Go climb a mountain: an application of recreation demand modelling to rock climbing in Scotland
Nick Hanley, Gary Koop, Begoña Á. Farizo, Robert E. Wright, Ceara Nevin
Economic and Social Research Council Council for At-Risk Academics
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In this paper, we apply random utility modelling techniques to rock‐climbing in Scotland. Attributes relevant to choices over rock‐climbing sites were identified from focus groups with climbers, along with a categorisation of principal climbing areas. A survey of climbers yielded 267 responses, which were then used as the basis for modelling. We compare a standard multi‐nominal logit model with a random parameters approach, and look at seasonal differences in behaviour, and at the implications of different treatments of travel time. The random utility models showed that most of the attributes selected were significant determinants of choice. Welfare estimates of changes in site attributes are presented, which are relevant to policy choices currently facing land managers.
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