Browse > Article
http://dx.doi.org/10.11108/kagis.2022.25.1.120

Analysis of Spatial Characteristics of Vacant House in Consideration of the Modifiable Areal Unit Problem (MAUP) - Focused on the Old Downtowns of Busan Metropolitan City -  

SEOL, Yu-Jeong (Dept. of Urban Planning and Landscape Architecture, Dong-A University)
KIM, Ji-Yun (ULSAN Research Instltute Future City Research Division)
KIM, Ho-Yong (Dept. of Urban Planning and Engineering, Dong-A University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.25, no.1, 2022 , pp. 120-132 More about this Journal
Abstract
Recently, the rapid increase in vacant houses in urban areas has caused various problems such as worsening urban landscape, causing safety accidents, crime accidents, and hygiene problems. According to the Statistics Korea Future Population Estimation results, the growth rate of Korean population and households is expected to continue to decrease, which is likely to lead to an increase in the occurrence of vacant houses. If the problem caused by the occurrence of vacant houses is neglected, it causes not only a physical decline such as a deterioration of the residential environment but also a social and economic decline. In order to solve this problem, it is necessary to grasp the spatial distribution characteristics of vacant houses at the local level considering the existence of regional characteristics and spatial influence. Therefore, in this study, in order to measure global spatial autocorrelation, the analysis was conducted centering on the old downtown area of Busan, where there are many vacant houses through Moran's I and Geographically Weighted Regression(GWR). In addition, the distribution of vacant houses in different spatial units in Eup_Myeon_Dong and Census was analyzed to evaluate the possibility of Modifiable Areal Unit Problem(MAUP), which differ in the results of spatial analysis as the spatial analysis units change. As a result of the analysis, the occurrence of vacant houses by Eup_Myeon_Dong in the old downtown area of Busan had spatial heterogeneity, and the spatial analysis results of vacant houses were different as the spatial analysis units were different. Accordingly, in order to understand the exact distribution characteristics of vacant house occurrence, spatial dimensions using the GWR model should be considered, and it is suggested that consideration of the MAUP is necessary.
Keywords
Vacant House; Spatial Autocorrelation; Geographically weighted Regression; Modifiable Areal Unit Problem;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Cho, I.H. 2010. A study on spatial effects in MAUP : with a focus on scale and zoning effects. Master Thesis, Korea National University of Education. Korea. 144pp.
2 Choi. D.J. and Y.C. Suh. 2013. A study on the exploratory spatial data analysis of the distribution of longevity population and the scale effect of the Modifiable Areal Unit Problem(MAUP). Journal of the Korean Association of Geographic Information Studies 16(3):40-53.   DOI
3 Cheong, J.S. and J.H. Park. 2015, Test of the scale effect of MAUP in crime study: analyses of sex crime using nation-wide data of eup-myon-dong and si-gun-gu, The Journal of the Korea Contents Association, 15(10):150-159.   DOI
4 Fotheringham, A.S, C. Brunsdon and M. Charlton. 2002. Geographically Weighted Regression: The analysis of spatially varying relationshops. John Willey & Sons 6-61.
5 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.
6 Kim, J.Y. and H.Y. Kim. 2021. Analysis of spatial characteristics of vacant houses using geographic weighted regression model - Focus on Busan metropolitan city -. Journal of the Korean Association of Geographic Information Studies 24(1):68-79.   DOI
7 Lee, S.I. 1999. The delineation of function regions and modifiable areal unit problem. The Journal of The Korean Association of Geographic and Environmental Education 7(2):757-783.
8 Park, S.N. 2018. The local characteristics of empty homes in deprived areas and implications for revitalizing empty homes: Focusing the perception of residents and local coordinators. Journal of The Urban Design Insitute of Korea 19(1):5-20.
9 Kang, M.N. 2018. Policy for prevention, management and utilization of vacant houses. Korea Research Institute for Human Settelements Policy Brief 689:1-8.
10 Sim, J.S., J.S. Kim and S.H. Lee. 2014. Local analysis of the spatial characteristics of urban flooding areas using GWR. Korean Society Of Environmental Impact Assessment 23(1):39-50.   DOI
11 W.R. Tobler. 1970. A computer movie simulating urban growth in the detroit region.
12 Statistical Geographic Information Service (SGIS). 2020. https://sgis.kostat.go.kr/view/index. (Accessed October 08, 2022).
13 Lee, H.Y. and J.H. Shim. 2011. GIS : Geographic information system 2nd edition. Bubmonsa pp.397-420.
14 KOrea Statistical Korea(KOSIS). 2020. https://kosis.kr/index/index.do. (Accessed Ocober 08, 2022).
15 KOrea Statistics Information Service(KOSTAT). 2016. http://kostat.go.kr/assist/synap/preview/skin/miri.html?fn=e50371391704148726234304&rs=/assist/synap/preview. (Accessed February 16, 2022).
16 Kim, K.Y. 2011. Effects of the Modifiable Areal Unit Problem(MAUP) on a spatial interaction model. Journal of the Korean Geographical Society 46(2):197-211.
17 Jung, S.Y. and H.J. Jun. 2019. Exploring spatial dependence in vacant housing growth. Journal of Korea Planning Association 54(7):89-102.   DOI
18 Kamata, Yoko and J.E. Kang. 2021. A study on the occurrence, persistence, and reuse of vacant houses in deteriorated high-density residential areas of old downtowns of large cities : Focused on Ami-dong and Chojang-dong in Busan. Korea Planning Association 56(7):73-86.   DOI
19 Lee, Y.M., P. Kwon, K.Y. Yun and H. Yong. 2016. A study on scale effects of the MAUP according to the degree of spatial autocorrelation - Focused on LBSNS data-. Journal of the Korean Society for Geospatial Information Science 24(1):25-33.
20 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