Influential factors to aircraft taxi time in airport
Dong Kie Park and
Jin Ki Kim
Journal of Air Transport Management, 2023, vol. 106, issue C
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.
Keywords: Airside operation; Aircraft flow in airport airside; Taxi operation in airport airside; Departure taxi-out time; Arrival taxi-in time; Weather condition (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:106:y:2023:i:c:s0969699722001405
DOI: 10.1016/j.jairtraman.2022.102321
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