• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.4
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• pp.35-44
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• 2002

Although GIS technology has been developed rapidly, the education system for GIS technology and its utilization has not been well facilitated in our society. Consequently, the economic value in GIS application system is not estimated properly in the public sector. On the other hand, industries currently suffer lack of technocrats or researchers to develop GIS. In addition, the demand for GIS education on its concept and know-how has increased drastically as GIS analytic technology has come to be applied to more varified fields. Under these circumstances, this study researched and analyzed the current state of GIS education in the public, private and academic sectors in Korea. Furthermore, it recommended improving the educational environment for GIS experts training based on the results of the questionnaire used in the survey. Most of all, the national investment should be conducted systematically in order to improve quality of education in the public, private and academic sectors.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.22-28
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• 2013

This study aims to propose the location selection method of car-sharing services in Daejeon Metropolitan city. In order to select locations for car-sharing, Daejoen area was divided in $500m{\times}500m$ cell size using GIS Arc/Info 10, and input factors which may affect car-sharing service were determined, and then each input factor was standardized for analysis. The weight for each input factor was determined through experts' survey and index of goodness of fit was estimated in each cell ($500m{\times}500m$ size) using AHP method. Also, This study proposed the method to select 30 service facility location using Location-allocation Model in Network Analysis module. The proposed method for the location selection of car-sharing service in this study can be used for preliminary data for initial car-sharing introduction. Henceforward, appropriate demand forecasting and economic evaluation for the location selection of car-sharing service are needed for the further study.

• Journal of Korean Society of Environmental Engineers
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• v.34 no.1
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• pp.23-31
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• 2012

Measures against non-point sources pollution in Saemangeum watershed should be established to control water quality of Saemangeum lake, because non-point sources pollution discharge portions of BOD (Biological Oxygen Demand) and TP (Total Phosphorous) in the watershed were 68.4 and 61.4%, respectively. In this study, target regions for the non-point sources pollution control were selected to apply BMP (Best Management Practices) for the agricultural area of Saemanguem watershed in terms of TP that caused eutrophication at the lake. Target regions were selected by the NPSI (Non-point source index) that was calculated by the total 12 indexes at the steps of non-point source production, emission and outflow. Weights of the indexes were determined by the watershed management experts oriented AHP (Analytic Hierarchy Process) analysis. The target region was selected at the unit of Korean basic administrative district 'Dong/Li'. At the results of NPSI calculations through the GIS (Geographical Information System) tools, two sets of 5 regions were selected in the Man-kyung River and Dong-gin River. The main reason for the selected target regions was livestock activity in the district. The results of this study can be useful for implementing the reduction projects of agricultural non-point sources pollution to control water quality in Saemangeum lake.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.3
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• pp.334-348
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• 2020

Recently, the demand for corporate location in the city is increasing. Due to the difficulty of finding a large site in the city, the small-scale 'mini-industrial complex' would be appropriate as a future industrial complex type. In response to this, site suitability indicators was prepared and applied to the metropolitan area as a pilot. To this end, the under-utilized site were assumed as potential candidates for development. After analyzing the importance among indicators through a questionnaire from experts and companies, this was applied as a weight. As a result, candidate sites ranging from Grade 1 to Grade 4 were derived. The indicators that had a great influence on the location identified as a Grade 1 were transport accessibility and urban service conditions when the company weight was applied, whereas advanced knowledge industry and university/research center when applying expert weight. The Seoul-south axis and southwest axis of Gyonggi-Do were identified as the most excellent mini-industrial complex locations among the Seoul metropolitan areas. It means that the already formed knowledge industry clusters will be recognized as competitive future industrial locations.