You are here

Home » Content

Airport Choice Model in Multiple Airport Regions

Journal Name:

  • Journal of Airline and Airport Management

Publication Year:

  • 2017
DOI: 
https://doi.org/10.3926/jairm.62

Key Words:

Author Name
Abstract (2. Language): 
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.
Bookmark/Search this post with
FULL TEXT (PDF): 
PDF icon arastirmax-airport-choice-model-multiple-airport-regions.pdf
  • 1
1
12
  • English

REFERENCES

References: 

Aerocivil. (2015). SERIE ANUAL PASAJEROS Y CARGA - ORIGEN-DESTINO 1992-2014 WEB.
Colombia. Retrieved from
http://www.aerocivil.gov.co/AAeronautica/Estadisticas/TAereo/EOperaciona...
px
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.2013.12.017Loo, 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

Thank you for copying data from http://www.arastirmax.com