The present work aims at proposing an analysis of cruise passengers trajectories at the destination through Dynamic Time Warping algorithm. Data collected through GPS devices on cruise passengers’ behavior in the port of Palermo are analyzed in order to show similarities and differences among their spatial trajectories at the destination. A cluster analysis is performed in order to identify cruise passengers’ segments based on trajectories’ similarity. Results are of interest from both a methodological perspective related with the analysis of GPS data, and for the management and planning of cruise tourism destinations.
Ferrante, M., Bongiorno, C., Shoval, N. (2015). Cruise passengers' trajectories at destination. A Dynamic Time Warping approach.. In Proceedings of the SIS 2015 Statistical Conference - Statistics and Demography: the Legacy of Corrado Gini (pp.1-6). Padova : Cleup.
Cruise passengers' trajectories at destination. A Dynamic Time Warping approach.
FERRANTE, Mauro;BONGIORNO, Christian;
2015-01-01
Abstract
The present work aims at proposing an analysis of cruise passengers trajectories at the destination through Dynamic Time Warping algorithm. Data collected through GPS devices on cruise passengers’ behavior in the port of Palermo are analyzed in order to show similarities and differences among their spatial trajectories at the destination. A cluster analysis is performed in order to identify cruise passengers’ segments based on trajectories’ similarity. Results are of interest from both a methodological perspective related with the analysis of GPS data, and for the management and planning of cruise tourism destinations.
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