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RBSim: Geographic Simulation of Wilderness Recreation Behavior

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Simulation techniques are used to explore the complex spatial interactions between recreationists and their environment as a way to improve wildland recreation management. The Recreation Behavior Simulator (RBSim) uses rule-driven autonomous agents as surrogates for human visitors coupled with geographic information systems to represent the environment for dynamically simulating recreation behavior. Behavioral rules are derived from visitor surveys conducted in Broken Arrow Canyon, Sedona, Arizona. Model runs allow both statistical and spatial analysis to quantify and explore recreationists' movement patterns, encounters, and the influence of management actions on visitor use levels.

Keywords: computer simulation; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; multiple use; natural resource management; natural resources; recreation

Document Type: Miscellaneous

Affiliations: 1: Professor School of Renewable Natural Resources, University of Arizona, Tucson, AZ, 85721, 2: Professor Emeritus School of Forestry, College of Ecosystem Science and Management, Northern Arizona University, Flagstaff 3: Senior Research Fellow Department of Geomatics, Faculty of Engineering, University of Melbourne, Parkville, Australia

Publication date: April 1, 2001

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

    Also published by SAF:
    Forest Science
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