• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.249-250
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• 2016

Korean government has announced declared prices of apartment reflecting market condition each year. Therefore, on that basis, apartment owners have used as basic data trading apartments and the government has been used to calculate the tax. However, the sales prices and declared prices of apartment has occurred difference depending on the region and the brand. This study has analyzed and compared regional differences in sales price of apartments. The results of this study, we have known that sales price of apartments was a big difference depending on the region and the gross area. Especially, Seoul and Gyeonggi Province are the highest. And sales price of Southeast and urban area are the highest in Seoul. In the future, it is necessary that gap analysis between sales price and declared prices of apartment. And It is needed to develop apartment index considering the region and the gross area.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.5-20
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• 2018

This paper aims to analyze characteristic by the cities focused on the ratio of new apartment resale that is one of the apartment unit sale market, which has been increased recently. So, this study examined characteristics of population, apartment trade & sale, housing with 162 cities and counties and performed multiple regression analysis with dependent variable, ratio of new apartment resale. As a result. the factors affecting the ratio of new apartment resale are 7variables, apartment sales rate, transfer of ownership, apartment turnover rate, sale volume, regional apartment rate, population increasing rate, housing average apartment sale price rate. In terms of the increase in apartment sales prices, the rate of sales price increase was relatively low in areas where the transaction rate for apartment sales is high, and the number of apartment sales right transactions increased as the number of other ownership transfers rose. As a result, the data will be based on the improvement of the government's policies and systems to stimulate the transaction focused on the real estate agents in the apartment market.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.163-164
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• 2018

Every construction company should consider the apartment price when building apartment houses because the sales price has a great impact on the rate of apartment sales. Here, the average apartment price and characteristics of an apartment complex are factors that determine the sales price. However, the existing apartment pricing method fails to properly reflect the weight of each factor. Therefore, the study investigates factors that impact the apartment price and importance of each factor. It examines the apartment pricing method taking into account of the weight.

• Journal of the Korean housing association
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• v.9 no.3
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• pp.33-46
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• 1998

This study attempts to find out the characteristic of apartment housing sales information and housing choice behavior according to housing location. For this purpose, the apartment housing sales information in newspaper advertising was investigated and analyzed by advertising appeals to clarify the phenomenon of apartment housing sales and the components of home environmental quality according to housing location in Pusan. Then the field survey has been carried out based on 176 households living in Pusan. The major findings are as follows: 1) The components of home environment through AAs were divided into three categories of appeals: residential area, site area and dwelling unit area. 2) Apartment housing developments were differentiated according to period of development and occupancy scales according to housing location. 3) The results of field survey showed users' housing location. 4) The characteristics of apartment housing sales information according to housing location were revealed those characteristic were concentrated on the category of residential area than site area or dwelling unit area. But in housing choice behavior, the characteristics of housing location appeared in all categories of home environment. Therefore, for better apartment housing development and planning, the characteristics of housing location need to be considered more actively.

• Journal of the Korean housing association
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• v.21 no.6
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• pp.81-90
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• 2010

The existing most studies on the apartment sales prices have been limited to relatively small size apartment complexes and have not categorized the apartment complexes based on the number of households. Some of them uses the apartment-related indices such as regional value estimates, sales unit price, and view right values. In the case of Seoul Metropolitan Area, the size of apartment complex has been growing to the level of large complex over more than 1,000 households through new town development, redevelopment and reconstruction. People prefers to choose a large scale complex instead of small complex based on their perception that a large scale apartment complex provides more conveniences in living. The result of this analysis revealed that the variables chosen as important determinants of the hedonic price model for large scale apartment complexes were square meters of apartment unit, rent/price ratio, number of bays, distance to the nearest subway station, and heating system method. This means that the sales price of apartment unit will be higher as the square meters of apartment unit increase, as the rent/price ratio decreases, as the distance to the nearest subway station increases, and as the number of bays increase.

• Smart Media Journal
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• v.11 no.3
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• pp.62-73
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• 2022

Researches on the prediction of domestic apartment sales price have been continuously conducted, but it is not easy to accurately predict apartment prices because various characteristics are compounded. Prior to predicting apartment sales price, the analysis of major factors, influencing on sale prices, is of paramount importance to improve the accuracy of sales price. Therefore, this study aims to analyze what are the factors that affect the apartment sales price in Gwangju, which is currently showing a steady increase rate. With 6 years of Gwangju apartment transaction price and various social factor data, several maching learning techniques such as multiple regression analysis, random forest, and deep artificial neural network algorithms are applied to identify major factors in each model. The performances of each model are compared with RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and R² (coefficient of determination). The experiment shows that several factors such as 'contract year', 'applicable area', 'certificate of deposit', 'mortgage rate', 'leading index', 'producer price index', 'coincident composite index' are analyzed as main factors, affecting the sales price.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.567-572
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• 2011

The purpose of the study is aimed at estimating the reasonable price and forecasting the sales rate of the new apartment, using transaction data of the existing apartment that is close to perfectly competitive markets. In the present paper, therefore, attempts were made to determine the relationship between the existing apartment market and the new housing market. Also conducted an empirical analysis that complemented the problems of precedent studies.

• Journal of the Korea Institute of Building Construction
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• v.19 no.5
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• pp.439-448
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• 2019

There are various factors affecting the success and failure of an apartment building project. However, after the unit sale price has been determined and the sale has started, the most important factor affecting on the project is the initial sales ratio for one month after the sale. Generally, developers predict an initial sales ratio by various data such as economic situation, the trend of the housing market, and the house price near the business place. However, it is very difficult for these factors to be calculated quantitatively in connection with the initial sales ratio. Therefore, the purpose of this study is to develop a regression model for forecasting the initial sales ratio of apartment building projects. For this study, pre-sales data collection, correlation analysis between influencing factors, and regression model development are performed sequentially. The results of this study are used as basic data for predicting the initial sales ratio in the feasibility analysis of apartment building projects and are used as key data for the development of the risk management model.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.127-132
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• 2018

This study set out to examine message orientation in advertising expression through the content analysis of apartment sales advertisements in Busan. For this purpose, the study analyzed newspaper ads about apartment sales in the Busan area in terms of advertising appeal methods and message types. Advertising appeal methods(rational and emotional appeal) and message orientation(environmental, emotional, investment, and functional orientation) were categorized according to brands(nationwide and local brands). The findings show that most of apartment sales ads in Busan used a rational appeal method. While nationwide brands used rational and emotional appeal in similar percentage, local brands used a lot of rational appeal. Of the types of advertising message orientation, investment and emotional orientation recorded the highest percentage. Messages of investment orientation to show economic profit or premium were used most, being followed by messages of emotional orientation to show pride and happiness. These findings were interpreted to display differences in strategies for advertising expressions among brands. The findings are expected to offer useful practical implications for message strategies for apartment sales ads.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.86-94
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• 2019

The purpose of this study was to analyzes the problems in terms of transmission the information of architecture in the current apartment housing sales phase, to suggest the way of application the technology of BIM-based virtual reality. For this purpose, each element technology is analyzed through analyzing the exiting studies and international technical trend of BIM-based virtual reality and motion recognition devices. And then this study analyze the present condition of apartment housing sales phase and it conduct the expert interviews for derive the problem and analyzing the importance and priority by AHP method. And finally, this study suggest the solution in terms of information delivery in apartment housing sales phase through plan for support and deriving the function about problems. The system of BIM-based virtual reality viewer that utilize a leap motion that was presented in this study, it is believed to be able to efficiently transfer the information of architecture as building information transmission system user-centric in the future of apartment housing sales phase.