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Paving the way towards superstar destinations: Models of convex demand for quality

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  • Caspar G Chorus

Abstract

This article highlights the importance for urban planning, of the under-researched notion of superstar destinations. Furthermore, it presents and compares destination choice models that generate a convex demand for destination quality, and thereby explain and predict the existence of so-called superstar destinations. When compared to their competition, superstar destinations are much more popular than differences in quality between the superstar and other destinations would suggest at first sight. Although convexity of demand for quality is a known precondition for the existence of superstars, it remains unclear what mechanism might cause this imperfect substitution between different quality levels. The article proposes several choice models that generate a convexity of demand for quality, thereby paving the way for (modelling) the existence of superstar destinations. These models are compared using numerical simulations, which show that each of the proposed models has the potential to generate superstar effects, although for most models the effect decreases for larger choice sets. Results suggest that including reference-dependency into choice models helps overcome this potential limitation, as it leads to superstar effects for larger choice sets typically encountered in real life destination choice situations.

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  • Caspar G Chorus, 2018. "Paving the way towards superstar destinations: Models of convex demand for quality," Environment and Planning B, , vol. 45(1), pages 161-179, January.
    • Handle: RePEc:sae:envirb:v:45:y:2018:i:1:p:161-179
    DOI: 10.1177/0265813516668855
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    1. Simonson, Itamar, 1989. "Choice Based on Reasons: The Case of Attraction and Compromise Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(2), pages 158-174, September.
    2. Riccardo Scarpa & Mara Thiene & Tiziano Tempesta, 2007. "Latent class count models of total visitation demand: days out hiking in the eastern Alps," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 447-460, December.
    3. Chorus, Caspar & van Cranenburgh, Sander & Dekker, Thijs, 2014. "Random regret minimization for consumer choice modeling: Assessment of empirical evidence," Journal of Business Research, Elsevier, vol. 67(11), pages 2428-2436.
    4. 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.
    5. Boeri, Marco & Scarpa, Riccardo & Chorus, Caspar G., 2014. "Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 121-135.
    6. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    7. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    8. Kroesen, Maarten, 2014. "Modeling the behavioral determinants of travel behavior: An application of latent transition analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 56-67.
    9. Stephane Hess & Amanda Stathopoulos & Andrew Daly, 2012. "Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies," Transportation, Springer, vol. 39(3), pages 565-591, May.
    10. Bruno Frey, 1998. "Superstar Museums: An Economic Analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 22(2), pages 113-125, June.
    11. Hess, Stephane & Stathopoulos, Amanda, 2013. "A mixed random utility — Random regret model linking the choice of decision rule to latent character traits," Journal of choice modelling, Elsevier, vol. 9(C), pages 27-38.
    12. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    13. van Cranenburgh, S. & Chorus, C.G. & van Wee, B., 2014. "Vacation behaviour under high travel cost conditions – A stated preference of revealed preference approach," Tourism Management, Elsevier, vol. 43(C), pages 105-118.
    14. Vermunt, Jeroen K. & Magidson, Jay, 2003. "Latent class models for classification," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 531-537, January.
    15. Wu, Lingling & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing tourists’ heterogeneous choices of destination and travel party with an integrated latent class and nested logit model," Tourism Management, Elsevier, vol. 32(6), pages 1407-1413.
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