Abstract
One-size-fits-all approach is common in climate-sensitive urban design due to neglecting spatial heterogeneities in urban form and urban climate. This study explores a spatially-varied climate-sensitive urban design based on the Guangdong-Hong Kong-Macau Greater Bay Area (GBA). Three thermal indices, the Wet Bulb Globe Temperature (WBGT), the Apparent Temperature (AT), and the Universal Thermal Climate Index (UTCI) are used to assess the outdoor thermal environments. The local climate zone (LCZ) classification system is used to map urban form including built and land-cover types. Moreover, incorporating spatial effects, geographically weighted regression (GWR) models are used to account for spatially-varied thermal variations due to urban form changes. Our findings indicate that the large low-rise type (LCZ 8) needs more attention in built-up planning for thermal mitigation, and urban low plants type (LCZ D) should be a more effective nature-based climate mitigation strategy compared with the water bodies (LCZ G). The GWR results show a stronger consistency between UTCI and LCZ 8 and LCZ D, compared with WBGT and AT. UTCI is thus suggested for application in future urban climate studies. More importantly, the spatially-varied relationship between UTCI and urban form specifies the strategies and appropriate locations for thermal mitigation in climate-sensitive urban design.
Original language | English |
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Article number | 101034 |
Journal | Urban Climate |
Volume | 41 |
DOIs | |
Publication status | Published - Jan 2022 |
Bibliographical note
Publisher Copyright:© 2021 Elsevier B.V.
Funding
This research was supported by the Hong Kong Baptist University Faculty Research Grant (No. FRG1/17-18/044 and No. FRG1/16-17/034 ) and the Research Impact Fund (No. R2002-20F ) from the Hong Kong Research Grant Council (RGC) , and the 2232 International Fellowship for Outstanding Researchers Program of the Scientific and Technological Research Council of Turkey (TUBITAK) through grant 118C329 . This research was conducted using the resources of the High Performance Cluster Computing Centre, Hong Kong Baptist University, which receives funding from Research Grant Council, University Grant Committee of the HKSAR and Hong Kong Baptist University. Moreover, Mr Bolin Xu is acknowledged for his participation in research group discussions in the early stages of the manuscript.
Funders | Funder number |
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Cluster Computing Centre | |
RGC | |
TUBITAK | 118C329 |
Hong Kong Baptist University | R2002-20F, FRG1/16-17/034, FRG1/17-18/044 |
Research Grants Council, University Grants Committee | |
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |
Keywords
- Geographically weighted regression model
- Local climate zone
- Thermal indices
- Thermal mitigation strategies