Literature DB >> 23974903

Who visits a national park and what do they get out of it?: a joint visitor cluster analysis and travel cost model for Yellowstone National Park.

Charles Benson1, Philip Watson, Garth Taylor, Philip Cook, Steve Hollenhorst.   

Abstract

Yellowstone National Park visitor data were obtained from a survey collected for the National Park Service by the Park Studies Unit at the University of Idaho. Travel cost models have been conducted for national parks in the United States; however, this study builds on these studies and investigates how benefits vary by types of visitors who participate in different activities while at the park. Visitor clusters were developed based on activities in which a visitor participated while at the park. The clusters were analyzed and then incorporated into a travel cost model to determine the economic value (consumer surplus) that the different visitor groups received from visiting the park. The model was estimated using a zero-truncated negative binomial regression corrected for endogenous stratification. The travel cost price variable was estimated using both 1/3 and 1/4 the wage rate to test for sensitivity to opportunity cost specification. The average benefit across all visitor cluster groups was estimated at between $235 and $276 per person per trip. However, per trip benefits varied substantially across clusters; from $90 to $103 for the "value picnickers," to $185-$263 for the "backcountry enthusiasts," $189-$278 for the "do it all adventurists," $204-$303 for the "windshield tourists," and $323-$714 for the "creature comfort" cluster group.

Entities:  

Mesh:

Year:  2013        PMID: 23974903     DOI: 10.1007/s00267-013-0143-4

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  4 in total

1.  Valuing coral reefs: a travel cost analysis of the Great Barrier Reef.

Authors:  Liam Carr; Robert Mendelsohn
Journal:  Ambio       Date:  2003-08       Impact factor: 5.129

2.  Valuation of national park system visitation: the efficient use of count data models, meta-analysis, and secondary visitor survey data.

Authors:  Christopher Neher; John Duffield; David Patterson
Journal:  Environ Manage       Date:  2013-05-29       Impact factor: 3.266

3.  Estimating the economic value of national parks with count data models using on-site, secondary data: the case of the great sand dunes national park and preserve.

Authors:  Matthew T Heberling; Joshua J Templeton
Journal:  Environ Manage       Date:  2008-05-28       Impact factor: 3.266

4.  Is love of nature in the US becoming love of electronic media? 16-year downtrend in national park visits explained by watching movies, playing video games, internet use, and oil prices.

Authors:  Oliver R W Pergams; Patricia A Zaradic
Journal:  J Environ Manage       Date:  2006-03-30       Impact factor: 6.789

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.