• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.1
• /
• pp.109-118
• /
• 2023

Data-based analysis methods have become used more for estimating or predicting housing prices, and neural network models and decision trees in the field of big data are also widely used more and more. Neural network models are often evaluated to be superior to existing statistical models in terms of estimation or prediction accuracy. However, there is ambiguity in determining the input feature of the input layer of the neural network model, that is, the type and number of input features, and decision trees are sometimes used to overcome these disadvantages. In this paper, we evaluate the existing methods of using decision trees and propose the method of using decision trees to prioritize input feature selection in neural network models. This can be a complementary or combined analysis method of the neural network model and decision tree, and the validity was confirmed by applying the proposed method to house price estimation. Through several comparisons, it has been summarized that the selection of appropriate input characteristics according to priority can increase the estimation power of the model.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.29 no.6D
• /
• pp.753-760
• /
• 2009

This study analyzed the fluctuation of the construction material cost from 2001 to 2008 in Busan to examine the effect of the fluctuation of the construction material cost on lotting price of the multi family attached house. The major findings are as follow. First, as the result of the analysis on four materials such as reinforced bar, remicon, PHC piles, Copper Tubes, those take largest portion of construction cost, it was found that the there is wide difference in price fluctuation of the each materials. The reinforced bar and Copper Tubes showed high price increase by an average 14.03% and 14.91% per year while remicon, PHC piles remained almost unmoved by an average 0.86% and 2.41%. Second, According to the result of the analysis on the mutuality between the fluctuation of the construction material cost and the lotting price of the multi-family attached house, it was found that the fluctuation of the construction material cost have the most enormous effect on the sale price of the multi-family attached house, when there is 3 month time lag in reinforced bar, remicon, PHC piles, Copper Tubes, commonly. Also this mutuality continues to 6 month, 9 month and 1 year, although it decrease a little bit.

• Journal of the Korean housing association
• /
• v.18 no.2
• /
• pp.75-82
• /
• 2007

Under the premise that the housing market is not fixed, but changes organically according to social and systematic environment, it has important meaning as the object of this study to identify the recent housing market's movement by deducing the changed characteristics of the factors to compose the recent new houses. By using the following methodology, this study analyzed the characteristics and mutual relations of the economical and house-composing factors, categorized the investigation object into sub-markets, and executed comparative analysis. First, based on the leading studies analyzing the factors of house price determination and the assessment indicators of 'Green Building Certification Program', the composing factors are deduced. Second, the factors are categorized as economic, housing complex planning and geographical condition. Third, to identify the influence of housing environmental factors on economic factors, the correlation between the former and the latter, and the difference between economic factors are analyzed. Fourth, by segmenting and categorizing the housing market into time and location subgroups, the chronicle trend and the geographical characteristics are analyzed.

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

• Journal of the Korean housing association
• /
• v.22 no.3
• /
• pp.83-91
• /
• 2011

The aim of this study was to determine the basic perception of Kleingarten house planning of Jeonbuk area. The survey method was used for data collection. The major finding were as follows: 1) Almost all respondents have a very positive attitude the participant of Kleingarten. Many respondents wanted the cheapest price for the Kleingarten rental fee and for the travel time between their home and Kleingarten to be under an hour. 2) Two different size of 45 and 66 $m^2$ were preferable for the house floor plans. The most preferable floor plan type chosen by the respondents was a house design with a terrace and the elderly householders especially preferred a house floor plan with an LDK design. 54.3 per cent respondents liked the log house and 93.3 per cent respondents liked the eco-friendly building materials such as wood, earth (Korean natural earth: whangto), and adobe bricks etc. 3) There were more needs for useful facilities such as a pergola, a grassy lawn, small ponds, a playground for the childrens, patio table settings, etc.

• Journal of the Korean housing association
• /
• v.19 no.5
• /
• pp.29-36
• /
• 2008

The objective of his study is to research the effect of the 'Dagagu' housing purchase and the public rental housing supply on the nearby community. In the case of public rental housing, many studies have demonstrated that the perception that a public rental house is a low income dwelling has an external effect on the residents immediately outside the area such as the perception of the lowering of house prices. However, an advanced research concerning the 'Dagagu' housing purchase and public rental housing has not been carried out because it has only recently been enforced. Through a survey conduced of residents who live nearby the 'Dagagu' housing purchase and public rental housing the aim of his study is to show how the residents perceive the renal houses and are influenced by them. At the same time, this study demonstrates the external effect of rental house supply by analyzing the housing price around the area. Most people who live in the near by 'Dagagu' housing purchase and public renal housing have a negative opinion of his housing because they believe that the residential prices will depreciate. However, only about 40% of the people felt that the residential price depreciation as a result of the 'Dagagu' housing purchase and public rental housing supply was not visible.

• The Journal of Information Systems
• /
• v.30 no.2
• /
• pp.147-163
• /
• 2021

Purpose The study aims to predict real estate prices by utilizing regional characteristics. Since real estate has the characteristic of immobility, the characteristics of a region have a great influence on the price of real estate. In addition, real estate prices are closely related to economic development and are a major concern for policy makers and investors. Accurate house price forecasting is necessary to prepare for the impact of house price fluctuations. To improve the performance of our predictive models, we applied LSTM, a widely used deep learning technique for predicting time series data. Design/methodology/approach This study used time series data on real estate prices provided by the Ministry of Land, Infrastructure and Transport. For time series data preprocessing, HP filters were applied to decompose trends and SOM was used to cluster regions with similar price directions. To build a real estate price prediction model, SVR and LSTM were applied, and the prices of regions classified into similar clusters by SOM were used as input variables. Findings The clustering results showed that the region of the same cluster was geographically close, and it was possible to confirm the characteristics of being classified as the same cluster even if there was a price level and a similar industry group. As a result of predicting real estate prices in 1, 2, and 3 months, LSTM showed better predictive performance than SVR, and LSTM showed better predictive performance in long-term forecasting 3 months later than in 1-month short-term forecasting.

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

• Journal of the Korean Society of Food Culture
• /
• v.22 no.6
• /
• pp.748-756
• /
• 2007

The purposes of this study were to analyze importance and performance for coffee quality attributes based on customers according to their consumption types; and provided ideas and marketing strategies to increase sales through IPAs (Importance-Performance Analysis). University students in Incheon were conducted a survey from March 13, 2007 to March 31, 2007. As for a quality attribute with the highest importance, the survey showed 'price' was important for ${\ulcorner}$vending machine coffee${\lrcorner}$, and 'taste' was important for ${\ulcorner}$commercial coffee${\lrcorner}$, and ${\ulcorner}$coffee house coffee${\lrcorner}$. And 'thirst relief' was found to have the lowest importance for three types of coffee. As for a quality attributes with the highest performance, the survey showed 'taste' was important for ${\ulcorner}$coffee house coffee${\lrcorner}$ 'price' was important for ${\ulcorner}$vending machine coffee${\lrcorner}$; and 'period of circulation' was important for ${\ulcorner}$commercial coffee${\lrcorner}$. IPA results for coffee quality attributes also showed quality attributes that should be improved quickly for each type of coffee: 'hygiene', 'safety', 'period of circulation', and 'package' were for ${\ulcorner}$vending machine coffee${\lrcorner}$; 'price' and 'freshness' were for ${\ulcorner}$commercial coffee${\lrcorner}$; and 'price' and 'period of circulation' were for ${\ulcorner}$coffee house coffee${\lrcorner}$.

• Korean Journal of Construction Engineering and Management
• /
• v.11 no.1
• /
• pp.79-87
• /
• 2010

The purpose of this study is to find decisive factors affecting Share-styled Apartment house Lee Myung-bak announced for the homeless masses in February 2008. This policy tried to add up defects from Half-priced Apartment house enforced in 2007. Seoul is ranked as the highest PIR(Price Income Rate) city in the world, as far as the difficulties in getting own house is concerned. Korean government has announced a lot of policies to control the price of real-estate, especially housing bubble phenomenon, since the convalescence from IMF financial crisis. By making questionnaires to get an important factor and taking counsel with related specialists, this thesis found what kind of roles the objects including government, institutions and people should play or focus on.