A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations

Marie-Laure Aix, Mélaine Claitte, Dominique Bicout

2023

Abstract

In 2013, the International Agency for Research on Cancer classified particulate matter (PM) as carcinogenic to humans. It is therefore essential to measure PM concentrations to minimize the exposure of individuals. Our objective was to investigate personal exposure to PM2.5 (PM with diameter ≤ 2.5 µm) in Grenoble (France) during commuting in different transportation modes: bike, walk, bus and tramway. PM2.5 measurements were found to be the highest for bikes, followed by walk, bus, and tramway. In this study, conducted in spring during low pollution levels of PM, exposure levels are greatly influenced by the time of day. Pedestrian and cyclists’ exposure generally stayed under background reference values. Exposure in public transportation was usually below reference values, but when background PM2.5 levels went lower (evening), levels registered in the tramway or bus reached those of the reference. Therefore, public transport users could be less exposed than active commuters, except when ambient pollutant levels are low. Environmental parameters like wind might be important in Grenoble, and it would be worthwhile to reproduce this study at a time when wind speed is lower.

Paper Citation

in Harvard Style

Aix M., Claitte M. and Bicout D. (2023). A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations. In Proceedings of the 12th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-635-4, pages 32-41. DOI: 10.5220/0011747600003399

in Bibtex Style

@conference{sensornets23,
author={Marie-Laure Aix and Mélaine Claitte and Dominique Bicout},
title={A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations},
booktitle={Proceedings of the 12th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2023},
pages={32-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011747600003399},
isbn={978-989-758-635-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations
SN - 978-989-758-635-4
AU - Aix M.
AU - Claitte M.
AU - Bicout D.
PY - 2023
SP - 32
EP - 41
DO - 10.5220/0011747600003399