Effects of Low-Carbon Visualizations in Landscape Design Based on Virtual Eye-Movement Behavior Preference

Zhengsong Lin, Yuting Wang, Xinyue Ye, Yuxi Wan, Tianjun Lu and Yu Han
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Zhengsong Lin: Virtual Landscape Design Laboratory, School of Art and Design, Wuhan Institute of Technology, Wuhan 430205, China
Yuting Wang: Virtual Landscape Design Laboratory, School of Art and Design, Wuhan Institute of Technology, Wuhan 430205, China
Xinyue Ye: Urban Data Science Laboratory, Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77840, USA
Yuxi Wan: School of Art, Hubei University, Wuhan 430062, China
Tianjun Lu: Department of Earth Science and Geography, California State University, Dominguez Hills, Carson, CA 90747, USA
Yu Han: Urban Data Science Laboratory, Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77840, USA

Land, 2022, vol. 11, issue 6, 1-17

Abstract: Three-dimensional geovisualization in landscape design can be used to evaluate the efforts of mitigating CO 2 emissions. This study evaluated subjects’ emotional preferences for 3D landscape design through an eye movement tracking experiment. In the case that the color of the building materials was positively correlated with low carbon emissions, green, blue, and gray were typical representatives of low carbon emissions. Through the eye movement tracking experiment, subjects’ emotional preferences for different building colors were obtained. The results show that the fixation trajectory is consistent with the preset green and energy saving parameters, and the design effect of the architectural landscape can be evaluated by detecting virtual eye movement tracking. There is a coupling relationship between virtual eye movement tracking, expert interviews, and evaluation results, so that it presents a logical relationship between virtual eye movement, the color of low-carbon materials, and carbon emissions. In addition, the affective preference analysis and entropy weight method confirmed their effectiveness in the evaluation of the 3D landscape design effect, which had a positive impact on the CO 2 emission reduction of the construction industry. These results will contribute to the development of 3D landscape design in the architecture industry and provide new ideas and methods for the carbon peak project.

Keywords: virtual reality; eye-tracking; behavioral preference; landscape design (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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