6533b85efe1ef96bd12bfdcd

RESEARCH PRODUCT

Similarity of GPS Trajectories Using Dynamic Time Warping: An Application to Cruise Tourism

Mauro FerranteNoam ShovalNoam ShovalChristian Bongiorno

subject

Dynamic time warpingbusiness.industryComputer scienceCruisePerspective (graphical)ComputerApplications_COMPUTERSINOTHERSYSTEMScomputer.software_genrePort (computer networking)Similarity (network science)Cruise tourism · Dynamic time warping · GPS trajectoriesGlobal Positioning SystemTracking dataData miningSettore SECS-S/05 - Statistica SocialebusinesscomputerTourism

description

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.

yearjournalcountryeditionlanguage
2019-01-01
10.1007/978-3-030-05420-5_10http://hdl.handle.net/10447/345002