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Research on Public Space Micro-Renewal Strategy of Historical and Cultural Blocks in Sanhe Ancient Town under Perception Quantification

Author

Listed:
  • Wenqing Ding

    (College of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China)

  • Qinqin Wei

    (College of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China)

  • Jing Jin

    (College of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China)

  • Juanjuan Nie

    (College of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China)

  • Fanfan Zhang

    (College of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China)

  • Xiaotian Zhou

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

  • Youhua Ma

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

Abstract

The public space environment of historical and cultural blocks is inseparable from human activities, which affects tourists’ behavior and perception activities. Through the evaluation of tourists’ environmental behavior perception, the relationship between spatial characteristics and tourists’ perception is fully considered, which plays an important role in the protection and development of public space in historical and cultural blocks. This paper takes the historical and cultural block of Sanhe Ancient Town in Hefei as the research area, focusing on the public space of the block. Through the analysis of the semantic differential method and eye movement legal quantitative analysis, from the angle of psychological perception and visual perception, we carried out an analysis of the historical and cultural block’s public space, and built the double sense of a comprehensive evaluation system of parsing the historical and cultural blocks with the whole situation of public space and the rule of the performance. The results show that: (1) the visual perception preference for spatial elements is in the order of architectural structure > green landscape > architectural decoration > commercial activities > participants > pavement > street furniture > others. (2) There is a significant correlation but not a complete convergence of psychological perception and visual perception. (3) Buildings, structures, and space formats play a key role in creating a sense of space scale, with the former playing a positive role and the latter a negative role. (4) The visual attraction of a green landscape is strong and can improve the visual quality of space. The research found that there are evaluation differences between the visual perception and psychological perception of spatial elements, which are significantly correlated but not fully convergent. Through quantitative analysis and the interpretation of tourists’ perception from different perspectives, we can take relevant improvement and optimization measures for many deficiencies of public space in historical and cultural districts.

Suggested Citation

  • Wenqing Ding & Qinqin Wei & Jing Jin & Juanjuan Nie & Fanfan Zhang & Xiaotian Zhou & Youhua Ma, 2023. "Research on Public Space Micro-Renewal Strategy of Historical and Cultural Blocks in Sanhe Ancient Town under Perception Quantification," Sustainability, MDPI, vol. 15(3), pages 1-17, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2790-:d:1056920
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    References listed on IDEAS

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    1. Fang Zhang & Qi Liu & Xi Zhou, 2022. "Vitality Evaluation of Public Spaces in Historical and Cultural Blocks Based on Multi-Source Data, a Case Study of Suzhou Changmen," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    2. Robert B. Noland & Marc D. Weiner & Dong Gao & Michael P. Cook & Anton Nelessen, 2017. "Eye-tracking technology, visual preference surveys, and urban design: preliminary evidence of an effective methodology," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 10(1), pages 98-110, January.
    3. Helena Nordh & Caroline M. Hagerhall & Kenneth Holmqvist, 2013. "Tracking Restorative Components: Patterns in Eye Movements as a Consequence of a Restorative Rating Task," Landscape Research, Taylor & Francis Journals, vol. 38(1), pages 101-116, February.
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