alexa The Use of Weather Driven Demand Analysis in Recreation
ISSN: 2167-0269

Journal of Tourism & Hospitality
Open Access

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Research Article

The Use of Weather Driven Demand Analysis in Recreation Site Management

Prettenthaler F*, Kortschak D and Ortmann P

Joanneum Research Forschungsgesellschaft mbH, Institute for Economic and Innovation Research, Leonhardstraße 59, 8010 Graz, Austria

*Corresponding Author:
Franz Prettenthaler
Joanneum Research Forschungsgesellschaft mbH
Institute for Economic and Innovation Research
Leonhardstraße 59, 8010 Graz, Austria
Tel: 43-316-876-1455
Fax: 43-316-8769-1455
E-mail: [email protected]

Received Date: November 16, 2015; Accepted Date: December 30, 2015; Published Date: December 31, 2015

Citation: Prettenthaler F, Kortschak D, Ortmann P (2015) The Use of Weather Driven Demand Analysis in Recreation Site Management. J Tourism Hospit 4:188. doi:10.4172/2167-0269.1000188

Copyright: © 2015 Prettenthaler F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



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.


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