Abstract
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.
Highlights
Ambient air pollution is a major factor for various diseases and cardiovascular health effect, which has been proven in epidemiological studies in the past decade, especially cardiorespiratory diseases [1,2,3,4]
We found that the spread of PM2.5 concentration in the urban road network is positively correlated with urban commuting
Since most of the monitoring sites are far away from the arterial road, the concentration of PM2.5 at the city monitoring sites cannot reflect the pollution situation near roads, and the value of pollutant concentration may be underestimated. e PM2.5 concentration on the road maybe 2–5 times that of urban monitoring sites. It can be seen from the estimated results of the PM2.5 concentration of the road network that there are some heavily polluted road sections within the Fourth Ring Road, such as Xizhimen, Guomao, and Deshengmen. e PM2.5 concentration at these critical road sections exceeds 70 μg/m3
Summary
Ambient air pollution is a major factor for various diseases and cardiovascular health effect, which has been proven in epidemiological studies in the past decade, especially cardiorespiratory diseases [1,2,3,4]. Sun et al [24] found that the length of the road, the distance to the city center, and the density of bus stations would substantially increase the emission rate Only using these measurements cannot adequately represent local traffic-related air pollution which shows high spatial variability on a small scale. Erefore, the study of the concentration of pollutants in the urban road network needs to explore the spatial and temporal relationship between traffic conditions and environmental changes. (c) When estimating the PM2.5 concentration on the road network, this study uses actual data to verify the emission model parameters. By considering dynamic traffic conditions, the study provides a method for estimating PM2.5 concentration on urban road networks.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
