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Cruise passengers' behavior at the destination: Investigation using GPS technology

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  • De Cantis, Stefano
  • Ferrante, Mauro
  • Kahani, Alon
  • Shoval, Noam

Abstract

This paper aims at segmenting cruise passengers in order to identify passengers' profiles according to their behavior at destination. Through an integrated use of traditional survey instruments and of GPS technologies, a set of indicators for the analysis of passengers' mobility at destination is proposed. Data collected in the port of Palermo are used in order to investigate space-time activities of cruise passengers at the destination. Monothetic Analysis is used in order to segment passengers according to their behavior at destination, and groups are then compared in terms of socio-demographic characteristics and other variables collected through questionnaire-based survey. Results identify seven different broad patterns of activity, and indicate that several socio-demographic characteristics and other features of passengers seem to be associated with movement patterns at destination. A better knowledge of cruise passengers' behavior at destination is a fundamental pre-requisite in order to better serve visitors' needs and meet their expectations.

Suggested Citation

  • De Cantis, Stefano & Ferrante, Mauro & Kahani, Alon & Shoval, Noam, 2016. "Cruise passengers' behavior at the destination: Investigation using GPS technology," Tourism Management, Elsevier, vol. 52(C), pages 133-150.
    • Handle: RePEc:eee:touman:v:52:y:2016:i:c:p:133-150
    DOI: 10.1016/j.tourman.2015.06.018
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    6. Oddne Skrede & Sigbjorn Landazuri Tveteraas, 2019. "Cruise spillovers to hotels and restaurants," Tourism Economics, , vol. 25(8), pages 1286-1301, December.
    7. Joanna Kizielewicz, 2020. "Typology and Models of Cruise Travellers’ Consumption in Coastal Tourist Destinations," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 679-698.
    8. Stefania Mangano & Gian Marco Ugolini, 2020. "New Opportunities for Cruise Tourism: The Case of Italian Historic Towns," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    9. Yong Gao & Chao Ye & Xiang Zhong & Lun Wu & Yu Liu, 2019. "Extracting Spatial Patterns of Intercity Tourist Movements from Online Travel Blogs," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    10. Rosa-Jiménez, Carlos & Perea-Medina, Beatriz & Andrade, María J. & Nebot, Nuria, 2018. "An examination of the territorial imbalance of the cruising activity in the main Mediterranean port destinations: Effects on sustainable transport," Journal of Transport Geography, Elsevier, vol. 68(C), pages 94-101.
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    14. Antonio Fern�ndez-Morales, 2017. "Tourism Mobility In Time And Seasonality In Tourism," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(2), pages 21-30, April-Jun.
    15. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    16. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    17. Anne Hardy & Sarah Hyslop & Kate Booth & Brady Robards & Jagannath Aryal & Ulrike Gretzel & Richard Eccleston, 2017. "Tracking tourists’ travel with smartphone-based GPS technology: a methodological discussion," Information Technology & Tourism, Springer, vol. 17(3), pages 255-274, September.
    18. Hardy, Anne & Vorobjovas-Pinta, Oscar & Wells, Martha & Grimmer, Louise & Grimmer, Martin, 2022. "Measuring cruise passenger dispersal through technology," Annals of Tourism Research, Elsevier, vol. 93(C).
    19. Qian, Chen & Li, Weifeng & Duan, Zhengyu & Yang, Dongyuan & Ran, Bin, 2021. "Using mobile phone data to determine spatial correlations between tourism facilities," Journal of Transport Geography, Elsevier, vol. 92(C).
    20. Shoval, Noam & Kahani, Alon & De Cantis, Stefano & Ferrante, Mauro, 2020. "Impact of incentives on tourist activity in space-time," Annals of Tourism Research, Elsevier, vol. 80(C).
    21. Nicoletta D’Angelo & Antonino Abbruzzo & Mauro Ferrante & Giada Adelfio & Marcello Chiodi, 2024. "GPS data on tourists: a spatial analysis on road networks," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 477-499, September.
    22. Toger Marina & Östh John & Persson Sabine Gebert, 2023. "What You See is Where You Go: Cruise Tourists’ Spatial Consumption of Destination Amenities," Economic Themes, Sciendo, vol. 61(1), pages 63-84, March.
    23. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    24. Domènech, Antoni & Gutiérrez, Aaron & Anton Clavé, Salvador, 2020. "Built environment and urban cruise tourists' mobility," Annals of Tourism Research, Elsevier, vol. 81(C).
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