Examining Changes in Long‐Term Neighborhood Housing Vacancy during The 2011 to 2014 U.S. National Recovery

Immergluck, Dan

doi:10.1111/juaf.12267

Cited by 57 publications

(32 citation statements)

References 29 publications

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“…Immergluck (2015) used the data to examine housing market trends in large urban areas from 2011 to 2014 and suggested that there may be small incompatibilities in vacancy counts per year as differing persons were used to identify vacant addresses. Relatedly, Morckel (2014) suggests that while abandonment is a process and duration of vacancy is a good standard for identifying an abandoned structure, it can be uncertain that the structure is really abandoned or simply some form of temporary residence for an owner in many cases.…”

Section: Objectivesmentioning

confidence: 99%

Elasticity and urban vacancy: A longitudinal comparison of U.S. cities

Newman¹,

Gu²,

Kim³

et al. 2016

Cities

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Section: Objectivesmentioning

confidence: 99%

Elasticity and urban vacancy: A longitudinal comparison of U.S. cities

Newman¹,

Gu²,

Kim³

et al. 2016

Cities

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“…Low-income families face difficulty in purchasing houses or affording high rents, and low-income homeowners may encounter challenges in covering the maintenance costs for their houses or paying property taxes [21,22]. Thus, many studies have shown that vacant housing tends to increase in regions with a high percentage of low-income families [22,32,33]. Furthermore, the racial and ethnic composition of the region is also related to housing vacancy.…”

Section: Causes Of Housing Vacancymentioning

confidence: 99%

“…Furthermore, the racial and ethnic composition of the region is also related to housing vacancy. Case studies in the United States showed an increase in vacant housing in regions with a high percentage of non-white people [32,33].…”

Section: Causes Of Housing Vacancymentioning

confidence: 99%

A Multilevel Model Approach for Assessing the Effects of House and Neighborhood Characteristics on Housing Vacancy: A Case of Daegu, South Korea

Park

2019

Sustainability

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Previous studies on housing vacancy mostly focused on variables representing regional characteristics while overlooking the characteristics of individual houses. This is due to the limitations of available data. Using the house-level Housing Vacancy Database, this study aims to identify the spatial clustering pattern of vacant houses by examining single-family houses in Daegu, South Korea, and analyze the factors affecting housing vacancy. The Housing Vacancy Database built in this study provides accurate location information of vacant houses, making it possible to analyze the clustering pattern of vacant houses in a more detailed spatial unit. Furthermore, the Housing Vacancy Database considered various physical and neighborhood factors at the house level. The result of hot spot analysis showed that vacant houses were spatially concentrated in the city center. As a result of analyzing the factors affecting housing vacancy at the house level and neighborhood level using a multilevel model, it was found that the physical environment characteristics of individual houses were key factors affecting housing vacancy. Additionally, the probability of housing vacancy tended to increase when the land prices were higher, the houses were located in redevelopment zones, and there were more neighboring vacant houses nearby. Meanwhile, population decline and the ratio of old houses were the only significant variables at the neighborhood level. Thus, this study addresses that policies are needed to improve housing and physical environment characteristics that contribute to housing vacancy.

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“…Based on prior studies, these factors can be categorized into three: socio-economic factors, physical factors, and housing market factors. First, socio-economic factors include the population decline, low birth rate, ethnicity, low-income household, education level and employment rate [20][21][22]. Through multiple regression analysis, researchers found that population decrease, low birth rate, rate of low-income household and non-white people have positive correlation with vacant houses, while the education level and the employment rate have a negative correlation.…”

Section: Literature Reviewmentioning

confidence: 99%

Different Factors Affecting Vacant Housing According to Regional Characteristics in South Korea

Yoo

Kwon

2019

Sustainability

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In recent years, many cities in developed countries have struggled with housing vacancy. Empty homes are accompanied by social problems such as vandalism, arson, unsanitary environments, and collapse risk. Vacant houses also have negative effects on the value of nearby properties and their local communities. Accordingly, there have been various policy responses to tackle this problem. In spite of these efforts, however, the number of vacant houses continues to increase alongside a population decrease and imprudent developments. In South Korea, the number of vacant houses has increased since the 1990s, and central and local governments started developing plans and policies to resolve the problem from 2010. However, most of these policies have many similarities regardless of their differing regional conditions and contexts. Housing vacancy varies according to regions, its magnitude, surrounding environments or housing types, and thus calls for multilateral approaches. This article, therefore, aims to identify distributional characteristics of vacant houses in South Korea, and categorize them into three groups with regional contexts using cluster analysis. The study further found that there are differences in affecting factors of vacant houses by type through the use of a multiple regression model. Based on the analysis, the ways of managing housing vacancy for sustainable development are discussed.

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Examining Changes in Long‐Term Neighborhood Housing Vacancy during The 2011 to 2014 U.S. National Recovery

Cited by 57 publications

References 29 publications

Elasticity and urban vacancy: A longitudinal comparison of U.S. cities

Elasticity and urban vacancy: A longitudinal comparison of U.S. cities

A Multilevel Model Approach for Assessing the Effects of House and Neighborhood Characteristics on Housing Vacancy: A Case of Daegu, South Korea

Different Factors Affecting Vacant Housing According to Regional Characteristics in South Korea

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