Research Article
Treemob: Expressive Mobility Data Representation Through Tree-Based Structures
@INPROCEEDINGS{10.1007/978-3-031-86370-7_4, author={Marta Fioravanti and Eleonora Cappuccio and Salvatore Rinzivillo and Riccardo Guidotti}, title={Treemob: Expressive Mobility Data Representation Through Tree-Based Structures}, proceedings={Intelligent Transport Systems. 8th International Conference, INTSYS 2024, Pisa, Italy, December 5--6, 2024, Revised Selected Papers}, proceedings_a={INTSYS}, year={2025}, month={4}, keywords={Mobility Data Analysis Individual Mobility Network Spatio-temporal data visualization}, doi={10.1007/978-3-031-86370-7_4} }- Marta Fioravanti
Eleonora Cappuccio
Salvatore Rinzivillo
Riccardo Guidotti
Year: 2025
Treemob: Expressive Mobility Data Representation Through Tree-Based Structures
INTSYS
Springer
DOI: 10.1007/978-3-031-86370-7_4
Abstract
This paper explores expressive representations of personal mobility data, focusing on both informational and user-centered design aspects. The goal is to enable users to access, understand, and gain awareness of their mobility behaviours, assuming that expressiveness is not inherently linked to system complexity. We propose a novel methodology for representing and analyzing mobility data using tree-shaped structures. Additionally, we introduce Treemob, a suite of Python-based tools designed to facilitate mobility analysis. The experiments conducted provide a foundation for further research, offering a flexible framework for exploiting different issues and contexts.
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