Vandalism and Outdoor Recreation

Vandalism and Outdoor Recreation

Author: Pacific Southwest Forest and Range Experiment Station (Berkeley, Calif.)

Publisher:

Published: 1976

Total Pages: 80

ISBN-13:

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Resource managers, law enforcement officers, designers, and social scientists provide 24 papers giving an overview of vandalism on outdoor recreation areas; a measure of the difficult control problems which must be solved; some insights for design of buildings, fixtures, and site layouts to reduce or repel vandalism; and a profile of vandals, with respect to the potential for reducing their activities through understanding of social-psychological factors. Recommendations prepared by panelists and symposium participants summarize the views presented and suggest measures for control of vandalism on outdoor recreation areas.


Area-specific Recreation Use Estimation Using the National Visitor Use Monitoring Program Data

Area-specific Recreation Use Estimation Using the National Visitor Use Monitoring Program Data

Author: Eric M. White

Publisher:

Published: 2007

Total Pages: 28

ISBN-13:

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Estimates of national forest recreation use are available at the national, regional, and forest levels via the USDA Forest Service National Visitor Use Monitoring (NVUM) program. In some resource planning and management applications, analysts desire recreation use estimates for subforest areas within an individual national forest or for subforest areas that combine portions of several national forests. In this research note we have detailed two approaches whereby the NVUM sampling data may be used to estimate recreation use for a subforest area within a single national forest or for a subforest area combining portions of more than one national forest. The approaches differ in their data requirements, complexity, and assumptions. In the "new forest" approach, recreation use is estimated by using NVUM data obtained only from NVUM interview sites within the area of interest. In the "all-forest information" approach, recreation use is estimated by using sample data gathered on all portions of the national forest(s) that contain the area of interest.