The aim of this research is to propose an analysis of the trajectories of cruise passengers at their destination using Dynamic Time Warping algorithm. Datacollected by means of GPS devices relating to the behavior of cruise passengers in the port of Palermo have been analyzed in order to show similarities and differencesamong their spatial trajectories at destination. A cluster analysis has been performed in order to identify segments of cruise passengers, based on the similarity of theirtrajectories. The results have been compared in terms of several metrics derived from GPS tracking data in order to validate the proposed approach. Our findings are ofinterest from a methodological perspective concerning the analysis of GPS data and the management of cruise tourism destinations.
|Title of host publication||Theoretical and Applied Statistics|
|Number of pages||11|
|Publication status||Published - 2019|
All Science Journal Classification (ASJC) codes