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A GIS-based methodology for predicting walking track stability.

Martin Hawes¹, Grant Dixon, Roger Ling

¹Parks and Wildlife Service, Department of Primary Industries, Parks, Water and Environment, GPO Box 1715, Hobart, Tasmania 7001, Australia.

Journal of Environmental Management

|January 15, 2013

Summary

Managers can now predict walking track (trail) condition using a GIS-based method. This approach aids in prioritizing maintenance and stabilization efforts for extensive trail networks.

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Area of Science:

Environmental Science
Geographic Information Systems (GIS)
Erosion and Sedimentation

Background:

Effective management of extensive walking track (trail) systems requires data on track condition, stability, and deterioration rates.
Ground inspections are often impractical for large-scale trail networks (hundreds to thousands of kilometers).

Purpose of the Study:

To assess the practicality of a GIS-based methodology for predicting track 'types'.
Track types classify environmental and orientation variables linked to characteristic widening and erosion rates.

Main Methods:

Two trials were conducted in Tasmania, Australia, involving field measurements and GIS predictions of track types.
Trial 1 compared predicted types for track segments with measured types at monitoring sites.

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Trial 2 involved field measurement and GIS prediction of track types for numerous track segments across five trails.

Main Results:

The GIS-based methodology showed improved reliability in the second trial, with 50% accurate predictions and 38% off by one category.
Predictions of type distribution showed local bias but closely matched the overall measured distribution.
The methodology was applied to a 1700 km trail system to inform management priorities.

Conclusions:

The GIS-based methodology offers a practical approach to assessing track types and stability for large trail networks.
Further refinement and improved GIS data could enhance the reliability of predicting individual track stability.
This method aids in identifying and prioritizing management interventions, such as track stabilization.