Cities are key areas to achieve the"dual carbon"goal,and residential space,as the main car-rier of urban residents'activities,is an important place for low-carbon governance.Taking 30 residen-tial samples in Baohe District of Hefei City as an example,through GIS processing,multi-source data crawling combined with carbon accounting results,Pearson analysis was used to determine the correla-tion degree between the two,and the carbon emission measurement model was constructed with the help of multiple linear regression,and the results showed that:For energy consumption and carbon emis-sions,the floor area ratio,building density,height,and basement area have significant negative correla-tions with them.In the form of building layout,the low-carbon effect is sorted:determinant＞point＞mixed＞enclosed.For travel carbon emissions,there is a significant negative correlation between road network density,the number of public transport stations,the number of public facilities,and the mix of land use within a certain range.The fitting degree of energy consumption and carbon emissions is less than that of travel carbon emissions,that is,in the low-carbon transformation of living space,it is more applicable to optimize the travel mode.
关键词
"双碳"目标/居住空间/碳排放/合肥市/包河区
Key words
"dual carbon"goal/living space/carbon emissions/Hefei City/Baohe District
万方数据