Application of Decision Tree Analysis for Supporting Tourism Policy Decision Making : Empirical Analysis of Tourism Development Policy Priorities

Park Kyung Yeol; Lee Hyun-Ju

doi:10.17086/JTS.2019.43.5.11.28

Tourism policy decision making is a series of processes to select the best policy alternatives by comparing and evaluating policy alternatives. The processes are complicated and it is not easy to explain and make them understood easily. Tourism policy decisions appear as priorities of policy alternatives, and various judgment criteria act compositely in the prioritization. This study empirically applied decision tree analysis as one of methods to support tourism policy decision making and presented the usefulness. To this end, decision tree analysis in the prioritization of tourism development policy was empirically analyzed. First, decision tree analysis is useful for understanding the processes and results of tourism policy decision making as it structurally presents and schematizes the processes and results. Second, decision tree analysis facilitates the understanding of major variables that affect the priorities of tourism policies and quantifies the results so that the degrees of effects can be identified. Third, it enables the comparison between observed values and predicted values in the prioritization in tourism policy decision making so that the results can be used as useful data in decision making if variables that facilitate comparison and judgment are clearly identified.

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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