标题: High resolution spatial distribution of CO<sub>2</sub> emissions from building operations and driving factors in the Guangdong-Hong Kong-Macao Greater Bay Area
作者: Tang, Y (Tang, Yao); Hong, S (Hong, Song); Shi, S (Shi, Shuai); Wu, SB (Wu, Shengbiao); Chen, B (Chen, Bin); Yang, L (Yang, Lu); He, C (He, Chao); Zhou, XY (Zhou, Xiaoyan)
来源出版物: SUSTAINABLE CITIES AND SOCIETY 卷: 131 文献号: 106708 DOI: 10.1016/j.scs.2025.106708 Early Access Date: AUG 2025 Published Date: 2025 SEP 1
摘要: Building operation is an important source of greenhouse gas emissions. As China's most densely populated region, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) contributes 22% of national building sector CO2 emissions, but systematic assessment of the Building Operational CO2 Emissions(BOCE) characteristics remain scarce. Clarifying these patterns and their drivers is essential for achieving regional low-carbon development goals. This study integrates top-down and bottom-up approaches to construct a 1 km x 1 km gridded CO2 emission inventory for BOCE in the GBA, employing multi-scale geographically weighted regression (MGWR) to analyze the spatial heterogeneity of its driving factors. The results show that: (1) From 2015 to 2020, the total CO2 emissions from the building operation phase in the GBA increased by 27.54 % (from 141 to 180 million tons). (2) Although high-emission areas occupy only a small proportion of urban land, they contribute a disproportionately large share of BOCE. High-emission clusters in urban cores of Guangzhou and Shenzhen, accounting for 64 % of municipal totals, significantly surpassing suburban levels. (3) Key drivers of BOCE ranked by influence in 2015: tertiary industry GDP (GDP3) > population (POP) > Normalized Difference Vegetation Index (NDVI) > per capita disposable income (IN). Compared with 2015, the impact of GDP3 declined (coefficient decreased from 0.857 to 0.213) in 2020, while POP's influence strengthened (coefficient rose from 0.547 to 0.751). There is spatial heterogeneity in the impact of different drivers, the impact of POP and IN exhibited a "west-strong-east-weak" spatial pattern, but the areas most affected by POP shifted eastward in 2020. These findings provide a scientific basis for formulating region-specific decarbonization policies and fostering cross-sectoral collaboration in the GBA's building sector.
作者关键词: CO2 emissions; Building operation; Driving factors; Spatial heterogeneity; Guangdong-Hong Kong-Macao Greater Bay Area (GBA)
KeyWords Plus: GEOGRAPHICALLY WEIGHTED REGRESSION; CARBON-DIOXIDE EMISSIONS; ENERGY USE; CHINA; SCALE; IMPACT; CITIES
地址: [Tang, Yao; Hong, Song; Zhou, Xiaoyan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Tang, Yao; Hong, Song; Zhou, Xiaoyan] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.
[Shi, Shuai] Univ Hong Kong, Fac Architecture, Real Estate & Construct, Hong Kong, Peoples R China.
[Wu, Shengbiao; Chen, Bin] Univ Hong Kong, Fac Architecture, Div Landscape Architecture, Future Urban & Sustainable Environm FUSE Lab, Hong Kong, Peoples R China.
[Yang, Lu] Wuhan Text Univ, Sch Resource & Environm Sci, Wuhan 430200, Hubei, Peoples R China.
[He, Chao] Chinses Acad Sci, Natl Sci Lib Wuhan, Wuhan 430071, Peoples R China.
通讯作者地址: Hong, S (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
电子邮件地址: [email protected]
影响因子：12
