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

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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)

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.

Suggested Citation

  • Adrienne Grêt-Regamey & Ian D Bishop & Peter Bebi, 2007. "Predicting the Scenic Beauty Value of Mapped Landscape Changes in a Mountainous Region through the Use of GIS," Environment and Planning B, , vol. 34(1), pages 50-67, February.
    • Handle: RePEc:sae:envirb:v:34:y:2007:i:1:p:50-67
    DOI: 10.1068/b32051
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    References listed on IDEAS

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    1. Guy Garrod & Kenneth G. Willis, 1999. "Economic Valuation of the Environment," Books, Edward Elgar Publishing, number 1368.
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    1. Olschewski, Roland & Bebi, Peter & Teich, Michaela & Wissen Hayek, Ulrike & Grêt-Regamey, Adrienne, 2012. "Avalanche protection by forests — A choice experiment in the Swiss Alps," Forest Policy and Economics, Elsevier, vol. 17(C), pages 19-24.
    2. Rewitzer, Susanne & Huber, Robert & Grêt-Regamey, Adrienne & Barkmann, Jan, 2017. "Economic valuation of cultural ecosystem service changes to a landscape in the Swiss Alps," Ecosystem Services, Elsevier, vol. 26(PA), pages 197-208.
    3. Jacinto Garrido-Velarde & María Jesús Montero-Parejo & Julio Hernández-Blanco & Lorenzo García-Moruno, 2018. "Visual Analysis of the Height Ratio between Building and Background Vegetation. Two Rural Cases of Study: Spain and Sweden," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    4. Ryffel, Andrea Nathalie & Rid, Wolfgang & Grêt-Regamey, Adrienne, 2014. "Land use trade-offs for flood protection: A choice experiment with visualizations," Ecosystem Services, Elsevier, vol. 10(C), pages 111-123.

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