The aim of this research is to propose an analysis of the trajectories of cruise passengers at their destination using Dynamic Time Warping algorithm. Data collected 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 differences among their spatial trajectories at destination. A cluster analysis has been performed in order to identify segments of cruise passengers, based on the similarity of their trajectories. 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 of interest from a methodological perspective concerning the analysis of GPS data and the management of cruise tourism destinations.
Ferrante Mauro, Christian Bongiorno, Noam Shoval (2019). Similarity of GPS Trajectories Using Dynamic Time Warping: An Application to Cruise Tourism. In C. Crocetta (a cura di), Theoretical and Applied Statistics (pp. 91-101). Springer [10.1007/978-3-030-05420-5_10].
Similarity of GPS Trajectories Using Dynamic Time Warping: An Application to Cruise Tourism
Ferrante Mauro
;Christian Bongiorno;
2019-01-01
Abstract
The aim of this research is to propose an analysis of the trajectories of cruise passengers at their destination using Dynamic Time Warping algorithm. Data collected 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 differences among their spatial trajectories at destination. A cluster analysis has been performed in order to identify segments of cruise passengers, based on the similarity of their trajectories. 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 of interest from a methodological perspective concerning the analysis of GPS data and the management of cruise tourism destinations.
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