본 연구는 자연휴양림 유형별 적정입지선정 평가모형을 개발하고, 그 모형을 자연휴양림 예정지에 적용하여 활용 가능성을 모색하고자 하였다. 이를 위해 델파이 전문가 설문조사와 계층화분석법(AHP)을 이용한 평가준거의 선정, 자연휴양림 유형화 및 유형별 적정입지선정 평가모형 개발, 모형적용 단계의 순으로 연구를 수행하였다. 먼저, 자연휴양림 유형화 및 적정입지선정을 위한 평가준거(Criteria)를 구안하고, 2차에 걸친 델파이조사에 의한 타당화 과정을 거쳐 2개 평가영역(Categories) - 6개 평가항목(Items) - 12개 평가지표(Indicators)의 위계를 가진 평가준거를 선정하였다. 제3차 델파이조사에서는 계층화분석과정(AHP)을 통하여 자연휴양림 유형화를 위한 평가준거의 가중치를 산정하고, 2개의 평가영역(자원성과 이용성)을 중첩하여 자연휴양림을 4개의 유형으로 구분할 것을 제안하였다. 이어 제4차 델파이조사의 계층화분석과정(AHP)을 거쳐 산정한 유형별 평가준거의 가중치를 활용하여 자연휴양림 유형별 적정입지선정 평가모형을 개발하고 자연휴양림 입지예정지에 적용하였다. 적용 결과 휴양림 이용성은 수도권과의 거리에 의해 가장 크게 영향을 받으며, 휴양림의 입지가 수도권에서 가까울수록 유리하다는 것을 확인하였다. 본 연구는 유형별로 자연휴양림을 지정할 때 활용될 수 있을 것이다.
This study has intended to develop an evaluation model to select suitable locations of recreation forests in accordance with their types, and to apply the models to the feasibility study of selecting suitable recreation forest locations of candidate sites. To reach this goal, this study employed a Delphi expert survey method and Analytic Hierarchy Process (AHP) for the whole process of model building. And the followings are what this study has found during model building and application process. First, the assessment criteria for classifying recreation forests and selecting suitable locations were initially identified through justification process with two rounds of expert review, after broken down into 2 categories, and then further divided into 6 items and 12 indicators accompanying with hierarchical structure. Second, in the third phase of Delphi expert survey, the relative weights of the assessment criteria were derived by employing AHP. Through overlaying two evaluation categories including resource and usability, 4 types of recreation forest were presented. In the forth phase of the Delphi survey, this study has developed an evaluation model to select suitable locations of recreation forests in accordance with their types using relative weights of the selected indicators through. This study has applied the models to the feasibility study of selecting suitable recreation forest locations of candidate sites, and found that the usability of recreation forest was severely affected by the distance from the capital region, that the closer the locations of natural recreation forests from the capital region, the more advantageous. The developed model can be used to designate recreation forests in accordance with their types.
