ArticleJournal of exposure science & environmental epidemiology2026
Mobility-driven estimate reveals elevated air pollution exposure and socioeconomic disparities beyond residence-based approaches in Boston.
Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundResidence-based air pollution exposure assessments ignore daily human mobility and may misrepresent exposure levels and disparities across population groups.
objectiveWe hypothesize that incorporating high-resolution mobility trajectories into exposure modeling will reveal higher average PM
methodsWe analyzed 155,000 trip records from 990 Boston-area participants (June-December 2023) collected via smartphone GPS, linked to PM
resultsMobility-informed exposures averaged 0.10 µg/m SIGNIFICANCE: These findings demonstrate that neglecting mobility systematically underestimates exposure levels and obscures environmental injustices. IMPACT STATEMENT: Integrating dynamic mobility data with hyperlocal air quality monitoring provides a refined framework for accurate exposure assessment, informing equitable public health policies and targeted interventions.
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