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Allocating Air Traffic Flow Management Slots

Author

Listed:
  • Lorenzo Castelli

    (DEEI - University of Trieste)

  • Raffaele Pesenti

    (DMA - University Ca' Foscari of Venice)

  • Andrea Ranieri

    (DEEI - University of Trieste)

Abstract

In Europe, when an imbalance between demand and capacity is detected for air traffic network resources, Air Traffic Flow Management slots are allocated to flights on the basis of a First Planned First Served principle. We propose a market mechanism to allocate such slots in the case of a single constrained en-route sector or airport. We show that our mechanism provides a slot allocation which is economically preferable to the current one as it enables airlines to pay for delay reduction or receive compensations for delay increases. We also discuss the implementation of our mechanism through two alternative distributed approaches that spare airlines the disclosure of private information. Both these approaches have the additional advantage that they directly involve airlines in the decision making process. Two computational examples relying on real data illustrate our findings.

Suggested Citation

  • Lorenzo Castelli & Raffaele Pesenti & Andrea Ranieri, 2009. "Allocating Air Traffic Flow Management Slots," Working Papers 191, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  • Handle: RePEc:vnm:wpaper:191
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    File URL: http://virgo.unive.it/wpideas/storage/2009wp191.pdf
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    References listed on IDEAS

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    3. Kan Chang & Ken Howard & Rick Oiesen & Lara Shisler & Midori Tanino & Michael C. Wambsganss, 2001. "Enhancements to the FAA Ground-Delay Program Under Collaborative Decision Making," Interfaces, INFORMS, vol. 31(1), pages 57-76, February.
    4. G. Andreatta & G. Romanin-Jacur, 1987. "Aircraft Flow Management under Congestion," Transportation Science, INFORMS, vol. 21(4), pages 249-253, November.
    5. Dimitris Bertsimas & Sarah Stock Patterson, 1998. "The Air Traffic Flow Management Problem with Enroute Capacities," Operations Research, INFORMS, vol. 46(3), pages 406-422, June.
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    Cited by:

    1. Jovanović, Radosav & Tošić, Vojin & Čangalović, Mirjana & Stanojević, Milan, 2014. "Anticipatory modulation of air navigation charges to balance the use of airspace network capacities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 84-99.
    2. Pellegrini, Paola & Rodriguez, Joaquin, 2013. "Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 64-86.
    3. Fukui, Hideki, 2019. "How do slot restrictions affect airfares? New evidence from the US airline industry," Economics of Transportation, Elsevier, vol. 17(C), pages 51-71.
    4. Kim, Amy & Hansen, Mark, 2015. "Some insights into a sequential resource allocation mechanism for en route air traffic management," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 1-15.
    5. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.

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    More about this item

    Keywords

    Air Transportation; Market Mechanism Design; Air Traffic Flow Management slots; Collaborative Decision Making; SESAR.;
    All these keywords.

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy

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