Adaptive Modeling of Urban Dynamics During Ephemeral Event via Mobile Phone Traces

International audienceThe communication devices have produced digital traces for their users either voluntarily or not. This typeof collective data can give powerful indications that are affecting the urban systems design anddevelopment. In this study mobile phone data during Armada event is investigated. Analyzing mobilephone traces gives conceptual views about individuals densities and their mobility patterns in the urbancity. The geo-visualization and statistical techniques have been used for understanding human mobilitycollectively and individually. The undertaken substantial parameters are inter-event times, travel distances(displacements) and radius of gyration. They have been analyzed and simulated using computing platformby integrating various applications for huge database management, visualization, analysis, andsimulation. Accordingly, the general population pattern law has been extracted. The study contributionoutcomes have revealed both the individuals densities in static perspective and individuals mobility indynamic perspective with multi levels of abstraction (macroscopic, mesoscopic, microscopic)