TENERIFE-TRANSIT: A Functional Transportation Network Dataset for Community Detection and Operational Disruption Analysis Derived from Large-Scale AVL Data

TENERIFE-TRANSIT is a processed transportation network dataset derived from large-scale Automatic Vehicle Location (AVL) observations collected from the TITSA public bus network operating on the island of Tenerife (Canary Islands, Spain). The dataset supports research on functional transportation network modeling, community detection, transportation resilience, operational disruption analysis, and network science applications in public transport systems. It includes functional and geographic network representations, community assignments, route distributions, operational profiles, anomaly indicators, sensitivity analyses, and geospatial datasets for visualization and mapping. The dataset was developed to support the analyses reported in the associated publication on functional transportation networks and operational disruption characterization. All processed data required to reproduce the published results are provided, together with interactive visualizations that allow users to explore network structures, community organization, operational behavior, and disruption hotspots. Applications include transportation analytics, mobility modeling, graph learning, urban computing, anomaly detection, public transport planning, and resilience assessment.