Data fusion for the analysis of air travel behavior: Application to Palma de Mallorca Airport

The European transport policy envisages a multimodal, passenger-centric transport system that allows travelers to reach their destination by the most efficient and sustainable combination of modes. Achieving this vision calls for an in-depth understanding of air passengers’ door-to-door travel behavior. This article presents a set of data analysis and fusion methodologies for the door-to-gate and gate-to-door reconstruction of the passenger journey through a coherent combination of anonymized mobile network data with a wide range of heterogeneous data sources. The proposed approach is demonstrated and evaluated through a case study conducted in the Palma de Mallorca International airport.