IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v15y2009i5p221-226.html
   My bibliography  Save this article

Consumer willingness to pay for in-flight service and comfort levels: A choice experiment

Author

Listed:
  • Balcombe, Kelvin
  • Fraser, Iain
  • Harris, Liam

Abstract

In the competitive aviation market as a result of the emergence of low cost carriers, charter airlines have had to reconsider their approach to service provision. Specifically, the reduction in service and comfort levels offered by the low cost airlines provides charter carriers with an opportunity to differentiate their product based on the quality of the offering. To consider this strategic option we employ an on-line choice experiment to examine consumer choices with respect to the bundle of services on offer when deciding to purchase a flight. With these data we use the Bayesian methods to estimate a mixed logit specification. Our results reveal that in principle passengers are willing to pay a relatively large amount for enhanced service quality.

Suggested Citation

  • Balcombe, Kelvin & Fraser, Iain & Harris, Liam, 2009. "Consumer willingness to pay for in-flight service and comfort levels: A choice experiment," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 221-226.
  • Handle: RePEc:eee:jaitra:v:15:y:2009:i:5:p:221-226
    DOI: 10.1016/j.jairtraman.2008.12.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699708001762
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jairtraman.2008.12.005?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. Rose, John M. & Hensher, David A. & Greene, William H., 2005. "Recovering costs through price and service differentiation: Accounting for exogenous information on attribute processing strategies in airline choice," Journal of Air Transport Management, Elsevier, vol. 11(6), pages 400-407.
    2. Teichert, Thorsten & Shehu, Edlira & von Wartburg, Iwan, 2008. "Customer segmentation revisited: The case of the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 227-242, January.
    3. Dennis, Nigel, 2007. "End of the free lunch? The responses of traditional European airlines to the low-cost carrier threat," Journal of Air Transport Management, Elsevier, vol. 13(5), pages 311-321.
    4. Espino, Raquel & Martín, Juan Carlos & Román, Concepción, 2008. "Analyzing the effect of preference heterogeneity on willingness to pay for improving service quality in an airline choice context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(4), pages 593-606, July.
    5. 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.
    6. Hess, Stephane & Polak, John W., 2005. "Mixed logit modelling of airport choice in multi-airport regions," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 59-68.
    7. Bieger, Thomas & Wittmer, Andreas, 2006. "Air transport and tourism—Perspectives and challenges for destinations, airlines and governments," Journal of Air Transport Management, Elsevier, vol. 12(1), pages 40-46.
    8. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.
    3. Fu, Qian & Kim, Amy M., 2016. "Supply-and-demand models for exploring relationships between smaller airports and neighboring hub airports in the U.S," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 67-79.
    4. Wen, Chieh-Hua & Huang, Chia-Jung & Fu, Chiang, 2020. "Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling," Transport Policy, Elsevier, vol. 98(C), pages 10-20.
    5. Tsai, Tsung-Hsien, 2016. "Homogeneous service with heterogeneous products: Relationships among airline ticket fares and purchase fences," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 164-175.
    6. 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.
    7. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    8. Marcucci, Edoardo & Gatta, Valerio, 2011. "Regional airport choice: Consumer behaviour and policy implications," Journal of Transport Geography, Elsevier, vol. 19(1), pages 70-84.
    9. Lu, Xiao-Yun & Gosling, Geoffrey D. & Shladover, Steven E. & Xiong, Jing & Ceder, Avi, 2006. "Development of a Modeling Framework for Analyzing Improvements in Intermodal Connectivity at California Airports," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt586755r9, Institute of Transportation Studies, UC Berkeley.
    10. 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.
    11. 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.
    12. Adiloğlu-Yalçınkaya, Leyla & Besler, Senem, 2021. "Institutional factors influencing business models: The case of Turkish Airlines," Journal of Air Transport Management, Elsevier, vol. 91(C).
    13. Matthew C. Harding & Jerry Hausman, 2007. "Using A Laplace Approximation To Estimate The Random Coefficients Logit Model By Nonlinear Least Squares," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1311-1328, November.
    14. 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.
    15. Dolnicar, Sara & Grabler, Klaus & Grün, Bettina & Kulnig, Anna, 2011. "Key drivers of airline loyalty," Tourism Management, Elsevier, vol. 32(5), pages 1020-1026.
    16. Vlachos, Ilias & Lin, Zhibin, 2014. "Drivers of airline loyalty: Evidence from the business travelers in China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 1-17.
    17. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    18. Kaye-Blake, William & Abell, Walter L. & Zellman, Eva, 2009. "Respondents’ ignoring of attribute information in a choice modelling survey," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-18.
    19. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    20. Bing Han & Shuang Ren & Jingjing Bao, 2020. "Mixed Logit Model Based on Improved Nonlinear Utility Functions: A Market Shares Solution Method of Different Railway Traffic Modes," Sustainability, MDPI, vol. 12(4), pages 1-25, February.

    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:jaitra:v:15:y:2009:i:5:p:221-226. 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.journals.elsevier.com/journal-of-air-transport-management/ .

    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.