Abstract
From the trend of the increase in the number of tourists in Hokkaido in recent years, it considered that the importance of understanding the behavior of tourists by a particularly simple method is high. Therefore, in this research, necessary data were analyzed for each spot from the data collected by ‘Asahikawa Furano wide area Wi-Fi survey’ and the usefulness of the acquired data shown. Next, an analysis of the outgoing pattern between each spot and examined characteristics of tourists’ round trip. The methodology of sequence pattern mining analysis used as a big data analysis in the marketing field studied. Also, investigations conducted in consideration of visiting permutation among spots. As a result, the visit permuta-tion pattern detected and the three indicators are considered, and tourism measures proposed. Then, the usefulness of the Wi-Fi packet sensors and sequence pattern mining in grasping the large-scale rounda-bout behavior pattern represented.
