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Nature-based outdoor recreation trips: Duration, travel mode and location

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  • Gosens, Tom
  • Rouwendal, Jan

Abstract

This paper studies the allocation of time to outdoor recreation trips in various natural environment types. We merge a multiple discrete-continuous demand system for time allocation with a discrete choice model for destination and travel mode choice. Accessibility enters the time allocation model through the logsum of the travel mode/destination choice stage.

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  • Gosens, Tom & Rouwendal, Jan, 2018. "Nature-based outdoor recreation trips: Duration, travel mode and location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 513-530.
    • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:513-530
    DOI: 10.1016/j.tra.2018.06.024
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    1. von Haefen R.H. & Phaneuf D.J. & Parsons G.R., 2004. "Estimation and Welfare Analysis With Large Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 194-205, April.
    2. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    3. Aliza Fleischer & Yacov Tsur, 2009. "The Amenity Value of Agricultural Landscape and Rural–Urban Land Allocation," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 132-153, February.
    4. Caleb Van Nostrand & Vijayaraghavan Sivaraman & Abdul Pinjari, 2013. "Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework," Transportation, Springer, vol. 40(1), pages 151-171, January.
    5. André de Palma & Robin Lindsey & Emile Quinet & Robert Vickerman, 2011. "Handbook Of Transport Economics," PSE-Ecole d'économie de Paris (Postprint) halshs-00754912, HAL.
    6. Haab, Timothy C. & Hicks, Robert L., 1997. "Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 127-147, October.
    7. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Sen, Sudeshna, 2006. "A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 827-850, December.
    8. Fezzi, Carlo & Bateman, Ian J. & Ferrini, Silvia, 2014. "Using revealed preferences to estimate the Value of Travel Time to recreation sites," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 58-70.
    9. Bhattacharjee, Subhra & Kling, Catherine L. & Herriges, Joseph A., 2009. "Kuhn-Tucker Estimation of Recreation Demand – A Study of Temporal Stability," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49408, Agricultural and Applied Economics Association.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    11. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    12. Bujosa Bestard, Angel & Riera Font, Antoni, 2010. "Estimating the aggregate value of forest recreation in a regional context," Journal of Forest Economics, Elsevier, vol. 16(3), pages 205-216, August.
    13. Larson, Douglas M. & Lew, Daniel K., 2005. "Measuring the utility of ancillary travel: revealed preferences in recreation site demand and trips taken," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 237-255.
    14. K. G. Willis & G. D. Garrod, 1991. "An Individual Travel‐Cost Method Of Evaluating Forest Recreation," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(1), pages 33-42, January.
    15. George R. Parsons & GAndrew J. Plantinga & GKevin J. Boyle, 2000. "Narrow Choice Sets in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 76(1), pages 86-99.
    16. André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), 2011. "A Handbook of Transport Economics," Books, Edward Elgar Publishing, number 12679.
    17. K. E. McConnell, 1992. "On-Site Time in the Demand for Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 918-925.
    18. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    19. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    20. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    21. Joan L. Walker & Moshe Ben-Akiva, 2011. "Advances in Discrete Choice: Mixture Models," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 8, Edward Elgar Publishing.
    22. Castro, Marisol & Bhat, Chandra R. & Pendyala, Ram M. & Jara-Díaz, Sergio R., 2012. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 729-743.
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    1. David Boto‐García & Antonio Alvarez & José Baños, 2021. "Modelling heterogeneous preferences for nature‐based tourism trips," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1625-1653, December.

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