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Study on Measuring Method of Vehicle Carbon Emission in Expressway Network
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) ; 50(9):22-28, 2022.
Article in Chinese | Scopus | ID: covidwho-2110982
ABSTRACT
Under the background of dual-carbon policy, it is imperative to maintain ecological balance and reduce carbon emissions. Nowadays, it is very important to accurately measure the carbon emission index of vehicles on a wide range of road networks. Therefore, this study proposed a measuring method of vehicle carbon emission in expressway network based on multi-source data fusion. Firstly, a basic data cleaning method for carbon emission statistics was proposed to clean the basic data required for subsequent carbon emission calculation. Secondly, the highway carbon emission calculation model was established, and then the related calculation process was designed. Finally, taking the whole highway network of Guangdong province as an example, this paper calculated the vehicle carbon emission from September 2020 to June 2021, and compared the calculation results with China's carbon accounting database. Through this method, the proposed method was proved to be scientific and reliable. The research shows that the average carbon emission of mini buses in Guangdong province is small, but the total carbon emission accounts for the largest proportion of all types of vehicles, up to 52.1%;the total carbon emission of gasoline vehicles accounts for 49.8%, which is higher than that of diesel vehicles (45.4%) and of other energy vehicles (4.8%). Vigorously promoting new energy vehicles can effectively reduce the carbon emission of expressways. In addition, the study finds that there are significant differences in the travel patterns of different vehicles under COVID-19, but the overall impact on the transportation economy is limited. © 2022, Editorial Department, Journal of South China University of Technology. All right reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Journal of South China University of Technology (Natural Science) Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Journal of South China University of Technology (Natural Science) Year: 2022 Document Type: Article