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Open AccessArticle
Investigating the Relationship between Landscape Design Types and Human Thermal Comfort: Case Study of Beijing Olympic Forest Park
Department of Landscape Architecture, College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
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Sustainability 2023, 15(4), 2969; https://doi.org/10.3390/su15042969 (registering DOI)
Received: 24 November 2022
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Revised: 13 January 2023
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Accepted: 23 January 2023
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Published: 6 February 2023
Simple Summary
Beijing, China, is a megacity with a population of more than 20 million. The hot summer climate and environmental problems caused by urbanization affect the quality of human settlements. Based on the measured data in the Beijing Olympic Forest Park and the analysis of the human body comfort index model, the study concluded that the thermal comfort level of the double-layer plant community area composed of tall deciduous trees such as Sophora japonica and Ginkgo biloba and shrubs or grass native cover plants was higher than that of other areas.
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.
