Affiliation:
1. School of Architecture, Tianjin University, Tianjin 300072, China
Abstract
The low-carbon development of the transportation sector is crucial for China to achieve its national goals of carbon peaking and carbon neutrality. Since China is a vast country with unbalanced regional development, there are considerable differences in the levels of carbon dioxide emissions from the transportation sector across regions. Therefore, revealing the influencing factors that shape the characteristics of transportation carbon dioxide emissions (TCO2) can inform tailored sub-national carbon reduction strategies based on local conditions, which is an important technical approach for achieving national goals. Based on an extended Kaya identity, we derived indicators of the impacts on provincial TCO2 from factors such as economic development, population density, energy structure, transportation efficiency, technology research and development (R&D), infrastructure construction, transportation operation conditions, and residents’ transportation behavior. Using a multi-indicator joint characterization method, we explored the characteristics of provincial TCO2 in China in 2019. By applying Ward’s method to hierarchical clustering, the thirty provinces of China were classified into six characteristic types (Types I to VI). Based on the total TCO2 (TC), the intensity of TCO2 (TI), and the per capita TCO2 (TP) calculated for each province in 2019, the priority control directions and indicators for carbon reduction in each type were obtained through relative relationships with provincial averages and correlation analysis with the indicators. Specifically, Type I and Type IV can be categorized as TP-controlled, Type II and Type III as TC-controlled, and Type V and Type VI as TI-controlled. Finally, we provided typological strategies and key performance indicators (KPIs) relevant to local governments to better achieve carbon reduction goals in each provincial type. It can promote cooperative development and collaborative governance in carbon reduction across regions and the unified implementation of China’s dual-carbon goals.
Funder
Special project of National Natural Science Foundation of China
Subject
Nature and Landscape Conservation,Ecology,Global and Planetary Change
Reference62 articles.
1. IEA (2022). World Energy Outlook 2022, International Energy Agency. Available online: https://www.iea.org/reports/world-energy-outlook-2022.
2. Net Greenhouse Gas Emissions Savings from Natural Gas Substitutions in Vehicles, Furnaces, and Power Plants;Cohan;Int. J. Glob. Warm.,2016
3. IEA (2018). CO2 Emissions from Fuel Combustion 2018, International Energy Agency.
4. Spatial Network Structure of Transportation Carbon Emission Efficiency in China and Its Influencing Factors;Shao;Chin. J. Popul. Resour. Environ.,2021
5. Spatial–Temporal Characteristics and Decoupling Effects of China’s Transportation CO2 Emissions;Cai;Environ. Sci. Pollut. Res.,2023
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