Authors:
Pedro Silva
;
Catarina Maçãs
;
João Correia
;
Penousal Machado
and
Evgheni Polisciuc
Affiliation:
CISUC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal
Keyword(s):
Urban Mobility, Flow Visualization, Visual Analytics, Spatio-temporal Data, Information Visualization.
Abstract:
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.