Identifier un effet croisière en Normandie via les données de téléphonie mobile

Twenty years after the first explorations of mobile phone datasets, this article looks at the potential and limitations of geolocalised individual data from mobile phone datasets in order to capture the behavior of a population of cruise tourists stopping over in Normandy. We present here a new methodological protocol adapted to changes in the spatial and temporal resolutions of mobile phone data sets provided by the Flux-Vision Operator Orange, following the implementation of the General Data Protection Regulation (2018, European Union). Using anonymized mobile phone datasets, our method reveals spatiotemporal clusters of visitors, identifying a target population of cruise passengers, as well as their movements during their stopover in Normandy. We have also observed a cruise effect on the most attractive areas visited by this category of tourists, through preferential flows and the main durations of the majority of visits to the region over a 24-hour period. There is still some uncertainty as to the precise identification of the heritage and tourist sites visited in each of the major tourist areas identified. This uncertainty means that we need to cross-reference tourist data with mobile phone datasets (ticket offices, overnight stays, websites, booking platforms, social networks, etc.).