The article uses passive mobile data to analyse the complex mobilities that occur in a coastal
region characterised by seasonal patterns of tourism activity. A large volume of data generated by
mobile phone users has been selected and processed to subsequently display the information in the
form of visualisations that are useful for transport and tourism research, policy, and practice. More
specifically, the analysis consisted of four steps: (1) a dataset containing records for four days—two
on summer days and two in winter—was selected, (2) these were aggregated spatially, temporally,
and differentiating trips by local residents, national tourists, and international tourists, (3) origindestination matrices were built, and (4) graph-based visualisations were created to provide evidence
on the nature of the mobilities affecting the study area. The results of our work provide new evidence
of how the analysis of passive mobile data can be useful to study the effects of tourism seasonality in
local mobility patterns
