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The variability of the traffic related exposure is modeled by type of environment (bike, walk, in-vehicle, indoor) in a resolution of 10 seconds based on real-life exposure measurements. This paper describes the overall methodology and how to use this approach for policy support and health effect assessments.

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This page is a summary of: Extending Participatory Sensing to Personal Exposure Using Microscopic Land Use Regression Models, International Journal of Environmental Research and Public Health, May 2017, MDPI AG,
DOI: 10.3390/ijerph14060586.
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