Predicting the Scenic Beauty Value of Mapped Landscape Changes in a Mountainous Region through the Use of GIS

Adrienne Grêt-Regamey, Ian D Bishop and Peter Bebi
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Adrienne Grêt-Regamey: ETH Zürich, Institute for Spatial and Landscape Planning, HIL H32.1, Wolfgang-Pauli-Strasse 15, 8093 Zürich, Switzerland
Ian D Bishop: Department of Geomatics, University of Melbourne, Victoria 3010, Australia
Peter Bebi: WSL Swiss Federal Institute for Snow and Avalanche Research, Research Unit Ecosystem Boundaries, Fluelastrasse 11, 7260 Davos, Switzerland

Environment and Planning B, 2007, vol. 34, issue 1, 50-67

Abstract: Planning frequently fails to include the valuation of public goods, such as scenic beauty. This can lead to negative economic impacts for a region over the longer term. Especially in mountainous regions such as the Alps in central Europe, which depend on tourist income, the change of landscape views through the development of facilities for recreation and tourism may negatively affect the tourism experience, and hence the economy. In this study we present a prototypical technique to predict preferences for views using geographic information system (GIS)-based variables. A three-dimensional GIS including the effects of slope, aspect, and distance, as well as the height of landscape features, is developed to calculate the proportion of land-cover areas that make up the view. A Web-based survey is used to gather data on scenic preferences for landscape changes in the region around Davos (Switzerland). Willingness-to-pay (WTP) responses are used to identify preferred landscapes. A forced-choice questionnaire asks participants to compare pairs of landscape photographs. Two original pictures were digitally altered to visually represent landscape change scenarios developed for the study area. The visual magnitudes of the different land-cover areas are found to be correlated with the WTP values expressed by the respondents. The relationship is used to predict changes in scenic values for another view in the region. The approach presented in this paper could be useful in regional planning to estimate the influence of view components on people's preferences.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:34:y:2007:i:1:p:50-67

DOI: 10.1068/b32051

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