• 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.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.2
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• pp.53-61
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• 2022

In order to understand the physical condition and spatial deformation of houses in rural areas in Hodang Village, Ipjang-myeon, Cheonan-si, a rural area with a good settlement environment, physical characteristics and spatial deformation were identified. First, looking at the construction pattern of houses in rural areas, there have been many houses built since the 1990s, and the modernized spatial composition of urban houses appeared. Second, due to the nature of rural housing, work space and residential space are mixed, and it was analyzed that space is used through renovation to solve this problem. Third, Hodang Village was analyzed as an area with good living services, but as a result of the village survey, the proportion of vacant houses was high at 14 (42.4%). This study is conducting continuous rural housing research, rather than a temporary study on rural housing and vacant houses, based on the problems that have been drawn from previous research and existing fact-finding studies.

• Korea Real Estate Review
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• v.27 no.4
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• pp.21-34
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• 2017

In this study, we defined abandoned vacant housing, as well as analyzed where and how the vacancies occurred. The temporal range of this study is 2005 and 2010, while the spatial range is nationwide. The minimum unit of space for the analysis is city district. First, we suggested that in the rural areas, it is necessary to manage an aged detached housing, while in the urban areas, it is necessary to manage aged apartments in order to prevent a large amount of old apartment buildings from becoming an abandoned vacant houses. Second, we proposed to select and manage the priority area in the empty area management. Finally, in the areas where other vacant houses are populated, the abandoned housing problem should be discussed with different measures from a long-term point of view in terms of population movement, population decline, and aging population.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2003.11a
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• pp.221-227
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• 2003

The characteristics of Japanese housing stock is as follows. 1. It is predicted that population from 2010 and general household from 2015 will decrease. The aging speed in Japan is faster than several advanced nations. 2. Housing shortage has resolved from 1973. In 1998, dwelling number per household is 1.13 houses and vacant dwelling rate is 11.5 percents. 3. Dwelling level of rented dwelling is lower than owner occupied houses; for instance, floor area of the former is one third of the latter. As for a household of thirties, family type household lived in rented houses reached 60 percents, it reveals that the demand exceeds the supply. 4. Houses constructed before the new earthquake resistant standard enforced from 1981 year is the half of the whole, housing improvement is needed in the future. Future housing market is changed to practical use of housing stock. Consequently, expansion of multi-habitation used a vacant housing of city dwellers, activation of the used houses distribution, growth of dwelling reform market, and activation of the rented houses are expected.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.65-77
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• 2018

It is very important to understand the factors affecting the occurrence of vacant houses in research on them. The purpose of this study is to analyze the factors affecting the rural vacancy occurrence. This study set 121 research areas and selected eight independent variables (Aged house rate, housing transaction rate, house diffusion ratio, local extinction index, net migration rate, regional aging index, the ratio of the number of employees to population and financial independence rate) and one dependent variable (vacant house rate). As a result of the study, first, both Model 1 for the entire general agricultural fishing village area and Model 2 for the county (gun) area were statistically significant, there was no problem with the independence of residual. Second, local extinction index and aged house rate had a statistically significant positive (+) relationship in both Model 1 and Model 2. Third, diffusion ratio of house had a statistically significant positive (+) relationship only in Model 1, and housing transactions rate had a statistically significant negative (-) relationship in Model 2. The implications of the study were drawn as follows: First, the increase in the house diffusion ratio without growth in households and population suggests the increase of the probability of the vacancy occurrence in the area, and the higher the aged house rate, the higher the probability of the vacancy occurrence. Second, for the revitalization of housing transactions, it is necessary to have an investment inflow in the area for mid- to long-term development. Third, local extinction index has a significant relationship with vacant house rate, it is necessary to introduce a local revitalization policy from a long-term perspective for the permanence of the area.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.5
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• pp.1-13
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• 2020

The empty houses' problem is important in the local revitalization and local sustainability, and these phenomenon caused by various factors of the region. The population and housing census data are the most effective data available to study this phenomenon by small regions. In this study, logistic regression and multiple regression analysis were performed to understand the effects of population, household, and housing characteristics on empty houses using population and housing census data. Also, the scale and direction of the effect of each characteristic in large cities, small cities, and rural areas were compared. As results, there was a slight difference between cities and province regions in the district and housing characteristic variables. In the comparison of Eup-Myeon-Dong, the affected variables were different in the Dong and Myeon areas. The significance of this study is to examine the effect of the characteristics of population and housing on the vacant houses and to confirm that the factors affecting different regions.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.1
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• pp.40-54
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• 2023

The purpose of this study is to present implications using local government data, focusing on the occurrence of empty houses, one of the serious social problems emerging due to population extinction and aging. The subjects of the study were Mokpo-si, which has the highest percentage of empty houses in the country, and the spatial distribution status was identified by schematizing the status of empty houses by grade on a map through data from the local government's survey on empty houses. As a result of the survey on vacant houses, it was confirmed that 90% of empty houses in Mokpo City were included in the project district of the urban regeneration strategy plan underway in Mokpo City. Currently, the empty house maintenance project is difficult to proceed smoothly due to difficulties in purchasing empty houses and lack of budget for local governments, so in order for the project to proceed quickly, it is necessary to come up with a plan to promote the project in connection with the urban regeneration strategy plan in Mokpo.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.125-130
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• 2008

The new apartments has been rapidly built through the outskirts of Cheong-ju city since the latter half of 1980's. So, the population decreased in Seong-an dong and Jung-ang dong which are located in traditional urban area of Cheong-ju. Also, residential areas became obsolete and residential buildings happened to be vacant and empty. For urban rehabilitation, the city authorities will construct the high-rise complex housings with stores in the traditional urban area. We have doubts about whether the rapid change of new housing construction is right or not. Therefore, It is necessary to give a correct diagnosis of the present state from urban atrophy, keeping this area sustainable with traditionality and locality. This study is to examine and analysis in detail distribution patterns and habitable floor area by house types in Seong-an dong and Jung-ang dong which are located in traditional urban area of Cheong-ju. The result are as follows; the residential buildings as the 2,680 houses(including detached and apartment houses) and the 804 shop houses are distributed with 3,484(67%) of the whole 5,183 buildings and form 28percent of the whole floor areas. A distribution and area ratio of houses to shop houses is irrespectively about 76 : 24percent. The average floor area is represented with $66m^2$/household and $28.5m^2$/person. It shows that a hollowing out of urban area has caused the surplus of residential buildings and floor areas.

• Journal of architectural history
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• v.28 no.6
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• pp.19-30
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• 2019

This study explores the application aspect of The detailed rules of Census (1896) through the change of Kan numbers in Gyeonpyeong-bang. Although Gyeonpyeong-bang was a high-priority area because of its location, it was difficult to trace the operation of the urban situation due to lack of data. This study is focusing on restoring space and society in the Gyeonpyeong-bang using the information on the type of houses and the number of Kan listed in the family register of Hanseong-bu. The detailed rules of Census sets out provisions for the family registry and the rules of making Tong. Especially when it comes to the rules of making Tong, this rule deals with the code of making ten Hos into one Tong. This study was conducted by dividing the status of the Tong into three types: uncompleted Tong, exceeded Tong without vacant Ho number, and exceeded Tong with the vacant Ho number. Since these three types of Tong are in the process of change towards the complete Tong with 10 Hos, they were thought to be able to demonstrate the specific application of the rules. This study will be meaningful as a case study that expands the point of existing research on the Tong making rules, which was not focused relatively on restoring urban conditions at that time, by looking at the changes in exceptions that deviated from the Sipgajaktong rule.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.237-254
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• 2020

Housing vacancies have become a major issue in urban areas, there have been many efforts to address this issue at the national and local levels. The purpose of this paper is to investigate the factors contributing to housing vacancies in old town Incheon in South Korea. In particular, the research focuses on examining the effects of multiple levels of factors on housing vacancies in a comprehensive way; the three levels of factors were identified with a literature review including housing (Level 1), Neighborhood (Level 2), and Region (Level 3). A multi-level logistic regression model was used to examine the relationship between 13 factors in three spatial levels and housing vacancies. As a result, the factors in all three levels were able to explain housing vacancies including site area and shape, proximity to major roads (Level 1), ratio of houses in designated urban renewal area and slope (Level 2), and ratio of the elderly living alone, land price, changes in land price and ratio of new houses (Level 3). These results show that the combination of the physical inferiority of the housing site and the neighborhood environment and the economic and social vulnerability of the region is likely to increases the number of vacant houses. This study also suggested that a multi-dimensional policy strategy is needed to solve the problem of housing vacancies, and urban policies, such as supplying new housing or urban renewal area designation, should be carefully implemented in a way not to create housing vacancies.