2019 Volume 31 Issue 6 Pages 876-886
Understanding the actual condition of tourist’ travel behavior is important for mitigating tourist congestion and marketing purposes. Typical travel survey methods have practical difficulties (e.g. necessity of staying at a certain period of investigation) for fully uncovering tourists’ travel behavior. In this study, we extracted unique identifiers of Wi-Fi packets which presumably be from tourists in Okinawa Main Island by focusing on the entrance information about the entry into the islands (e.g. cruise ship terminal users, domestic air terminal users, international air terminal users and, low-cost career terminal users). After appropriately conducting the data cleaning, we analyzed tourists’ travel behavior mainly in terms of travel flow patterns across different entry points into the island. Through the data analysis, it became clear that tourist’ travel behavior is significantly different by means of transportation into Okinawa Main Island. Furthermore, we have confirmed the possibility of fusing Wi-Fi based tourist excursion data and probe-based vehicle trajectory data that can reveal the whole travel patterns of each tourist, though its matching rate is not enough large at present.
