지역관광수요에 대응한 관광자원정보서비스융합모형 연구

The Study of Convergence Model of Tourism Resources Information Service Responding for Regional Tourist Demand: Focused on Data-mining and Situation Evaluation Methodology

This study attempts to determine the theory of convergence model of tourism information service. To solve the structural problem, it is fulfilled that the data-mining methodology and the local tourism demand variables, and then tourism destination evaluation elements are identified. This study is set up on the base of the theory which is for the difference among the local tourism information environment variables on tourist destination selection and which is for the effects evaluation influencing tourist destination evaluation elements to the effects variables of digital convergence system. Accordingly, tourist information convergence theories were applied by digital data-mining and situation evaluation methodology. Resultingly, this study performed the qualitative study and model study in order to test the theory. Additionally, scientific reference data was collected. The outcome of the research indicates that it is expected to be a useful data for the tourism information service policy responding for regional tourist demands.