Although the frequency of use for community facilities in rural villages is growing as well as the importance of the facilities for urban-rural exchange is being highlighted, study on spatial location-analysis of the facilities for such multi-purpose is not so much. This study aims to find the spatial distribution forms of community facilities in rural villages such as community center and rural-pocket park through location-analysis, in order to provide available data for selecting location in the future. As the study area, Sojeong-myeon, Sejong Special City was selected. This study conducted GIS analysis for criteria of the location-evaluation model developed in this study. This study introduced the concept of time-distance for accessibility analysis. This paper also used linear-consecutive scoring method(LCSM) as a scoring method of criteria and Analytic Hierarchy Process(AHP) method for weighting values of criteria. The application results showed that the new model can generate the intensity of community facilities according to spatial distribution and accessibility from cities to the facilities.

IMO에서는 2003년 12월 제23차 총회에서 ‘Guidelines on places of refuge for ships in need of assistance’를 총회 결의서 Res. A.949(23)으로 채택하여, IMO 협약국에 선박 피난처를 지정할 것을 권고하고 있다. 선박 피난처란 ‘원조를 필요로 하는 선박이 선박을 정상 상태로 복원하고 항해의 위험을 줄이고 인명이나 환경을 보호하기 위한 장소’라고 IMO에서는 정의하고 있다. 선박 피난처를 지정·운영하는 것은 자국의 연안 환경을 보호하기 위한 국가 정책과 밀접한 관련이 있어, 국가적으로 아주 예민한 문제이다. 그러나 선박 피난처를 지정·운 영하는 것은 해양 사고로 인한 2차적 피해의 확산을 방지하여, 환경적·재산적 손실을 최소화 할 수 있다. 현재 외국의 여러 국가에서는 선박 피난처를 지정·운영하고 있다. 그러나 국가별로 선박 피난처 입지 선정 방법·기준이 달랐으며 표준화된 선박 피난처 입지 선정 모델은 없었 다. 따라서 본 연구에서는 향후 국내 선박 피난처 제도의 도입 시 합리적이고 효율적인 선박 피난처 입지를 선정하기 위하여, 외국의 선박 피 난처 입지 선정 시 고려되었던 요소들을 검토·분석 하였으며, 이러한 고려 요소들의 정성적인 자료를 정량적인 수치로 표현하여 객관적인 지 표에 따른 선박 피난처 입지 지정 모델을 제시하고자 한다. 선박 피난처 입지 지정 모델은 선박 해양 개연성 평가, 입지 분석, 지원 시설의 접 근성 평가 과정을 통하여 최종 선박 피난처 입지를 제시하였다.

It is necessary to evaluate the location suitability for protected horticulture to plan new protected horticultural facilities in rural areas. For objective and systematic evaluation of location suitability for protected horticulture, three different evaluation models were constructed based on grading, proportion, and analytic hierarchy process(AHP). The three methods were tested to evaluate the location suitability for protected horticulture in three selected regions; suburban, plain, mountainous. The results indicated that the grading method underestimated the difference of importance among grouping categories, compared to the proportion and AHP methods. Based on the results, the AHP method was founded to be better than the other two methods in terms of evaluation process, reproductivity and reliability of the results.

For efficient development of rural facilities, choice of their optimum locations would be an important issue, however, existing research works concentrated much more an allocation policy of urban industrial complex and public facilities than rural ones. In this study, because agricultural-cum-industrial complex has been the most widely developed representative one of rural facilities, it was selected as a case study facility. As a pre-study to system development, existing governmental location-decision system was checked and interviewing survey carried out to find out on-spot problems. And, being based on literature review and survey analysis results, 4-step optimum locational decision model was developed , formulation of locational goal system, ranking tabulation on components, determination of significance values of components, calculation of component scores. Finally, through the case study works on 3 sites, system applicability was checked, Considering together the simplicity problem of existing guidelines and the interviewing survey results favoring the diversified viewpoints, it would be necessary to develop multifaceted support system for locational decision making. 3-tier classification steps from the higher, middle to lower one were used and their underpinning viewpoints were sorted as on regional development, entrepreneurship, spatial rationality, from which a tentative locational goal system was formulated. Through the expert group checking, final locational goal system was determined having 3 of the higher classification items, 7 of the middle ones, 23 of the lower ogles. For ranking tabulation, 3 types of ranking criteria were arranged which were based on statistical analysis using mean and standard deviation(Type I ), its existence or not 1 good or not(Type E ), and the others(Type E ). From the significance evaluation results, regional development and entrepreneurship aspects were valued much higher than spatial rationality aspect. And, in the middle step, items as spread effects of regional economy, accessibility and social potentialities were highly valued while infrastructural development level and natural condition being low. The application results of the system to 3 case study total. However, the detailed ones differed among study the influencing effects on regional economy, and contrast greater the infrastructural development level. Conclusively, final evaluation values well represented the characteristics of each area. If this system be complemented and applied comprehensively by the successive studies, it would be developed to a general model of locational decision supporting system for rural facilities.