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A decision support system for assessing the perception and acceptance of WTs in high-value landscapes: The case of Chianti Classico (Italy)

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2020 Italy English Publisher:AestimumJournal:Aestimum (issn: 1592-6117,

Authors: Iacopo Bernetti; Lorenzo Bambi; Elena Barbierato; Tommaso Borghini; Irene Capecchi;

doi: 10.13128/aestim-7854

handle: 2158/1211516

A decision support system for assessing the perception and acceptance of WTs in high-value landscapes: The case of Chianti Classico (Italy)

- Summary
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Abstract

Renewable energies are fundamental to future development. Such technologies reduce air pollution and improve air quality; however, they can generate other types of environmental problems, which must be investigated. The location of structures is one of these problems, which involves visual impacts and is a primary factor affecting public reaction. Our work was concerned with the visual impact and the alterations to the landscape made by wind turbines. The main goal was to establish the factors and attributes of a wind farm that determine the perception and aesthetic preferences of people, with a particular emphasis on representatives of Generation Y. This group was chosen because they represent the most dynamic, innovative, and creative social group. Thus, we proposed some design strategies to reduce the visual impact of wind turbines.

Aestimum, Aestimum 76 (2020)

Country

Italy

Related Organizations

Università degli studi di Salerno
Italy
University of Florence
Italy

Keywords

Industries. Land use. Labor, Environmental trade-offs, Eye-tracking, HD28-9999, Wind energy; Eye-tracking; Environmental trade-offs, Wind energy

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average