IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0307096.html
   My bibliography  Save this article

Exposure to fine particulate matter in the New York City subway system during home-work commute

Author

Listed:
  • Shams Azad
  • Pau Ferrer-Cid
  • Masoud Ghandehari

Abstract

The New York City (NYC) subway system accommodates 5.5 million daily commuters, and the environment within the subway is known to have high concentrations of fine particulate matter (PM2.5) pollution. Naturally, subway air pollution varies among individuals according to their mobility patterns, introducing the possibility of inequality in PM2.5 exposure. This study aims to evaluate individual and community-level exposure to subway PM2.5. We simulated the intracity home-to-work trip patterns using the Longitudinal Employer-Household Dynamics (LEHD) records of 3.1 million working commuters across 34,169 census blocks in four boroughs (Manhattan, Brooklyn, Queens, and the Bronx) of NYC. We incorporated the on-platform and on-train measured PM2.5 concentration data for the entire subway system. The mean underground platform concentration in the city was 139 μg/m3 with a standard deviation of 25 μg/m3, while the on-train concentration when underground was 99 μg/m3 with a standard deviation of 21 μg/m3. Using a network model, we determined the exposure of individual commuters during their daily home-work trips. We quantified the mean per capita exposure at the census block level by considering the proportion of workers within the blocks who rely on the subway for their work commute. Results indicate statistically significant weak positive correlation between elevated subway PM2.5 exposure and economically disadvantaged and racial minority groups.

Suggested Citation

  • Shams Azad & Pau Ferrer-Cid & Masoud Ghandehari, 2024. "Exposure to fine particulate matter in the New York City subway system during home-work commute," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-20, August.
  • Handle: RePEc:plo:pone00:0307096
    DOI: 10.1371/journal.pone.0307096
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0307096
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0307096&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0307096?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. World Bank, 2020. "The Global Health Cost of Ambient PM2.5 Air Pollution," World Bank Publications - Reports 35721, The World Bank Group.
    2. Yongil Lee & Young-Chul Lee & Taesung Kim & Jin Seok Choi & Duckshin Park, 2018. "Sources and Characteristics of Particulate Matter in Subway Tunnels in Seoul, Korea," IJERPH, MDPI, vol. 15(11), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Borck, Rainald & Mulder, Peter, 2024. "Energy policies and pollution in two developing country cities: A quantitative model," Journal of Development Economics, Elsevier, vol. 171(C).
    2. Yueming Wen & Jiawei Leng & Xiaobing Shen & Gang Han & Lijun Sun & Fei Yu, 2020. "Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review," IJERPH, MDPI, vol. 17(3), pages 1-37, February.
    3. World Bank, 2022. "The Global Health Cost of PM2.5 Air Pollution," World Bank Publications - Books, The World Bank Group, number 36501, April.
    4. Jun Ho Jo & ByungWan Jo & Jung Hoon Kim & Ian Choi, 2020. "Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM 10 ) in Subway Tunnels," IJERPH, MDPI, vol. 17(15), pages 1-12, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0307096. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.