• Journal of Korean Society of Rural Planning
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• v.18 no.3
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• pp.77-89
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• 2012

In 2003, "The National Land Use and Planning Act" (NLUP Act) was enacted unifying two old laws; "The Urban Planning Act" enacted in 1962 and "The National Land Use and Management Act" enacted in 1972. One of main reasons of unifying two acts was to extend urban planning-based development systems to rural areas for preventing uncontrolled urban sprawl in rural areas and enhancing or settlling plan-based land use system in rural areas. This paper is conducted with the following specific objectives: i) to critically review the contents of NLUP Act in terms of rational rural land use planning; ii) to evaluate plan-based land use practices in rural area by NLUP Act; iii) to appraise performance level for prevention against unplanned development activities in rural areas by NLUP Act. To accomplish these objectives, we surveyed actural state of rural land use and development system by the new act in two case study areas. Ansung city in Gyeongi province as an urban sprawl region and Hamyang county in Gyeongnam Province as a remote rural area. Study results ascertained that the new act can not effectively control rural land use and not prevent over-use of agricultural land in the positive and effective ways because of followering three points.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.6
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• pp.125-135
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• 2020

The uncontrolled urban expansion causes various social, economic problems and natural/environmental problems. Therefore, it is necessary to forecast urban expansion by identifying various factors related to urban expansion. This study aims to forecast it using a decision tree that is widely used in various areas. The study used geographic data such as the area of use, geographical data like elevation and slope, the environmental conservation value assessment map, and population density data for 2006 and 2018. It extracted the new urban expansion areas by comparing the residential, industrial, and commercial zones of the zoning in 2006 and 2018 and derived a decision tree using the 2006 data as independent variables. It is intended to forecast urban expansion in 2030 by applying the data for 2018 to the derived decision tree. The analysis result confirmed that the distance from the green area, the elevation, the grade of the environmental conservation value assessment map, and the distance from the industrial area were important factors in forecasting the urban area expansion. The AUC of 0.95051 showed excellent explanatory power in the ROC analysis performed to verify the accuracy. However, the forecast of the urban area expansion for 2018 using the decision tree was 15,459.98㎢, which was significantly different from the actual urban area of 4,144.93㎢ for 2018. Since many regions use decision tree to forecast urban expansion, they can be useful for identifying which factors affect urban expansion, although they are not suitable for forecasting the expansion of urban region in detail. Identifying such important factors for urban expansion is expected to provide information that can be used in future land, urban, and environmental planning.