• Journal of Information Technology Services
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• v.21 no.3
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• pp.63-72
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• 2022

The extinction crisis of local cities, caused by a population density increase phenomenon in capital regions, directly causes the increase of vacant houses in local cities. According to population and housing census, Gunsan-si has continuously shown increasing trend of vacant houses during 2015 to 2019. In particular, since Gunsan-si is the city which suffers from doughnut effect and industrial decline, problems regrading to vacant house seems to exacerbate. This study aims to provide a foundation of a system which can predict and deal with the building that has high risk of becoming vacant house through implementing a data driven vacant house prediction machine learning model. Methodologically, this study analyzes three types of machine learning model by differing the data components. First model is trained based on building register, individual declared land value, house price and socioeconomic data and second model is trained with the same data as first model but with additional POI(Point of Interest) data. Finally, third model is trained with same data as the second model but with excluding water usage and electricity usage data. As a result, second model shows the best performance based on F1-score. Random Forest, Gradient Boosting Machine, XGBoost and LightGBM which are tree ensemble series, show the best performance as a whole. Additionally, the complexity of the model can be reduced through eliminating independent variables that have correlation coefficient between the variables and vacant house status lower than the 0.1 based on absolute value. Finally, this study suggests XGBoost and LightGBM based machine learning model, which can handle missing values, as final vacant house prediction model.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.159-164
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• 2021

The COVID-19 pandemic has widely spread and has become a global problem. The pandemic has had a negative impact on most countries and on the global economic growth. In the real estate and housing market, the impact of the pandemic has directly disrupted the supply of raw materials and human resources. In case of Vietnam, the real estate and housing markets are increasingly becoming important contributors to Vietnam's economy, with a combined contribution of approximately 6% to the GDP of the country. Also, the pandemic has negatively affected the real estate in Vietnam. Using a sample data of 220 home, apartment and real estate buyers in the period of April 2020 to Apr 2021 in Nam Tu Liem and Cau Giay districts, Hanoi, the research results demonstrate that the area of the house, the number of beds, and the location of the land show a positive influence on the real estate price. Meanwhile, the distance from the land to the center of the district has a negative effect on the price, which means that the further away a land is from the center, lower is its price.

• Journal of Biosystems Engineering
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• v.14 no.1
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• pp.41-48
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• 1989

In order to provide a basic information for the government policy in the future, rice milling costs of Small Capacity Farm-house Rice Whiteners (SCFRW) were estimated by surveying and analyzing the major factors to affect their costs. Two types of SCFRW having one stage and two stage milling process and two rice varieties, Tong-il and Akibare, were considered for their cost estimation, respectively. Also, their costs were compared with those of Private Custom-work Mill in order to determine its economical feasibility. The results were concluded as follows; 1. Major factors to affect the costs were annual milling quantity, purchase price of SCFRW and grain milling loss. 2. Total milling costs of SCFRW were a function of annual milling quantity. These costs decreased rapidly as annual milling quantity increased. 3. In comparison of milling costs between single pass type and double pass type SCFRW, the former was more economical than the latter. 4. Also, in comparison of milling costs between two varieties by using SCFRW, Akibare was less expensive than Tong-il. 5. In comparison with private Custom-work Mill, both single pass and double pass type SCFRW were less economical than private Custom-work Mill. 6. In order to have an economical feasibility, SCFRW should be designed and developed to reduce its milling loss and purchase price.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.1-17
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• 2006

The purpose of this study was to find out the impact of a selection attribute on customer satisfaction and customer loyalty in the coffee house industry. Through the preceding research, author chose coffee quality, price value, interior and employee service quality as selection attributes as well as customer loyalty as intent to recommend and to revisit. For this study, data were collected from the pedestrians around Kangnam, Samsung, Seoul national university of education subway stations from July 12 to August 4, 2005. Questionnaires were distributed and, of 314 papers, only 300 were suitable for the statistical analysis. The findings of the research were as follows: First, four selections had an effect on customer satisfaction which influenced customer loyalty. Coffee quality was the most influential variable among the selection attributes, and came price value, and interior and employee service quality in that order. Second, intent to revisit was influenced directly by not only customer satisfaction but also intent to recommend. However, this study had such limitations that data used in this study were limited to relatively narrow area and four attributes were not enough to explain all situations of choosing coffee houses. Consequently, further studies are needed to include more variables and coffee houses' brand images.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.13-22
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• 2016

Remodeling of multi-family house (MFH) has emerged as a major issue in the construction industry. Many decision-makers are struggling to determine whether to conduct a remodeling because of insufficient information including standard or method for projecting the price of their facilities after remodeling works. In this context, this research has conducted for analyzing how the price of the MFH is shifted by remodeling works. To achieve this research goal, (i) fourteen MFH remodeling cases were collected and (ii) price variation for the collected cases was analyzed in order to figure out how remodeling work affects the price of MFH cases. Finally, this research suggested the factors determining price of the MFH, wherein remodeling work has been conducted. From the results of this research, it is expected that the decision-makers can understand what is the crucial factors for determining the price of their MFH when they plans remodeling, and further this research can be a corner stone for developing a model for predicting the price of MFH if remodeling would be performed.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.55-62
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• 2019

This study analyzed the relationship between housing price, purchase price, Gini coefficient, interest rate, and the employment, considering that the change in housing price was an important factor influencing macroeconomic variables and income inequality. The panel VAR model was constructed considering the panel data, and the Granger causality, Impulse response and Variance dispersion analysis were performed. As a result, when compared to before and after the global financial crisis, it was shown that the rent price had an effect on income inequality, but in the following period, both the rent price and the selling price affected the income inequality. And that it has a large impact on inequality. In addition, the causality between income inequality and employment rate, interest rate, and tax rate was confirmed. Therefore, it is expected that it will be a desirable policy to mitigate income inequality considering the influence of policy variables for economic activation including government real estate policy.

• Korean Journal of Construction Engineering and Management
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• v.15 no.2
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• pp.62-70
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• 2014

An apartment house, a private facility, is a house built for many persons to live independently in a building. An apartment house is a building where life damage can happen most in case of a safety accident due to insufficient inspections. However, formal inspections are being realized due to awareness shortage of managing bodies about safety inspection and low-price order-receiving of diagnosing enterprises via the lowest bidding method. This is because it is judged that remarkable costs are inputted in repairs and reinforcement such as maintenance of a structure and that there is a large possibility of human damage in case of a safety accident in a structure. So, this paper aims to derive the points to improve in the current criterion to execute an efficient detailed inspection. As its method, the design price and execution price situation of 66 buildings inspected in detail for recent 3 years for the class 2 facilities in Gwangju Metropolitan City and Jeonranam-do are examined and analyzed. The state2 object buildings to inspect are selected through this. And this paper aims to present the points to improve through the analysis of current problems by evaluating the detailed inspection report and the detailed inspection execution price calculation criterion for the selected 10 apartment houses.

• Korea Real Estate Review
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• v.24 no.1
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• pp.39-52
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• 2014

This study examines the degree of global co-movement & spillover effect among the housing price of ten major countries of OECD including Korea, based on the 3 hypothesis. The data used in this study is quarterly house price index of OECD countries from 1975 to 2012. VAR model is used to analyze the co-movement, and Granger causality methodology is used for the analysis of Spillover Effect. It is found that entire period of study is that the global house prices showed the co-movement, but the coefficient was weak. Since 2008 global financial crisis, the co-movement increased significantly and the adjusted R-square of this model increased 78% compared to the entire period (1975-2012). In general, all hypotheses in this study were significant, and the common shock hypothesis were most significant. In case of Korea, the degree of co-movement was weak compared to the other countries and spillover effect was independent since 2008.

• Land and Housing Review
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• v.5 no.4
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• pp.247-257
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• 2014

This study proposes a new housing need and demand assessment model centering on small-scale housing development projects and happy house development projects that reflected the recent changes in rental and small sized apartment centered public housing policies and development paradigms. The housing need and demand assessment model of public housing development projects consists of quantitative evaluation factors such as potential need indicator and demand pressure indicator and qualitative evaluation factors such as local condition indicator. The potential need indicators of small sized housing development projects are calculated by subtracting the stock of already-supplied constructed rental and purchased rental housings from the potential quantity of need drawn from the small regions such as -eup, -myeon, and -dong. In the potential need indicators of happy house development projects, the potential need is calculated from those who are expected to receive a happy house in the unit of -si, -gun, and -gu. In small-sized housing development projects, demand pressure indictors are the number and the proportion of those who opened a subscription deposit, the number of those who received basic livelihood security and the number of those who were patriots and veterans. The demand pressure indicators of the happy house development projects are stock ratio of small-sized houses, rate of rise in housing rent price, level of housing rent price, and rate of monthly rent house.

• Journal of the Korean Home Economics Association
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• v.36 no.11
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• pp.119-128
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• 1998

This study was designed to find tendencies of housing value orientation of the model steel house visitors. Questionnaires were collected in June, 1997, 1,550 in total, 508 cases from Seoul, 456 cases from Pohang, and 486 cases from Kwangyang. Data were analyzed in terms of housing value orientation, using statistical methods including frequencies, mean, percentages, chi-square test and multiple regression. The major findings are as follows; 1. The subjects were highly educated(64% of them were college graduates) with the monthly income over 2,000,000won(approximately $1,540). The average monthy income of the subjects in Seoul, about 4,000,000won($3,070), was much higher than that of other areas. Most of the subjects were condominium owners(72%), who preferred single detatched houses or town houses located in suburban areas. 2. Differences in general tendencies among the three regional groups were statistically significant. Most significantly, subjects living in Pohang regarded the reputation of the building construction company most importnat. Subjects of all three regional areas, especially in Pohang, emphasized investment value. The price of the steel house was regarded as very important by all the groups tested. The housing value orientation was analyzed in 3 aspects; (1) Facility.Plumbing.Structure(FPS), (2) Interior space formation.Design(ID) and (3) Developmental complex.Near Environment(DN). Interior environment level, stability of house structure, and finighing state of interiors were identified as the important factors in the area of FPS(p<.05). The Interior plan organization was the most important factor among ID. As for DN, rated importantly were educational facilities, green areas, convenience of commercial facilities within the developmental complex were rated importantly.