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Influential factors to aircraft taxi time in airport

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  • Park, Dong Kie
  • Kim, Jin Ki

Abstract

Operation of aircraft in the airport movement area is a major source of fuel combustion and emission, and has a great influence on aircraft exit time, fuel cost, and labor cost. Slots are calculated according to runway capacity, mooring capacity, terminal capacity, and control capacity, but aircraft flow in climate or mobile areas is not considered. This study proposes a model to explain a taxi time in an airport with influential factors such as airport weather (wind direction, wind speed, visibility, air pressure, precipitation), number of take-off and landing flights, number of aircraft moving in the moving area, runway occupation time for arrival, runway occupation time for departure, take-off and landing direction, and terminal location. In this study, the factors influencing aircraft movement are analyzed using data from Gimpo Airport and Jeju Airport in 2019. Result shows that taxi-in-time and taxi-out time are affected by wind speed, air pressure, and precipitation, especially among weather variables, the number of arrival flights by time, and departure flights before takeoff. The runway occupancy time, the take-off and landing direction, and the terminal location shows a significant factor to taxi hours. Gimpo Airport and Jeju Airport show a significant difference in taxi in and taxi out time. It is expected that these results can contribute to systematically and scientifically calculating aircraft flow while considering moving areas and weather. This study can help optimize the landing runway, landing direction, and travel path and time of the aircraft.

Suggested Citation

  • Park, Dong Kie & Kim, Jin Ki, 2023. "Influential factors to aircraft taxi time in airport," Journal of Air Transport Management, Elsevier, vol. 106(C).
    • Handle: RePEc:eee:jaitra:v:106:y:2023:i:c:s0969699722001405
    DOI: 10.1016/j.jairtraman.2022.102321
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    References listed on IDEAS

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    1. Borsky, Stefan & Unterberger, Christian, 2019. "Bad weather and flight delays: The impact of sudden and slow onset weather events," Economics of Transportation, Elsevier, vol. 18(C), pages 10-26.
    2. Voltes-Dorta, Augusto & Martín, Juan Carlos, 2016. "Benchmarking the noise-oriented efficiency of major European airports: A directional distance function approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 259-273.
    3. Serhan, Duaa & Lee, Hanbong & Yoon, Sang Won, 2018. "Minimizing airline and passenger delay cost in airport surface and terminal airspace operations," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 120-133.
    4. 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.
    5. Dariush Khezrimotlagh & Yao Chen, 2018. "The Optimization Approach," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 107-134, Springer.
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    Cited by:

    1. Ahmadi, Sobhan & Akgunduz, Ali, 2023. "Airport operations with electric-powered towing alternatives under stochastic conditions," Journal of Air Transport Management, Elsevier, vol. 109(C).

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