FACTORS AND TENDENCIES OF HOUSING ABANDONMENT

The presence of abandoned housing reduces the quality of life of residents who remain in an area. Respondents in a national survey of the United States who report abandoned housing problems in their neighbourhood also report lower levels of neighbourhood satisfaction. In areas where abandoned housing is found, community services and neighbourhood conditions also tend to be rated low. The effects of abandonment, which is found in bigger cities and in areas of lower social standing, do not carry through to cause individuals to say they desire to move out of the neighbourhood. The idea of demolishing abandoned housing to reduce the problem is ratified, but abandonment is only one problem which must be addressed to improve the quality of life.

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Empty Neighborhoods: Using Constructs to Predict the Probability of Housing Abandonment

Housing Policy Debate ◽

10.1080/10511482.2013.788051 ◽

2013 ◽

Vol 23 (3) ◽

pp. 469-496 ◽

Cited By ~ 20

Author(s):

Victoria Chaney Morckel

Keyword(s):

Housing Abandonment

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

Urban Studies ◽

10.1177/0042098019852024 ◽

2019 ◽

Vol 57 (8) ◽

pp. 1749-1767 ◽

Cited By ~ 1

Author(s):

Youngmee Jeon ◽

Saehoon Kim

Keyword(s):

South Korea ◽

The Elderly ◽

Local Context ◽

Population Movement ◽

Development Plans ◽

Asian Context ◽

The City ◽

Push Factor ◽

Housing Abandonment

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.

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Housing Abandonment in the Urban Core

Journal of the American Institute of Planners ◽

10.1080/01944367408977488 ◽

1974 ◽

Vol 40 (5) ◽

pp. 321-332 ◽

Cited By ~ 33

Author(s):

George Sternlieb ◽

Robert W. Burchell ◽

James W. Hughes ◽

Franklin J. James

Keyword(s):

Urban Core ◽

Housing Abandonment

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

Urban Affairs Review ◽

10.1177/1078087417720303 ◽

2017 ◽

Vol 55 (3) ◽

pp. 772-799 ◽

Cited By ~ 4

Author(s):

Hye-Sung Han

Keyword(s):

Property Values ◽

Marginal Effect ◽

Threshold Effects ◽

Marginal Impact ◽

Abandoned Properties ◽

The Impact ◽

Housing Abandonment

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.

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