No abstract

In recent years, the carbon emissions in the transport sector have been maintained at annual growth rate over 5%, making it one of the major sources of greenhouse gas (GHG) emissions in China. In the background of low-carbon transformation, the "carbon peaking and carbon neutrality" target has put forward higher requirements for energy saving and carbon reduction in the transport sector. Heavy-duty trucks are a major energy consumer in the transport sector and are a key area for carbon neutrality. With the theory of human-machine-environment system engineering, this research figures out the factors affecting the energy consumption of vehicles. Based on the dynamic data of Heavy-duty trucks Global Positioning System (GPS), the research uses big data processing and statistical analysis to estimate the CO2 emissions of heavy-duty trucks over 12 tons in China, and puts forward relevant policy suggestions for the development of energy-saving and carbon-reduction in the road freight industry. This paper provides theoretical support and reference for the green transformation of China's transportation industry.

Road freight plays an increasingly important role in economic and social system. According to the statistics, it undertakes 75% of the total freight volume in 2021, which is one of the important sources of urban economic development. It is one of the important sources of urban economic development. Aiming at the research on the coordinated development of road freight transport and regional economy, this paper establishes an improved model for the analysis of road freight transport and economy correlation characteristics based on the dynamic operation data and statistical data of freight transport vehicles and uses the theories of agglomeration and connection index. Taking the Yangtze River delta as an example, this paper uses multi-source data such as dynamic track and statistical data of heavy cargo vehicles, analyzing the road freight and economic characteristics among Shanghai, Anhui, Zhejiang and Jiangsu, and exploring the relationship between kilometer freight and economic development in the Yangtze River delta region.