1 / 11

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

yehudi
Download Presentation

Individual Recreation Use & value as a function of Stream features

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

More Related