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RSS FeedsSustainability, Vol. 11, Pages 2824: Carbon Emissions and Expressway Traffic Flow Patterns in China (Sustainability)


17 may 2019 16:03:10

Sustainability, Vol. 11, Pages 2824: Carbon Emissions and Expressway Traffic Flow Patterns in China (Sustainability)

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. Digg Facebook Google StumbleUpon Twitter
29 viewsCategory: Ecology
Sustainability, Vol. 11, Pages 2823: Setting Headways on a Bus Route under Uncertain Conditions (Sustainability)
Sustainability, Vol. 11, Pages 2822: Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China (Sustainability)
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