4.7 Article

Impact on the perceived landscape quality through renewable energy infrastructure. A discrete choice experiment in the context of the Swiss energy transition

Journal

RENEWABLE ENERGY
Volume 193, Issue -, Pages 299-308

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2022.04.154

Keywords

Landscape-technology fit; Perceived landscape quality; Mixed renewable energy landscapes; Social acceptance; Discrete choice experiment; Randomized first choice simulation

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This study examines the impact of different mixes of renewable energy infrastructure (wind, photovoltaic, power lines) on people's preferences for various landscape types. The results show that landscapes dominated by settlements or intensive agricultural use and landscapes in mountain tourist areas are preferably selected for renewable energy infrastructure developments, while near natural, mid/high-elevation landscapes in the Alps are clearly rejected. Additionally, scenarios including overhead power lines perform consistently lower than scenarios without power lines. Overall, the study highlights the need for increased awareness and implementation of massive renewable energy infrastructure to achieve a sustainable energy transition.
This paper examines how mixes (wind, photovoltaic, power lines) of different renewable energy infrastructure (REI) impact people's preferences for various landscape types. This does not only involve the visual character but also meanings that are assigned to these landscapes, which together influence the perceived landscape quality. The research is based on a representative online panel survey of Swiss residents (n = 1062). A discrete choice model (15 choice tasks) was implemented to estimate people's preferences for different REI scenarios across several landscape types. Hierarchical Bayes analysis allowed us to determine preferences of the different respondents, while choice simulation allowed us to estimate preferences for every potential scenario (n = 224) of the discrete choice experiment. While the results show a heterogeneous picture of people's preferences, they also reveal common general patterns. Near natural, mid/high-elevation landscapes in the Alps are clearly rejected for REI implementation. Landscapes dominated by settlements or intensive agricultural use and landscapes in mountain tourist areas are preferably selected for REI developments. REI scenarios including overhead power lines perform consistently lower than scenarios without power lines. Overall, high preferences for scenarios with low REI indicate that society still lacks awareness of the need for massive REI implementation to achieve a sustainable energy transition.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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