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. Fir...

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Main Authors: Heesun Joo, Soyeong Lee
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/18/8576
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spelling doaj-2443afbdbd674a539de0198d0a2fc9fd2021-09-25T23:40:59ZengMDPI AGApplied Sciences2076-34172021-09-01118576857610.3390/app11188576Spatial Analysis of Abandoned Houses and Their Influencing Factors in South KoreaHeesun Joo0Soyeong Lee1Department of Urban Engineering, Gyeongsang National University, Jinju-si 52828, KoreaDepartment of Urban Engineering, Gyeongsang National University, Jinju-si 52828, KoreaThe 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.https://www.mdpi.com/2076-3417/11/18/8576abandoned housesspatial characteristics of abandoned housesenvironmentally vulnerable places
collection DOAJ
language English
format Article
sources DOAJ
author Heesun Joo
Soyeong Lee
spellingShingle Heesun Joo
Soyeong Lee
Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea
Applied Sciences
abandoned houses
spatial characteristics of abandoned houses
environmentally vulnerable places
author_facet Heesun Joo
Soyeong Lee
author_sort Heesun Joo
title Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea
title_short Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea
title_full Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea
title_fullStr Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea
title_full_unstemmed Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea
title_sort spatial analysis of abandoned houses and their influencing factors in south korea
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-09-01
description 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.
topic abandoned houses
spatial characteristics of abandoned houses
environmentally vulnerable places
url https://www.mdpi.com/2076-3417/11/18/8576
work_keys_str_mv AT heesunjoo spatialanalysisofabandonedhousesandtheirinfluencingfactorsinsouthkorea
AT soyeonglee spatialanalysisofabandonedhousesandtheirinfluencingfactorsinsouthkorea
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