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Applying discrete choice models to understand sport tourists’ heterogeneous preferences for Winter Olympic travel products

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  • Seong Ok Lyu

    (34973Korea University, Republic of Korea)

Abstract

This study aims to better understand how South Korean sport tourists show their preferences for Winter Olympic travel products. Comparing a series of discrete choice model (DCM) techniques, this study also investigates what attributes comprising PyeongChang Winter Olympic travel products are considered by sport tourists important and how they make trade-offs among those attributes for purchasing an optimal product. Study findings suggest that respondents place distinctive importance on each attribute to yield their greatest amount of utility through jointly considering a set of Olympic travel product attributes. Results also indicate that sport tourists put high willingness-to-pay values for multiple opportunities of attending skating competitions and popular tournaments while they show strong interests in more sightseeing and recreational experiences. Based on different DCM estimation results, several management strategies are presented for developing quality Olympic travel products.

Suggested Citation

  • Seong Ok Lyu, 2021. "Applying discrete choice models to understand sport tourists’ heterogeneous preferences for Winter Olympic travel products," Tourism Economics, , vol. 27(3), pages 482-499, May.
    • Handle: RePEc:sae:toueco:v:27:y:2021:i:3:p:482-499
    DOI: 10.1177/1354816619899222
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    References listed on IDEAS

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    1. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    2. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    3. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Christine Green, B., 2001. "Leveraging Subculture and Identity to Promote Sport Events," Sport Management Review, Elsevier, vol. 4(1), pages 1-19, May.
    6. Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
    7. Ek, Kristina & Persson, Lars, 2014. "Wind farms — Where and how to place them? A choice experiment approach to measure consumer preferences for characteristics of wind farm establishments in Sweden," Ecological Economics, Elsevier, vol. 105(C), pages 193-203.
    8. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    9. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    10. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    11. Blamey, Russell K. & Gordon, Jenny & Chapman, Ross, 1999. "Choice modelling: assessing the environmental values of water supply options," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(3), pages 1-21, September.
    12. Nick Hanley & Robert Wright & Vic Adamowicz, 1998. "Using Choice Experiments to Value the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 413-428, April.
    13. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    14. Bateman, Ian J. & Day, Brett H. & Jones, Andrew P. & Jude, Simon, 2009. "Reducing gain-loss asymmetry: A virtual reality choice experiment valuing land use change," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 106-118, July.
    15. B. Christine Green, 2001. "Leveraging Subculture and Identity to Promote Sport Events," Sport Management Review, Taylor & Francis Journals, vol. 4(1), pages 1-19, January.
    Full references (including those not matched with items on IDEAS)

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