How do the 3D urban morphological characteristics spatiotemporally affect the urban thermal environment? A case study of San Antonio

Wang, Yige; He, Zhichao; Zhai, Wei; Wang, Siyu; Zhao, Chunhong

doi:10.1016/j.buildenv.2024.111738

Building and Environment

2024

DOI: 10.1016/j.buildenv.2024.111738

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How do the 3D urban morphological characteristics spatiotemporally affect the urban thermal environment? A case study of San Antonio

Yige Wang,

Zhichao He,

Wei Zhai

et al.

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Cited by 3 publications

References 70 publications

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Driving factors of summer diurnal surface thermal environment in subtropical coastal cities: a Shenzhen case study

Guo,

Lin,

Zhong

et al. 2024

Int. J. Environ. Sci. Technol.

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Driving factors of summer diurnal surface thermal environment in subtropical coastal cities: a Shenzhen case study

Guo,

Lin,

Zhong

et al. 2024

Int. J. Environ. Sci. Technol.

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Do Different Urban Morphologies Have Consistent Patterns on Urban Heat Islands in Different Cities and Scales? A Local Climate Zone Exploration

Yu,

Zhang,

2025

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The Impact of Building and Green Space Combination on Urban Thermal Environment Based on Three-Dimensional Landscape Index

Wang,

Ren,

Zheng

et al. 2024

Sustainability

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Urbanization transforms landscapes from natural ecosystems to configurations of impervious surfaces and green spaces, leading to urban heat island effects that impact health and ecosystem sustainability. This study in Xiamen City, China, categorizes urban areas into functional zones, employs Random Forest and Stepwise Regression models to assess thermal differences, and proposes optimization measures for the building–green space landscape. The optimization involves altering the characterization of the building–green space landscape pattern. Results indicate: (1) due to the spatial heterogeneity of the building–green space landscape pattern in different functional zones, the surface temperature also shows strong spatial heterogeneity in different functional zones; (2) different optimization measures for the building–green space pattern are needed for different functional zones; taking the urban residential zone as an example, the Normalized Difference Vegetation Index (NDVI) in the hot spot area can be adjusted according to the value range of the cold spot area; (3) considering the solar radiation process, Sun View Factor (SunVF) plays an important role in indicating the change in surface temperature in the commercial service area, and as SunVF increases, the surface temperature of the functional zone tends to rise. This research offers insights into urban thermal environment improvement and landscape pattern optimization.

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How do the 3D urban morphological characteristics spatiotemporally affect the urban thermal environment? A case study of San Antonio

Cited by 3 publications

References 70 publications

Driving factors of summer diurnal surface thermal environment in subtropical coastal cities: a Shenzhen case study

Driving factors of summer diurnal surface thermal environment in subtropical coastal cities: a Shenzhen case study

Do Different Urban Morphologies Have Consistent Patterns on Urban Heat Islands in Different Cities and Scales? A Local Climate Zone Exploration

The Impact of Building and Green Space Combination on Urban Thermal Environment Based on Three-Dimensional Landscape Index

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