TOURIST TRANSITION MODEL AMONG SIGHTSEEING SPOTS BASED ON TRAJECTORY DATA
In recent years, congestion of popular sightseeing spots and public transportation has become problematic in tourist destinations. Local governments have begun to forecast the congestion using a congestion simulation based on a tourist transition model and to adjust the operation of public transportation accordingly. In this study, a method to extract sightseeing spots is proposed and a tourist transition model for sightseeing spots based only on actual tourist trajectory data is constructed. The method has been evaluated using a school trip excursion trajectory dataset obtained from tourists in Kyoto, Japan.
Key words: GPS, trajectory, tourism informatics, data mining
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