<p>This paper presents the first version of the regional scale personal exposure model EXPLUME. The model uses simulated gridded data of outdoor O<sub>3</sub> and PM<sub>2.5</sub> concentrations and several population and building-related datasets to simulate 1) space-time activity event sequences, 2) the infiltration of atmospheric contaminants indoors and 3) daily aggregated personal exposures. The model is applied over the greater Paris region at 2 km x 2 km resolution for the entire 2017 year. Annual averaged population exposures are discussed. We show that population mobility within the region, disregarding pollutant concentrations indoors, has only a small effect on average daily exposures. By contrast, considering the infiltration of PM<sub>2.5</sub> in buildings decreases annual average exposure by 11 % (population average). Moreover, accounting for PM<sub>2.5</sub> exposure during transportation (in-vehicle, while waiting on subway platforms, and while crossing on-road tunnels) increases average population exposure by 5 %. We show that the spatial distribution of PM<sub>2.5</sub> and O<sub>3</sub> exposures is similar to the concentration maps over the region, but the exposure scale is very different when accounting for indoor exposure. We model large intra-population variability in PM<sub>2.5</sub> exposure as a function of the transportation mode, especially for the upper percentiles of the distribution. 20 % of the population using bicycles or motorcycles is exposed to annual average PM<sub>2.5</sub> concentrations above the EU target value (25 µg/m<sup>3</sup>), compared to 0 % for people travelling by car. Finally, we develop a 2050–horizon projection of the building stock to study how changes in the buildings' characteristics to comply with the thermal regulations will affect personal exposures. We show that exposure to ozone will decrease by as much as 14 % as a result of this projection, whereas there is no significant impact on exposure to PM<sub>2.5</sub>.</p>