Analysis of vehicle use patterns during field training exercises to identify potential roads

Validating a GIS-based multi-criteria method for potential road identification

“…A method for classifying and locating different vehicle movement patterns during a training exercise is needed to support the land management. Ayers et al [15] introduced a multi-criteria approach to identify potential roads and predicted the potential roads formed during a reconnaissance training exercise in the Yakima Training Center (YTC). This paper evaluates the multi-criteria method, and presents the site visit results for each predicted potential road segment at Yakima Training Center.…”

“…Global Positioning System (GPS) can be used for monitoring vehicles' activities during military training exercises [15][16][17]. GPS vehicle tracking data collected at the Yakima Training Center (YTC) in October 2001 was analyzed for vehicle movement patterns.…”

Assessing the impacts of military vehicle traffic on natural areas. Introduction to the special issue and review of the relevant military vehicle impact literature

“…A number of studies have quantified the spatial distribution of actual site usage using a variety of approaches [40,60,62,66,72,[99][100][101][102][103][104][105][106]. Haugen et al [62] used global positioning system based vehicle tracking systems to characterize actual vehicle use patterns.…”

“…This data when combined with vehicle impact data was used to estimate unit/event unique impacts [104]. Ayers et al [99], in the ninth paper of our series, used a similar approach to identify newly formed or unmapped roads based on actual on-site vehicle use. An advantage of this approach is that it captures spatially explicit patterns of actual site usage by vehicles rather than potential use.…”

“…Landscape level studies have been successfully used to: (1) identifying where impacts can occur [89,95,96], (2) identify where impacts are likely to occur [60,72,113,114], (3) identify where impacts actually occur [60,62,66,72,[99][100][101][103][104][105][106][107][108]112], and (4) parameterize spatially explicit ecological models and decision support tools [119][120][121][122][123][124][125].…”