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The Economic Value of Novel Means of Ascending High Mountain Peaks: A Travel Cost Demand Model of Pikes Peak Cog Railway Riders, Automobile Users and Hikers

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  • John Loomis
  • Catherine Keske

Abstract

In addition to hiking trails, some peaks have alternative transportation routes such as cog railways, trams or roads to reach the summit. The authors use a count data travel cost model to estimate the recreational demand for traditional and novel means of ascending Pikes Peak in Colorado. Their analysis shows statistically significant differences in the demand curve slopes and in the net willingness to pay (consumer surplus) for three categories of recreationists who take alternative means to ascend the mountain. The more exotic or unique the means of ascent, the higher the visitor benefits are. Cog railway and automobile users and those ascending by hiking receive consumer surpluses of US$98, US$54 and US$31, respectively, per day trip.

Suggested Citation

  • John Loomis & Catherine Keske, 2009. "The Economic Value of Novel Means of Ascending High Mountain Peaks: A Travel Cost Demand Model of Pikes Peak Cog Railway Riders, Automobile Users and Hikers," Tourism Economics, , vol. 15(2), pages 426-436, June.
    • Handle: RePEc:sae:toueco:v:15:y:2009:i:2:p:426-436
    DOI: 10.5367/000000009788254313
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    References listed on IDEAS

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    1. Feather, Peter & Shaw, W. Douglass, 1999. "Estimating the Cost of Leisure Time for Recreation Demand Models," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 49-65, July.
    2. Englin Jeffrey & Shonkwiler J. S., 1995. "Modeling Recreation Demand in the Presence of Unobservable Travel Costs: Toward a Travel Price Model," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 368-377, November.
    3. Lambert, David K. & Shaw, W. Douglass, 2000. "Agricultural And Recreational Impacts From Surface Flow Changes Due To Gold Mining Operations," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-14, December.
    4. Keske, Catherine M. & Loomis, John B., 2007. "High Economic Values from High Peaks of the West," Western Economics Forum, Western Agricultural Economics Association, vol. 6(1), pages 1-8.
    5. Creel, Michael D & Loomis, John B, 1991. "Confidence Intervals for Welfare Measures with Application to a Problem of Truncated Counts," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 370-373, May.
    6. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    7. Frank A. Ward, 1984. "Specification Considerations for the Price Variable in Travel Cost Demand Models," Land Economics, University of Wisconsin Press, vol. 60(3), pages 301-305.
    8. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
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