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• W4386789327 startingPage "167091" @default.
• W4386789327 abstract "In the current research, the question of how to modify the microclimate through landscape planning to create a livable thermal environment within a residential community area has not been clarified. Therefore, this study investigated the effects of landscape on thermal livability in 2980 communities in Shenzhen, and obtained the following findings: (1) the proportion of trees and the average building height were key indicators to determine the average land surface temperature (LST) of a community, while the two-dimensional building characteristics, particularly shape, similarity, and patch dominance, were mainly responsible for regulating the spatial distribution of LST within a community; (2) at the community scale, the cooling intensity of buildings was strongest when their average height was around 40-60 m, and cooling effect of trees was most pronounced when their proportion achieved 20 %; and (3) the LST threshold for thermal livability in Shenzhen was around 35 °C. In summer, a higher proportion of trees and grass, as well as buildings with higher average heights, larger volume ratios, and more complex three-dimensional structures were favorable to maintain a livable community thermal environment, while in winter, a lower proportion of trees was more encouraged. In addition, a smaller average sky view factor can achieve a community thermal environment that warm in winter and cool in summer. These results are expected to facilitate urban planners to develop community renewal from the perspective of thermal livability." @default.
• W4386789327 created "2023-09-16" @default.
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• W4386789327 date "2023-12-01" @default.
• W4386789327 modified "2023-10-18" @default.
• W4386789327 title "Effects of landscape on thermal livability at the community scale based on fine-grained geographic information: A case study of Shenzhen" @default.
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• W4386789327 doi "https://doi.org/10.1016/j.scitotenv.2023.167091" @default.
• W4386789327 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37716681" @default.
• W4386789327 hasPublicationYear "2023" @default.
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