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Seeking low-carbon development in residential buildings is very important. We aimed to explore the mechanism of the urban form on residential building carbon emissions at the urban block level. When Beijing was adopted as a case study, blocks were categorized into enclosed, radial, intensive, and axial types. Geographic information data of 30 typical residential districts were extracted via ArcGIS software.Through the integration of parametric modeling and performance analysis techniques, the embodied and operational carbon emissions of typical districts were calculated. We analyzed carbon emission differences from the perspective of spatial factors such as the plot ratio, building density, and average building height, as well as temporally. The results revealed that the carbon emissions of the enclosed blocks were the lowest, and the carbon emissions of the intensive blocks were the highest. The plot ratio and average building height were negatively correlated with operation and embodied carbon emissions, whereas building density was positively correlated with operation and embodied carbon emissions.

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