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Investigating the Relationship between Landscape Design Types and Human Thermal Comfort: Case Study of Beijing Olympic Forest Park

Author

Listed:
  • Lin Zhang

    (Department of Landscape Architecture, College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Haiyun Xu

    (Department of Landscape Architecture, College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Jianbin Pan

    (Department of Landscape Architecture, College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

Abstract

Urban green space can improve the local thermal environment and thus the quality of the urban residential environment. Taking the green space of Beijing Olympic Forest Park (BOFP) as an example, this study analysed sample points representing different plant community structures, plant community types, and landscape environments based on 15 years of continuous dynamic measurement and selected typical annual data (from 2020). The study analysed and explained the spatial differentiation characteristics of human thermal comfort (HTC) in green space areas of BOFP using the predicted mean vote (PMV)–predicted percentage dissatisfied (PPD) physical comfort index model, which comprehensively considers both the objective environment and people’s subjective feelings and psychological states. The results showed that the level of HTC in the park’s green space, across community types and across typical landscape environments, differed between areas with different community structures. PMV–PPD mathematical model fitting further verified the above results.

Suggested Citation

  • Lin Zhang & Haiyun Xu & Jianbin Pan, 2023. "Investigating the Relationship between Landscape Design Types and Human Thermal Comfort: Case Study of Beijing Olympic Forest Park," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:2969-:d:1059869
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