DOI: 10.1016/j.atmosenv.2015.02.047
Scopus记录号: 2-s2.0-84923578038
论文题名: Temporal variation of traffic on highways and the development of accurate temporal allocation factors for air pollution analyses
作者: Batterman S ; , Cook R ; , Justin T
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 107 起始页码: 351
结束页码: 363
语种: 英语
英文关键词: Classification
; Freeways
; Highways
; Mobile sources
; Traffic
; Vehicles
Scopus关键词: Air pollution
; Air quality
; Airships
; Classification (of information)
; Commercial vehicles
; Highway systems
; Mobile power plants
; Pollution
; Quality control
; Telecommunication traffic
; Transportation
; Urban growth
; Vehicles
; Air quality dispersion models
; Ambient air quality
; Exposure estimates
; Highways
; Mobile sources
; Temporal variation
; Traffic activities
; Vehicle classification
; Traffic congestion
; accuracy assessment
; air quality
; atmospheric pollution
; environmental assessment
; estimation method
; pollution monitoring
; road transport
; traffic emission
; air pollutant
; air quality standard
; ambient air
; Article
; dispersion
; highway
; leisure
; motor vehicle
; prediction
; priority journal
; United States
; Detroit
; Michigan
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Traffic activity encompasses the number, mix, speed and acceleration of vehicles on roadways. The temporal pattern and variation of traffic activity reflects vehicle use, congestion and safety issues, and it represents a major influence on emissions and concentrations of traffic-related air pollutants. Accurate characterization of vehicle flows is critical in analyzing and modeling urban and local-scale pollutants, especially in near-road environments and traffic corridors. This study describes methods to improve the characterization of temporal variation of traffic activity. Annual, monthly, daily and hourly temporal allocation factors (TAFs), which describe the expected temporal variation in traffic activity, were developed using four years of hourly traffic activity data recorded at 14 continuous counting stations across the Detroit, Michigan, U.S. region. Five sites also provided vehicle classification. TAF-based models provide a simple means to apportion annual average estimates of traffic volume to hourly estimates. The analysis shows the need to separate TAFs for total and commercial vehicles, and weekdays, Saturdays, Sundays and observed holidays. Using either site-specific or urban-wide TAFs, nearly all of the variation in historical traffic activity at the street scale could be explained; unexplained variation was attributed to adverse weather, traffic accidents and construction. The methods and results presented in this paper can improve air quality dispersion modeling of mobile sources, and can be used to evaluate and model temporal variation in ambient air quality monitoring data and exposure estimates. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81896
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1420 Washington Heights, Ann Arbor, MI, United States; Health Effects, Benefits, and Air Toxics Center, Assessment and Standards Division, Office of Transportation and Air Quality, U. S. Environmental Protection Agency, Ann Arbor, MI, United States; College of Engineering, University of Michigan, Ann Arbor, MI, United States
Recommended Citation:
Batterman S,, Cook R,, Justin T. Temporal variation of traffic on highways and the development of accurate temporal allocation factors for air pollution analyses[J]. Atmospheric Environment,2015-01-01,107