Data model
This dataset describes air pollution levels inunderground stations in the Paris region network
Airparif data
It was created in collaboration with Airparif:
Evaluation date 2024 :
This map, drawn up by Airparif, assesses air pollution levels levels of particulate air pollution for each station platform and station station in the Paris region in relation to the reference values recommended by the Agence Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES). sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES).
It relies on a statistical model based on an advanced machine learning machine learning technique developed by Airparif, using measurement campaigns by operators (RATP and SNCF) over long periods, using reference using reference equipment in 44 station platforms. This model takes into account 19 factors influencing air pollution in these spaces. spaces.
Aside from traffic frequency and the configuration of the station or station (volume, length of tunnels on either side, depth of station number of connections and entrances/exits, etc.), one of the most important important findings of the Airparif study is that the type of rolling stock type of rolling stock, and braking systems in particular, has a major influence on air pollution levels. air pollution levels. Ventilation and the presence of landing doors are also significant influencing factors.
Underground rail enclosures are characterized by lower concentrations of gaseous pollutants and higher concentrations of particulates higher than in ambient air. These particles are generated by the wear and tear of braking systems, wheel friction and the resuspension of particles with each passing train, accumulating each train passage, accumulating all the more as the environment is closed environment.