Role of Traffic Emission on Temporal and Spatial Characteristics of Pollutant Concentration on Urban Road Network: A Case of Beijing

This research aims to calculate PM2.5 concentration on the road network by considering the network-wide traffic status, which can be used to support research about the impact of urban road network pollution concentration on health. The increase in the use and number of vehicles has brought about a l...

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Bibliographic Details
Published in:Journal of advanced transportation 2020-11, Vol.2020 (2020), p.1-21
Main Authors: Li, Yahui, Si, Yang, Zhou, Huixin, Wang, Zirui
Format: Article
Language:English
Subjects:
Air pollution
Automotive emissions
Cities
Covariance matrix
Diagnostic systems
Emission analysis
Emissions
Identification methods
Particulate matter
Pollutants
Pollution
Regression analysis
Roads
Roads & highways
Traffic
Traffic information
Transportation
Urban areas
Vehicle emissions
Vehicles
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Summary:This research aims to calculate PM2.5 concentration on the road network by considering the network-wide traffic status, which can be used to support research about the impact of urban road network pollution concentration on health. The increase in the use and number of vehicles has brought about a large amount of vehicle exhaust emissions and increased urban air pollutants. This is also one of the important reasons why this issue is worth studying. In this research, traffic emission was an estimate based on network-wide traffic status which was calculated from vehicle trajectories and spatial variance-covariance matrix. An identification method of external input pollutants is proposed to determine the occurrence of external pollutants imported into the urban area. To calculate the impact of multiple influencing factors on the pollution concentration of the entire road network, a multivariate linear model was adopted to calculate a variety of influencing factors and calibrate the model parameters by collecting real data. The results show that traffic emissions, external input pollution, and wind impact are the main factors affecting the PM2.5 concentration on urban road networks. Combined with real-time traffic data, we can obtain the temporal and spatial characteristics of the pollutant concentration of the road network. For policymakers, our research can provide a method for calculating the PM2.5 concentration on the road network, which is useful for establishing a health assessment framework in the future.
ISSN:0197-6729
2042-3195
DOI:10.1155/2020/8883697