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...
Main Authors: | , |
---|---|
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 |
id |
doaj-2443afbdbd674a539de0198d0a2fc9fd |
---|---|
record_format |
Article |
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 |
_version_ |
1717368247300390912 |