A Novel Method for Traffic Estimation and Air Quality Assessment in California
Abstract
:1. Introduction
2. Data
2.1. Traffic Data
2.2. Air Pollutant Data
3. Methodology
3.1. Traffic Variables
3.2. Data Analysis
- Average traffic volume of each EPA site;
- Time series of the average traffic volumes of EPA sites in metropolitan areas;
- Differences in the average traffic volume, NO2, and CO between 2020 and 2021;
- Correlation between the traffic volume and NO2/CO.
- First period: 6 January 2020 to 19 March 2020;
- Second period: 6 January 2021 to 19 March 2021;
- All periods: 6 January 2020 to 31 December 2021.
4. Results
4.1. Traffic Volume
4.2. Traffic Volume and Air Pollution
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Moon, J.; Hong, J.G.; Park, T.-W. A Novel Method for Traffic Estimation and Air Quality Assessment in California. Sustainability 2022, 14, 9169. https://doi.org/10.3390/su14159169
Moon J, Hong JG, Park T-W. A Novel Method for Traffic Estimation and Air Quality Assessment in California. Sustainability. 2022; 14(15):9169. https://doi.org/10.3390/su14159169
Chicago/Turabian StyleMoon, Jucheol, Jin Gi Hong, and Tae-Won Park. 2022. "A Novel Method for Traffic Estimation and Air Quality Assessment in California" Sustainability 14, no. 15: 9169. https://doi.org/10.3390/su14159169
APA StyleMoon, J., Hong, J. G., & Park, T. -W. (2022). A Novel Method for Traffic Estimation and Air Quality Assessment in California. Sustainability, 14(15), 9169. https://doi.org/10.3390/su14159169