Abstract
It is crucial for the development of carbon reduction strategies to accurately examine the spatial distribution of carbon emissions. Limited by data availability and lack of industry segmentation, previous studies attempting to model spatial carbon emissions still suffer from significant uncertainty. Taking Pudong New Area as an example, with the help of multi-source data, this paper proposed a research framework for the amount calculation and spatial distribution simulation of its CO2 emissions at the scale of urban functional zones (UFZs). The methods used in this study were based on map** relations among the locations of geographic entities and data of multiple sources, using the coefficient method recommended by the Intergovernmental Panel on Climate Change (IPCC) to calculate emissions. The results showed that the emission intensity of industrial zones and transport zones was much higher than that of other UFZs. In addition, Moran’s I test indicated that there was a positive spatial autocorrelation in high emission zones, especially located in industrial zones. The spatial analysis of CO2 emissions at the UFZ scale deepened the consideration of spatial heterogeneity, which could contribute to the management of low carbon city and the optimal implementation of energy allocation.
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Data availability
The datasets used during the current study are available from the corresponding author on reasonable request.
Abbreviations
- UFZ:
-
Urban functional zone
- IPCC:
-
Intergovernmental Panel on Climate Change
- LMDI:
-
Logarithmic mean Divisia index
- LEAP:
-
Long-range Energy Alternatives Planning
- DMSP-OLS:
-
Defense Meteorological Satellite Program–Operational Linescan System
- NPP-VIIRS:
-
National Polar-orbiting Operational Environmental Satellite System Preparatory Pro Visible Infrared Imaging Radiometer Suite
- POI:
-
Point-of-interest
- OSM:
-
OpenStreetMap
- ESDA:
-
Exploratory spatial data analysis
- LISA:
-
Local Indicators of Spatial Association
- ID:
-
Industrial zone
- TS:
-
Transport zone
- RS:
-
Residential zone
- CT:
-
Cultural tourism zone
- CS:
-
Commercial service zone
- PS:
-
Public service zone
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This research was supported by the National Natural Science Foundation of China (No. 72104139) and (No.71972128).
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EZ wrote the manuscript and offered funding to support the research. JY wrote the manuscript and created the tables and figures. XZ collected and analyzed the data. LC provided experimental guidance. All the authors have read and approved the final manuscript.
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Zhu, E., Yao, J., Zhang, X. et al. Explore the spatial pattern of carbon emissions in urban functional zones: a case study of Pudong, Shanghai, China. Environ Sci Pollut Res 31, 2117–2128 (2024). https://doi.org/10.1007/s11356-023-31149-5
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DOI: https://doi.org/10.1007/s11356-023-31149-5