Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
권호 표지
DOI QR코드

DOI QR Code

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 -

공간단위 수정가능성 문제(MAUP)를 고려한 빈집 발생지역의 특성 분석 - 부산광역시 원도심 일대를 대상으로 -

  • 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)
  • 설유정 (동아대학교 도시계획.조경학과) ;
  • 김지윤 (울산연구원 미래도시연구실) ;
  • 김호용 (동아대학교 도시공학과)
  • Received : 2022.03.03
  • Accepted : 2022.03.21
  • Published : 2022.03.31
Download PDF
⟨ Previous Next ⟩

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.

최근 도시지역에서 급격하게 발생하는 빈집의 증가는 도시경관 악화, 안전사고 유발, 범죄 사고 발생, 위생 문제 등 다양한 문제들을 야기하고 있다. 통계청 장래인구 추계 결과에 의하면 우리나라 인구 및 가구의 증가율은 지속적으로 감소할 것으로 예상되며 빈집 발생의 증가로 이어질 가능성이 있다. 빈집 발생으로 인한 문제를 방치할 경우, 주거환경 악화와 같은 물리적 쇠퇴뿐만 아니라 사회·경제적으로 지역의 쇠퇴를 야기한다. 이를 해결하기 위해서는 지역적 특성 및 공간적 영향력의 존재를 고려한 국지적 차원에서의 빈집의 공간적 분포 특성을 파악할 필요성이 있다. 이에 본 연구에서는 전역적 공간적 자기상관을 측정하기 위해 Moran's I와 지리가중회귀모델(GWR)을 통해 빈집발생이 많은 부산광역시 원도심 일대를 중심으로 분석을 수행하였다. 또한, 공간 분석단위가 달라짐에 따라 공간분석의 결과값에 차이가 나타나는 공간단위 수정가능성에 관한 문제(MAUP)에 대한 평가를 수행하기 위해 읍면동과 집계구의 상이한 공간단위에 대한 빈집 발생 분포를 분석하였다. 분석결과, 부산광역시 원도심 일대의 읍면동별 빈집 발생은 공간적 이질성이 존재하였으며 공간분석단위를 달리함에 따라 빈집 발생의 공간분석 결과가 다르게 나타났다. 이에 빈집 발생의 정확한 분포 특성을 파악하기 위해서는 GWR 모델을 이용한 공간적 차원을 고려하여야 하며, 공간단위 수정가능성 문제(MAUP)에 대한 고려가 필요함을 시사한다.

Keywords

Acknowledgement

본 연구는 환경부 녹색복원 전문인력 양성사업으로 지원을 받아 수행한 과제입니다.

References

  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. https://doi.org/10.11108/KAGIS.2013.16.3.040
  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. https://doi.org/10.5392/JKCA.2015.15.10.150
  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. Jung, S.Y. and H.J. Jun. 2019. Exploring spatial dependence in vacant housing growth. Journal of Korea Planning Association 54(7):89-102. https://doi.org/10.17208/jkpa.2019.12.54.7.89
  7. 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.
  8. Kang, M.N. 2018. Policy for prevention, management and utilization of vacant houses. Korea Research Institute for Human Settelements Policy Brief 689:1-8.
  9. KOrea Statistical Korea(KOSIS). 2020. https://kosis.kr/index/index.do. (Accessed Ocober 08, 2022).
  10. 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).
  11. 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. https://doi.org/10.11108/KAGIS.2021.24.1.068
  12. 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. https://doi.org/10.17208/jkpa.2021.12.56.7.73
  13. 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.
  14. Lee, H.Y. and J.H. Shim. 2011. GIS : Geographic information system 2nd edition. Bubmonsa pp.397-420.
  15. 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.
  16. 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.
  17. 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. https://doi.org/10.11108/KAGIS.2013.16.1.067
  18. 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. https://doi.org/10.14249/eia.2014.23.1.39
  19. Statistical Geographic Information Service (SGIS). 2020. https://sgis.kostat.go.kr/view/index. (Accessed October 08, 2022).
  20. W.R. Tobler. 1970. A computer movie simulating urban growth in the detroit region.