IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v96y2017icp64-78.html
   My bibliography  Save this article

An airline itinerary choice model that includes the option to delay the decision

Author

Listed:
  • Freund-Feinstein, Uzi
  • Bekhor, Shlomo

Abstract

Choice situations with variable supply characteristics are found in many applications, including airline itinerary selection. This paper discusses the airline itinerary choice problem in dynamic supply settings. The paper develops a specially designed stated preference (SP) survey, which emulates an air travel website. The survey includes the option to delay the decision to choose an airline itinerary. The rich data set allows the estimation of discrete choice models of airline itinerary choice.

Suggested Citation

  • Freund-Feinstein, Uzi & Bekhor, Shlomo, 2017. "An airline itinerary choice model that includes the option to delay the decision," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 64-78.
    • Handle: RePEc:eee:transa:v:96:y:2017:i:c:p:64-78
    DOI: 10.1016/j.tra.2016.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416311272
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2016.12.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Collins, Andrew T. & Hess, Stephane & Rose, John M., 2013. "Choice modelling with search and sort data from an interactive choice experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 36-45.
    2. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
    3. Hess, Stephane & Adler, Thomas & Polak, John W., 2007. "Modelling airport and airline choice behaviour with the use of stated preference survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(3), pages 221-233, May.
    4. Suzuki, Yoshinori, 2007. "Modeling and testing the "two-step" decision process of travelers in airport and airline choices," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(1), pages 1-20, January.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    6. Reuben Gronau, 1970. "The Value of Time in Passenger Transportation: The Demand for Air Travel," NBER Books, National Bureau of Economic Research, Inc, number gron70-1, March.
    7. Proussaloglou, Kimon & Koppelman, Frank S., 1999. "The choice of air carrier, flight, and fare class," Journal of Air Transport Management, Elsevier, vol. 5(4), pages 193-201.
    8. Gustafson, Per, 2012. "Managing business travel: Developments and dilemmas in corporate travel management," Tourism Management, Elsevier, vol. 33(2), pages 276-284.
    9. Stephane Hess & John W. Polak, 2006. "Airport, airline and access mode choice in the San Francisco Bay area," Papers in Regional Science, Wiley Blackwell, vol. 85(4), pages 543-567, November.
    10. Drabas, Tomasz & Wu, Cheng-Lung, 2013. "Modelling air carrier choices with a Segment Specific Cross Nested Logit model," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 8-16.
    11. Andrew Collins & John Rose & Stephane Hess, 2012. "Interactive stated choice surveys: a study of air travel behaviour," Transportation, Springer, vol. 39(1), pages 55-79, January.
    12. Lin, Kyle Y. & Sibdari, Soheil Y., 2009. "Dynamic price competition with discrete customer choices," European Journal of Operational Research, Elsevier, vol. 197(3), pages 969-980, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Munoz, Claudia & Laniado, Henry, 2021. "Airline choice model for international round-trip flights: The role of travelers’ satisfaction and personality traits," Research in Transportation Economics, Elsevier, vol. 90(C).
    2. Birolini, Sebastian & Cattaneo, Mattia & Malighetti, Paolo & Morlotti, Chiara, 2020. "Integrated origin-based demand modeling for air transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    3. Xie, J. & Wong, S.C. & Zhan, S. & Lo, S.M. & Chen, Anthony, 2020. "Train schedule optimization based on schedule-based stochastic passenger assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    4. Morlotti, Chiara & Birolini, Sebastian & Malighetti, Paolo & Redondi, Renato, 2023. "A latent class approach to estimate air travelers’ propensity toward connecting itineraries," Research in Transportation Economics, Elsevier, vol. 99(C).
    5. Xie, Jiemin & Zhan, Shuguang & Wong, S.C. & Wen, Keyu & Qiang, Lixia & Lo, S.M., 2022. "High-speed rail services for elderly passengers: Ticket-booking patterns and policy implications," Transport Policy, Elsevier, vol. 125(C), pages 96-106.
    6. Freund-Feinstei, Uzi & Bekhor, Shlomo, 2017. "Airline Itinerary Choice In A Dynamic Supply Environment: Results From A Stated Preference Survey," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 5(4), pages 400-424.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2017. "The impact of operational exposure and value-of-time on customer choice: Evidence from the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 455-471.
    2. Fuellhart, Kurt & O’Connor, Kevin & Woltemade, Christopher, 2013. "Route-level passenger variation within three multi-airport regions in the USA," Journal of Transport Geography, Elsevier, vol. 31(C), pages 171-180.
    3. de Luca, Stefano, 2012. "Modelling airport choice behaviour for direct flights, connecting flights and different travel plans," Journal of Transport Geography, Elsevier, vol. 22(C), pages 148-163.
    4. Freund-Feinstei, Uzi & Bekhor, Shlomo, 2017. "Airline Itinerary Choice In A Dynamic Supply Environment: Results From A Stated Preference Survey," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 5(4), pages 400-424.
    5. Marcucci, Edoardo & Gatta, Valerio, 2011. "Regional airport choice: Consumer behaviour and policy implications," Journal of Transport Geography, Elsevier, vol. 19(1), pages 70-84.
    6. Evangelinos, Christos & Staub, Nelly & Marcucci, Edoardo & Gatta, Valerio, 2021. "The impact of airport parking fees on the tourist's airport/airline choice behavior," Journal of Air Transport Management, Elsevier, vol. 90(C).
    7. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    8. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2015. "The impact of low-cost carriers on airport choice in the US: A case study of the Washington–Baltimore region," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 141-157.
    9. Xie, J. & Wong, S.C. & Zhan, S. & Lo, S.M. & Chen, Anthony, 2020. "Train schedule optimization based on schedule-based stochastic passenger assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    10. Ishii, Jun & Jun, Sunyoung & Van Dender, Kurt, 2009. "Air travel choices in multi-airport markets," Journal of Urban Economics, Elsevier, vol. 65(2), pages 216-227, March.
    11. Hagmann, Carmen & Semeijn, Janjaap & Vellenga, David B., 2015. "Exploring the green image of airlines: Passenger perceptions and airline choice," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 37-45.
    12. Johnson, Daniel & Hess, Stephane & Matthews, Bryan, 2014. "Understanding air travellers' trade-offs between connecting flights and surface access characteristics," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 70-77.
    13. Cho, Woohyun & Dresner, Martin E., 2018. "The impact of a baggage fee waiver on airline choice: Evidence from the Washington-Baltimore region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 4-17.
    14. Hess, Stephane, 2007. "Posterior analysis of random taste coefficients in air travel behaviour modelling," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 203-212.
    15. Escobari, Diego, 2017. "Airport, airline and departure time choice and substitution patterns: An empirical analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 198-210.
    16. Hess, Stephane, 2008. "Treatment of reference alternatives in stated choice surveys for air travel choice behaviour," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 275-279.
    17. Koster, Paul & Kroes, Eric & Verhoef, Erik, 2011. "Travel time variability and airport accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1545-1559.
    18. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    19. Tao Li, 2017. "A Demand Estimator Based on a Nested Logit Model," Transportation Science, INFORMS, vol. 51(3), pages 918-930, August.
    20. Yang, Chih-Wen & Liao, Pei-Han, 2016. "Modeling the joint choice of access modes and flight routes with parallel structure and random heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 19-31.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:96:y:2017:i:c:p:64-78. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.