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Analysis and Optimization of Landscape Preference Characteristics of Rural Public Space Based on Eye-Tracking Technology: The Case of Huangshandian Village, China

Author

Listed:
  • Tingting Su

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Kaiping Wang

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Shuangshuang Li

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Xinyan Wang

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Huan Li

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Huanru Ding

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Yanfei Chen

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Chenhui Liu

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Min Liu

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

  • Yunlu Zhang

    (School of Landscape Architecture, Beijing Forestry University, 35 Qinghua East Road, Haidian District, Beijing 100083, China)

Abstract

As an important part of rural space, the public space landscape has a positive influence on tourists and local residents, and also has an important guiding significance for the sustainable development of rural areas. This study expands the previous research on rural public space, taking the “user-oriented” landscape preference as an important entry point, taking Beijing rural public space as the research object, using eye-tracking technology to objectively reflect the degree of users’ preference for the landscape, making quantitative analysis through eye-tracking objective data and subjective satisfaction evaluation to explore the subconscious and aesthetic laws of the subjects, and summarizing the internal driving factors leading to its evolution from the summary of phenomena. This paper explores the visual behavior information and significance behind the “subjective space” created by the countryside for the users, intending to provide strategies for landscape optimization and the management of rural public space in an effort to aid the sustainable development of the countryside.

Suggested Citation

  • Tingting Su & Kaiping Wang & Shuangshuang Li & Xinyan Wang & Huan Li & Huanru Ding & Yanfei Chen & Chenhui Liu & Min Liu & Yunlu Zhang, 2022. "Analysis and Optimization of Landscape Preference Characteristics of Rural Public Space Based on Eye-Tracking Technology: The Case of Huangshandian Village, China," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:212-:d:1012415
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    References listed on IDEAS

    as
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