ArticleInternational journal of environmental research and public health2017
Evaluation of Traffic Density Parameters as an Indicator of Vehicle Emission-Related Near-Road Air Pollution: A Case Study with NEXUS Measurement Data on Black Carbon.
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 39 citations in OpenAlex.
- Contribution of congested traffic flow condition to air pollution at intersections in Addis Ababa, Ethiopia.Heliyon · 2024Article
- A census tract-level assessment of social determinants of health, traffic exposure, and asthma exacerbations in New York State's Medicaid Population (2005-2015).Eco-Environment & Health · 2024Article
- Adult asthma associated with roadway density and housing in rural Appalachia: the Mountain Air Project (MAP).Environmental health : a global access science source · 2023Article
- Characteristics of peak exposure to black carbon pollution in school, commute and home environments among school children in an urban community.Environmental pollution (Barking, Essex : 1987) · 2023Article
- The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution.International journal of environmental research and public health · 2022Article
- Road traffic and air pollution: Evidence from a nationwide traffic control during coronavirus disease 2019 outbreak.The Science of the total environment · 2021Article
- Traffic Density-Related Black Carbon Distribution: Impact of Wind in a Basin Town.International journal of environmental research and public health · 2021Article
- Assessing the Impact of Wildfires on the Use of Black Carbon as an Indicator of Traffic Exposures in Environmental Epidemiology Studies.GeoHealth · 2021Article
- A Spatiotemporal Prediction Model for Black Carbon in the Denver Metropolitan Area, 2009-2020.Environmental science & technology · 2021Article
- Geographical Variation of COPD Mortality and Related Risk Factors in Jiading District, Shanghai.Frontiers in public health · 2021Article
- Preconception air pollution exposure and glucose tolerance in healthy pregnant women in a middle-income country.Environmental health : a global access science source · 2020Article
- Early Proteome Shift and Serum Bioactivity Precede Diesel Exhaust-induced Impairment of Cardiovascular Recovery in Spontaneously Hypertensive Rats.Scientific reports · 2019Article
- Fresh and ozonized black carbon promoted DNA damage and repair responses in A549 cells.Toxicology research · 2019Article
- Retooling CalEnviroScreen: Cumulative Pollution Burden and Race-Based Environmental Health Vulnerabilities in California.International journal of environmental research and public health · 2018Article
- Association between air pollution in the 2015 winter in South Korea and population size, car emissions, industrial activity, and fossil-fuel power plants: an ecological study.Annals of occupational and environmental medicine · 2018Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/intensity into models such as land use regression (LUR) models has improved exposure estimation. To better understand the relationship between vehicle emissions and near-road air pollution, we evaluated three traffic density-based indices: Major-Road Density (MRD), All-Traffic Density (ATD) and Heavy-Traffic Density (HTD) which represent the proportions of major roads, major road with annual average daily traffic (AADT), and major road with commercial annual average daily traffic (CAADT) in a buffered area, respectively. We evaluated the potential of these indices as vehicle emission-specific near-road air pollutant indicators by analyzing their correlation with black carbon (BC), a marker for mobile source air pollutants, using measurement data obtained from the Near-road Exposures and Effects of Urban Air Pollutants Study (NEXUS). The average BC concentrations during a day showed variations consistent with changes in traffic volume which were classified into high, medium, and low for the morning rush hours, the evening rush hours, and the rest of the day, respectively. The average correlation coefficients between BC concentrations and MRD, ATD, and HTD, were 0.26, 0.18, and 0.48, respectively, as compared with -0.31 and 0.25 for two commonly used traffic indicators: nearest distance to a major road and total length of the major road. HTD, which includes only heavy-duty diesel vehicles in its traffic count, gives statistically significant correlation coefficients for all near-road distances (50, 100, 150, 200, 250, and 300 m) that were analyzed. Generalized linear model (GLM) analyses show that season, traffic volume, HTD, and distance from major roads are highly related to BC measurements. Our analyses indicate that traffic density parameters may be more specific indicators of near-road BC concentrations for health risk studies. HTD is the best index for reflecting near-road BC concentrations which are influenced mainly by the emissions of heavy-duty diesel engines.
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