2022
DOI: 10.1016/j.rser.2022.112389
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Reversing visibility analysis: Towards an accelerated a priori assessment of landscape impacts of renewable energy projects

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Cited by 20 publications
(5 citation statements)
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“…Figures that are lower than those found in another study, where 58% of respondents considered the landscape impact of wind energy to be negative (Blanco et al, 2007). In this sense, that these figures are not so representative, even though when the impact to landscapes and environment have been identified as major drivers of social opposition against renewable energy projects, has also been observed in rural areas where hardly any renewable energy projects have been developed, where respondents consider that corrective or compensatory measures could be applied in case of an impact (Tudela Serrano y Molina Ruiz, 2006;Ioannidis et al, 2022). Or even studies indicate how people sometimes attribute a positive aesthetic value to renewable energy projects, as symbols of progress, modernity and development (Zoellner et al, 2008;Enserink et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Figures that are lower than those found in another study, where 58% of respondents considered the landscape impact of wind energy to be negative (Blanco et al, 2007). In this sense, that these figures are not so representative, even though when the impact to landscapes and environment have been identified as major drivers of social opposition against renewable energy projects, has also been observed in rural areas where hardly any renewable energy projects have been developed, where respondents consider that corrective or compensatory measures could be applied in case of an impact (Tudela Serrano y Molina Ruiz, 2006;Ioannidis et al, 2022). Or even studies indicate how people sometimes attribute a positive aesthetic value to renewable energy projects, as symbols of progress, modernity and development (Zoellner et al, 2008;Enserink et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Hydroelectric power plants had the least impact, and wind farms had the greatest impact. In another work, Ioannidis et al [27] examined how to improve and accelerate the process of mitigating the impacts on the landscape through the redevelopment of an RES project visibility analysis. The authors theoretically and practically investigated the calculation of reverse visibility zones (R-ZTV) in the Greek region of Thessaly for significant landscape elements to project the visual impacts of planned wind energy projects on them.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Another area in which the matter of landscape perception has been of great importance is the renewable energy transition. During the first decades of this transition, it has been very challenging to predict and mitigate the impact of renewable energy structures and equipment on landscapes [9,10], and the lack of detailed perception has been one of the causes of this. Eventually, this has led to increased risks for projects during their planning and construction phases, originating from potential public opposition movements motivated by negative perceptions from a landscape impact context [11].…”
Section: Introduction 1architecture Landscapes and Public Perceptionmentioning
confidence: 99%
“…Thus, renewable energy projects have been facing challenges and opposition with landscape-related motivation [12,13], which have been associated with significant economic damages (on the scale of $billions) [11,14] and developmental issues associated with delays in the implementation of renewable energy goals, e.g., in the EU of the Renewable Energy Directives and the European Green Deal [15]. A better understanding of both the perception of such infrastructure per se and of the perceived quality of living environments of citizens is crucial in order to be able to optimize the design and planning [16,17] of such works [9,18], avoiding problematic locations and protecting highly perceived ones.…”
Section: Introduction 1architecture Landscapes and Public Perceptionmentioning
confidence: 99%