Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea

The number of abandoned houses is rapidly growing across South Korea. The increasing number of abandoned houses is directly linked to a wide range of problems in communities, such as apprehension about crimes. This study aimed to analyze the variables that affect housing abandonment empirically. First, we analyzed the status of housing abandonment in various regions based on the addresses of the abandoned houses. Second, we identified the spatial characteristics of abandoned houses through spatial autocorrelation analysis. Third, we selected variables based on the literature review and analyzed the factors affecting housing abandonment through spatial regression analysis. Lastly, we aimed to explore the correlation between regional characteristics and the occurrence of housing abandonment, and to derive the factors influencing housing abandonment. This study found that abandoned houses were more likely to occur mainly in areas with environmentally vulnerable features. In this study, neighborhood environmental factors that promoted the occurrence of abandoned houses were derived by considering the neighborhood-level unit of analysis.

Housing abandonment in shrinking cities of East Asia: Case study in Incheon, South Korea

Despite growing signs of urban shrinkage in countries such as Korea, Japan and China, few studies have examined the generalisable pattern of urban shrinkage and its relationship to the characteristics of housing abandonment in the East Asian context. This study explores five major paths that may explain the emergence of vacant houses in declining inner-city areas, based on empirical observations in the city of Incheon, South Korea. The paths are: (1) strong government-led new built-up area development plans (pull factor for population movement); (2) delay and cancellation of indiscriminate redevelopment projects (push factor for population movement); (3) initial poor development and concentration of substandard houses; (4) aging of the elderly population; and (5) the outflow of infrastructure and services. These paths, also found in Japan or China, are expected to be combined in a local context, leading to more serious housing abandonment. This study suggests that it is important to take appropriate countermeasures based on the identification of the paths causing vacant houses.

Exploring Threshold Effects in the Impact of Housing Abandonment on Nearby Property Values

Most research examining the impact of distressed properties on nearby property values has assumed that each additional distressed property has the same marginal effect on nearby property values as the prior distressed property had. Scholars have suggested that there could be threshold effects in the impact of distressed properties, yet no research has explored this issue. Therefore, this research explores the presence of threshold effects in the impact of housing abandonment on nearby property values in Baltimore, Maryland, from 1991 to 2010. This research finds that the magnitude of the impact of housing abandonment does not increase proportionally to the number of nearby abandoned properties. Specifically, it finds that the marginal impact on nearby property values increases significantly when the number of abandoned properties within 250 ft. increases by more than two. The research also finds that the marginal impact drops significantly when the number of abandoned properties within 250 ft. increases by more than 14.