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Validity of mobility-based exposure assessment of air pollution : A comparative analysis with home-based exposure assessment
Wei, Lai Donaire Gonzalez, David Helbich, Marco van Nunen, Erik Hoek, Gerard Vermeulen, Roel C. H.
Wei, Lai
Donaire Gonzalez, David
Helbich, Marco
van Nunen, Erik
Hoek, Gerard
Vermeulen, Roel C. H.
Abstract
Air pollution exposure is typically assessed at the front door where people live in large-scale epidemiological studies, overlooking individuals’ daily mobility out-of-home. However, there is limited evidence that incorporating mobility data into personal air pollution assessment improves exposure assessment compared to home-based assessments. This study aimed to compare the agreement between mobility-based and home-based assessments with personal exposure measurements. We measured repeatedly particulate matter (PM2.5) and black carbon (BC) using a sample of 41 older adults in the Netherlands. In total, 104 valid 24 h average personal measurements were collected. Home-based exposures were estimated by combining participants’ home locations and temporal-adjusted air pollution maps. Mobility-based estimates of air pollution were computed based on smartphone-based tracking data, temporal-adjusted air pollution maps, indoor-outdoor penetration, and travel mode adjustment. Intraclass correlation coefficients (ICC) revealed that mobility-based estimates significantly improved agreement with personal measurements compared to home-based assessments. For PM2.5, agreement increased by 64% (ICC: 0.39–0.64), and for BC, it increased by 21% (ICC: 0.43–0.52). Our findings suggest that adjusting for indoor-outdoor pollutant ratios in mobility-based assessments can provide more valid estimates of air pollution than the commonly used home-based assessments, with no added value observed from travel mode adjustments.
Keywords
air pollution, GPS, personal exposure, PM2.5, black carbon, exposure assessment
Date
2024
Type
Journal article
Journal
Environmental Science and Technology
Book
Volume
58
Issue
24
Page Range
10685-10695
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
Collections
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open
Notes
Copyright © 2024 The Authors. Published by American Chemical Society.
This publication is licensed under CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/).