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http://dx.doi.org/10.11108/kagis.2021.24.1.068

Analysis of Spatial Characteristics of Vacant Houses using Geographic Weighted Regression Model - Focus on Busan Metropolitan City -  

KIM, Ji-Yun (Dept. of Urban Planning and Landscape Architecture, Dong-A University)
KIM, Ho-Yong (Dept. of Urban Planning and Engineering, Dong-A University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.24, no.1, 2021 , pp. 68-79 More about this Journal
Abstract
The recent occurrence of vacant houses in urban areas is a remarkable social problem. One of the physical declines, the occurrence of vacant houses, accelerates various social and economic declines, such as a decline in population and a slump in the commercial district. Vacant houses have regional characteristics and spatial influence, and it is necessary to approach them locally in order to grasp the exact status of vacant houses. Therefore, in this study, the effect of urban decline on the occurrence of vacant homes was examined by region using global Moran's I and Geographic Weighted Regression(GWR) model. As a result of the analysis, there were spatial autocorrelation and heterogeneity in the occurrence of vacant houses in each eup·myeon·dong, Busan metropolitan city. In addition, there is a difference in the influence of each variable of urban decline on the occurrence of vacant houses, and even the same variable of urban decline has different effects on the occurrence of vacant houses in different regions. Therefore, it is expected that a more efficient vacant home management plan can be presented if the GWR model is used to analyze the coefficient values differentiated by region and categorize the occurrence of vacant houses.
Keywords
Vacant House; Urban Decline; Spatial Autocorrelation; Geographically Weighted Regression;
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1 Choi, Y., J.S. Lee and S. Kim. 2013. Effects of zoning on the regional economy eonsidering spatial autocorrelation. Journal of Korea Planning Association 48(4):12.
2 Fotheringham, A.S, C. Brunsdon and M. Charlton. 2002. Geographically Weighted Regression: The analysis of spatially varying relationshops. John Willey & Sons 6-61.
3 Jeon, Y.M. and S.H. Kim. 2016. The causes and characteristics of housing abandonment in an inner. Journal of The Urban Design Insitute of Korea 17(1):83-100.
4 Jung, S.Y. and H.J. Jeon. 2019. Exploring spatial dependence in vacant housing growth. Journal of Korea Planning Association 54(7):89-102.   DOI
5 Kim, J.H, I.S. Park and J.H. Jeong. 2011. Trip generation model based on geographically weighted regression. Journal of Korean Society of Transportation 29(2):104.
6 Kim, H.H., H.G. Choi, M.S. Lee and M.H. Jang. 2017. Spatial distribution of empty deserted houses and its implications on the urban decline and regeneration. Journal of The Korean Associvation of Regional Geographers 23(1):118-135.   DOI
7 Kim, S.D., C. Sin and M.H. Lee. 2018. A study on the analysis of the cause and importance of vacant housing using analytic network process(ANP). Journal of The Residential Environment Institute of Korea 16(2):93.
8 Kim, Y.W. 2020. 1st place in the city with the most vacant houses.. It lights up again. The Asia Business Daily. 2021.01. 18.
9 Kwon, Y.S. 2017. Three types and examples of vacant house utilization. Urban affairs 52(581):30-34.
10 KOrea Statistical Information Service(KOSIS). 2020. https://kosis.kr/index/index.do. (Accessed September 10, 2020).
11 Lee G.J., S.J. Hong and S.G. Go. 2015. A study on the current status of local commercial districts in Gangwon-do and development plans using GWR. The bank of Korea. 5(2):244-300.
12 Lee H.Y. and S.C. Noh. 2014. Advanced statistical analysis 2nd edition. Moonwoosa pp. 326.
13 Lee H.Y. and J.H. Shim. 2011. GIS : Geographic information system 2nd edition. Bubmonsa pp.397-420.
14 Noh, M.J. and S.J. Yoo. 2016. An study on the cause of abandoned vacant houses. Korea Real Estate Review 26(2):12.
15 Oh, Y.K., J.G. Kang and J.M. Kim. 2014. Analysis of regional characteristics that affect housing prices using a GWR model. Tax Accounting Research 40:1-17.   DOI
16 Park, S.H. 2016. A tentative approach for establishing the vacant house information management system of urban regeneration project. Journal of The Korean Cadastre Information Association 18(2):105.
17 Park, J.O., I.S. Choi and M.H. Na. 2016. A Study on the effects of air pollution on circulatory health using spatial data. Journal of Korean Society for Quality Management 44(3):680.
18 Sim. J.S., H.Y. Kim, K.W. Nam and S.H. Lee. 2013. Analysis of the characteristics of subway influence areas using a geographically weighted regression model. Journal of the Korean Association of Geographic Information Studies 16(1):67-79.   DOI
19 Yeom, Y.H. 2019. Examination of relationship between abandoned house and theft.violent crime with Geographically Weighted Regression Model. Korean Criminological Review 30(4):148.
20 Statistical Geographic Information Service(SGIS). 2020. https://sgis.kostat.go.kr/view/index. (Accessed September 10, 2020).
21 W. R. Tobler. 1970. A computer movie simulating urban growth in the detroit region. Economic Geography 46(2):236-237.   DOI