Xiang, Jiawei, Wang, Jia ORCID: https://orcid.org/0000-0003-4379-9724, Yang, Hui, Cui, Liu, Qiao, Yina, Cai, Run, Wu, Shuzhen and Zhang, Yuan (2026) Impact of urban functional zoning on carbon emission from electricity consumption: a multi-source data integration approach on Xuzhou China. Energy and Buildings, 367:117747. ISSN 0378-7788 (Print), 1872-6178 (Online) (doi:10.1016/j.enbuild.2026.117747)

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Abstract

The spatial layout, building form, and industrial distribution of urban functional zones (UFZs) play a crucial role in influencing carbon emissions resulting from electricity consumption dependent on fossil fuels. To examine spatial variations in electricity consumption and carbon emissions, a UFZ-scale accounting model is essential. Understanding the link between UFZs and carbon emissions from electricity provides insights to optimize urban layouts, enhance energy efficiency, and support low-carbon urban development. Taking Xuzhou, a resource-based city in China, as the study area, this research constructs a Doc2Vec-Kmeans model to identify UFZs. The proposed model integrates multi-source data including land use, building footprints, Points of Interest (POIs), and population, to analyze carbon emissions from electricity consumption across the primary, secondary, tertiary sectors, and residential areas within UFZs. The results show that: (1) Xuzhou’s central and northeastern areas, dominated by residential-industrial zones, exhibit high carbon emissions due to significant electricity consumption. (2) Commercial-transportation, commercial-residential, commercial-public service, and commercial-industrial zones exhibit high carbon emissions from electricity consumption, mainly due to high levels of industrial concentration, densely packed buildings, and intensive human activities. (3) Mixed land use in Xuzhou lowers carbon emissions from electricity consumption, while road network density shows limited impact, primarily affecting transportation-related zones. This study refines the accounting of electricity-related carbon emissions at the UFZ scale. The results show that reducing buildings, industrial agglomeration and increasing UFZ diversity are crucial for achieving emission reductions.

Item Type:	Article
Uncontrolled Keywords:	urban functional zone, electricity consumption, carbon emission, mixed functional area, spatial variation
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	19 Jun 2026 15:49
URI:	https://gala.gre.ac.uk/id/eprint/53780

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