Similarity of GPS trajectories using dynamic time warping: an application to cruise tourism

Mauro Ferrante; Christian Bongiorno; Noam Shoval

doi:10.1007/978-3-030-05420-5_10

Similarity of GPS trajectories using dynamic time warping: an application to cruise tourism

Mauro Ferrante^*, Christian Bongiorno, Noam Shoval

^*Corresponding author for this work

Department of Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Theoretical and Applied Statistics - In Honour of Corrado Gini - SIS 2015
Editors	Corrado Crocetta
Publisher	Springer New York LLC
Pages	91-101
Number of pages	11
ISBN (Print)	9783030054199
DOIs	https://doi.org/10.1007/978-3-030-05420-5_10
State	Published - 2019
Event	Conference of the Italian Statistical Society: Statistics and Demography - the Legacy of Corrado Gini, SIS 2015 - Treviso, Italy Duration: 9 Sep 2015 → 11 Sep 2015

Publication series

Name	Springer Proceedings in Mathematics and Statistics
Volume	274
ISSN (Print)	2194-1009
ISSN (Electronic)	2194-1017

Conference

Conference	Conference of the Italian Statistical Society: Statistics and Demography - the Legacy of Corrado Gini, SIS 2015
Country/Territory	Italy
City	Treviso
Period	9/09/15 → 11/09/15

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

Cruise tourism
Dynamic time warping
GPS trajectories

Access to Document

10.1007/978-3-030-05420-5_10

Cite this

Ferrante, M., Bongiorno, C., & Shoval, N. (2019). Similarity of GPS trajectories using dynamic time warping: an application to cruise tourism. In C. Crocetta (Ed.), Theoretical and Applied Statistics - In Honour of Corrado Gini - SIS 2015 (pp. 91-101). (Springer Proceedings in Mathematics and Statistics; Vol. 274). Springer New York LLC. https://doi.org/10.1007/978-3-030-05420-5_10

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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. 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.",

keywords = "Cruise tourism, Dynamic time warping, GPS trajectories",

author = "Mauro Ferrante and Christian Bongiorno and Noam Shoval",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; Conference of the Italian Statistical Society: Statistics and Demography - the Legacy of Corrado Gini, SIS 2015 ; Conference date: 09-09-2015 Through 11-09-2015",

year = "2019",

doi = "10.1007/978-3-030-05420-5_10",

language = "אנגלית",

isbn = "9783030054199",

series = "Springer Proceedings in Mathematics and Statistics",

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Ferrante, M, Bongiorno, C & Shoval, N 2019, Similarity of GPS trajectories using dynamic time warping: an application to cruise tourism. in C Crocetta (ed.), Theoretical and Applied Statistics - In Honour of Corrado Gini - SIS 2015. Springer Proceedings in Mathematics and Statistics, vol. 274, Springer New York LLC, pp. 91-101, Conference of the Italian Statistical Society: Statistics and Demography - the Legacy of Corrado Gini, SIS 2015, Treviso, Italy, 9/09/15. https://doi.org/10.1007/978-3-030-05420-5_10

Similarity of GPS trajectories using dynamic time warping: an application to cruise tourism. / Ferrante, Mauro; Bongiorno, Christian; Shoval, Noam.
Theoretical and Applied Statistics - In Honour of Corrado Gini - SIS 2015. ed. / Corrado Crocetta. Springer New York LLC, 2019. p. 91-101 (Springer Proceedings in Mathematics and Statistics; Vol. 274).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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. 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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Similarity of GPS trajectories using dynamic time warping: an application to cruise tourism

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