Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)

Analysis of Truck Carbon Emissions per month On Highway road

Authors
Yonghua Zhang1, 2, Yansen Gao3, Yuqi Zheng3, Na Li1, 2, Xiaomin Dai3, 4, *
1Xinjiang Jiaotou Maintenance Group Co. Ürümqi, Xinjiang, 830002, China
2Engineering Technology and Transportation Industry in Arid Desert Areas, Urumqi, Xinjiang, 830001, China
3School of Traffic and Transportation Engineering, Xinjiang University, Ürümqi, Xinjiang, 830017, China
4Xinjiang Key Laboratory of Green Construction and Maintenance of Transportation Infrastructure and Intelligent Traffic Control, Xinjiang, 830017, China
*Corresponding author. Email: xmdai@xju.edu.cn
Corresponding Author
Xiaomin Dai
Available Online 17 September 2024.
DOI
10.2991/978-94-6463-516-4_23How to use a DOI?
Keywords
Carbon emissions; monthly; carbon emission factor method
Abstract

In this study, the carbon emissions of the road section from Yandun Toll Station to Erpu Mainline Toll Station of the Xinjiang G30 Line were meticulously quantified using the “Carbon Emission Factor Corresponding to Load Method,” which is currently regarded as the most precise methodology in the field of carbon emission research. Additionally, the study analyzed the carbon emission trends of this road section. The findings of the study revealed that there were discernible discrepancies in the carbon emissions of different types of trucks traversing this road section. Heavy trucks are responsible for the majority of carbon emissions, particularly when they account for 90% of the total number of trucks. Furthermore, the study indicates that the carbon emissions of all types of trucks increase month by month in the first half of the year, but gradually decrease in the second half of the year. Further analysis reveals that light-duty trucks have the highest carbon emissions in March, while medium- and heavy-duty trucks peak in June. After fine-tuning the carbon emission results, the trend of carbon emissions is analyzed according to the requirements of the double-talk policy and in the light of the actual situation of carbon emissions in Xinjiang’s transportation industry today. These results can be used as an important tool to control carbon emissions and provide data support for policy makers.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
Series
Advances in Engineering Research
Publication Date
17 September 2024
ISBN
978-94-6463-516-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-516-4_23How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yonghua Zhang
AU  - Yansen Gao
AU  - Yuqi Zheng
AU  - Na Li
AU  - Xiaomin Dai
PY  - 2024
DA  - 2024/09/17
TI  - Analysis of Truck Carbon Emissions per month On Highway road
BT  - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
PB  - Atlantis Press
SP  - 191
EP  - 202
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-516-4_23
DO  - 10.2991/978-94-6463-516-4_23
ID  - Zhang2024
ER  -