Cities are currently characterized by the presence of different populations: inhabitants, commuters, city users, tourists, and metropolitan businessmen, competing in the processes of accessing, controlling, and using resources and services. Local communities are no longer stable and closed entities but interact constantly with different populations coming from different places. Therefore, in order to study quality of life, problems and opportunities in the communities must be analyzed considering the daily flows of people using resources and services located in the city. The article has four main goals: 1) to point out the presence of different populations living, working and consuming in the city; 2) to underline a set of conflicts related to the spatial concentration of resident and non-resident populations; 3) to propose an analytical model able to combine different levels of data in relation to different populations in order to study the quality of life in a community; and 4) to focus on time policies as innovative instruments for managing urban complexity using mobility data.