Abstract
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/approach: 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.
Highlights
This article is a way to approach passenger air transportation based on demand management
Basar and Bhat (2002, 2004) established a multinomial logit model for business travelers who resided in the Bay Area, and they found that the time to get to the airport and frequencies were significant variables in airport choice
This study asked for the different situations regarding traveling from one of the two airports that serve the city of Medellin and its nearby townships. These situations were produced because of the variation in values of studied attributes like airfare (AF), the price of traveling to the airport (PT), and the time to get to the airport (TA). 200 domestic flight users of the two airports were surveyed, and this enabled the gathering of each airport’s social economic information, which was useful to explain why Enrique Olaya Herrera (EOH) airport or Jose Maria Cordova (JMC) airport were chosen to start a trip
Summary
This article is a way to approach passenger air transportation based on demand management. It is a key tool in transportation planning and helps to expand knowledge regarding the factors that affect each airport’s passenger demands. It will allow better control of mobility policy results, and it will help to obtain greater knowledge regarding what they want to manage. Knowing the variables that passengers consider when choosing which air terminal, they will use to travel becomes a crucial component in transportation planning. This has been a topic which has become important recently for airport planners. State-of-the-art modeling is implemented in making an airport choice using multinomial logit models (MNL) which make it possible to capture the variables that are statistically significant in choosing an airport and which may permit an analysis of individuals’ behavior regarding the two available alternatives
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