International audienceIn this work we address the issue of sustainable cities by focusing on one of their verycentral components: daily mobility. Indeed, if cities can be interpreted as spatial organizationsallowing social interactions, the number of daily movements needed to reach this goal iscontinuously increasing. Therefore, improving urban accessibility merely results in increasingtraffic and its negative externalities (congestion, accidents, pollution, noise, etc.), while eventuallyreducing the quality of life of people in the city. This is why several urban-transport policies areimplemented in order to reduce individual mobility impacts while maintaining equitable access tothe city. This challenge is however non-trivial and therefore we propose to investigate this issuefrom the complex systems point of view. The real spatial-temporal urban accessibility of citizenscannot be approximated just by focusing on space and implies taking into account the space-timeactivity patterns of individuals, in a more dynamic way. Thus, given the importance of localinteractions in such a perspective, an agent based approach seems to be a relevant solution. Thiskind of individual based and “interactionist” approach allows us to explore the possible impactof individual behaviors on the overall dynamics of the city but also the possible impact of globalmeasures on individual behaviors. In this paper, we give an overview of the Miro Project andthen focus on the GaMiroD model design from real data analysis to model exploration tunedby transportation-oriented scenarios. Among them, we start with the the impact of a LEZ (LowEmission Zone) in the city center