Utility of Social Sensing and Human Flow Data for Infrastructure Tourism

Abstract

In this study, in order to analyze the relationship between the reasons for the visiting that are listed in the national survey on natural environment in river and watershore (hereafter, the survey) and the potential tourism trends, we evaluated the tourism trends to the dams by using human flow data and social sensing such as Twitter and Google Trends. As the result, it was found that the reasons for visiting the dams listed in the survey and the activities of dam invitations such as the dam card and dam curry appeared in the Twitter data. In addition, it is shown that the potential reasons for visiting that are not listed in the survey could be evaluated by the evaluation of the characteristics such as the effect of tourism by a popular cartoon, surrounding facilities and the events around the dams with combined analysis of the Twitter and Google Trends.