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<p>In response to concerns about urban air quality, this study examines particulate matter (PM2.5) exposure and data completeness across diverse demographics in Chicago using low-cost PurpleAir sensors. Chicago’s air quality, periodically worsened by both local emissions and external sources like wildfire smoke, presents health risks that are unevenly distributed across the city. PurpleAir public sensors started to be placed in 2018 with just 7 sensors, the network in Chicago has since expanded to 75 sensors by 2023, with new placements from community members helping to spread spatial and demographic gaps and enabling more detailed air quality data collection across diverse areas. Sensor coverage, data completeness, and correlations with community demographics were assessed over time, revealing that missing data was initially more prevalent in lower-income, majority-Hispanic neighborhoods. Results indicate that increased sensor placement has reduced demographic disparities in data completeness, yet certain communities remain underrepresented. Missingness remains a significant concern, especially during initial deployment and setup, highlighting the need for support to ensure data reliability. While increased coverage has improved spatial representation, targeted placement in high-risk areas and denser neighborhood-level sensor distribution are essential for equitable air quality monitoring. These findings underscore the need for further sensor deployment and maintenance strategies to ensure that air quality data effectively informs public health initiatives in all Chicago neighborhoods.</p>

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Closing demographic gaps in air quality monitoring: Community-deployed PurpleAir sensors and PM2.5 data in Chicago

  • 期刊论文

  • 发表日期：

    2025年11月27日

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  • Mena CR Whalen,
  • Alyssa Peer,
  • Leigha DeRango,
  • Nastaran Ghorbani,
  • Lily Kraus,
  • Jessica Post,
  • Ping Jing

摘要

In response to concerns about urban air quality, this study examines particulate matter (PM2.5) exposure and data completeness across diverse demographics in Chicago using low-cost PurpleAir sensors. Chicago’s air quality, periodically worsened by both local emissions and external sources like wildfire smoke, presents health risks that are unevenly distributed across the city. PurpleAir public sensors started to be placed in 2018 with just 7 sensors, the network in Chicago has since expanded to 75 sensors by 2023, with new placements from community members helping to spread spatial and demographic gaps and enabling more detailed air quality data collection across diverse areas. Sensor coverage, data completeness, and correlations with community demographics were assessed over time, revealing that missing data was initially more prevalent in lower-income, majority-Hispanic neighborhoods. Results indicate that increased sensor placement has reduced demographic disparities in data completeness, yet certain communities remain underrepresented. Missingness remains a significant concern, especially during initial deployment and setup, highlighting the need for support to ensure data reliability. While increased coverage has improved spatial representation, targeted placement in high-risk areas and denser neighborhood-level sensor distribution are essential for equitable air quality monitoring. These findings underscore the need for further sensor deployment and maintenance strategies to ensure that air quality data effectively informs public health initiatives in all Chicago neighborhoods.