A refined measurement method of highway truck carbon emissions in the context of carbon peaking and carbon neutrality --Take G30 Yandun Toll Station as an Example

¹ School of Traffic and Transportation Engineering, Xinjiang University, Shuimogou-District, Ürümqi, Xinjiang, 830017 China
² Xinjiang Key Laboratory of Green Construction and Maintenance of Transportation Infrastructure and Intelligent Traffic Control, Shuimogou-District Ürümqi, Xinjiang, 830017 China

^* Corresponding author’s email: 44848282@qq.com

Abstract

This study uses two different carbon emission factor methods to analyze the differences in carbon emissions from trucks under different types and times. The analysis is based on the Xinjiang Expressway Database and other data, with the G30 Yandun Toll Station as an example. The study aims to provide insight into the environmental impact of trucking and inform future policy decisions. The study indicates that heavy-duty trucks are responsible for 90% and 97% of the total carbon emissions from all trucks, respectively. The number of vehicles and the type of trucks are the main factors contributing to these emissions. Additionally, the second quarter shows the highest carbon emissions, while the first quarter exhibits the most considerable difference between the results of the two methods. In March, carbon emissions were at their highest. Additionally, the fuel consumption of trucks with GVW ⩾ 31000kg was the highest, with a significant difference between the results of the two methods. It is worth noting that the fuel consumption of trucks with GVW ⩾ 31000kg was also measured. This study provides data to support the implementation of policies related to transportation carbon emissions in Xinjiang. The paper is significant for promoting green travel.