Airport choice model in multiple airport regions
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.
|Journal Title:||Journal of Airline and Airport Management|
|First author:||Claudia Muñoz|
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|Resource type:||Journal Article|
Journal of Airline and Airport Management; Vol 7, No 1 (Year 2017).
Universitat Politècnica de Catalunya / OmniaScience
Reconocimiento - NoComercial (by-nc)
Physical/Engineering Sciences --> Engineering, Aerospace
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Aerocivil. (2015). SERIE ANUAL PASAJEROS Y CARGA - ORIGEN-DESTINO 1992-2014 WEB. Colombia. Retrieved from
Ashford, N., & Bencheman, M. (1987). Passengers’ choice of airport: An application of the multinomial logit model. Transportation Research Record, 1147, 1-5.
Basar, G., Bhat, C.R. (2002). A parameterized consideration set model for airport choice: An application to the San Francisco Bay area. Technical paper. Department of Civil Engineering, University of Texas at Austin.
Basar, G., & Bhat, C. (2004). A parameterized consideration set model for airport choice: An application to the San Francisco Bay Area. Transportation Research Part B: Methodological, 38(10), 889-904. https://doi.org/10.1016/j.trb.2004.01.001
Bierlaire, M. (2008). An introduction to BIOGEME Version 1.7, biogeme.epfl.ch. Switzerland.
Domencich, T., & McFadden, D. (1975). Urban travel demand: A behavioral analysis. Ed. North_Holland. Amsterdam.
Fuellhart, K., O’Connor, K., & Woltemade, C. (2013). Route-level passenger variation within three multi-airport regions in the USA. Journal of Transport Geography, 31, 171-180. https://doi.org/10.1016/j.jtrangeo.2013.06.012
Harvey, G., (1987). Airport choice in a multiple airport region. Transportation Research, 21A(6), 439-449. https://doi.org/10.1016/0191-2607(87)90033-1
Hess, S., & Polak, J.W. (2006). Exploring the potential for cross-nesting structures in airport-choice analysis: A case-study of the Greater London area. Transportation Research Part E: Logistics and Transportation Review, 42, 63-81. https://doi.org/10.1016/j.tre.2005.09.001
Ishii, J., Jun, S., & Van Dender, K. (2009). Air travel choices in multi-airport markets. Journal of Urban Economics, 65(2), 216-227. https://doi.org/10.1016/j.jue.2008.12.001
Jung, S.Y., & Yoo, K.E. (2014). Passenger airline choice behavior for domestic short-haul travel in South Korea. Journal of Air Transport Management, 38, 43-47. https://doi.org/10.1016/j.jairtraman.2013.12.017
Loo, B.P.Y. (2008). Passengers’ airport choice within multi-airport regions (MARs): some insights from a stated preference survey at Hong Kong International Airport. Journal of Transport Geography, 16(2), 117-125. https://doi.org/10.1016/j.jtrangeo.2007.05.003
Marcucci, E., & Gatta, V. (2011). Regional airport choice: Consumer behaviour and policy implications. Journal of Transport Geography, 19(1), 70-84. https://doi.org/10.1016/j.jtrangeo.2009.10.001
Muñoz, C., Sarmiento, I., & Córdoba, J. (2014). Airport terminal choice model. Dyna, 81(187), 144-151. https://doi.org/10.15446/dyna.v81n187.40825
Ortúzar, J.D.D., & Willumsen, L.G. (2011). Modelling Transport.
Pels, E., Nijkamp, P., & Rietveld, P. (2003). Access to and competition between airports: A case study for the San Francisco Bay area. Transportation Research Part A: Policy and Practice, 37(1), 71-83. https://doi.org/10.1016/s0965-8564(02)00007-1
Skinner Jr., R.E., (1976). Airport choice: an empirical study. Transportation. Engineering Journal, 102, 871-883.
Thompson, A., & Caves, R. (1993). The projected market share for a new small airport in the North of England. Regional Studies 27, 137-147. https://doi.org/10.1080/00343409312331347445
Windle, R., & Dresner, M., (1995). Airport choice in multi-airport regions. Journal of Transportation Engineering, 121, 332-337. https://doi.org/10.1061/(ASCE)0733-947X(1995)121:4(332)
Yang, C.W., Lu, J.L., & Hsu, C.Y. (2014). Modeling joint airport and route choice behavior for international and metropolitan airports. Journal of Air Transport Management, 39, 89-95. https://doi.org/10.1016/j.jairtraman.2014.05.001