• Journal of the Korean Geographical Society
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• v.48 no.6
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• pp.879-896
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• 2013

The assessed land values and housing prices have been widely utilized as a basic information for the land and house trades and for evaluating governmental and local taxes. However, there exists a price difference in actual markets between the assessment level and assessed land values or housing prices. This paper emphasizes the spatial mismatch between the assessed land values and housing market prices and particularly addresses the following two aspects by focusing on spatial effects of the modifiable areal units, which would substantially affect the estimation of the assessed land values and housing prices. First, we examine the spatial distributions of the assessed land values and housing market prices, and the gap between those prices, on the basis of the aggregated spatial units(i.e., aggregation districts). Second, we explore the scale effect of the MAUP(modifiable areal unit problem) generally embedded in estimating the prices of the sampled standard lands and houses, and calibrating the correction index for the land values and housing prices for the individuals. For the application, we analysed the land values and housing prices in Seoul utilizing GIS and statistical software. As a result, some spatial clusters that the housing market prices are significantly higher than the assessed land values were identified at a finer geographic level. Also, it was empirically revealed that the statistical results from the regression of regional variables on the assessed land values for the individuals are significantly affected by the aggregation levels of the spatial units.

• KOREAN POULTRY JOURNAL
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• v.50 no.8
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• pp.128-131
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• 2018

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.115-124
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• 2019

The purpose of this study is to analyze the housing price variation within the redevelopment project district, affected by the characteristics of project and implementation stage. This study implemented the hedonic price model employing the actual transaction price with 24 dependent variables from 2006 to 2016 inside 19 redevelopment districts in Seoul. Research finding indicates that the larger ratio of the number of tenants and general distribution, the smaller ratio of rented households and the more positive effect of housing price. It is noteworthy that this study demonstrated the actual transaction price of houses located within the project districts by implementation stage. This study is expected to help the policy makers, the developers and the investors make more reliable decisions on the feasibility study related to the redevelopment project.

• Journal of the Korean Geographical Society
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• v.49 no.5
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• pp.761-778
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• 2014

There has been relatively little study to model price for commercial property because of its low transaction volume in the market. Despite of this thin market character, this paper tried to estimate prices for commercial lots as accurate as possible. We constructed a model whose components consist of mean structure(global trend), exponential covariance function and a pure error term, and applied it to actual sales price data of Seoul. We explicitly took account of spatial autocorrelation of land price by utilizing a kriging technique, a representative method of spatial interpolation, because the land price of commercial lots has feature of differential price forming pattern depending on submarkets they belong to. In addition, we chose to apply a bayesian kriging to overcome data scarcity by incorporating experts' knowledge into prior probability distribution. The chosen model's excellent performance was verified by the result from validation data. We confirmed that the excellence of the model is attributed to incorporating both autocorexperts' knowledge and spatial autocorrelation in the model construction. This paper is differentiated from previous studies in the sense that it applied the bayesian kriging technique to estimate price for commercial lots and explicitly combined experts' knowledge with data. It is expected that the result of this paper would provide a useful guide for the circumstances under which property price has to be estimated reliably based on sparse transaction data.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.349-350
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• 2018

지능정보기술 기반의 4차 산업혁명으로 기존의 산업구조 및 시장경제에 큰 변화가 있을 것으로 전망되는 가운데 글로벌 기업들은 신시장의 주도권 선점을 위해 적극적인 외부기술 도입과 개방형 혁신을 추진하고 있다. 국내에서도 "기술의 이전 및 사업화 촉진에 관한 법률"을 근거로 기술이전 사업화에 대한 제도적 틀이 마련되었으며, 공공기술을 중심으로 기술거래시장이 확대되고 있는 상황이다. 본 연구에서는 ICT분야의 기술이전 실 사례분석을 통해 기술이전 거래방식의 유형별 특성을 살펴보고 앞으로의 방향을 제언하고자 한다.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.269-276
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• 1999

철강산업은 대부분의 타 업종의 산업에 기초소재를 제공하는 기간산업으로서 그의 정보화로 인한 파급효과는 국가전체의 경쟁력에 영향을 미칠 정도로 실로 막대하다 할 수 있다. 철강산업의 정보화를 선도하고 있는 포스데이타는 1998년 6월부터 1년여의 기간에 걸쳐 철강업종의 CALS/EC 추진을 위한 1차단계로서 인터넷-EDI/EC 시스템 개발을 완료하였다. 우리는 본 시스템을 철강분야 기본거래업무의 철저한 분석을 바탕으로 구현하여 현업요원들이 즉각 인터넷을 통해 EDI 업무를 수행할 수 있도록 하였으며, 인증/보안, 전자지불 등의 기능을 추가하여 인터넷 환경에서 안전하고 편리하게 거래업무를 수행할 수 있도록 하는데 중점을 두었다. 현재 개발 완료한 시스템은 철강분야 국제표준문서 2종을 적용하였고 향후 나머지 철강업무용 표준문서와 거래정보 제공시스템 등의 사용자 편의를 위한 모듈들을 덧붙인다면 철강관련 산업체들을 하나로 묶는 통합철강전자거래 시스템으로써 훌륭히 그 역할을 담당할 수 있으리라 생각된다.

• Journal of the Korean hospital association
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• v.30 no.4 s.272
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• pp.46-57
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• 2001

• Journal of the Korean hospital association
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• v.30 no.4 s.272
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• pp.32-40
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• 2001

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.91-93
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• 2004

B2B Marketplace상에서의 거래에서 나타나는 주요한 특징은 다품종 및 대량의 물품 거래가 n：n거래 관계에 놓여있다는 점과 거래자가 원활한 거래 및 기업 내 관리를 위해 각자의 전자 카탈로그를 이용한 거래를 원한다는 정이다. 하지만 개별적인 전자 카탈로그 사용과 미흡한 표준안은 전자 카탈로그 상호 연계의 걸림돌이 되어 시장 형성의 걸림돌이 되고 있다. B2B Marketplace는 표준 분류체계를 중심으로 거래 대상 상품을 재분류하여 구매 당사자간의 거래 대상 물품에 대한 상호 애핑을 지원하는 방법 등으로 이를 충족시키려 하고 있다. 하지만 요청되는 다량의 물품에 대해 매번 분류를 수행해야 하는 고비용의 작업이라는 문제점이 있다. 본 논문에서는 이를 극복하기 위하여 기계학습 기법을 이용한 전자 카탈로그 상품 자동분류기를 모델링하고 이를 구현하는 것에 초점을 두었다. 상품의 속성별로 분류에 끼치는 영향력이 다론 것이라는데 착안하여 전자 카탈로그를 상품 단위로 재 모델링 하였으며 속성별 정보가 풍부하지 못한 정물 극복하기 위하여 속성값을 어휘 단위로 구분한 데이터를 추가 하는 확장 모델을 정의하였다. 또한 해당 모델을 학습시키기 위한 알고리즘으로는 속성별로 다른 가중치를 부여 할 수 있도록 확장된 Naive Bayesian Classifier를 고안하였다. 그리고 이론 B2B Market Place상의 실 데이터에 적용하여 고안된 모델의 유효성을 검증하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.2
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• pp.245-256
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• 2024

Since 2020, quantitative easing and easy money policies have been implemented for the purpose of economic stimulus. As a result, real estate prices have skyrocketed. In this study, the relationship between sales and rental prices by housing type during the period of soaring real estate prices in Busan was analyzed spatio-temporally. Based on the actual transaction price data, housing type, transaction type, and monthly data of district units were constructed. Among the spatio-temporal analysis models, the SpVAR, which is used to understand the temporal and spatial effects of variables, and the GSTAR, which is used to understand the effects of each region on those variables, were used. As a result, the sales price of apartment had positive effect on the sale price of apartment, row house, and detached house in the surrounding area, including the target area. On the other hand, it was confirmed that demand was converted to apartment rental due to an increase in apartment sales prices, and the sale price fell again over time. The spatio-temporal spillover effect of apartments was positive, but the positive effect of row house and detached house were concentrated in the original downtown area.