A growing
number of international studies have highlighted that ambient air pollution
exposures are related to different health outcomes. To do so, researchers need
to estimate exposure levels to air pollution throughout everyday life. In the
literature, the most commonly used estimate is based on home address only or
taking into account, in addition, the work address. However, several studies
have shown the importance of daily mobility in the estimate of exposure to air
pollutants. In this context, we developed an R procedure that estimates
individual exposures combining home addresses, several important places, and
itineraries of the principal mobility during a week. It supplies researchers a
useful tool to calculate individual daily exposition to air pollutants
weighting by the time spent at each of the most frequented locations (work,
shopping, residential address, etc.) and while commuting. This task requires
the efficient calculation of travel time matrices or the examination of
multimodal transport routes. This procedure is freely available from the Equit’Area
project website: (https://www.equitarea.org). This procedure is structured in three parts: the
first part is to create a network, the second allows to estimate main itineraries
of the daily mobility and the last one tries to reconstitute the level of air
pollution exposure. One main advantage of the tool is that the procedure can be
used with different spatial scales and for any air pollutant.
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