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Cost savings from trajectory deviations in the European air space

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  • Carreras-Maide, Jaume
  • Lordan, Oriol
  • Sallan, Jose M.

Abstract

Air transport deregulation has lead to an increase of air traffic, together with a reduction of air fares. Air fare reduction has narrowed operational margins of airlines, bringing financial and employment instability. This has brought airlines to pay increasing attention to flying costs reduction. Two important components of flying costs airlines can try to cut modifying the planned flight are en route charges and operational costs. We rely on Demand Data Repository (DDR2) data to calculate deviations from planned flight trajectories to analyse the extent to what airlines try to cut operational costs making shorter flights than planned if possible, and cut en route charges providing a planned flight with lower en route charges than the planned flight. Our findings show that there is no generalised strategy among airlines to reduce en-route charges asking for deviations of the planned route. On the other hand, airlines are achieving savings of operational costs regularly. Higher savings per nautical mile are obtained in night flights, with longer planned distance and operated by low cost carriers.

Suggested Citation

  • Carreras-Maide, Jaume & Lordan, Oriol & Sallan, Jose M., 2020. "Cost savings from trajectory deviations in the European air space," Journal of Air Transport Management, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:jaitra:v:88:y:2020:i:c:s0969699720304713
    DOI: 10.1016/j.jairtraman.2020.101887
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    References listed on IDEAS

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    1. Deschinkel, Karine & Farges, Jean-Loup & Delahaye, Daniel, 2002. "Optimizing and assigning price levels for air traffic management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(3-4), pages 221-237, May.
    2. Alderighi, Marco & Cento, Alessandro & Nijkamp, Peter & Rietveld, Piet, 2012. "Competition in the European aviation market: the entry of low-cost airlines," Journal of Transport Geography, Elsevier, vol. 24(C), pages 223-233.
    3. Zuidberg, Joost, 2014. "Identifying airline cost economies: An econometric analysis of the factors affecting aircraft operating costs," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 86-95.
    4. Bongiorno, C. & Gurtner, G. & Lillo, F. & Mantegna, R.N. & Miccichè, S., 2017. "Statistical characterization of deviations from planned flight trajectories in air traffic management," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 152-163.
    5. Goetz, Andrew R. & Vowles, Timothy M., 2009. "The good, the bad, and the ugly: 30 years of US airline deregulation," Journal of Transport Geography, Elsevier, vol. 17(4), pages 251-263.
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    Cited by:

    1. Salman Arif & Jason Atkin & Geert Maere, 2023. "Analysing the benefits of trajectory deviations for planar trajectory optimisation," Annals of Operations Research, Springer, vol. 326(1), pages 537-560, July.
    2. Chu, Chen & Zhang, Hengcai & Zhang, Jiayin & Cong, Lin & Lu, Feng, 2024. "Assessing impacts of the Russia-Ukraine conflict on global air transportation: From the view of mass flight trajectories," Journal of Air Transport Management, Elsevier, vol. 115(C).

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