Crisis management can be seen as the process of implementing practices to prevent and manage man-made and natural disasters. It also aims to mitigate their negative consequences that could affect the performance, reputation and normal operation of the affected system and its associated critical infrastructure. Transportation represents one of such infrastructures whose protection and management during normal and crisis situations is essential for the safety of the society. Based on this, an approach is proposed that focuses on the analysis of citizens’ behaviour to support crisis management using traffic data. In particular, it allows the selection, monitoring and analysis of arbitrary regions of interest. The simulated scenario, which focuses on a time-based estimation of the number of people affected within specific regions, is illustrated using traffic data from the German city of Darmstadt.