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- W4285489780 abstract "Understanding how urban form (UF) affects CO 2 emissions is important to reduce emissions in the practice of urban planning and management. This study investigates the spatiotemporal impacts of UF on CO 2 emissions by using Geographically and Temporally Weighted Regression (GTWR) model, in which UF is characterized by metrics across three dimensions underpinning sustainable development , namely environmental-aspect urban form (EnUF), economic-aspect urban form (EcUF) and social-aspect (SUF) urban form. The data are collected from 256 Chinese cities in 2000, 2005, 2010, 2015 and 2018. The results reveal that: (1) On average, EnUF has two-sided effects on CO 2 emissions; SUF and EcUF exert negative and positive effects on CO 2 emissions respectively. (2) There is significant spatiotemporal heterogeneity in terms of the impacts of UF variables on CO 2 emissions. (3) As for EnUF variables, only the eastern coastal Chinese cities effectively show the benefits from urban compactness in terms of CO 2 reduction. Increased urban complexity and sprawling lead to more CO 2 emissions. The higher the diversity of carbon sink land, the more conducive to CO 2 emission reduction. (4) With respect to SUF variables, population density and road density present “U-shaped” and “inverted U-shaped” relationship with CO 2 emissions respectively. The accessibility of green space and water bodies contributes significantly to CO 2 reduction. (5) As regards EcUF variables, the impact of the degree of economic agglomeration and related industry diversity on CO 2 emissions changes from positive to negative in some cities. The impact of unrelated industry diversity on CO 2 emissions is spatially characterized as “negative coastal areas surround the positive inland areas”. This study casts a new light on the impacts of UF on CO 2 emissions and also proposes differentiated policy implications for carbon emission reduction in different Chinese cities. • Urban form (UF) is characterized by metrics across three dimensions underpinning sustainable development. • The impacts of UF on CO 2 emissions are investigated in 256 Chinese cities for the years 2000, 2005, 2010, 2015 and 2018. • There is significant spatiotemporal heterogeneity in terms of the impacts of UF variables on CO 2 emissions. • The government should consider differences in cities to formulate targeted CO 2 reduction policies." @default.
- W4285489780 created "2022-07-15" @default.
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- W4285489780 date "2022-09-01" @default.
- W4285489780 modified "2023-10-16" @default.
- W4285489780 title "Exploring the spatiotemporal impacts of urban form on CO2 emissions: Evidence and implications from 256 Chinese cities" @default.
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- W4285489780 doi "https://doi.org/10.1016/j.eiar.2022.106850" @default.
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