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DOI10.3390/su11102824
Carbon Emissions and Expressway Traffic Flow Patterns in China
Dong, Yaping; Xu, Jinliang; Liu, Xingliang; Gao, Chao; Ru, Han; Duan, Zhihao
发表日期2019
ISSN2071-1050
卷号11期号:10
英文摘要

Traffic flow patterns severely impact vehicle carbon emissions. A field test was conducted in this study to obtain fuel consumption and traffic volume data under various traffic flow patterns and to explore the relationship between traffic flow patterns and vehicle carbon emissions. Carbon emission data were obtained via the indirect carbon emission accounting method proposed by the Intergovernmental Panel on Climate Change. Carbon emission prediction models for diesel trucks and gasoline passenger cars were established respectively with volume to capacity ratio as an explanatory variable. The results show that carbon emissions are highest under the congested flow conditions, followed by unstable flow, free flow, and steady flow. The relationship between the volume to capacity ratio and carbon emissions is a cubic curve function. The carbon emissions of trucks and passenger cars with a volume to capacity ratio of 0.4 to 0.5 are relatively small. The proposed carbon emissions models effectively quantify the carbon emissions of vehicles under different traffic flow patterns. The results of this study may provide data to support and a workable reference for expressway operation management and future low-carbon expressway expansion construction projects.


WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源期刊SUSTAINABILITY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/97609
作者单位Changan Univ, Sch Highway, Xian 710064, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Dong, Yaping,Xu, Jinliang,Liu, Xingliang,et al. Carbon Emissions and Expressway Traffic Flow Patterns in China[J],2019,11(10).
APA Dong, Yaping,Xu, Jinliang,Liu, Xingliang,Gao, Chao,Ru, Han,&Duan, Zhihao.(2019).Carbon Emissions and Expressway Traffic Flow Patterns in China.SUSTAINABILITY,11(10).
MLA Dong, Yaping,et al."Carbon Emissions and Expressway Traffic Flow Patterns in China".SUSTAINABILITY 11.10(2019).
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