Impact of land use types on the spatial heterogeneity of extreme heat environments in a metropolitan area. (September 2021)

• Record Type: Journal Article
• Authors: Chen, Tzu-Ling; Lin, Zih-Hong
• Is Part Of: Sustainable cities and society. Volume 72(2021)
• Publication Date: 2021-09
• Subjects: Extreme heat -- Moderate Resolution Imaging Spectroradiometer (MODIS) -- Ordinary least squares (OLS) -- Geographically weighted regression (GWR); Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2021.103005
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Absolute heat areas and relative stress areas are divided to analyze in metropolitan area. Mixed use has the greatest influence on heat stress in metropolitan area. The spatial patterns of GWR models can be applied as a reference when building mitigation plans to decrease heat. A complete and large amount of green space could actually mitigate heat. Abstract: Global climate change has intensified extreme climate events such as torrential rain/snow, heat waves, and droughts. Among climate disaster events, extreme heat can bring long and intensified heat waves and seriously impact the human living environment and ecological habitat. However, extreme heat may have inconsistent impacts on various geographical environments, and such extreme heat might impact human health differently among various locations and climate zones. Therefore, this study applies Moderate Resolution Imaging Spectroradiometer (MODIS) data to produce 2014–2018 land surface temperatures and further applies spatial analysis to categorize areas into absolute and relative heat areas in the Taipei metropolitan area in Taiwan. A comparative analysis is then conducted based on ordinary least squares (OLS) and geographically weighted regression (GWR) to explore the spatial heterogeneity of changing heat environments in the study area. Although the OLS results show that mixed use has the greatest influence on heat, whereas green space and barren land have the highest negative effect on heat, the GWR analysis shows that the coefficients of every land use type demonstrate different spatial patterns. These spatial patterns can be applied as a reference for the mitigation plans to reduce the effects of heat.