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.


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    Titel :

    Analysis of Truck Carbon Emissions per month On Highway road


    Weitere Titelangaben:

    Advances in Engineering res


    Beteiligte:
    Ahmad, Zakiah (Herausgeber:in) / Ghadiri, Seyed Mohammadreza (Herausgeber:in) / Li, Rita Yi Man (Herausgeber:in) / Lang, Ruiqing (Herausgeber:in) / Zhang, Yonghua (Autor:in) / Gao, Yansen (Autor:in) / Zheng, Yuqi (Autor:in) / Li, Na (Autor:in) / Dai, Xiaomin (Autor:in)

    Kongress:

    International Conference on Urban Construction and Management Engineering ; 2024 ; Xi'an, China July 19, 2024 - July 21, 2024



    Erscheinungsdatum :

    17.09.2024


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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