Assessing landscape preferences: a visual choice experiment in the agricultural region of Märkische Schweiz, Germany

Natural amenities and the aesthetic value of agricultural landscapes are important territorial assets for improving rural tourism and the quality of the living environment. To identify which characteristics shape the visual quality of a landscape, a stated-preference survey was conducted (N = 200) using photorealistic landscape visualisations of four different landscape attributes (point green elements, linear green elements, crop diversity and presence of livestock). We estimated respondents' preferences for landscape attributes, examined the extent of agreement among respondents and identifi... Mehr ...

Verfasser: Fabrizio Ungaro
B.T. van Zanten
Annette Piorr
K. Haefner
Ingo Zasada
Mark J. Koetse
Dokumenttyp: Artikel
Erscheinungsdatum: 2017
Schlagwörter: Netherlands / Aurora Universities Network / SP1-Cooperation / EC / FP7 / Rural Digital Europe / European Commission / Food / Agriculture and Fisheries / and Biotechnology / Management / Monitoring / Policy and Law / Nature and Landscape Conservation / General Environmental Science / Geography / Planning and Development
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27200829
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://www.openaccessrepository.it/record/96423

Natural amenities and the aesthetic value of agricultural landscapes are important territorial assets for improving rural tourism and the quality of the living environment. To identify which characteristics shape the visual quality of a landscape, a stated-preference survey was conducted (N = 200) using photorealistic landscape visualisations of four different landscape attributes (point green elements, linear green elements, crop diversity and presence of livestock). We estimated respondents' preferences for landscape attributes, examined the extent of agreement among respondents and identified socio-economic factors influencing their responses. Results revealed that point elements had the highest general preference. About 70% of respondents preferred diverse and highly structured landscapes, while about 30% of respondents had opposing preferences. Preferences were also found to be dependent on the individual's sociocultural background, such as their level of education, gender or age. These results can help to improve the multi-objective targeting of policies by including an aesthetic value perspective.