Abstract
Skiing heavily relies on specific weather and environmental conditions to make participation both feasible and enjoyable. The lack of published research on the relationships among ski activity, weather, and climate is, therefore, surprising, especially in light of mounting evidence regarding climate change. The analyses of the influence of daily weather variations on daily ski lift ticket sales at two Michigan ski resorts presented here appear to be the first of their kind. Results suggest that weather variables such as minimum and maximum temperature, snow depth, and wind chill do indeed have a statistically significant impact on downhill ski lift ticket sales. The regression models developed could be used by outdoor recreation and tourism providers for both short-term decision making and longer-term planning and management activities, in particular those involving consideration of climate change and potential adaptation strategies.
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