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