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14 February 2024 Research on the drivers of carbon emissions from highway trucks based on pathway analysis
Mengjuan Zhang, Shengwen Yang, Miaojingxin Wu, Fuze Chen
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Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301836 (2024) https://doi.org/10.1117/12.3024072
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
Highway freight transport emissions provide a high contribution to carbon emissions in the transport industry, and analysing the driving factors is conducive to building a low-carbon transport structure. This paper explores the indicators of economic dynamic series level, traffic development and energy consumption structure that affect the carbon emissions of the transport industry by using the pathway analysis, and analyses the dependence of carbon emissions on the truck model through visualisation. The results show that the direct throughput coefficients of GDP of the secondary industry, freight turnover, and the structure of truck models are 0.590, 0.317, and 0.204, respectively, indicating that the economic growth has a positive pulling effect on the carbon emissions of the transport industry, and the reliance on the other two types of indicators is small. The indirect throughput coefficients were 0.358, 0.619 and 0.613, indicating that transport development and model structure are highly dependent on the economy, and that adjusting the model structure with the help of economic development can effectively promote the implementation of emission reduction measures.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Mengjuan Zhang, Shengwen Yang, Miaojingxin Wu, and Fuze Chen "Research on the drivers of carbon emissions from highway trucks based on pathway analysis", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301836 (14 February 2024); https://doi.org/10.1117/12.3024072
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KEYWORDS
Carbon
Statistical analysis
Analytical research
Visualization
Carbon dioxide
Factor analysis
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