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Sökning: WFRF:(Gantenbein Remo)

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  • Rabe, Sven-Erik, et al. (författare)
  • Increasing the credibility of expert-based models with preference surveys : mapping recreation in the riverine zone
  • 2018
  • Ingår i: Ecosystem Services. - : Elsevier. - 2212-0416. ; 31, s. 308-317
  • Tidskriftsartikel (refereegranskat)abstract
    • Recreation is a basic human need and therefore must be considered in spatial planning, which requires spatially explicit mapping of the recreation suitability of a landscape. The current methods for this type of mapping have limitations: On one hand, widely used expert-based models for large scale suitability assessments often suffer from discrepancies between the mapped values from expert assessment and actual user preferences. On the other hand, elicitation of personal preferences of potential users is complex and time-consuming, and their applicability to larger scales is limited.In this paper, we demonstrate the development of a spatially explicit model for the recreation suitability of the riverine zone that integrates the preferences of the users with an expert-based modeling process. First, we conducted an analytic hierarchy process (AHP) with experts to generate four different model variants based on physical variables. These model variants differ in terms of the strength of the influence of the variables on the recreation suitability. Second, an online survey was used to gather data on user preferences for various river sections with regard to recreation. A comparison of the expert model results with the preferences of the potential users shows a clear correlation between one model variant and the users’ preferences. This result suggests that it is possible to elaborate an expert model which corresponds to the preferences of users.We made the model results available for the planning and development of the riverine zone in the canton of Zurich. To this end, they were integrated in a decision support platform together with other planning-relevant information.
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Grêt-Regamey, Adrien ... (1)
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