Estimating Urban Linear Heat (UHI<sub>ULI</sub>) Effect Along Road Typologies Using Spatial Analysis and GAM Approach
The urban heat island (UHI) effect significantly impacts urban environments, particularly along roads, a phenomenon known as urban linear heat (UHI<sub data-eusoft-scrollable-element="1">ULI</sub>). Numerous factors contribute to roads influencing the UHI<sub data-eusoft-scr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/16/7/864 |
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| Summary: | The urban heat island (UHI) effect significantly impacts urban environments, particularly along roads, a phenomenon known as urban linear heat (UHI<sub data-eusoft-scrollable-element="1">ULI</sub>). Numerous factors contribute to roads influencing the UHI<sub data-eusoft-scrollable-element="1">ULI</sub>; however, effective mitigation strategies remain a challenge. This study examines the relationship between canopy cover percentage, normalized difference vegetation index, land use types, and three road typologies (local, regional, and state) with land surface temperature. This study is based on data from the city of Adelaide, Australia, using spatial analysis, and statistical modelling. The results reveal strong negative correlations between land surface temperature and both canopy cover percentage and normalized difference vegetation index. Additionally, land surface temperature tends to increase with road width. Among land use types, land surface temperature varies from highest to lowest in the order of parkland, industrial, residential, educational, medical, and commercial areas. Notably, the combined influence of the road typology and land use produces varying effects on land surface temperature. Canopy cover percentage and normalized difference vegetation index consistently serve as dominant cooling factors. The results highlight a complex interplay between built and natural environments, emphasizing the need for multi-factor analyses and a framework based on the local climate and the type of roads (local, regional, and state) to effectively evaluate UHI<sub data-eusoft-scrollable-element="1">ULI</sub> mitigation approaches. |
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| ISSN: | 2073-4433 |