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GPS data on tourists: a spatial analysis on road networks

  • Autori: Nicoletta D'Angelo; Antonino Abbruzzo; Mauro Ferrante; Giada Adelfio; Marcello Chiodi
  • Anno di pubblicazione: 2023
  • Tipologia: Articolo in rivista
  • OA Link:


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 are 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 among 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 among cruise passengers in stop location decisions.