Study on Supporting Territorial Spatial Planning through Identification Carbon Emission Sources in Urban Land Use:A Case Study of Nanjing
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.
urban land usespatial big dataterritorial spatial planningcarbon peak and carbon neutralityNanjing