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Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5)
Characterizing multiple risk stemming from automobiles are required from the viewpoint of priority setting for future risk management. However, little is known about such issues given the inadequacy of indicators. In this research, with the illustration of the metropolitan city of Osaka, Japan, usin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877546/ https://www.ncbi.nlm.nih.gov/pubmed/33614393 http://dx.doi.org/10.1007/s10669-021-09800-8 |
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author | Okazaki, Yuki Ito, Lisa Tokai, Akihiro |
author_facet | Okazaki, Yuki Ito, Lisa Tokai, Akihiro |
author_sort | Okazaki, Yuki |
collection | PubMed |
description | Characterizing multiple risk stemming from automobiles are required from the viewpoint of priority setting for future risk management. However, little is known about such issues given the inadequacy of indicators. In this research, with the illustration of the metropolitan city of Osaka, Japan, using disability-adjusted life years (DALYs), impacts of road traffic noise and exhausts gas (nitrogen dioxide (NO(2)) and particulate matter (PM(2.5))) were quantified and compared with the risks of ischemic heart disease and high sleep disturbance; and respiratory disease as endpoints, respectively. Health risks due to automobile noise were 3102.1 and 97.8 DALYs under the condition of open and closed windows, respectively. The health risks were reduced by 96.8% under closed-window condition. On the other hand, the health risks caused by NO(2) and PM(2.5) from automobiles were 137.6 DALYs, which was lower than the health risks due to automobile noise. These results indicate the effectiveness of DALYs as an indicator to characterize different kinds of burden of health and environmental impacts from automobiles, and they were successfully used to evaluate the effectiveness of risk reduction options such as the difference between open and closed windows. Furthermore, most people were found to have been exposed to 55–60 dB noise level. Although they easily get used to and can tolerate this level, it is also the stage at which health risks begin to occur. Therefore, with continuous exposure, qualitative estimation showed that open windows under this noise level subsequently leads to high potential health risks. |
format | Online Article Text |
id | pubmed-7877546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-78775462021-02-16 Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5) Okazaki, Yuki Ito, Lisa Tokai, Akihiro Environ Syst Decis Article Characterizing multiple risk stemming from automobiles are required from the viewpoint of priority setting for future risk management. However, little is known about such issues given the inadequacy of indicators. In this research, with the illustration of the metropolitan city of Osaka, Japan, using disability-adjusted life years (DALYs), impacts of road traffic noise and exhausts gas (nitrogen dioxide (NO(2)) and particulate matter (PM(2.5))) were quantified and compared with the risks of ischemic heart disease and high sleep disturbance; and respiratory disease as endpoints, respectively. Health risks due to automobile noise were 3102.1 and 97.8 DALYs under the condition of open and closed windows, respectively. The health risks were reduced by 96.8% under closed-window condition. On the other hand, the health risks caused by NO(2) and PM(2.5) from automobiles were 137.6 DALYs, which was lower than the health risks due to automobile noise. These results indicate the effectiveness of DALYs as an indicator to characterize different kinds of burden of health and environmental impacts from automobiles, and they were successfully used to evaluate the effectiveness of risk reduction options such as the difference between open and closed windows. Furthermore, most people were found to have been exposed to 55–60 dB noise level. Although they easily get used to and can tolerate this level, it is also the stage at which health risks begin to occur. Therefore, with continuous exposure, qualitative estimation showed that open windows under this noise level subsequently leads to high potential health risks. Springer US 2021-02-11 2021 /pmc/articles/PMC7877546/ /pubmed/33614393 http://dx.doi.org/10.1007/s10669-021-09800-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Okazaki, Yuki Ito, Lisa Tokai, Akihiro Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5) |
title | Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5) |
title_full | Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5) |
title_fullStr | Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5) |
title_full_unstemmed | Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5) |
title_short | Characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants NO(2) and PM(2.5) |
title_sort | characterizing potential risk triggered by road traffic noise in comparison with typical air pollutants no(2) and pm(2.5) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877546/ https://www.ncbi.nlm.nih.gov/pubmed/33614393 http://dx.doi.org/10.1007/s10669-021-09800-8 |
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