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

Pedro Silva, Catarina Maçãs, João Correia, Penousal Machado, Evgheni Polisciuc

2022

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.

Paper Citation

in Harvard Style

Silva P., Maçãs C., Correia J., Machado P. and Polisciuc E. (2022). ANTENNA: A Tool for Visual Analysis of Urban Mobility based on Cell Phone Data. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 3: IVAPP; ISBN 978-989-758-555-5, SciTePress, pages 88-100. DOI: 10.5220/0010902200003124

in Bibtex Style

@conference{ivapp22,
author={Pedro Silva and Catarina Maçãs and João Correia and Penousal Machado and Evgheni Polisciuc},
title={ANTENNA: A Tool for Visual Analysis of Urban Mobility based on Cell Phone Data},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 3: IVAPP},
year={2022},
pages={88-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010902200003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 3: IVAPP
TI - ANTENNA: A Tool for Visual Analysis of Urban Mobility based on Cell Phone Data
SN - 978-989-758-555-5
AU - Silva P.
AU - Maçãs C.
AU - Correia J.
AU - Machado P.
AU - Polisciuc E.
PY - 2022
SP - 88
EP - 100
DO - 10.5220/0010902200003124
PB - SciTePress