To investigate the impact of individual or household characteristics on personal exposure to air pollution in
Flanders, the AB²C model was applied to perform a disaggregated exposure analyses. The activity-based model
FEATHERS distinguishes between ‘agents’ or ‘modeled citizens’ of a high SEC and people from lower SECs. This
categorization in 4 groups is made according to the net income of the household where the individual belongs to. For
each agent belonging to either the highest or the lowest SEC, a one-week diary was sampled. Since the activity-based model does not take seasonal effects into account, a 7-day diary is assumed to be representative for an average
week over the year. The lowest SEC consists of 272,311 adults; the highest SEC of 734,310 agents.