This research takes Nanjing as a case study,investigates a method that synergizes"top-down"and"bottom-up"approaches with multi-source spatial big data to identify sources of carbon emissions from urban land use.The"top-down"approach involves macro-level analysis of statistical data to allocate the total carbon emissions to different urban regions.The"bottom-up"approach then focuses on emission activities from residential buildings,industrial activities,and transportation,enabling the calculation of carbon emissions for specific land parcels.Crucially,the study extends beyond identification,providing insights for ecological space management,promoting compact land use,encouraging green behaviors,and guiding structural optimization and industrial urban development.This method is instrumental in supporting Nanjing to achieve its carbon peak and carbon neutrality goals,offering a model for territorial spatial planning that balances development with environmental stewardship.
关键词
城市土地利用/空间大数据/国土空间规划/碳达峰、碳中和/南京
Key words
urban land use/spatial big data/territorial spatial planning/carbon peak and carbon neutrality/Nanjing
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