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GPS data on tourists: a spatial analysis on road networks

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AStA Advances in Statistical Analysis

https://doi.org/10.1007/S10182-023-00484-W
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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 analy...

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Related topics

  • Engineering
  • Aerospace Engineering
  • Geography
  • Mathematics
  • Computer Science
  • Artificial Intelligence
  • Econometrics
  • Statistics
  • Remote Sensing
  • Spatial Analysis
  • Transport Engineering

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