Wilderness and Primitive Area Recreation Participation and Consumption: An Examination of Demographic and Spatial Factors

This paper explores the influence of demographic and spatial variables on individual participation and consumption of wildland area recreation. Data from the National Survey on Recreation and the Environment are combined with geographical information system-based distance measures to develop nonlinear regression models used to predict both participation and the number of days of participation in wilderness and primitive area recreation. The estimated models corroborate previous findings indicating that race (black), ethnicity (Hispanic), immigrant status, age, and urban dwelling are negatively correlated with wildland visitation, while income, gender (male), and education positively affect wild-land recreation participation and use. The presence of a distance or proximity factor mitigates some of the influence of race and ethnicity. The results of the cross-sectional models are combined with U.S. Census projections of total population, changes in population characteristics, and estimates of current National Forest Wilderness visitation estimates to give some insight into pressure that might be expected on the nation's designated wilderness during the next half century. Results generally indicate that per-capita participation and visitation rates will decline over time as society changes. Total wilderness participation and visitation will, however, increase, but at a rate less than population growth.

[1]  H. K. Cordell,et al.  The Multiple Values of Wilderness , 2005 .

[2]  J. Bowker,et al.  Wilderness Values in America: Does Immigrant Status or Ethnicity Matter? , 2004 .

[3]  J. Bowker,et al.  A Contingent Trip Model for Estimating Rail-trail Demand , 2003 .

[4]  H. K. Cordell,et al.  Recreation and the Environment as Cultural Dimensions in Contemporary American Society , 2002 .

[5]  H. K. Cordell,et al.  Footprints on the Land: An Assessment of Demographic Trends and the Future of Natural Lands in the United States , 2001 .

[6]  J. Bowker,et al.  A travel cost analysis of nonconsumptive wildlife-associated recreation in the United States , 2000 .

[7]  Dorceta E. Taylor Meeting the Challenge of Wild Land Recreation Management: Demographic Shifts and Social Inequality , 2000 .

[8]  H. K. Cordell,et al.  User Fees for Recreation Services on Public Lands: A National Assessment , 1999 .

[9]  J. Loomis Do Additional Designations of Wilderness Result in Increases in Recreation Use , 1999 .

[10]  Wiktor L. Adamowicz,et al.  Statistical Properties of Welfare Measures from Count-Data Models of Recreation Demand , 1993 .

[11]  Jon R. Miller,et al.  Determinants of Hunter Participation: Duck Hunting in the Mississippi Flyway , 1981 .

[12]  H. K. Cordell,et al.  The net economic value of wilderness , 2005 .

[13]  S. Zarnoch,et al.  Forest Service National Visitor Use Monitoring Process: Research Method Documentation , 2002 .

[14]  J. Bowker Outdoor recreation by Alaskans: projections for 2000 through 2020. , 2001 .

[15]  H. K. Cordell,et al.  Outdoor Recreation Constraints: An Examination of Race, Gender, and Rural Dwelling , 2001 .

[16]  A. Watson Wilderness Use in the Year 2000: Societal Changes That Influence Human Relationships With Wilderness , 2000 .

[17]  H. K. Cordell,et al.  Outdoor Recreation in American Life: A National Assessment of Demand and Supply Trends , 1999 .

[18]  R. R. Hamm,et al.  Modeling demographic change and characteristics in the analysis of future demand for leisure services. , 1990 .

[19]  A. H. Watson,et al.  Outdoor recreation benchmark 1988 : proceedings of the National Outdoor Recreation Forum, Tampa, Florida, January 13-14, 1988 , 1989 .