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Is there any difference between the owners and the public in their visual impact assessments?——A case study of the front garden of multi-storey residential buildings

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  • Tao Gu
  • Chenping Han
  • Mengmeng Zhao
  • Lin Zhang
  • Zhongju Yang
  • Jian Zhang

Abstract

As a special garden unique to China, the front garden of multi-storey residential buildings has certain public attributes but is managed by a single owner. In this study, the front gardens of multi-storey residential buildings in Jiangsu province, China, were set as research object. Meanwhile, the size of garden, plant type, plant vertical structure, color number, plant coverage, and fence material were chosen as the landscape features to be explored. Then the experiments were conducted to reveal the visual impact assessment rendered by the public with different demographic attributes and the results obtained were analyzed. As is indicated by the statistical analysis, significant differences exist between the owners and the public in their visual impact assessments of the front gardens; the six landscape features are the main factors that influence the public’s visual impact assessment; and the public with different demographic attributes would render different visual impact assessments of front gardens. This study offers valuable help for the design of front gardens of multi-storey residential buildings.

Suggested Citation

  • Tao Gu & Chenping Han & Mengmeng Zhao & Lin Zhang & Zhongju Yang & Jian Zhang, 2024. "Is there any difference between the owners and the public in their visual impact assessments?——A case study of the front garden of multi-storey residential buildings," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-21, January.
    • Handle: RePEc:plo:pone00:0296519
    DOI: 10.1371/journal.pone.0296519
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    References listed on IDEAS

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    1. Lucia Filova & Jiri Vojar & Kamila Svobodova & Petr Sklenicka, 2015. "The effect of landscape type and landscape elements on public visual preferences: ways to use knowledge in the context of landscape planning," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(11), pages 2037-2055, November.
    2. Wu, Chao & Du, Yihao & Li, Sheng & Liu, Pengyu & Ye, Xinyue, 2022. "Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green space," Land Use Policy, Elsevier, vol. 115(C).
    3. Molnarova, Kristina & Sklenicka, Petr & Stiborek, Jiri & Svobodova, Kamila & Salek, Miroslav & Brabec, Elizabeth, 2012. "Visual preferences for wind turbines: Location, numbers and respondent characteristics," Applied Energy, Elsevier, vol. 92(C), pages 269-278.
    4. Ioan Voicu & Vicki Been, 2008. "The Effect of Community Gardens on Neighboring Property Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(2), pages 241-283, June.
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