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A Contingent Trip Model for Estimating Rail-trail Demand

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  • Carter Betz
  • John Bergstrom
  • J. M. Bowker
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    Abstract

    The authors develop a contingent trip model to estimate the recreation demand for and value of a potential rail-trail site in north-east Georgia. The contingent trip model is an alternative to travel cost modelling useful for ex ante evaluation of proposed recreation resources or management alternatives. The authors estimate the empirical demand for trips using a negative binomial regression specification. Their findings indicate a per-trip consumer surplus ranging from US$18.46 to US$29.23 and a price elasticity of m 0.68. In aggregate, they estimate that the rail-trail would receive approximately 416 213 recreation visits per year by area households and account for a total consumer surplus in excess of US$7.5 million.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/713676704
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Journal of Environmental Planning and Management.

    Volume (Year): 46 (2003)
    Issue (Month): 1 ()
    Pages: 79-96

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    Handle: RePEc:taf:jenpmg:v:46:y:2003:i:1:p:79-96

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    Cited by:
    1. Blackwell, Melanie & Pagoulatos, Angelos & Hu, Wuyang & Auchter, Katharine, 2009. "Recreational Demand for Equestrian Trail-Riding," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 38(2), October.
    2. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, EconWPA.
    3. R. Martínez-Espiñeira, 2007. "‘Adopt a Hypothetical Pup’: A Count Data Approach to the Valuation of Wildlife," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 37(2), pages 335-360, June.
    4. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
    5. Amoako-Tuffour, Joe & Martınez-Espineira, Roberto, 2008. "Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination," MPRA Paper 8573, University Library of Munich, Germany.
    6. Mataria, Awad & Donaldson, Cam & Luchini, Stephane & Moatti, Jean-Paul, 2004. "A stated preference approach to assessing health care-quality improvements in Palestine: from theoretical validity to policy implications," Journal of Health Economics, Elsevier, vol. 23(6), pages 1285-1311, November.

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