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Analysis of Characteristics and Land Use Regulation of Urban Growth Potential Area in Busan Metropolitan City

부산권 도시성장 잠재지역의 특성 및 토지이용규제 실태 분석

  • KIM, Ho-Yong (Dept. of Urban Planning and Engineering, Dong-A University) ;
  • KIM, Ji-Sook (Dept. of Urban Planning and Engineering, Dong-A University)
  • 김호용 (동아대학교 도시계획공학과) ;
  • 김지숙 (동아대학교 도시계획공학과)
  • Received : 2018.09.04
  • Accepted : 2018.09.27
  • Published : 2018.09.30

Abstract

Land use regulations introduced for rationalization of land use due to the diversification of socio-economic development, resulting in inconvenience to the people's economic life, have recently changed the paradigm due to deregulation. In this study, the potential areas for urban growth in the Busan area were derived by simulating using the CA model and spatial characteristics were analyzed along with land use regulated areas. The analysis examined whether the land use regulations were actually intended to curb urban growth and promote the efficiency of land use, or if there were other factors that could cause inconvenience to the people's lives. The analysis showed that the greenbelt zones in areas with high development pressure outside urban areas were acting as land use regulations, but there were multiple regulations on land use in many areas. Therefore, it is deemed that various approaches and reviews will be needed, including reconsideration of multiple regulations in areas with high urban growth potential, while maintaining the net function of land use regulations.

토지이용의 합리화를 위하여 도입된 토지이용규제는 사회경제적인 발전과 함께 복잡다기화 되면서 국민경제생활에 불편을 초래한다는 이유로 최근 규제 완화로 패러다임이 변화하고 있다. 이에 본 연구에서는 CA 모델을 이용하여 시뮬레이션 함으로써 부산권 도시성장의 잠재지역을 도출하고, 토지이용 규제지역과 함께 공간적 특성을 분석하였다. 분석을 통해 토지이용규제 제도가 실제로 도시성장을 억제하고 토지이용의 효율화를 도모하고 있는지, 또는 국민생활에 불편을 초래할 수 있는 다른 요인이 있는지를 검토하였다. 분석결과 도시외부의 개발압력이 높은 지역에 존재하는 개발제한구역은 토지이용규제라는 역할을 수행하고 있었지만, 많은 지역에서 토지이용에 대한 다중규제가 존재하는 것으로 나타났다. 따라서 순기능을 하고 있는 토지이용규제는 최대한 유지하면서, 도시성장 잠재력이 높은 지역에 존재하는 다중규제를 재고하는 등 다양한 접근과 검토가 필요할 것으로 사료된다.

Keywords

References

  1. Batty, M. 1997. Cellular automata and urban form: a primer. Journal of the American Planning Association 63(2):266-274. https://doi.org/10.1080/01944369708975918
  2. Jeong, J.J. 2001. Cellular automata modeling for analysis and prediction of urban growth in capital area. Ph.D. Thesis, Univ. of Seoul, Seoul, Korea.
  3. Jeong, Y.W. and S.S. Lee. 2010. A research on the reorganization of overlapped designations and similar deed restrictions in the zoning system. Journal of Korea Planners Association 45(7):31-45.
  4. Kang, Y.O. and S.H. Park. 2000. A study on the urban growth forecasting for the Seoul metropolitan area. Journal of the Korean Geographical Society 35(4):621-639.
  5. Kim, H.Y. 2016. Simulation of land use change by storylines of shared socio-economic reference pathways. Journal of the Korean Association of Geographic Information Studies 19(2):1-13. https://doi.org/10.11108/KAGIS.2016.19.2.001
  6. Kim, J.I. and C.H. Yeo. 2008. Measuring greenbelt policy effects through the urban growth prediction model. Journal of Korea Planners Association 43(3):211-233.
  7. Kim, S.J., S.S. Kim and D.K. Kim. 2013. The problems and improvements of land use regulation in Korea. The Korea Spatial Planning Review 78:91-104. https://doi.org/10.15793/kspr.2013.78..006
  8. Lee, S.H. and K.S. Oh. 2010. Analyzing the effect of greenbelt on urban growth and environmental pollution by cellular automata method. Journal of Korea Planners Association 45(3):193-208.
  9. Lee, S.J. 2010. A study on the land use restriction system for the environment conservation. Public Land Law Review 48:175-202.
  10. Li, X. and A.G.O. Yeh. 2000. Modelling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information System 14(2):131-152. https://doi.org/10.1080/136588100240886
  11. Onsted, J.A. and R.R. Chowdhury. 2014. Does zoning matter? A comparative analysis of landscape change in Redland, Florida using cellular automata. Landscape and Urban Planning 121:1-18. https://doi.org/10.1016/j.landurbplan.2013.09.007
  12. Seo, S.T., B.M. Choi, B.J. Lee, S.S. Lee and D.S. Choi. 2008. Land use rationalization plan of area and district. Urban Information Service 319:3-18.
  13. Statistic Korea : national indicator system (www.index.go.kr)
  14. Yun, J.M. 2002. A Study on the urban growth using fuzzy-AHP and cellular automata. Ph.D. Thesis, Pusan National Univ., Buan, Korea.
  15. Wu, F. 1998. Simland: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. International Journal of Geographical Information System 12(1):63-82. https://doi.org/10.1080/136588198242012