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

Risultato della ricerca: Chapter

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. 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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteTheoretical and Applied Statistics
Pagine91-101
Numero di pagine11
Stato di pubblicazionePublished - 2019

Fingerprint

Dynamic Time Warping
Tourism
Trajectory
Cluster Analysis
Metric
Similarity

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cita questo

Similarity of GPS Trajectories Using Dynamic Time Warping: An Application to Cruise Tourism. / Bongiorno, Christian; Ferrante, Mauro; Shoval, Noam.

Theoretical and Applied Statistics. 2019. pag. 91-101.

Risultato della ricerca: Chapter

@inbook{8e95f38ff7d64c3ca1640357d53d3403,
title = "Similarity of GPS Trajectories Using Dynamic Time Warping: An Application to Cruise Tourism",
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. 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.",
author = "Christian Bongiorno and Mauro Ferrante and Noam Shoval",
year = "2019",
language = "English",
isbn = "978-3-030-05419-9",
pages = "91--101",
booktitle = "Theoretical and Applied Statistics",

}

TY - CHAP

T1 - Similarity of GPS Trajectories Using Dynamic Time Warping: An Application to Cruise Tourism

AU - Bongiorno, Christian

AU - Ferrante, Mauro

AU - Shoval, Noam

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/345002

M3 - Chapter

SN - 978-3-030-05419-9

SP - 91

EP - 101

BT - Theoretical and Applied Statistics

ER -