Variability in mobility-based air pollution exposure assessment: Effects of GPS tracking duration and temporal resolution of air pollution maps
Mobility-based exposure assessment of air pollution has been proposed as a potentially more valid approach than home-based assessments. However, methodological uncertainties in operationalizing mobility-based assessment may still increase inaccuracies in estimating exposures. It remains unclear whether using short-term mobility data and yearly average air pollution concentrations is reliable for estimating personal air pollution exposure. This study aimed to assess variability in exposure estimates modeled by short- and long-term global positioning system (GPS) data and air pollution maps with yearly and monthly temporal resolutions. We tracked 428 participants for a short period (14 days) with a GPS device and for a long period (several months) with a smartphone application. Exposure estimates of nitrogen dioxide, ozone, and fine particulate matter (PM<sub>10</sub> and PM<sub>2.5</sub>) were computed based on GPS data, air pollution maps, and temporal and indoor/outdoor adjustments. The concordance correlation coefficient (CCC) indicated excellent agreement (0.85-0.99) between exposure estimates based on short- and long-term GPS data from smartphones but ranged from moderate to excellent (0.57-0.99) when comparing exposure estimates based on data from different devices. Agreement between yearly and monthly map-based estimates was poor to moderate without temporal adjustment (CCC: 0-0.63) but excellent after temporal adjustment (CCC: 0.92-1.0). The findings suggest that using short-term (i.e., 7 or 14 days) GPS data and yearly average air pollution concentrations in mobility-based assessments can well represent long-term mobility and yearly averages for determining long-term exposures. However, GPS data collected via dedicated devices and smartphones may identify distinct indoor/outdoor patterns, affecting the indoor/outdoor adjustments of exposure estimates. Additionally, careful selection of using yearly or monthly maps is advised for assessing exposures within specific short periods.
Authors
- Ayoung Jeong (ORCID: https://orcid.org/0000-0003-1542-0756)
- Nicole M Probst-Hensch (ORCID: https://orcid.org/0000-0001-8561-5976)
- Roel C.H. Vermeulen (ORCID: https://orcid.org/0000-0003-4082-8163)
- Lai Wei (ORCID: https://orcid.org/0000-0001-6688-4919)
- Kees de Hoogh (ORCID: https://orcid.org/0000-0001-5974-2007)
- Benjamin Flückiger (ORCID: https://orcid.org/0000-0002-6838-3648)
- Marco Helbich (ORCID: https://orcid.org/0000-0003-0392-8915)
- Youchen Shen (ORCID: https://orcid.org/0000-0002-7020-4880)
- Jelle Vlaanderen (ORCID: https://orcid.org/0000-0002-9096-692X)
- Gerard Hoek
Institutions
- Utrecht University (NL)
Publication Details
- Journal
- Environment International
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.envint.2025.109454
- Citations
- 7
- Primary Topic
- Air Quality and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 8.40
Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Horizon 2020 Framework Programme