• Journal of agriculture & life science
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• v.46 no.6
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• pp.173-184
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• 2012

The objectives of this study are to analyze the factors affecting the structural changes of agricultural land use in Gyeongsangnam-do and to prospect for its future use. Seven commodity groups are categorized to include all agricultural products: rice, summer food crops, summer vegetables and other cash crops, fruits, barley, winter field vegetables, and winter greenhouse vegetables. We developed a model for acreage distribution among the seven commodity groups, and estimated the economic relations between prices and acreage distribution. The results showed positive relations exist between cultivating acreage and own commodity prices in all commodity groups, whereas competitive relations exist between summer commodity groups or winter commodity groups such that rice price decreases led to increases of fruits cultivating acreage or vice versa and winter vegetable price increases led to increases of winter greenhouse vegetables cultivating acreage or vice versa. Further, acreage elasticities with respect to own commodity prices or farm wage rates are estimated over the last 30 years, and future agricultural land use in Gyeongsangnam-do is prospected based on three different scenarios. Total agricultural land use in Gyeongsangnam-do will be decreased over the next 10 years from 159,000 ha in year 2010 to 143,000~153,000 ha in year 2020. By commodity group, cultivating acreage of rice, summer food crops, and barley will be decreased while cultivating acreage of summer vegetables, fruits, winter field vegetables, and winter greenhouse vegetables will be stagnant.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.4
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• pp.157-168
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• 2016

Change of Zoning Regulations in district unit plans calls for improving development benefits through upzoning rather than harmonious worldwide development. The purpose of this study is to examine the floor area ratio incentive system according to un-zoning in district units plan, and to suggest criteria to secure publicness. In order to derive methods to secure district unit plan publicness in Busan Metropolitan City, the ratio of securing public facilities through upzoning was examined. A comparative analysis of land price rate in the entire city versus the use district suggests that it is possible to secure 10 to 15% of public facilities. In this study, 10% of the project site was applied to secure public facilities, and it produced upgraded publicness.

• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.137-153
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• 2016

The price of agricultural products has changed from year to year, the m ajor c ause o f price fluctuation is the imbalance of supply and demand. Materials which are mainly used in korean cabbage production volume is the forecast model, using the cadastral result, slope calculation is impossible to achieved. For this reason, this implies the drastic decrease of prices and the prediction of supply and demand of field crops that is cultivated in a highland slope area, this situation is being repeated. Therefore, the target area of this research is the slopes of high land, by using 2D and 3D Lidar data for the analysis of the cultivated area. Experiment was carried out in the same area to compare the data differences. The rate of change in the area of slope is quantitatively increasing presented by the regression model. An alternative methodology that can improve the reliability of the calculated slope area using 2D is through cadastral map.

• Journal of the Korean Society for Railway
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• v.11 no.3
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• pp.216-224
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• 2008

In general, based on criteria of subway law, radius 500m from subway station is defined as SIA(Subway Station Influence Area). Therefore, in this paper, selection models of SIA are developed to identify appropriate SIA for recently developed 4 new towns based based on CART analysis. As a result, following outputs are obtained; (1) walking distance from subway station is the most influential factor to define SIA (2) SIAs vary with new towns (i.e., bundang city: 856m, ilsan sanbon city 508m, pyungchon city 495m), and (3) walking distance from subway station is influential to land price of SIA. In addition, bundang and pyungchon new town are more affected in land price and walking distance. Therefore, it is desirable for current definition of SIA (radius 500m from subway station) to reflect characteristics of land use and walking distance in the new towns.

• Spatial Information Research
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• v.23 no.5
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• pp.65-73
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• 2015

Newtown Business of Seoul had been performed to reduce deterioration of Gangbuk and economic inequality between Gangnam and Gangbuk. According to this, Eunpyeong-gu was set as test-bed for Newtown business and Newtown business had been completed until 2013. This study aims to analyze the influence of social and economical factors which affect land price using GWR (Geographically Weighted Regression) considered spatial effect. As a result of analysis, GWR model demonstrated a better goodness-of-fit than OLS (Ordinary least square) model typically used in most study. Furthermore, AIC value and Moran's I of residual prove that GWR model is more suitable than OLS model. GWR model enable to explain more detailed than global regression model as coefficient and sign show different value locally. In future, this research will be helpful to develop Eunpyeong-gu considering spatial characters and strength effectiveness of development.

• Journal of the Korean Society for Railway
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• v.11 no.5
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• pp.504-512
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• 2008

In general, based on criteria of subway law, radius 500m from subway station is defined as SIA (Subway Station Influence Area). Therefore, in this paper, selection models of SIA are developed to identify appropriate SIA for specific legions in Seoul metropolitan city based on CHAID analysis. As a result, following outputs are obtained; (1) walking distance from subway station is the most influential factor to define SIA (2) SIAs vary with regions (i. e. Gangnam area: 767m, Gangbuk area: 452m), and (3) walking distance from subway station is influential to land price of SIA. In addition, in Gangnam, the structure of land price of the closest section has a polynomial trend curve rather than linear compared in comparison with other sections. Therefore, it is desirable for current definition of SIA (radius 500m from subway station) to be redefined to reflect characteristics of land use and walking distance according to each region respectively.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.408-424
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• 2020

This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.

• Journal of Cadastre & Land InformatiX
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• v.52 no.2
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• pp.211-231
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• 2022

This study attempted to identify the effects of macroeconomic variables such as the All Industry Production Index, Consumer Price Index, CD Interest Rate, and KOSPI on apartment lease prices divided into nationwide, Seoul, metropolitan, and region, and to present a methodological prediction model of apartment lease prices by region using Long Short Term Memory (LSTM). According to VAR analysis results, the nationwide apartment lease price index and consumer price index in Lag1 and 2 had a significant effect on the nationwide apartment lease price, and likewise, the Seoul apartment lease price index, the consumer price index, and the CD interest rate in Lag1 and 2 affect the apartment lease price in Seoul. In addition, it was confirmed that the wide-area apartment jeonse price index and the consumer price index had a significant effect on Lag1, and the local apartment jeonse price index and the consumer price index had a significant effect on Lag1. As a result of the establishment of the LSTM prediction model, the predictive power was the highest with RMSE 0.008, MAE 0.006, and R-Suared values of 0.999 for the local apartment lease price prediction model. In the future, it is expected that more meaningful results can be obtained by applying an advanced model based on deep learning, including major policy variables

• Journal of the Korean Institute of Rural Architecture
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• v.14 no.4
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• pp.89-96
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• 2012

The purpose of the study is to identify land use characteristics which have influence on residents' mental health. Land use and housing types indicators including green areas and parks were selected by analyzing the related environment and health researches. Research database for every variable from 33 neighborhoods in Jeonju city were established through National Health Insurance Corporation, where is available for getting mental and behavioral disabilities (F code) expenses. The relation between those indexes and mental health were analysed. The findings of this study are as follows : First, the higher price area like apartments and raw houses the residents lived in, the more expenditure of F-code was paid. It could be interpreted by the relatively high frequency of medical treatment and interests on the health. Second, the more green area except park were there, the more F-code expenditure was given, which could be explicated with the spatial co-relation between location of green area and apartments of Jeonju city. It was very high, and apartment element's affect on the F-code was much more than the green zone. Third, the nearer to park were the residents, the less F-code expenses was paid.

• Journal of Construction Engineering and Project Management
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• v.8 no.2
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• pp.17-33
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• 2018

This study investigates the stability of professionals' cost variability factor-rankings across different levels of cost-variability and response scenarios. Descriptive statistics are used to examine the stability of factor-ranking for 20 cost variability factors and a Multinomial Logistic (MNL) regression model was implemented to examine the stability of cost variability factors across three cost variability levels. The finding on the descriptive statistics indicated that professionals' factors-rankings are stable only for external factors. The MNL regression results on factor-stability suggested that 8 out of the 20 evaluated factors were unstable determinant of lower cost variability levels. These factors are "risk associated with the project", "personal bias and poor professionalism of the estimators", "limited time available to complete the project", "lack of skills and experience by estimator" "geographical location of projects", "incomplete & rush designs for estimate", "unforeseen or unexpected site constraints", "high class bidders for the contractors". Similarly lack of experience and large size projects were observed to be unstable as well. These observations suggest that professionals' view on pre-tender cost variability factor-ranking yields unstable factor rankings hence should not be relied upon as the only mechanisms to mitigate cost related risks in construction projects.