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Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas
The large transmission of COVID-19 has resulted in a deep impact on the surrounding urban environments, especially on air quality and traffic flows. The objective of this study was to analyze air pollutant concentrations (PM10, SO(2), NO(2), CO, and O(3)) and traffic volumes at five congested distri...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713524/ http://dx.doi.org/10.1177/11786221221139529 |
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author | Rendana, Muhammad Idris, Wan Mohd Razi Rahim, Sahibin Abdul Latif, Mohd Talib |
author_facet | Rendana, Muhammad Idris, Wan Mohd Razi Rahim, Sahibin Abdul Latif, Mohd Talib |
author_sort | Rendana, Muhammad |
collection | PubMed |
description | The large transmission of COVID-19 has resulted in a deep impact on the surrounding urban environments, especially on air quality and traffic flows. The objective of this study was to analyze air pollutant concentrations (PM10, SO(2), NO(2), CO, and O(3)) and traffic volumes at five congested districts (Bundaran HI, Kelapa Gading, Jagakarsa, Lubang Buaya, and Kebon Jeruk) within Jakarta city impacted by the large-scale social restriction (LSSR) policy. Air quality data during three periods; before, during, and after the LSSR at five observed districts was obtained from the Department of Environment of Jakarta using the Air Quality Monitoring (AQMS) tool. While vehicle speed data were obtained from the waze data during the study period. In this study, air pollutant data during three periods; before, during, and after the LSSR were compared with vehicle speed and meteorological data using a statistical analysis. Results revealed the mean traffic volume at all five districts has greatly reduced by 19% from before to during the LSSR period. It was consistent with the mean PM10, NO(2), CO, and SO(2) concentrations which also dropped about 46%, 45%, 30%, and 23% respectively. In contrast, the concentrations of air pollutants significantly increased after the LSSR period. During the LSSR period, the traffic volume was negatively associated with the O(3) concentration (r = −.86, p < .01), it was different with before the LSSR periods where the traffic volume associated with CO (r = .88, p < .01) and NO(2) (r = .89, p < .01). The broad analysis of changes in air pollutants and traffic volumes can be used by the authorities to arrange a good air quality management and an effective way for current and future scenarios. |
format | Online Article Text |
id | pubmed-9713524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-97135242022-12-02 Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas Rendana, Muhammad Idris, Wan Mohd Razi Rahim, Sahibin Abdul Latif, Mohd Talib Air, Soil and Water Research Original Research The large transmission of COVID-19 has resulted in a deep impact on the surrounding urban environments, especially on air quality and traffic flows. The objective of this study was to analyze air pollutant concentrations (PM10, SO(2), NO(2), CO, and O(3)) and traffic volumes at five congested districts (Bundaran HI, Kelapa Gading, Jagakarsa, Lubang Buaya, and Kebon Jeruk) within Jakarta city impacted by the large-scale social restriction (LSSR) policy. Air quality data during three periods; before, during, and after the LSSR at five observed districts was obtained from the Department of Environment of Jakarta using the Air Quality Monitoring (AQMS) tool. While vehicle speed data were obtained from the waze data during the study period. In this study, air pollutant data during three periods; before, during, and after the LSSR were compared with vehicle speed and meteorological data using a statistical analysis. Results revealed the mean traffic volume at all five districts has greatly reduced by 19% from before to during the LSSR period. It was consistent with the mean PM10, NO(2), CO, and SO(2) concentrations which also dropped about 46%, 45%, 30%, and 23% respectively. In contrast, the concentrations of air pollutants significantly increased after the LSSR period. During the LSSR period, the traffic volume was negatively associated with the O(3) concentration (r = −.86, p < .01), it was different with before the LSSR periods where the traffic volume associated with CO (r = .88, p < .01) and NO(2) (r = .89, p < .01). The broad analysis of changes in air pollutants and traffic volumes can be used by the authorities to arrange a good air quality management and an effective way for current and future scenarios. SAGE Publications 2022-11-29 /pmc/articles/PMC9713524/ http://dx.doi.org/10.1177/11786221221139529 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Rendana, Muhammad Idris, Wan Mohd Razi Rahim, Sahibin Abdul Latif, Mohd Talib Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas |
title | Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas |
title_full | Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas |
title_fullStr | Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas |
title_full_unstemmed | Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas |
title_short | Impact of COVID-19 Pandemic on Traffic Volume and Air Quality in Urban Areas |
title_sort | impact of covid-19 pandemic on traffic volume and air quality in urban areas |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713524/ http://dx.doi.org/10.1177/11786221221139529 |
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