AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (25.7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

Calculation and Spatial Distribution Characteristics of Carbon Emissions from New Energy Vehicles on Expressways

Huiying WEN1Ziqi HE1Yuqing HU2Junda HUANG1( )
School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, Guangdong, China
Guangdong E-Serve United Co., Ltd., Guangzhou 510620, Guangdong, China
Show Author Information

Abstract

In order to overcome the difficulty in estimating the indirect carbon emissions from new energy vehicles due to the energy consumption in a large-scale expressway network, this paper proposes a new carbon emission calculation method of new energy vehicles based on the toll data in expressway ETC network. Firstly, the traffic flow data of new energy vehicles on expressways were cleansed and processed. Then, according to the distribution of toll gantries, road sections were defined and segmented. On this basis, the energy consumption of different types of new energy vehicles was analyzed. Furthermore, a carbon emission quantification model of new energy vehicles in the operational stage was established. Finally, by taking Guangdong Province as an example, the carbon emissions of new energy vehicles on expressways were calculated, with its spatial distribution characteristics being also analyzed. The results show that (1) Category 1 pure electric passenger cars are the main source of carbon emissions from new energy vehicles on expressways, accounting for 74.20% of the total carbon emissions of new energy vehicles, followed by Category 1 pure electric trucks, whose carbon emissions account for 14.18% of the total, and Category 1 plug-in hybrid passenger cars contribute 11.62% of the total; (2) the cities in the Pearl River Delta urban agglomeration are the main contributors to high carbon emissions from new energy vehicles, and the less developed regions in eastern, western and northern Guangdong account for less than 13% of the total carbon emissions from new energy vehicles; (3) the road segments with high carbon emissions from new energy vehicles mainly locate in the transportation hubs and inner-city expressway rings of developed cities, and Guangzhou metropolitan area as well as Shenzhen metropolitan area as the center has a radiating effect on the expressway network of surrounding cities; and (4) in less developed areas, due to the low density of expressway network and relatively lagging infrastructure, the penetration rate of new energy vehicles is low, the corresponding carbon emissions from new energy vehicles are generally low.

CLC number: U491 Article ID: 1000-565X(2024)08-0001-13

References

【1】
【1】
 
 
Journal of South China University of Technology (Natural Science Edition)
Pages 1-13

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
WEN H, HE Z, HU Y, et al. Calculation and Spatial Distribution Characteristics of Carbon Emissions from New Energy Vehicles on Expressways. Journal of South China University of Technology (Natural Science Edition), 2024, 52(8): 1-13. https://doi.org/10.12141/j.issn.1000-565X.230293

407

Views

8

Downloads

0

Crossref

0

Web of Science

3

Scopus

3

CSCD

Received: 04 May 2023
Published: 25 August 2024
© Journal of South China University of Technology(Natural Science Edition)