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Minding the gap: Optimizing airport schedule displacement and acceptability

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

Abstract

Serious congestion problems at slot-controlled airports worldwide call for some action. Slot scheduling related research has mainly focused on scheduling models allocating airport capacity by optimising scheduling efficiency. However, existing literature does not capture the effect of slot allocation decisions on the acceptability of slot schedules. The objective of this paper is to investigate the trade-off between scheduling efficiency and the airlines’ dis-utility of slot schedules expressed by various metrics of schedule displacement. We develop and solve two bi-objective scheduling models considering different combinations of total and maximum acceptable slot displacement objectives. The proposed models are applied to real-world scheduling data. Substantial improvements in schedule acceptability metrics are achieved without sacrificing a lot in terms of scheduling efficiency. Sacrifices in scheduling efficiency increase the capability of the airport coordinator to allocate slots that are eventually acceptable and hence more intensively used.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:114:y:2018:i:pa:p:203-221
    DOI: 10.1016/j.tra.2017.09.025
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    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.
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    4. Madas, Michael A. & Zografos, Konstantinos G., 2010. "Airport slot allocation: a time for change?," Transport Policy, Elsevier, vol. 17(4), pages 274-285, August.
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    10. 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.
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    Cited by:

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    2. Jamie Fairbrother & Konstantinos G. Zografos & Kevin D. Glazebrook, 2020. "A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences," Transportation Science, INFORMS, vol. 54(1), pages 115-138, January.
    3. 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.
    4. Keskin, Merve & Zografos, Konstantinos G., 2023. "Optimal network-wide adjustments of initial airport slot allocations with connectivity and fairness objectives," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    5. Androutsopoulos, Konstantinos N. & Madas, Michael A., 2019. "Being fair or efficient? A fairness-driven modeling extension to the strategic airport slot scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 37-60.
    6. Liu, Wenjing & Zhao, Qiuhong & Delahaye, Daniel, 2022. "Research on slot allocation for airport network in the presence of uncertainty," Journal of Air Transport Management, Elsevier, vol. 104(C).
    7. 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.

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