ANTENNA: A Tool for Visual Analysis of Urban Mobility based on Cell Phone Data

Nowadays, the collection of data from ubiquitous urban sensors, such as smartphones, can be used to analyse, understand, and profile urban mobility. This analysis requires dynamic, autonomous, and effective ways to parse, reduce and retrieve mobility patterns from large heterogeneous datasets. In this design study, we present ANTENNA, a visual analysis tool that allows the identification and analysis of urban mobility patterns based on mobile cell phone data. In particular, we present a visualization that is prepared for multiple scenarios of analysis, providing specific visualization approaches for different sets of tasks. We developed diverse visualization models to characterise inter- and intra-urban mobility. To validate ANTENNA, we conducted user tests with experts of different domains. The results suggest the appropriateness and usefulness of ANTENNA for each of the presented usage scenarios.