Abstract
The demand for most recreation activities is weather dependent. In this paper we study this weather dependence for a high number of recreation sites across the Austrian Province of Styria. We divide the recreation sites into three categories: bathing, outdoor and indoor. For the three categories of facilities we can find different patterns of weather dependence which go along with findings in the existing literature. While demand for bathing sites increases with increasing temperature, the demand for outdoor sites increases up to a threshold temperature and decreases afterwards. Finally, we find that demand for indoor activities is negatively related to temperature. In addition to the illustration of the weather dependence, we use a simple warehouse model to demonstrate for three examples to what extend managers of recreation site could profit from the knowledge of weather dependence of the demand.
Highlights
Besides calendric effects like holidays, weekdays or special events, a major factor in the variability of attendance in recreation sites is the actual weather condition
Whereas for outdoor recreation sites “nice” weather would imply a higher number of visitors, indoor recreation sites will be used as alternatives on days with bad weather
In addition we provide the savings which is the difference between the expected costs when using the model without weather variables and the model with weather variables (WEDDA forecast)
Summary
Besides calendric effects like holidays, weekdays or special events, a major factor in the variability of attendance in recreation sites is the actual weather condition. Whereas for outdoor recreation sites “nice” weather would imply a higher number of visitors, indoor recreation sites will be used as alternatives on days with bad weather. This will lead to a different weather dependent demand function depending on the type of activity. A further motivation for the collection of the weather dependence of recreation activities comes from touristic demand research. In addition [2], quantifies the impact of weather parameters on the participation in a scenic flight operation and a visitor center in the township of Franz Josef, both in New Zealand. How the spatio-temporal behaviour of tourists is influenced by weather conditions is analysed by the use of GPS and GIS tools [5]
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