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Time to burn: Flight delay, terminal efficiency, and fuel consumption in the National Airspace System

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  • Ryerson, Megan S.
  • Hansen, Mark
  • Bonn, James

Abstract

Improved Air Traffic Management (ATM) leading to reduced en route and gate delay, greater predictability in flight planning, and reduced terminal inefficiencies has a role to play in reducing aviation fuel consumption. Air navigation service providers are working to quantify this role to help prioritize and justify ATM modernization efforts. In the following study we analyze actual flight-level fuel consumption data reported by a major U.S. based airline to study the possible fuel savings from ATM improvements that allow flights to better adhere to their planned trajectories both en route and in the terminal area. To do so we isolate the contribution of airborne delay, departure delay, excess planned flight time, and terminal area inefficiencies on fuel consumption using econometric techniques. The model results indicate that, for two commonly operated aircraft types, the system-wide averages of flight fuel consumption attributed to ATM delay and terminal inefficiencies are 1.0–1.5% and 1.5–4.5%, respectively. We quantify the fuel impact of predicted delay to be 10–20% that of unanticipated delay, reinforcing the role of flight plan predictability in reducing fuel consumption. We rank terminal areas by quantifying a Terminal Inefficiency metric based on the variation in terminal area fuel consumed across flights. Our results help prioritize ATM modernization investments by quantifying the trade-offs in planned and unplanned delays and identifying terminal areas with high potential for improvement.

Suggested Citation

  • Ryerson, Megan S. & Hansen, Mark & Bonn, James, 2014. "Time to burn: Flight delay, terminal efficiency, and fuel consumption in the National Airspace System," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 286-298.
  • Handle: RePEc:eee:transa:v:69:y:2014:i:c:p:286-298
    DOI: 10.1016/j.tra.2014.08.024
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    Cited by:

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    9. Kang, Lei & Hansen, Mark & Ryerson, Megan S., 2018. "Evaluating predictability based on gate-in fuel prediction and cost-to-carry estimation," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 146-152.
    10. Senay Solak & Heng Chen, 2018. "Optimal Metering Point Configurations for Optimized Profile Descent Based Arrival Operations at Airports," Transportation Science, INFORMS, vol. 52(1), pages 150-170, January.
    11. Y. X. Lee & Z. W. Zhong, 2016. "A study of the relationship between adverse weather conditions and flight delay," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(4), pages 112-117.
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