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GPS data on tourists: a spatial analysis on road networks

Author

Listed:
  • Nicoletta D’Angelo

    (University of Palermo)

  • Antonino Abbruzzo

    (University of Palermo)

  • Mauro Ferrante

    (University of Palermo)

  • Giada Adelfio

    (University of Palermo)

  • Marcello Chiodi

    (University of Palermo)

Abstract

This paper proposes a spatial point process model on a linear network to analyse cruise passengers’ stop activities. It identifies and models tourists’ stop intensity at the destination as a function of their main determinants. For this purpose, we consider data collected on cruise passengers through the integration of traditional questionnaire-based survey methods and GPS tracking data in two cities, namely Palermo (Italy) and Dubrovnik (Croatia). Firstly, the density-based spatial clustering of applications with noise algorithm is applied to identify stop locations from GPS tracking data. The influence of individual-related variables and itinerary-related characteristics is considered within a framework of a Gibbs point process model. The proposed model describes spatial stop intensity at the destination, accounting for the geometry of the underlying road network, individual-related variables, contextual-level information, and the spatial interaction amongst stop points. The analysis succeeds in quantifying the influence of both individual-related variables and trip-related characteristics on stop intensity. An interaction parameter allows for measuring the degree of dependence amongst cruise passengers in stop location decisions.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:alstar:v:108:y:2024:i:3:d:10.1007_s10182-023-00484-w
    DOI: 10.1007/s10182-023-00484-w
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    References listed on IDEAS

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