Spatiotemporal Mobility Patterns of Thessaloniki, Greece, from Mobile Network-Derived Data

This poster presents an in-depth analysis of the spatiotemporal mobility patterns within the city of Thessaloniki, derived from comprehensive mobile network data. By examining complex spatial and temporal datasets, the research uncovers key urban mobility dynamics, providing essential insights to support sustainable city planning, transport innovation, and data-driven policymaking.

The analytical work showcased in this poster was conducted entirely within the secure environment of the RAISE platform. To guarantee full traceability and reproducibility in strict adherence to open science principles, all associated data and processing workflows have been registered using persistent identifiers.

Crucially, this research serves as a practical demonstration of the RAISE Suite project's capabilities. The analysis directly contributes to the federated cross-pilot workflow inherited from the foundational RAISE Project. This workflow functions as the technological backbone underpinning the RAISE Suite’s FAIR-by-design research infrastructure, showcasing how advanced mobility analytics can be seamlessly integrated into a federated open-science framework.

This poster was originally presented by the Hellenic Institute of Transport (CERTH) at the Mobile Tartu 2026 conference, hosted at the Tartu University Oecologicum in Tartu, Estonia, on June 8-10, 2026.