| Sumario: | The writers outline how they developed a model to anticipate the number of visitors to a recreational woodland in eastern England, Thetford Forest's Lynford Stag, by integrating data from several sources within a geographical information system (GIS). They undertook such a task because of the rarity of previous efforts to include in a single arrivals model visitor demand functions that incorporate travel time, demographic, and substitute factors, on the development of which successful benefit transfer must necessarily rely. They classify variables into discrete groups that were gathered into comparatively homogeneous zones from which to determine visit rates. In addition, in order to evaluate the impact of each determinant, they apply Poisson regression techniques in a stepwise procedure. They point out that their investigation highlighted both substantial promise and some caveats in employing GIS for future benefit transfer work.
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