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Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution

BACKGROUND: Motor vehicles, including public transit buses, are a major source of air pollution in New York City (NYC) and worldwide. To address this problem, governments and transit agencies have implemented policies to introduce cleaner vehicles into transit fleets. Beginning in 2000, the Metropol...

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Autores principales: Lovasi, Gina S., Treat, Christian A., Fry, Dustin, Shah, Isha, Clougherty, Jane E., Berberian, Alique, Perera, Frederica P., Kioumourtzoglou, Marianthi-Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234802/
https://www.ncbi.nlm.nih.gov/pubmed/35906405
http://dx.doi.org/10.1038/s41370-022-00454-5
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author Lovasi, Gina S.
Treat, Christian A.
Fry, Dustin
Shah, Isha
Clougherty, Jane E.
Berberian, Alique
Perera, Frederica P.
Kioumourtzoglou, Marianthi-Anna
author_facet Lovasi, Gina S.
Treat, Christian A.
Fry, Dustin
Shah, Isha
Clougherty, Jane E.
Berberian, Alique
Perera, Frederica P.
Kioumourtzoglou, Marianthi-Anna
author_sort Lovasi, Gina S.
collection PubMed
description BACKGROUND: Motor vehicles, including public transit buses, are a major source of air pollution in New York City (NYC) and worldwide. To address this problem, governments and transit agencies have implemented policies to introduce cleaner vehicles into transit fleets. Beginning in 2000, the Metropolitan Transit Agency began deploying compressed natural gas, hybrid electric, and low-sulfur diesel buses to reduce urban air pollution. OBJECTIVE: We hypothesized that bus fleet changes incorporating cleaner vehicles would have detectable effects on air pollution concentrations between 2009 and 2014, as measured by the New York City Community Air Survey (NYCCAS). METHODS: Depot- and route-specific information allowed identification of areas with larger or smaller changes in the proportion of distance traveled by clean buses. Data were assembled for 9670 300 m × 300 m grid cell areas with annual concentration estimates for nitrogen oxide (NO), nitrogen dioxide (NO(2)), and black carbon (BC) from NYCCAS. Spatial error models adjusted for truck route presence and total traffic volume. RESULTS: While concentrations of all three pollutants declined between 2009 and 2014 even in the 39.7% of cells without bus service, the decline in concentrations of NO and NO(2) was greater in areas with more bus service and with higher proportional shifts toward clean buses. Conversely, the decline in BC concentration was slower in areas with more bus service and higher proportional clean bus shifts. SIGNIFICANCE: These results provide evidence that the NYC clean bus program impacted concentrations of air pollution, particularly in reductions of NO(2). Further work can investigate the potential impact of these changes on health outcomes in NYC residents. IMPACT STATEMENT: Urban air pollution from diesel-burning buses is an important health exposure. The New York Metropolitan Transit Agency has worked to deploy cleaner buses into their fleet, but the impact of this policy has not been evaluated. Successful reductions in air pollution are critical for public health.
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spelling pubmed-102348022023-06-03 Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution Lovasi, Gina S. Treat, Christian A. Fry, Dustin Shah, Isha Clougherty, Jane E. Berberian, Alique Perera, Frederica P. Kioumourtzoglou, Marianthi-Anna J Expo Sci Environ Epidemiol Article BACKGROUND: Motor vehicles, including public transit buses, are a major source of air pollution in New York City (NYC) and worldwide. To address this problem, governments and transit agencies have implemented policies to introduce cleaner vehicles into transit fleets. Beginning in 2000, the Metropolitan Transit Agency began deploying compressed natural gas, hybrid electric, and low-sulfur diesel buses to reduce urban air pollution. OBJECTIVE: We hypothesized that bus fleet changes incorporating cleaner vehicles would have detectable effects on air pollution concentrations between 2009 and 2014, as measured by the New York City Community Air Survey (NYCCAS). METHODS: Depot- and route-specific information allowed identification of areas with larger or smaller changes in the proportion of distance traveled by clean buses. Data were assembled for 9670 300 m × 300 m grid cell areas with annual concentration estimates for nitrogen oxide (NO), nitrogen dioxide (NO(2)), and black carbon (BC) from NYCCAS. Spatial error models adjusted for truck route presence and total traffic volume. RESULTS: While concentrations of all three pollutants declined between 2009 and 2014 even in the 39.7% of cells without bus service, the decline in concentrations of NO and NO(2) was greater in areas with more bus service and with higher proportional shifts toward clean buses. Conversely, the decline in BC concentration was slower in areas with more bus service and higher proportional clean bus shifts. SIGNIFICANCE: These results provide evidence that the NYC clean bus program impacted concentrations of air pollution, particularly in reductions of NO(2). Further work can investigate the potential impact of these changes on health outcomes in NYC residents. IMPACT STATEMENT: Urban air pollution from diesel-burning buses is an important health exposure. The New York Metropolitan Transit Agency has worked to deploy cleaner buses into their fleet, but the impact of this policy has not been evaluated. Successful reductions in air pollution are critical for public health. Nature Publishing Group US 2022-07-20 2023 /pmc/articles/PMC10234802/ /pubmed/35906405 http://dx.doi.org/10.1038/s41370-022-00454-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lovasi, Gina S.
Treat, Christian A.
Fry, Dustin
Shah, Isha
Clougherty, Jane E.
Berberian, Alique
Perera, Frederica P.
Kioumourtzoglou, Marianthi-Anna
Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution
title Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution
title_full Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution
title_fullStr Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution
title_full_unstemmed Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution
title_short Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution
title_sort clean fleets, different streets: evaluating the effect of new york city’s clean bus program on changes to estimated ambient air pollution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234802/
https://www.ncbi.nlm.nih.gov/pubmed/35906405
http://dx.doi.org/10.1038/s41370-022-00454-5
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