• Journal of the Korean Regional Science Association
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• v.34 no.2
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• pp.35-47
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• 2018

This research aims to examine the spatial patterns of vacant housings and the factors determining housing vacancy in Daegu using individual-level building DB. The results of the spatial pattern analysis showed a donut shaped-spatial concentration of vacant housings in the central areas of the city. The results of logistic regression analysis revealed that not only individual building characteristics, such as building area, number of floors, and building age, but also socio-economic characteristics of community, such as urban redevelopment district, number of adjacent vacancies, recent population change, and ratio of elderly, are important factors affecting housing vacancies.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.278-283
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• 2008

This paper aims to clarify physical characteristic of empty house and vacant floor in historic district on Cheongju. First, most empty houses are the timbered houses of 1 story, and it will be built before the 1969. And the building of a vacant floor has a common non-residential buildings of 4 stories, and there are many buildings of RC structure built in the 1980s. Second, when the situation of an empty house and a vacant floor was seen, there was most the second floor only by the number of room, but when seen from the ratio of the whole number of rooms, there were most the third floor and the fourth floor. Third, when the situation of a vacant floor and a vacant room was seen from use, there were most store, shop and office. Relevance with this as close as reduction of the population in the center of Cheongju is seen. Moreover, the grope of a method which can utilize this is required.

• 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 Society of Environmental Restoration Technology
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• v.23 no.2
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• pp.33-47
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• 2020

With population losses and stagnant or depressed economies, the local governments embrace shrinkage and accept having a significantly smaller population. Both the initial and ongoing causes of shrinkage hold dramatic effects on the city and its remaining residents. In this context, vacant land increases as an overabundance of unused infrastructure is demolished and municipalities become burdened with increasing maintenance costs of this land. The result is that vacant land often experiences minimal management relative to social norms and have chance to provide a setting for ecological processes with urban rightsizing strategy. Therefore, urban ecosystems undergo major shifts in structure and function. We need to better understand the possibilities of where and how much of houses and land will be abandoned to assist land planners and policymakers to mitigate conflict between optimal ecological and sociological outcomes. This article, therefore, aims to identify distributional characteristics of vacant houses and lands with case study of Mokpo. The study found and verified affecting factors of vacant houses and lands by type through the use of a Maxent model and spatial data that explained housing choice and preference theory. We can predict the vacancies with the spatial variables such as land price, the population ratio over 65, and the distance from security facility. Based on the analysis, the ways of managing housing and land vacancy for sustainable development and ecological restoration method are discussed.

• 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 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.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2003.11a
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• pp.229-234
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• 2003

The purpose of this study is to suggest basic data to establish policy directions for improvement on quality of rural housing in Korea. A literature survey were used fur study The contents of survey includes policy supports in rural Korea and rural America. The results of the study grasped the situations that the newly built and repair, a vacant house, landscape and welfare with the support of rural housing policy in Korea. Also rural affordable housing policy examined supports of RHS programs in USDA variously. Based on the results, some policy directions to rural housing and community were suggested.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.452-455
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• 2006

The purpose of this study is to investigate tendencies on land use by grasping the characteristics of changes of use at the borders of single-detached housing area for planning single-detached housing area in the future. It is divided the borders of detached housing areas into three types, educational facility, parks and green spaces, and apartment complex, and then analyzed the characteristics of each location after a field study. It is summarized as follows. First, warehouses and vacant sites were distributed in adjacent borders near parks and green areas. Second, there were stationery and flour-based meal stores in adjacent borders near educational facilities, suitable for students' interest and motion patterns. Third, there were realty dealers, food stores, and laundries which provide the dwellers with service in adjacent borders near multi-family housing.

• Journal of the Korean housing association
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• v.21 no.5
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• pp.1-11
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• 2010

Due to the growing interest in eco-friendly and sustainable design in the architectural and urban planning field, we are witnessing numerous projects in which old buildings are being reused. However, with the exception of domestic apartments, there hasn't been a systematic approach or policy regarding the reuse of specific building types. On the other hand, we were able to point out two public building types, dong-offices and primary schools, that are expected to be underused, with future needs for conversion. Because the two building types are public buildings, we believe that their conversion must address the needs of the society. In this study, we have chosen 'social integration' as the ultimate goal of reusing public buildings. Upon the conceptual model of 'Housing-Mixed Public Facility', which was produced in a previous study, we have added other core programs that could be adopted into the model. Then, we applied the improved model onto the two building types by producing conversion plans and introducing key planning techniques. During this process, we have found some regulations that would not allow the realization of some models. Therefore, we have suggested amendments to the related regulations.

• 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.