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Individual Recreation Use & value as a function of Stream features

Individual Recreation Use & value as a function of Stream features. Prepared by: Juan Marcos González & John B. Loomis Dept. of Agricultural and Resource Economics Colorado State University. Travel Cost Model (TCM). Recreation Demand Model

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Individual Recreation Use & value as a function of Stream features

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  1. Individual Recreation Use & value as a function of Stream features Prepared by: Juan Marcos González & John B. Loomis Dept. of Agricultural and Resource Economics Colorado State University

  2. Travel Cost Model (TCM) • Recreation Demand Model • Takes advantage of the fact that each individual visit to a recreation site involves an implicit transaction of travel cost. • People choose the number of visits during a season. • Individual site use is estimated.

  3. Travel Cost Model (TCM) • The individual demand for seasonal visits to the sites considered is defined as: • rijis the number trips taken in a season by individual i to site j • pjis the cost associated to site j • vjis a vector of characteristics site j has • mi stands for the income • zirepresent a set of particular individual characteristics of the visitor

  4. Recreation Variables Final Recreation Model Hydrology & Recreation Model Biology & Recreation Model Final Full Model

  5. Hypothesis Tests • Overall Hypothesis • Are commonly measured hydrologic variables statistically significant (e.g. cfs) in recreation demand model? • Are additional site specific field measurement hydrological variables statistically significant in a recreation demand model? • Do these additional hydrologic variables add explanatory power?

  6. Study Area

  7. Data Collection • Location • El Yunque, Caribbean National Forest. • Eastern part of the island of Puerto Rico in the Caribbean Region. • Sites • Visitors from 11 sites were surveyed. • Espiritu Santo • Mameyes • In person interviews • Interviews were done by UPR students during summer 2005. • Included weekdays, weekends and holydays. • Questions included visitor demographics, number of visits and perceived site conditions.

  8. Results Recreation

  9. Results Hydrology & Recreation

  10. Conclusions • Std Hydrological Variables such as stream flow, pool size, waterfall have a statistically significant effect on recreation use. • With these variables included, bedrock, mean annual discharge, average unit stream power are not statistically significant. • These additional hydrologic variables did not add any explanatory power beyond the Std Hydrological Variables

  11. Questions

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