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http://dx.doi.org/10.22640/lxsiri.2020.50.2.237

Investigating Drivers of Housing Vacancy in Old Town Incheon using Multi-level Analysis  

Lee, Da-Ye (Urban Research Division, Korea Research Institute for Human Settlements)
Publication Information
Journal of Cadastre & Land InformatiX / v.50, no.2, 2020 , pp. 237-254 More about this Journal
Abstract
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.
Keywords
vacant housing; drivers of housing vacancy; multi-level model; logistic regression model; old town Incheon;
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Times Cited By KSCI : 8  (Citation Analysis)
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