implications," Transport Policy, Elsevier, vol. 116(C), pages 106-118.
    4. Zografos, Konstantinos G. & Androutsopoulos, Konstantinos N. & Madas, Michael A., 2018. "Minding the gap: Optimizing airport schedule displacement and acceptability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 203-221.
    5. Noto, Claudio, 2020. "Airport slots, secondary trading, and congestion pricing at an airport with a dominant network airline," Research in Transportation Economics, Elsevier, vol. 79(C).
    6. Sheng, Dian & Li, Zhi-Chun & Fu, Xiaowen, 2019. "Modeling the effects of airline slot hoarding behavior under the grandfather rights with use-it-or-lose-it rule," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 48-61.
    7. Fu, Xiaowen & Oum, Tae Hoon & Chen, Ruowei & Lei, Zheng, 2015. "Dominant carrier performance and international liberalization – The case of Northeast Asia," Transport Policy, Elsevier, vol. 43(C), pages 61-75.
    8. 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.
    9. Ugirumurera, Juliette & Severino, Joseph & Ficenec, Karen & Ge, Yanbo & Wang, Qichao & Williams, Lindy & Chae, Junghoon & Lunacek, Monte & Phillips, Caleb, 2021. "A modeling framework for designing and evaluating curbside traffic management policies at Dallas-Fort Worth International Airport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 130-150.

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