Carbon emissions are closely related to climate change and sustainable development. Despite the existence of a large amount of research on carbon emissions, previous studies have focused more on regional analysis and lacked building-level research. When it comes to building-level carbon emissions, it usually involves a limited number of buildings, or collects a large amount of survey data within a specific region, which cannot be extended to large areas. This study takes buildings in Bao'an District, Shenzhen as the basic unit and uses statistical yearbooks, population density and nighttime light images to allocate total carbon emissions into each building through a top-down approach, to gain a more comprehensive understanding of the distribution of carbon emissions and their relationship with human activities. The findings of this study are expected to promote energy conservation and emission reduction and provide data support for achieving the goals of carbon peak and carbon neutrality.
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Lin et al. (2024) studied this question.
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