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Kalakou, S. & Moura, F. (2021). Analyzing passenger behavior in airport terminals based on activity preferences. Journal of Air Transport Management. 96

S. Kalakou and F. Moura,  "Analyzing passenger behavior in airport terminals based on activity preferences", in Journal of Air Transport Management, vol. 96, 2021

@article{kalakou2021_1713570561357,
	author = "Kalakou, S. and Moura, F.",
	title = "Analyzing passenger behavior in airport terminals based on activity preferences",
	journal = "Journal of Air Transport Management",
	year = "2021",
	volume = "96",
	number = "",
	doi = "10.1016/j.jairtraman.2021.102110",
	url = "https://www.sciencedirect.com/journal/journal-of-air-transport-management"
}

TY  - JOUR
TI  - Analyzing passenger behavior in airport terminals based on activity preferences
T2  - Journal of Air Transport Management
VL  - 96
AU  - Kalakou, S.
AU  - Moura, F.
PY  - 2021
SN  - 0969-6997
DO  - 10.1016/j.jairtraman.2021.102110
UR  - https://www.sciencedirect.com/journal/journal-of-air-transport-management
AB  - Airport terminals are facilities that provide a variety of activities related to both the preparation of the passengers for their air trip (aeronautical) and their free time inside the terminal (non-aeronautical). In the last years, the number of non-aeronautical activities has substantially increased and significantly diversified both before and after the security checkpoint. The established role of non-aeronautical activities forces planners and managers to better understand passenger behavior. The potential of discrete choice models for the exploration of passenger behavior is analyzed in this paper. For the demonstration of the methodology, Lisbon Humberto Delgado International airport is used as a case study. Data is collected through a revealed and stated preference survey inside the terminal at the area before the security checkpoint. Activity-choice models are developed to identify the factors that affect the choices of the passengers over the area where they conduct non-aeronautical activities. Forecasts show that when increasing the percentage of passengers who conduct the check-in online and have planned their activities before arriving at the airport, the passengers’ preferences to conduct non-aeronautical activities only after the security checkpoint increase. This paper shows the contribution of developing discrete choice models in the better comprehension of passenger decisions over the activities they perform in an airport
terminal.
ER  -