• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.3237-3243
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• 2012

The purpose of this study is to analyze city's built environment that have influence on residents' health in the 40 small and medium-sized cities. In the study, landuse, urban form and facility accessibility of cities and other socio-demographic variables were used as explanatory variables, and a statistical analysis was carried out by applying multi-level analysis. Analysis shows that a high level of population density lower the obesity, and a high level of landuse-mix have a positive effect on EQ-5D & hypertension. In terms of urban form and facility accessibility, residents show a high level of obesity in an environment where roads are closely connected and access to bus service is bad. Finally, as more access to open space have a positive effect on EQ-5D. Therefore, landuse-mix, access to public transportation and open space should be used for planning factors to make a health improvement plan in cities.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.40-45
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• 2009

In September, 2008, the government has amended the National Territory Planning Act" by adding criteria to designate the Impact Fee Zone on the basis of the increase rate of the development permit. Since the permits are issued to scattered parcels on the individual basis, however, it renders significant difficulties in accurately figuring out the finite local areas that exceed such legal criteria. This study, in this context, tries to join the development permit time-series data with the Korea Land Information System (KLIS) so that, with the aid of the landform layer and existing infrastructure layer, it could pinpoint the local area where the development activities are concentrating. Taking a sector in Yangpyong County as the case, the study practically demonstrates as to how the designation process is geospatially processed.

• 한국공간정보시스템학회:학술대회논문집
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• 2000.06a
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• pp.93-105
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• 2000

GIS is a powerful toolbox in managing spatial data associated with attribute data. However GIS is short of spatial analysis function and graphic user interface(GUI) function in dealing with dynamic planning problems. Decision Support Systems(DSS) make up for the shortage of GIS by providing GUI function, modeling function and database function. Spatial Decision Support Systems(SDSS), a new kind of DSS, incorporate display function, basic spatial analysis function and manipulation function of spatial data and attribute data of GIS and GUI function, modeling function and database function of DSS in dealing with spatial planning problems. Planning Support Systems(PSS) add more advanced spatial analysis function and intertemporal function to the functions of SDSS. This study focuses on the modeling of a PSS for capacity expansion of water-distribution network depending upon land use planning by using GIS, value engineering(VE) and life cycle costing(LCC). The PSS shows a guideline about the investment of water-distribution networks related to urban growth management through generating certain numbers of dynamic alternatives to supply the amount of water caused by land use planning.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.3
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• pp.89-95
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• 2009

One of the criteria provided by the law to designate the Impact Fee Zone requires that the increase rate of the development permit should exceed that of the entire locality by more than twenty percent. Since the permits are issued to scattered parcels on the individual basis, however, it renders significant difficulties in accurately figuring out the finite local areas that exceed such legal criteria. This study, in this context, tries to join the development permit time-series data with the Korea Land Information System (KLIS) so that, with the aid of the landform layer and existing infrastructure layer, it could pinpoint the local area where the development activities are concentrating. Taking a sector in Yangpyong County as the case, the study practically demonstrates as to how the designation process is geospatially processed.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.3
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• pp.116-127
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• 2009

One of the criteria provided by the law to spatially determine the zones to levy the so-called development impact fee requires that the increase rate of the development permit should exceed that of the entire locality by more than 20 percent. Since the permits are issued to scattered parcels, however, it renders significant difficulties in accurately figuring out the finite local areas that exceed such legal criteria. This study, in this context, tries to join the development permit time-series data with the Korea Land Information System (KLIS) so that, with the aid of the landform layer and existing infrastructure layer, it could pinpoint the local area where the development activities are concentrating. Taking a sector in Yangpyong County as the case, the study demonstrates the methods to designate the zone by processing the permit information data.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.2
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• pp.44-55
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• 2018

The importance of establishing a greenhouse gas inventory is emerging for policymaking and its implementation to cope with climate change. Thus, it is needed to establish Approach 3 level Land Use, Land-Use Change and Forestry (LULUCF) matrix that is spatially explicit regarding land use classifications and changes. In this study, four types of spatial information suitable for establishing the LULUCF matrix were analyzed - Cadastral Map, Land Cover Map, Forest Map, and Biotope Map. This research analyzed the classification properties of each type of spatial information and compared the quantitative and qualitative characteristics of the maps in Boryeong city. Drawn from the conclusions of the quantitative comparison, the forest area showed the maximum difference of 50.42% ($303.79km^2$) in the forest map and 46.09%($276.65km^2$) in the cadastral map. The qualitative comparison drew five qualitative characteristics: data construction scope difference, data construction purpose difference, classification standard difference, and classification item difference. As a result of the study, it was evident that the biotope map was the most appropriate spatial information for the establishment of the LULUCF matrix. In addition, if the LULUCF matrix is made by integrating the biotope, the forest map, and the land cover map, the limitations of each spatial information would be improved. The accuracy of the LULUCF matrix is expected to be improved when the map of the level-3 land cover map and the biotope map of 1:5,000 covering the whole country are completed.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.188-198
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• 2016

In order to supply the residential land for the promotion of public welfare, it must take a land of city suburb. That land have the difference in thinking is large for the determination of land prices to a variety of development pressure and land use regulations. In the process of executing a public project, the difference of these ideas has become a cause of conflict. Therefore, through objective study for the determination of land prices, to reduce the difference of ideas is going to be a clue of conflict resolution. This study selected the case area that is typical public district of many conflict, and then fix a compensation unit price like fair price as dependent variable. The selected variables through previous studies and expert consultation was an independent variable. To analyze the impact factors of land prices in the hedonic price model. The results were analyzed by distinguishing the group on the basis of the zoning and using, whether or not the site of the building in part that there is influence variable, the aspects of accessibility and regulation in part degree of influence variable came out different results for each group. It is analyzed that it reasonable results. Add selected site assimilation of the building that have not been presented in previous studies as a variable and which was applied at a rate to a variable of road have improved in more expliction of the influence of variables.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.195-208
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• 2009

A network design problem (NDP) formulated as a mathematical program is generally used to find an optimum value to minimize or to maximize some objectives such as total travel time, social benefit, or others. NDP has, however, some limits of describing components of travel patterns like activities and trip generation due to its modeling simplicity, and also it has difficulty in including attributes of regional planning. In order to cope with such limits, this paper extends NDP to the urban planning field and proposes a mathematical program which can describe the interactions between urban social activities and transportation planning. Based on this model the authors try to optimize both urban activities and the transportation system. The model developed in this paper is tested to assess its application with a real-size regional transportation network.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.311-313
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• 2010

본 연구는 토지적성평가 우선개발 항목 중 적법훼손지의 정확한 공간정보의 추출을 위해 Google Earth 영상을 이용하여 분석하였다. 현재 공시지가대장과 건축물대장의 속성정보만을 이용하여 일필지의 면적이내 경계를 추출하고 있어 적법훼손지의 필지별 정확한 세부적인 공간정보를 추출할 수 없는 현실이다. 따라서 본 연구의 Google Earth 영상을 이용한 결과 적법훼손지의 정확한 필지별 면적 및 경계를 구체적으로 추출하는 추적기법개발을 제시하였다. 또한 Google Earth 영상을 이용한 추적기법개발에 따른 일 필지의 정확한 세부 공간정보를 평가한 결과 지적도에 일부 편입되는 적법훼손지의 위치 및 면적등과 관련된 구체적인 일필지의 공간정보를 분석할 수 있었다. 따라서 적법 훼손지를 정확히 구축함으로써 관리지역 세분제도에 계획 생산 보전관리지역에 대한 정확한 평가를 위한 기초적인 참고자료로서 활용 될 수 있을 것이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1721-1725
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• 2007

본 연구에서는 안양천 유역의 물순환 건전화를 위한 계획수립의 첫 번째 단계로 HSPF 모형을 구축하고 중유역별 물순환 현황 및 BOD 부하량을 정량적으로 파악하였다. 모형을 구축하기 위해 HSPF 모형의 수량 및 BOD에 대한 민감도 분석을 수행하였으며 다양한 속성을 갖고 있는 안양천 유역을 토지이용, 경사도 및 사용한 기상자료 등의 특성에 따라 총 4개 지역으로 구분하여 검 보정을 실시하였다. 물순환 모의 결과 하류로 갈수록 도시화 비율이 높으며 이로 인해 기저유출량은 $11.1%{\sim}5.0%$로 줄어들고 직접유출량은 $42.5%\rightarrow56.9%$로, BOD 농도는 $3.3\;mg/L\rightarrow15.0mg/L$로, 단위면적당 원단위는 $55.4\;kg/ha/year\rightarrow354.5kg/ha/year$로 증가하였다.