Ecological criteria, participant preferences and location models: A GIS approach toward ATV trail planning

Stephanie A. Snyder; Jay H. Whitmore; Ingrid E. Schneider; Dennis R. Becker

doi:10.1016/j.apgeog.2008.07.001

Ecological criteria, participant preferences and location models: A GIS approach toward ATV trail planning

Stephanie A. Snyder, Jay H. Whitmore, Ingrid E. Schneider, Dennis R. Becker

Forest Resources

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

Abstract

This paper presents a geographic information system (GIS)-based method for recreational trail location for all-terrain vehicles (ATVs) which considers environmental factors, as well as rider preferences for trail attributes. The method utilizes the Least-Cost Path algorithm within a GIS framework to optimize trail location. The trail location algorithm considered trail impacts and benefits associated with water bodies, slope, land ownership, noise, trail separation, views, and rider preferences for vegetation types and loop trails. Alternative trails were generated to highlight the influence of different preferences for trail attributes and to demonstrate the capabilities of the Least-Cost Path algorithm as applied to trail location. The method shows promise for use in generating ATV trails, as well as other types of recreational trails, for consideration in recreational planning and analysis.

Original language	English (US)
Pages (from-to)	248-258
Number of pages	11
Journal	Applied Geography
Volume	28
Issue number	4
DOIs	https://doi.org/10.1016/j.apgeog.2008.07.001
State	Published - Oct 2008

Bibliographical note

Funding Information:
This research was funded by the US Forest Service, Northern Research Station. The authors are grateful for data received from the MN DNR, and wish to thank Kent Gustafson for facilitating the focus groups and Anthony Schoenecker for his coordination and efforts with focus group data analysis. We are grateful to Dale Weigel of the Hoosier National Forest for advice on the Least-Cost Path algorithm in ArcGIS ® . We are also grateful to Robert Potts and Herbert Schroeder for providing constructive comments on an earlier version of this manuscript.

Keywords

Dijkstra algorithm
GIS
Least-cost path
Motorized recreation
Trail design

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title = "Ecological criteria, participant preferences and location models: A GIS approach toward ATV trail planning",

abstract = "This paper presents a geographic information system (GIS)-based method for recreational trail location for all-terrain vehicles (ATVs) which considers environmental factors, as well as rider preferences for trail attributes. The method utilizes the Least-Cost Path algorithm within a GIS framework to optimize trail location. The trail location algorithm considered trail impacts and benefits associated with water bodies, slope, land ownership, noise, trail separation, views, and rider preferences for vegetation types and loop trails. Alternative trails were generated to highlight the influence of different preferences for trail attributes and to demonstrate the capabilities of the Least-Cost Path algorithm as applied to trail location. The method shows promise for use in generating ATV trails, as well as other types of recreational trails, for consideration in recreational planning and analysis.",

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author = "Snyder, {Stephanie A.} and Whitmore, {Jay H.} and Schneider, {Ingrid E.} and Becker, {Dennis R.}",

note = "Funding Information: This research was funded by the US Forest Service, Northern Research Station. The authors are grateful for data received from the MN DNR, and wish to thank Kent Gustafson for facilitating the focus groups and Anthony Schoenecker for his coordination and efforts with focus group data analysis. We are grateful to Dale Weigel of the Hoosier National Forest for advice on the Least-Cost Path algorithm in ArcGIS {\textregistered} . We are also grateful to Robert Potts and Herbert Schroeder for providing constructive comments on an earlier version of this manuscript.",

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AU - Schneider, Ingrid E.

AU - Becker, Dennis R.

N1 - Funding Information: This research was funded by the US Forest Service, Northern Research Station. The authors are grateful for data received from the MN DNR, and wish to thank Kent Gustafson for facilitating the focus groups and Anthony Schoenecker for his coordination and efforts with focus group data analysis. We are grateful to Dale Weigel of the Hoosier National Forest for advice on the Least-Cost Path algorithm in ArcGIS ® . We are also grateful to Robert Potts and Herbert Schroeder for providing constructive comments on an earlier version of this manuscript.

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KW - Dijkstra algorithm

KW - GIS

KW - Least-cost path

KW - Motorized recreation

KW - Trail design

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Ecological criteria, participant preferences and location models: A GIS approach toward ATV trail planning

Abstract

Bibliographical note

Keywords

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