The Effects of Urban Morphology on Energy Conservation and Emission Reduction: A Case Study in Beijing, China

This study analyzes the relationship between urban space and energy consumption and carbon emissions in Beijing. The spatial and energy consumption and carbon emission indicators of Beijing were quantitatively analyzed by GIS analysis method. Based on the data, the first quantitative analysis is made on the distribution of road density, building density, floor area ratio, POI density, population density, energy consumption and CO2 emission in Beijing. Through the analysis of this research, we concluded that there is a positive linear relationship between building density and plot ratio in Beijing, and there is a weak linear relationship between building density and road density, plot ratio, POI density, energy efficiency, and CO2 efficiency. Density, plot ratio, POI density, energy efficiency, and CO2 efficiency are positively correlated linearly. We found that in some central areas of Beijing, the city has the highest energy efficiency and CO2 efficiency. Therefore, after a comprehensive analysis of the numerical ranges corresponding to the building density, plot ratio, POI density and road density corresponding to these plots, we found that this The numerical interval is the most suitable index range for Beijing's current urban planning and development. This range of indicators can serve as a guide for future urban development in Beijing.