Recreational Site Choice Modelling Using High-Resolution Spatial Data

Bibliographic Data

ID5008090
AuthorsMette Termansen (0000-0003-4875-2810, University of York, corresponding author), Colin J Mcclean (0000-0002-5457-4355, University of York, corresponding author), Hans Skov-Petersen (0000-0003-3383-7221, corresponding author)
Year2004
Volume36
Issue6
Pages1085-1099
Publication date2004-06-01
Open AccessNo
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a36164
OpenAlexW2029870835
LanguageEN
Citations received9

Geographic information systems (GIS) offer attractive tools for modelling recreational behaviour. In this paper GIS is combined with a discrete choice modelling approach to investigate the importance of landscape attributes for determining forest recreational choices. A new large Danish national dataset (28 947 recreational trips) is used in conjunction with an area information system and information on other site attributes to estimate a recreational choice model. A wide set of landscape characteristics influencing recreational choice is identified. These are the size of the forest patch and adjacency or distance to other land-cover types. The area of the forest patch was found to have a positive marginally declining effect. Adjacency to other seminatural areas was found to have a positive effect. The results show that the parameter estimates depend critically on the choice-set specification and that the size of the choice set needs to be considerably larger than previous research suggests

Adjacency list · Cartography · Environmental resource management · Geographic information system · Geography · Land cover · Land use · Recreation · Computer Science · Economic and Environmental Valuation · Environmental Science · Forest Management and Policy · Recreation, Leisure, Wilderness Management · Ecology

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