Predicting outdoor recreation demand on a national scale – The case of Switzerland. (December 2019)

• Record Type: Journal Article
• Authors: Willibald, Fabian; van Strien, Maarten J.; Blanco, Victor; Grêt-Regamey, Adrienne
• Is Part Of: Applied geography. Volume 113(2020)
• Publication Date: 2019-12
• Subjects: Revealed preferences -- Generalized linear model -- Landscape characteristics -- Accessibility; Geography -- Periodicals; Human geography -- Periodicals; Human ecology -- Periodicals; 910
• DOI: 10.1016/j.apgeog.2019.102111
• Languages: English
• ISSNs: 0143-6228

Abstract

Abstract: Residents of industrialized countries place increasingly more value on outdoor recreation. For many alpine and remote municipalities, revenues from tourism and recreation belong to the most important sources of income. At the same time, these activities generate large carbon footprints through traffic. In order to understand what drives the demand for outdoor recreation, we used a set of Generalized Linear Models to explain how landscape properties and accessibility are related to revealed outdoor recreation demand (i.e. number of day trips received by Swiss municipalities), and which variables are most important to predict demand for outdoor recreation day trips on a national scale. While many authors have demonstrated that accessibility is a crucial variable to explain demand for outdoor recreation, our results show that population density and the number of land-use/-cover classes per municipality are among the main drivers of demand for outdoor recreation. This calls for a careful spatial planning, including the consideration of the increased demand for recreation generated by resident population growth. Furthermore, securing an attractive landscape requires policies supporting diverse land management practices. Ultimately, our results can help planners in their decision-making, including those to support a more sustainable mobility in the future. Highlights: We use Generalized Linear Models to determine the drivers of outdoor recreation day trips. We use landscape characteristics and accessibility as explanatory variables. Population density and the number of land use classes are important variables. Accessibility was found to be no important variable. Future population distributions have a large impact on the count of outdoor recreation trips.