• Journal of Cadastre & Land InformatiX
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• v.45 no.2
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• pp.203-216
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• 2015

This study focuses on the relationship between housing sale prices and Jeonse prices, amid a recent surge of Jeonse price and Jeonse-to-housing sale price ratio. There are many studies about the relationship between house prices and Jeonse, but they couldn't fully explain what makes them spike up. In addition to this relationship, this paper deals with the difference of Jeonse system on regions and price levels. Using Granger causality and Spearman's Correlation Coefficient, the outcome is drawn. As the result, the expected rate for housing sale prices effects on the Jeonse-to-housing sale price ratio. The higher on sale price, the lower the Jeonse-to-housing sale price ratio regarding the region difference.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.490-497
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• 2007

Since the foreign currency crisis, Korean economy has suffered recession and the government launches residence and real estate policy in order to increase the demand and trade of real estate and to help the economy revitalization. 1 As a result, the rate of economy growth is shown the high increase with the figure of 10.9% in 1999 and 8.8% in 2000. However, it brings overheating market as a negative effect. Although, the government established the policy for the control of speculation, the policy causes instability of economy. This study is to analyze the effect between the residence policy and the housing cost since the foreign currency crisis through housing sale price estimation and housing lease price estimation and is to apply the basis data of the next residence policy.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.35-36
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• 2020

In recent years, prices have risen sharply, and housing has become an object of investment. Accordingly, the expansion of the supply of public rental housing with publicity and the conversion of pre-sale are emerging as an alternative to stabilize the housing market. However, the method of calculating the pre-sale price applied for each rental period has a problem that there is a large difference from the construction cost at the time of construction As an improvement measure, there is a method of applying a conversion price for 5-year public rental housing and the price control. Each has its strengths and weaknesses, and we apply the most appropriate improvement measures in consideration of present and future values.

• Journal of The Korean Digital Architecture Interior Association
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• v.8 no.1
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• pp.15-21
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• 2008

The district unit planning (DUP) in Korea is a planning instrument. One of the key methods is the incentive system focused on the mitigation of the financial charge of business proprietors with use of various planning deregulation. Here in this paper, it is examined whether the incentive system is indiscriminately applied not only in the metropolitan cities but also in the rural cities. The analysis is carried out with six indicators in relation to the effect on the incentive system on the market of Apartment Housing Development. The indicators are a. the building-to-land ratio(BLR), b. the floor area ratio(FAR) c. the publicly assessed value of land(PAVL), d. the sale price of land(SPL), e. the sale/lease price of apartment house(SLPH) and f. the ratio of housing subscription(RHS). The final result is that the incentive system has different effects between metropolitan cities and rural cities. One of reasons lies on the too high FAR in rural cities to be given basically. Another reason lies on the difference between the cost for purchasing public installation and the profit of the sale & lease price of apartment house. In rural cities their difference becomes much narrow. Finally, the low ratio of housing subscription(RHS) in rural cities makes the effect of the incentive system nearby meaningless.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.523-531
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• 2008

This study tried to find differences between housing lotting prices and sale prices owing to new multi-family housing price regulation. As the results of this study, they are as follows; First, this study shows housing market in Busan has a preferences of new housing which has a new housing form differing from the existing housing form. For example, the mixed-use apartment with higher stories shows steeper incline than the apartments with the existing forms. Second, the new housing prices are affected by the information that affect the price of the old existing housing. They are rates of green area of an apartment complex, the number of household, accessibility to downtown Busan and etc.. They are also confirmed factors that affect a rise of used-housing price in other studies. Third, brand value of apartments affects new housing prices. For example, if the major construction companies build the new apartment, it shows a rising trend than any other housing. Therefore, the local construction companies are expected to be put on a disadvantage places than major construction companies. Fourth, the lotting prices are the most important cause that lead to rise the new housing prices. Accordingly, the present lotting prices are expected that upward tendency the purchasing prices of the new housing will not continue, because the lotting prices have risen since the government removed lotting price regulations and exceeded the level of used-housing prices. And it denote that importance of housing sub-market which indicates rates of old existing housing market rising, frist preference Gu, second preference Gu, rate of multi-family housing.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.115-119
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• 2005

This study is to examine changes since autonomy of lotting-out price of apartment house and planning factors related to sale of apartment house through leaflet of sale of apartment house. Objects of the study were leaflets of sale of apartment houses through the Donga Il Bo daily newspaper from 2001 to 2003. The results of research can be summarized to three. First, traffic of locational factors in advertisement of sale of apartment house showed the highest frequency and it was found that it was an important planning factor of apartment house. Second, considering that advanced facilities and the highest finishing materials were used, quality of apartment house has been advanced. Third, considering that community space, theme park and green zone showed high occupancy in external space, there has been high increase in external space as well as in internal one since autonomy of lotting-out price.

• Journal of Cadastre & Land InformatiX
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• v.49 no.2
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• pp.39-56
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• 2019

In this study, we analyzed the effect of the Eungam Loop Line of Seoul Subway Line 6 on the sale price of adjacent row and multi-family houses on the accessibility and structural characteristics of subway stations. This study empirically analyzed a total of 17,938 cases from 2006 to 2017 based on data on the sale price of row and multi-family houses. In summary, the results of this study using the Hedonic Price Model are as follows. First, this study confirms that the Eungam Loop Line characteristics have a positive effect on the sale price as it is adjacent to the subway station. It is noteworthy that the sale price of 100-200m segment has a positive effect, and the sale price of Bulgwang station, which has excellent mobility and connectivity with CBD, YBD and GBD, has a positive effect. Second, this study shows the locational characteristics such as distance to bus stop, distance to mart, and distance to school have influence on the sale price. Third, this study finds the land characteristics such as land area, land shape, land facing, and road width, have significant effects on the sale price. Fourth, this study discovers the sale price is also is also affected by building and floor characteristics such as the type of housing, building area, the number of households, building age, elevator, and floor level.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.261-262
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• 2021

Increasing construction costs are required due to increasing the supply of small type houses with changes in multi-family housing trends. However, a sharp rise in the construction cost of small type houses can raise the sale price, threatening the stability of national housing. Therefore, this study aims to estimate the change in the construction cost of small type houses from the basic construction cost of the sale price ceiling system and suggest an improvement plan.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.94-101
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• 2020

This study examined the effect of the sale price by excluding the PHC-pile cost from the construction costs for basic type (CCsBT) as an additional cost. The Ministry of Land, Infrastructure, and Transport excluded the PHC-pile cost in the CCsBT and new method so that only the designed pile quantity was recognized as an additional cost. The effect on the sale price was analyzed by comparing the pile cost of the existing and new methods. For this purpose, seven cases were selected, and the PHC-pile cost was estimated. The existing method was estimated as the ratio of the pile cost to CCsBT. The new method was estimated based on the bill of quantity. As a result, the CCsBT decreased by approximately 2-3% when the PHC-pile cost was calculated in the new method. Furthermore, as a result of comparing the sale price, excluding the PHC-pile cost with the sale price, the CCsBT decreased by approximately 1%. These results are expected to help improve the understanding of the CCsBT. Also, this paper contributes to promoting national housing stability through institutional improvement.