• 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.

• Korea Real Estate Review
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• v.27 no.1
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• pp.45-57
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• 2017

In this study, the factors influencing logistics warehouse price were analyzed using Hedonic price model. All the actual transaction cases of the logistics centers in Gyeonggi province for 10 years from 2006 to 2015 were investigated. In this hedonic model, statistically significant variables includes building, economic, investment and time characteristics. The analysis permits a better insight of price determinants of warehouse price. First, the purchase price of large size logistics centers is relatively high. Second, the indirect investment shows higher price due to active investment tendency. Third, Foreign investors with various know-how on investment are leading the selling price.

• Knowledge Management Research
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• v.22 no.1
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• pp.105-120
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• 2021

Recently, there has been a dramatic change in real estate markets with the development of information technology. The word, Proptech, is defined as the real estate transaction innovation motivated by various types of information technology including artificial intelligence, sensing technology and big data. The objective of this study is to provide a value-creation framework for Proptech business based on the understanding of how and what types of values are created and shared, which gives organization to develop strategies and business models. And a new classification scheme of Proptech business is also suggested based on the recognition of created values along the development of Proptech business. Then, the proposed matrix is applied to derive the business value such as intangibility value, relational value and enhancement value with the case analysis on the each components of Proptech business.

• Korea Real Estate Review
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• v.28 no.4
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• pp.63-73
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• 2018

The purpose of this study is to identify the key factors affecting official land values and the appropriateness of the assessed land price, to find out what determines the real estate price and to assess the appropriateness of the valuation. This study explored whether actual transaction prices of forest land located in six Gu districts in southern and northern parts of Han river are appropriate using independent sample t-analysis and logistic regression analysis. Results showed that regional differences and shape were adequate for development restriction areas, whether biotope was designated, whether or not to be preserved, differences in pitch, and differences in use, and differences in bearing and approach. Thorough analysis of unique factors that determine forest land prices must be carried out in advance and the findings should be applied to the examination and assessment of official land values. The forest land appraisal system is closely related to the public's economic activity, thus it is necessary to apply forest land value determinants considered to be significant by market participants to the forestland appraisal system. I look forward to seeing variables related to the appropriateness of forest land transactions drawn from this study being used as indices for settlement of forest land transaction orders and market stabilization.

• Journal of Contemporary Eastern Asia
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• v.16 no.1
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• pp.93-113
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• 2017

This study aimed to determine the changes in the local fiscal structure brought about by the change in the transaction tax, including the acquisition tax, by the central government. The review of the analysis results proved the following. First, the government's transaction tax exemption policy effectively influenced the expansion of the local fiscal budget. Transaction tax exemptions such as acquisition tax exemptions would not contribute to the expansion of the local fiscal budget in the short run, but may do so in the long run. Second, the review of the effect of the transaction tax exemption policy by the central government on the local fiscal structure confirmed that its impact on the local fiscal structure may vary depending on the timing of such tax exemption. Third, the overall local fiscal structure as a result of the transaction tax exemption by the central government was confirmed to have been influenced more by the fiscal capability of the local government than by the income level of the local residents. In conclusion, the stimulation of real estate transactions using tax tools may positively influence the overall fiscal structure of local governments, but it would also put pressure on the fiscal management of local governments because it is largely influenced by the fiscal capability of the local governments.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.95-118
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• 2017

Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government's spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper research.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.185-190
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• 2024

In 2022, we can see the real estate market in Korea going down. Corona 19 and the Russian invasion of Ukraine are cited as the biggest causes for this. These two problems ignited the economic recession, causing prices to fall and subsequently raising exchange rates and interest rates. Due to the aforementioned problems in the previously active real estate market, the number of actual transactions has decreased, resulting in a decline in the real estate market due to high interest rates. Data provided by the public data portal, KOSIS, and the Seoul Metropolitan Government were collected through Logstash, transferred to Elasticsearch, and visualized inflation, exchange rates, and loan interest rates using the dashboard function provided by Kibana, to analyze causes and derive results. In addition, three specific apartments in Nowon-gu and Jongno-gu, which have the highest number of actual transactions in Seoul, are selected and the actual transaction prices that change every month are displayed in the Data Table.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.74-82
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• 2022

With the introduction of proptech, this study aims to find out the changes and necessity of introducing blockchain technology, one of the most popular technologies, in real estate electronic transactions. In addition, it is intended to develop evaluation indicators that classify newly created values within real estate electronic transactions and calculate the relative importance of each value area through technology application. To this end, the value that can be created when applying blockchain technology to real estate electronic transactions was classified according to the hierarchy, and considering that the evaluation criteria are complex and the importance can be measured differently depending on various factors, an analysis was conducted according to the AHP method for experts in practical and academic fields. As a result of the analysis, general value showed the highest importance in the first dimension, and digitalization of real estate information showed the highest importance in the second dimension.

• Journal of Arbitration Studies
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• v.25 no.4
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• pp.119-136
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• 2015

The contracting parties must be provided a litigation scheme in order to resolve a dispute. This means taking advantage of effective measures for mediation or arbitration. A lease transaction is likely to occur mainly after a dispute. It is necessary to take the appropriate measures in advance. In general, when a variety of contracts are created, conflicts arise and disputes have to be resolved through mediation and arbitration documents, and adjustment or intervention is called for. Arbitration system is a system that is established based on the trust of the arbitral tribunal. For such system, quality education for enhancing professionalism required of the arbitrator is important. A party responding to an arbitration agreement presents a problem. The current system must ensure that there are no disadvantaged parties. However, a party must depend on an arbitration agreement that is part of the law rescue system. A litigation support by the local Bar Association must be carried out. It should be notified of the contents of the contract to select a strategy that will best resolve the conflict. In the case of lease transactions, there is a need to create a scheme to make a standard agreement that inserts an arbitration clause. Lease sale and purchase agreement or lease agreement is a form of contract that has been frequently used. Here, the arbitration agreement clause for a lawyer that will serve as arbitrator should be inserted. It is a scheme that can be activated for individuals in poor areas. In addition, it is possible to see it taking a scheme to take advantage of the lawyer system for the future of the town. The Attorney System of a town is a system that the Korean Bar Association, Legal Department has put in place since 2013. If a real estate trade dispute occurs, the role of the intermediary attorney should be to carry out his duties efficiently. In the case of real estate transaction conflicts, the lawyer of the village should be registered as the arbitrator. It is important to establish a basis of regulations through this type of real estate transaction accident analysis. Before proceeding with various adjustment systems, it is desirable to expand the arbitration region. Now we need a realtor amendment. It is the part where fragmentation of intermediary qualification is required, along with the eligibility of a subdivision.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.464-466
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• 2000

인터넷의 발전에 따라 전자상거래의 기술적인 중요성이 한층 높아지고 있다. 최근 부동산 전문 쇼핑몰이 증가하고 있는 추세이다. 그러나 기존 부동산 쇼핑몰은 단순한 검색 수준의 게시판 형태로 결과를 보여주고 있는 문제점이 있다. 본 논문은 기존의 부동산 쇼핑몰들이 갖고 있는 지능화 자동화의 부족과 가격 중심의 거래라는 문제점을 극복하기 위해 부동산 거래과정에 참여하는 당사자들이 제시한 요구조건과 우선 순위를 절충할 수 있는 기능을 가진 알고리즘과 지능화와 자동화를 가진 에이전트를 이용해 부동산 거래를 위한 우선 순위 기반 에이전트 시스템을 제안하고, 이 알고리즘을 이용한 시스템을 연구하였다.