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Using revealed preferences to estimate the Value of Travel Time to recreation sites

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  • Fezzi, Carlo
  • Bateman, Ian J.
  • Ferrini, Silvia

Abstract

The opportunity Value of Travel Time (VTT) is one of the most important elements of the total cost of recreation day-trips and arguably the most difficult to estimate. Most studies build upon the theoretical framework proposed by Becker (1965) by using a combination of revealed and stated preference data to estimate a value of time which is uniform in all activities and under all circumstances. This restriction is relaxed by DeSerpa's (1971) model which allows the value of saving time to be activity-specific. We present the first analysis which uses actual driving choices between open access and toll roads to estimate a VTT specific for recreation trips, thereby providing a value which conforms to both Becker's and DeSerpa's theoretical models. Using these findings we conduct a Monte Carlo simulation to identify generalizable results for subsequent valuation studies. Our results indicate that 3/4 of the wage rate provides a reasonable approximation of the average VTT for recreation trips, while the commonly implemented assumption of 1/3 of the wage rate generates downward biased results.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Environmental Economics and Management.

Volume (Year): 67 (2014)
Issue (Month): 1 ()
Pages: 58-70

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Handle: RePEc:eee:jeeman:v:67:y:2014:i:1:p:58-70

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Web page: http://www.elsevier.com/locate/inca/622870

Related research

Keywords: Value of time; Value of travel time savings; Recreation demand models; Revealed preferences; Willingness to pay space;

References

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  1. Mara Thiene & Riccardo Scarpa, 2009. "Deriving and Testing Efficient Estimates of WTP Distributions in Destination Choice Models," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 44(3), pages 379-395, November.
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  12. Feather, Peter & Shaw, W. Douglass, 1998. "Estimating The Cost Of Leisure Time For Recreation Demand Models," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20855, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  13. David A. Hensher & William H. Greene, 2011. "Valuation of Travel Time Savings in WTP and Preference Space in the Presence of Taste and Scale Heterogeneity," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 45(3), pages 505-525, September.
  14. Brownstone, David & Small, Kenneth A., 2003. "Valuing Time and Reliability: Assessing the Evidence from Road Pricing Demonstrations," University of California Transportation Center, Working Papers qt95z0p35k, University of California Transportation Center.
  15. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
  16. John R. McKean & Donn M. Johnson & Richard G. Walsh, 1995. "Valuing Time in Travel Cost Demand Analysis: An Empirical Investigation," Land Economics, University of Wisconsin Press, vol. 71(1), pages 96-105.
  17. Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
  18. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
  19. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics Appendices, Agricultural and Applied Economics Association, vol. 90(4), November.
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