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<p>This paper presents the first version of the regional-scale personal exposure model EXPLUME (EXposure to atmospheric PolLUtion ModEling). The model uses simulated gridded data of outdoor <span class="inline-formula">O₃</span> and PM<span class="inline-formula">_2.5</span> 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 exposure. The model is applied over the greater Paris region at <span class="inline-formula">2 km×2 km</span> resolution for the entire year of 2017. Annual averaged population exposure is discussed. We show that population mobility within the region, disregarding pollutant concentrations indoors, has only a small effect on average daily exposure. By contrast, considering the infiltration of PM<span class="inline-formula">_2.5</span> in buildings decreases annual average exposure by 11&thinsp;% (population average). Moreover, accounting for PM<span class="inline-formula">_2.5</span> exposure during transportation (in vehicle, while waiting on subway platforms, and while crossing on-road tunnels) increases average population exposure by 5&thinsp;%. We show that the spatial distribution of PM<span class="inline-formula">_2.5</span> and <span class="inline-formula">O₃</span> exposure 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<span class="inline-formula">_2.5</span> exposure as a function of the transportation mode, especially for the upper percentiles of the distribution. Overall, 20&thinsp;% of the population using bicycles or motorcycles is exposed to annual average PM<span class="inline-formula">_2.5</span> concentrations above the EU target value (25&thinsp;<span class="inline-formula">µg m⁻³</span>), compared to 0&thinsp;% 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 exposure. We show that exposure to ozone will decrease by as much as 14&thinsp;% as a result of this projection, whereas there is no significant impact on exposure to PM<span class="inline-formula">_2.5</span>.</p>