抄録
In recent years, the number of foreign tourists visiting Japan has increased
due to the deregulation of COVID-19. The Japanese government is encouraging foreign
tourists to visit non-urban areas. Therefore, Kagawa Prefecture, one of the non-urban
areas in Japan, needs to take measures the tourism promotion to attract foreign tourists.
There are many related studies on the analysis of tourist behavior for effective tourism
promotion. However, previous studies did not analyze the relationship between tourism
behavior and tourists' emotions. In this study, we aim to clarify the behavioral and emotional
characteristics of foreign tourists visiting Kagawa Prefecture by extracting their
behavioral and emotional patterns. In the experiments, a questionnaire survey was conducted
at Takamatsu Airport in Kagawa Prefecture to collect data on the behavior and
emotions of foreign tourists. We use EMMA, a method of frequent episode mining to
extract patterns of behavior and emotion of tourists by using collected data. The results
revealed a relationship between the behaviors and emotions, such as the positive and
negative emotions of tourists about transportation, foods and locations in Kagawa Prefecture.