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.

The composition of rural Green Village requires higher utilization of renewable energy in those selected rural villages. The purpose of this study is to select the best results of rural green villages when using photovoltaic power system(PV system). 10 different rural villages in Chubumyeon, Keumsan, Chungnam province, were selected as study villages. This study shows measured solar radiation data, a 20-year time series data, and GIS spatial analysis; and whose were used to predict the photovoltaic power generation. PV system is used as a form with capacity of 3kWp to use for personal and public houses. Generation data was calculated by the town, where the economics of the Green Village location analysis was performed; and the solar radiation's correction factor was calculated by the 20-year time series data and measured data by study villages. By applying to the data of DEM, slope and aspect of the study villages were found, therefore performed. Spatial analysis tools were performed by using solar radiation map's tools. Those data found were used to calculate the average needed energy every months. When used the properly calculated data, towns performed economical energy consumption in rural Green Village. Every study villages have showed very high potential for PV system. Sungdangri ranked at the first (7,401kWp/year), Jangdaeri follows behind to the second (7,203kWp/year) and Yogwangri at third (7,89kWp/year) which shows higher developed energy than other study villages. The areas covered of these three towns are as follows: Sungdangri at 33,300㎡, Jangdaeri covers 18,000㎡ and Yogwangri shows 46,800㎡. With these results, analyzing the potentials using GIS spatial analysis before installation of PV system was possible. Also different villages and topography in study villages have showed various results by the area. For convenience and to shorten research time, it is possible and enough to use solar radiation tools when studying spatial analysis of solar radiation.

In this study, it propose what the landscape elements is to be improved urgently and how to improve landscape by reflecting the rural village characteristics away from the spatial integrated landscape planning. The study area for landscape research is selected as the 9 rural villages in Chungcheongbuk-do, and research is done by using village unit landscape diagnostic index(VULDI). the result is shown that average VULDI value of the rural village zones is bigger than one of the town village zones with difference of 15%. Two zones of Chilseong-myeon and Sangchon-myeon among the town village zones are appeared to be similar with the rural village zones in landscape level by VULDI value. Generally, the rural villages to maintain the good landscape have the low population and high engagement rate in agriculture. Looking political support criteria at the landscape level, the seven zones except Deoksan-myeon and Maengdong-myeon have high VULDI value more than 60%, which means that it seems unnecessary to support political landscape improvement. However, when it is divided into two parts of the village inside landscape and the surrounding landscape, 8 rural village zones except one zone of Sangchon-myeon have low VULDI value less than 60%, which means it is necessary to support political landscape improvement. It is important to give the intensive support of ever urgent landscape improvements and high priority landscape elements on the results of the diagnostic before planning of the rural landscape formation.