Articles with "vehicle emissions" as a keyword



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Factors affecting vehicle exhaust emissions, driver motivations as a mediator

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Published in 2020 at "Environmental Economics and Policy Studies"

DOI: 10.1007/s10018-020-00291-6

Abstract: Reducing the negative effects of vehicle emissions is one of the main priorities for governments worldwide. Comprehensive understanding of the costs and impacts associated with emissions would help government decision makers establish policies that allow… read more here.

Keywords: tax; vehicle; vehicle emissions; exhaust emissions ... See more keywords
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Chinese vehicle emissions characteristic testing with small sample size: Results and comparison

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Published in 2017 at "Atmospheric Pollution Research"

DOI: 10.1016/j.apr.2016.08.007

Abstract: Abstract Mobile emissions represent a main source of fine particulate matter (PM2.5) in China, however, few studies have tested the mobile source profiles of Chinese vehicles due to the high cost. In this study, the… read more here.

Keywords: vehicle; chinese vehicle; mass; pm2 mass ... See more keywords
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Estimated contribution of vehicular emissions to carbonaceous aerosols in urban Beijing, China

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Published in 2021 at "Atmospheric Research"

DOI: 10.1016/j.atmosres.2020.105153

Abstract: Abstract Worldwide attention has been focused on air pollution associated with vehicle emissions. With the highest number of vehicles, Beijing has experienced air pollution related to vehicle emissions. To better recognize the contributions of vehicle… read more here.

Keywords: rush hour; vehicular emissions; hour; urban beijing ... See more keywords
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Implications of seasonal control of PM2.5-bound PAHs: An integrated approach for source apportionment, source region identification and health risk assessment.

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Published in 2019 at "Environmental pollution"

DOI: 10.1016/j.envpol.2018.12.074

Abstract: PM2.5-bound PAHs are ubiquitous in urban atmospheres and are characterized as carcinogenic, teratogenic and mutagenic upon inhalation. A total of 218 daily PM2.5 samples were collected during one year in the urban district of Beijing,… read more here.

Keywords: risk; source; combustion; vehicle emissions ... See more keywords
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Large eddy simulation of vehicle emissions dispersion: Implications for on-road remote sensing measurements.

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Published in 2020 at "Environmental pollution"

DOI: 10.1016/j.envpol.2020.113974

Abstract: On-road remote sensing technology measures the concentration ratios of pollutants over CO2 in the exhaust plume in half a second when a vehicle passes by a measurement site, providing a rapid, non-intrusive and economic tool… read more here.

Keywords: road remote; vehicle; emissions dispersion; remote sensing ... See more keywords
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Vegetation and vehicle emissions around primary schools across urban Australia: associations with academic performance.

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Published in 2022 at "Environmental research"

DOI: 10.1016/j.envres.2022.113256

Abstract: BACKGROUND Evolving evidence suggests that vegetation surrounding schools is beneficial to children's academic performance, however vehicle emissions are adversely related. Little is known about concurrent impacts of vegetation and vehicle emissions on academic performance. This… read more here.

Keywords: academic performance; vegetation vehicle; vegetation; mathematics ... See more keywords
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Effects of vehicle emissions on the PM2.5 dispersion and intake fraction in urban street canyons

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Published in 2021 at "Journal of Cleaner Production"

DOI: 10.1016/j.jclepro.2021.129212

Abstract: Abstract Vehicle emissions are the primary source of particulate matter 2.5 (PM2.5) emissions, and exposure to traffic-related air pollution can harm human health. The significance of source–exposure relationship study in a street canyon scale is… read more here.

Keywords: traffic; pm2; street; intake fraction ... See more keywords
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Comparison of the cost-effectiveness of eliminating high-polluting old vehicles and imposing driving restrictions to reduce vehicle emissions in Beijing

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Published in 2019 at "Transportation Research Part D: Transport and Environment"

DOI: 10.1016/j.trd.2018.10.006

Abstract: Abstract Motor vehicle emissions contribute significantly to air pollution in Beijing. Therefore, a number of measures have been taken to control emissions from motor vehicles, including the elimination of high-polluting old vehicles and driving restrictions.… read more here.

Keywords: old vehicles; high polluting; driving restrictions; policy ... See more keywords
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Data-driven models for microscopic vehicle emissions

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Published in 2019 at "Transportation Research Part D: Transport and Environment"

DOI: 10.1016/j.trd.2019.09.013

Abstract: Abstract In this paper, a new approach for describing the relationship between tailpipe emissions and vehicle movement variables is presented, called generalized additive model for location, scale and shape (GAMLSS). The dataset for this model… read more here.

Keywords: microscopic vehicle; driven models; vehicle; data driven ... See more keywords
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Secondary Organic Aerosol Formation of Fleet Vehicle Emissions in China: Potential Seasonality of Spatial Distributions.

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Published in 2021 at "Environmental science & technology"

DOI: 10.1021/acs.est.0c08591

Abstract: Vehicle emissions are an important source of urban particular matter. To investigate the secondary organic aerosol (SOA) formation potential of real-world vehicle emissions, we exposed on-road air in Beijing to hydroxyl radicals generated in an… read more here.

Keywords: secondary organic; vehicle; organic aerosol; formation ... See more keywords
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A Microscopic Model of Vehicle CO₂ Emissions Based on Deep Learning—A Spatiotemporal Analysis of Taxicabs in Wuhan, China

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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3151655

Abstract: It is important to assess environmental impact of intelligent transportation systems, and hence developing a vehicle emission model with high accuracy has been a long-standing topic in transportation research. However, current vehicle emission models are… read more here.

Keywords: deep learning; model; vehicle; vehicle emissions ... See more keywords