IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i6p782-d824064.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Zhengsong Lin & Yuting Wang & Xinyue Ye & Yuxi Wan & Tianjun Lu & Yu Han, 2022. "Effects of Low-Carbon Visualizations in Landscape Design Based on Virtual Eye-Movement Behavior Preference," Land, MDPI, vol. 11(6), pages 1-17, May.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:782-:d:824064
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/6/782/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/6/782/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Binyi Liu & Zefeng Lian & Robert D. Brown, 2019. "Effect of Landscape Microclimates on Thermal Comfort and Physiological Wellbeing," Sustainability, MDPI, vol. 11(19), pages 1-13, September.
    2. L. Margolin, 2005. "On the Convergence of the Cross-Entropy Method," Annals of Operations Research, Springer, vol. 134(1), pages 201-214, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu Cao & Cong Xu & Syahrul Nizam Kamaruzzaman & Nur Mardhiyah Aziz, 2022. "A Systematic Review of Green Building Development in China: Advantages, Challenges and Future Directions," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    2. Xinyi Chen & Yuyang Wang & Tao Huang & Zhengsong Lin, 2022. "Research on Digital Experience and Satisfaction Preference of Plant Community Design in Urban Green Space," Land, MDPI, vol. 11(9), pages 1-17, August.
    3. Xinhui Fei & Yanqin Zhang & Deyi Kong & Qitang Huang & Minhua Wang & Jianwen Dong, 2023. "Quantitative Model Study of the Psychological Recovery Benefit of Landscape Environment Based on Eye Movement Tracking Technology," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiang Li & Qiao Pan & You Peng & Tao Feng & Shaobo Liu & Xiaoxi Cai & Chixing Zhong & Yicheng Yin & Wenbo Lai, 2020. "Perceived Quality of Urban Wetland Parks: A Second-Order Factor Structure Equation Modeling," Sustainability, MDPI, vol. 12(17), pages 1-15, September.
    2. Fangyuan Zhang & Jie Ding & Shili Lin, 2017. "Testing for Associations of Opposite Directionality in a Heterogeneous Population," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(1), pages 137-159, June.
    3. Ali Eshragh & Jerzy Filar & Michael Haythorpe, 2011. "A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem," Annals of Operations Research, Springer, vol. 189(1), pages 103-125, September.
    4. Shili Lin & Jie Ding, 2009. "Integration of Ranked Lists via Cross Entropy Monte Carlo with Applications to mRNA and microRNA Studies," Biometrics, The International Biometric Society, vol. 65(1), pages 9-18, March.
    5. Kenneth Y. T. Lim & Minh Anh Nguyen Duc & Minh Tuan Nguyen Thien & Rajamanickam Yuvaraj & Jack S. Fogarty, 2022. "Investigating the Effects of Microclimate on Physiological Stress and Brain Function with Data Science and Wearables," Sustainability, MDPI, vol. 14(17), pages 1-35, August.
    6. Zefeng Lian & Binyi Liu & Robert D. Brown, 2023. "Exploring the Predictive Potential of Physiological Measures of Human Thermal Strain in Outdoor Environments in Hot and Humid Areas in Summer—A Case Study of Shanghai, China," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
    7. Nguyen, Hoa T.M. & Chow, Andy H.F. & Ying, Cheng-shuo, 2021. "Pareto routing and scheduling of dynamic urban rail transit services with multi-objective cross entropy method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    8. Xuefei Wang & Zhiqi Chen & Dawei Ma & Tingting Zhou & Jintang Chen & Xing Jiang, 2023. "Relationship between Visual and Thermal Comfort and Electrodermal Activity in Campus Blue–Green Spaces: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 15(15), pages 1-20, July.
    9. Jingming Qian & Shujiang Miao & Nigel Tapper & Jianguang Xie & Greg Ingleton, 2020. "Investigation on Airport Landscape Cooling Associated with Irrigation: A Case Study of Adelaide Airport, Australia," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    10. Dirk P. Kroese & Sergey Porotsky & Reuven Y. Rubinstein, 2006. "The Cross-Entropy Method for Continuous Multi-Extremal Optimization," Methodology and Computing in Applied Probability, Springer, vol. 8(3), pages 383-407, September.
    11. Ying Zheng & Greg Keeffe & Jasna Mariotti, 2023. "Nature-Based Solutions for Cooling in High-Density Neighbourhoods in Shenzhen: A Case Study of Baishizhou," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    12. Bernhard Scharf & Martha Kogler & Florian Kraus & Igone Garcia Perez & Laura Gutierrez Garcia, 2021. "NBS Impact Evaluation with GREENPASS Methodology Shown by the Case Study ‘Fischbeker Höfe’ in Hamburg/Germany," Sustainability, MDPI, vol. 13(16), pages 1-20, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:782-:d:824064. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.