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Mitigation of airspace congestion impact on airline networks

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  • Vaaben, Bo
  • Larsen, Jesper

Abstract

In recent years European airspace has become increasingly congested and airlines can now observe that en-route capacity constraints are the fastest growing source of flight delays. In 2010 this source of delay accounted for 19% of all flight delays in Europe and has been increasing with an average yearly rate of 17% from 2005 to 2010. This paper suggests and evaluates an approach to how disruption management can be combined with flight planning in order to create more proactive handling of the kind of disruptions, which are caused by congested airspace. The approach is evaluated using data from a medium size European carrier and estimates a lower bound saving of several million USD.

Suggested Citation

  • Vaaben, Bo & Larsen, Jesper, 2015. "Mitigation of airspace congestion impact on airline networks," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 54-65.
    • Handle: RePEc:eee:jaitra:v:47:y:2015:i:c:p:54-65
    DOI: 10.1016/j.jairtraman.2015.04.002
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    References listed on IDEAS

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    1. Ladislav Lettovský & Ellis L. Johnson & George L. Nemhauser, 2000. "Airline Crew Recovery," Transportation Science, INFORMS, vol. 34(4), pages 337-348, November.
    2. Dimitris Bertsimas & Guglielmo Lulli & Amedeo Odoni, 2011. "An Integer Optimization Approach to Large-Scale Air Traffic Flow Management," Operations Research, INFORMS, vol. 59(1), pages 211-227, February.
    3. Thengvall, Benjamin G. & Yu, Gang & Bard, Jonathan F., 2001. "Multiple fleet aircraft schedule recovery following hub closures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 289-308, May.
    4. Dimitris Bertsimas & Sarah Stock Patterson, 2000. "The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach," Transportation Science, INFORMS, vol. 34(3), pages 239-255, August.
    5. Abdelghany, Khaled & Abdelghany, Ahmed & Niznik, Tim, 2007. "Managing severe airspace flow programs: The Airlines’ side of the problem," Journal of Air Transport Management, Elsevier, vol. 13(6), pages 329-337.
    6. Ahmad I. Z. Jarrah & Gang Yu & Nirup Krishnamurthy & Ananda Rakshit, 1993. "A Decision Support Framework for Airline Flight Cancellations and Delays," Transportation Science, INFORMS, vol. 27(3), pages 266-280, August.
    7. Guo Wei & Gang Yu & Mark Song, 1997. "Optimization Model and Algorithm for Crew Management During Airline Irregular Operations," Journal of Combinatorial Optimization, Springer, vol. 1(3), pages 305-321, October.
    8. Medard, Claude P. & Sawhney, Nidhi, 2007. "Airline crew scheduling from planning to operations," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1013-1027, December.
    9. Mirela Stojković & François Soumis & Jacques Desrosiers, 1998. "The Operational Airline Crew Scheduling Problem," Transportation Science, INFORMS, vol. 32(3), pages 232-245, August.
    10. Kohl, Niklas & Larsen, Allan & Larsen, Jesper & Ross, Alex & Tiourine, Sergey, 2007. "Airline disruption management—Perspectives, experiences and outlook," Journal of Air Transport Management, Elsevier, vol. 13(3), pages 149-162.
    11. Jay M. Rosenberger & Ellis L. Johnson & George L. Nemhauser, 2003. "Rerouting Aircraft for Airline Recovery," Transportation Science, INFORMS, vol. 37(4), pages 408-421, November.
    12. Yan, Shangyao & Yang, Dah-Hwei, 1996. "A decision support framework for handling schedule perturbation," Transportation Research Part B: Methodological, Elsevier, vol. 30(6), pages 405-419, December.
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    2. Dinçer, Hasan & Hacıoğlu, Ümit & Yüksel, Serhat, 2017. "Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 17-33.
    3. Das, Deepjyoti & Sharma, Somesh Kumar & Parti, Raman & Singh, Jagroop, 2016. "Analyzing the effect of aviation infrastructure over aviation fuel consumption reduction," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 89-100.
    4. Cheng Deng & Qiqian Zhang & Honghai Zhang & Jingyu Li & Changyuan Ning, 2023. "Research on Rapid Congestion Identification Method Based on TSNE-FCM and LightGBM," Sustainability, MDPI, vol. 15(14), pages 1-16, July.

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