Using vehicular traffic count data to estimate the factors driving water-based recreation use in northwestern Ontario, Canada
Master of Environmental Studies
DisciplineEnvironmental Studies : Nature-Based Recreation & Tourism
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Within Canada's publicly owned forests (i.e., Crown forests), little information is available about how and when people use lakes and rivers for recreation. I report an example of using traffic monitoring to identify both the spatial and temporal patterns of water-based recreational trips for a set of lakes in northwestern Ontario, Canda. To gather recreational trip data, monitoring devices were strategically located along roads and trails that access lakes. I used information about the lakes, roads and trails and user days to help examine variations in spatial and temporal patterns of recreation demand. A fixed effects negative binomial regression model was used to estimate the effect of physical and temporal attributes on daily traffic counts at the water-based sites.