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Forecasting of taxi times: The case of Barcelona-El Prat airport

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  • Lordan, Oriol
  • Sallan, Jose M.
  • Valenzuela-Arroyo, Marta

Abstract

One of the challenges that air transport management is facing is to develop predictive tools for ground operations of aircraft, in particular of estimation of taxi times. The aim of this paper is to define a forecasting model for taxi times for a specific airport: Barcelona-El Prat. This model uses log-linear regression analysis to estimate taxi times with variables that can be computed before operation to account for route- and interaction-specific factors influencing taxi time. The resulting model has a strong predictive validity, but requires a sample size covering an extensive time of airport operations. The model results show that route-specific factors are useful to estimate taxi times, and the combination of stand and rapid exit variables (for landings) and runway (for take offs) accounts for a great part of the variability of taxi times.

Suggested Citation

  • Lordan, Oriol & Sallan, Jose M. & Valenzuela-Arroyo, Marta, 2016. "Forecasting of taxi times: The case of Barcelona-El Prat airport," Journal of Air Transport Management, Elsevier, vol. 56(PB), pages 118-122.
    • Handle: RePEc:eee:jaitra:v:56:y:2016:i:pb:p:118-122
    DOI: 10.1016/j.jairtraman.2016.04.015
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    References listed on IDEAS

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    1. Diana, Tony, 2013. "An application of survival and frailty analysis to the study of taxi-out time: A case of New York Kennedy Airport," Journal of Air Transport Management, Elsevier, vol. 26(C), pages 40-43.
    2. Tu, Yufeng & Ball, Michael O. & Jank, Wolfgang S., 2008. "Estimating Flight Departure Delay DistributionsA Statistical Approach With Long-Term Trend and Short-Term Pattern," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 112-125, March.
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    1. Diana, Tony, 2018. "Can machines learn how to forecast taxi-out time? A comparison of predictive models applied to the case of Seattle/Tacoma International Airport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 149-164.
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