Abstract
The perception of the visual landscape impact is a significant factor explaining the public’s acceptance of energy infrastructure developments. Yet, there is lack of knowledge how people perceive and accept power lines in certain landscape types and in combination with wind turbines, a required setting to achieve goals of the energy turnaround. The goal of this work was to demonstrate how 3D point cloud visualizations could be used for an eye tracking study to systematically investigate the perception of landscape scenarios with power lines. 3D visualizations of near-natural and urban landscapes were prepared based on data from airborne and terrestrial laser scanning. These scenes were altered with varying amounts of the respective infrastructure, and they provided the stimuli in a laboratory experiment with 49 participants. Eye tracking and questionnaires served for measuring the participants’ responses. The results show that the point cloud-based simulations offered suitable stimuli for the eye tracking study. Particularly for the analysis of guided perceptions, the approach fostered an understanding of disturbing landscape elements. A comparative in situ eye tracking study is recommended to further evaluate the quality of the point cloud simulations, whether they produce similar responses as in the real world.
Highlights
Public acceptance of landscape changes due to energy infrastructure developments is a crucial issue in the implementation of the ongoing energy transition towards alternative energy sources [1,2].With increasing energy production from decentralized renewable energy infrastructures, it is essential to expand the transmission network to keep the security of supply at a high level [3,4]
We demonstrate how innovative 3D point cloud visualizations can be used for an eye tracking study to systematically investigate these questions
The goal of this paper is to demonstrate an example of a perception study using 3D point clouds for eye tracking
Summary
Public acceptance of landscape changes due to energy infrastructure developments is a crucial issue in the implementation of the ongoing energy transition towards alternative energy sources [1,2].With increasing energy production from decentralized renewable energy infrastructures, it is essential to expand the transmission network to keep the security of supply at a high level [3,4]. Public acceptance of landscape changes due to energy infrastructure developments is a crucial issue in the implementation of the ongoing energy transition towards alternative energy sources [1,2]. Public acceptance of new power lines is generally low, causing social resistance and in turn leading to project delays and increasing costs for the necessary grid expansion [5]. The acceptance of power lines is higher when people see the grid expansion as a necessary measure because of decentralized energy production [7]. There is lack of in-depth understanding how people perceive and accept power lines in certain landscape types and in combination with further infrastructure such as wind turbines. We demonstrate how innovative 3D point cloud visualizations can be used for an eye tracking study to systematically investigate these questions
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