Purpose: This study aims to analyze travel choices made by air transportation users in multi airport
regions because it is a crucial component when planning passenger redistribution policies. The purpose
of this study is to find a utility function which makes it possible to know the variables that influence
users’ choice of the airports on routes to the main cities in the Colombian territory.
Design/methodology: This research generates a Multinomial Logit Model (MNL), which is based on
the theory of maximizing utility, and it is based on the data obtained on revealed and stated preference
surveys applied to users who reside in the metropolitan area of Aburrá Valley (Colombia). This zone is
the only one in the Colombian territory which has two neighboring airports for domestic flights. The
airports included in the modeling process were Enrique Olaya Herrera (EOH) Airport and José María
Córdova (JMC) Airport. Several structure models were tested, and the MNL proved to be the most
significant revealing the common variables that affect passenger airport choice include the airfare, the
price to travel the airport, and the time to get to the airport.
Findings and Originality/value: The airport choice model which was calibrated corresponds to a
valid powerful tool used to calculate the probability of each analyzed airport of being chosen for
domestic flights in the Colombian territory. This is done bearing in mind specific characteristic of each
of the attributes contained in the utility function. In addition, these probabilities will be used to
calculate future market shares of the two airports considered in this study, and this will be done
generating a support tool for airport and airline marketing policies.
