Long-term air pollution exposure may lead to an increase in incidences and mortality rates of chronic diseases and adversely affect human health. The effects of long-term air pollution exposure have not been comprehensively studied due to the lack of human mobility data collected over a long period. Recently, GGHDC completed a study led by Meng Lu, in which a personal mobility model was developed to model long-term hourly air pollution concentrations. This way, personal long-term air pollution exposure for all individuals could be quantified. This model was then implemented assuming mobility patterns for commuters and homemakers, taking separate between weekdays and weekend days into account. The results are published here, and show that NO2 exposure of commuters are on average slightly higher and vary less spatially as they are exposed to NO2 at multiple locations.