Deterministic Optimal Simulation of Spatial Growth Form for Urbanized Area Using CA Model and Simplified WSM-AHP Techniques

CA기법과 WSM-AHP 간편법을 이용한 도시확산의 결정론적 최적 모의

  • Kim, Dae-Sik (Dept. of Rural Engineering, College of Agri. & Life Sciences, Chungnam Nat'l Univ.)
  • 김대식 (충남대학교 농업생명과학대학 생물자원공학부)
  • Published : 2008.06.30

Abstract

This study aims to analyze the sensitivity of WSM(weighted scenario method)-AHP method according to variation of nonlinear exponent for accessibility criteria, which are used to make urbanization potential maps with the optimal weighting value for multiple criteria in grid-based GIS technique. Besides this study tried to develop WSM-AHP2 which is simplified by using rank of the potential value for each scenario. The two methods were applied to the test area, Suwon city located south area of Seoul, with time series land-use maps of 1986 and 1996. The evaluation system of urbanization potential have 7 criteria including 6 accessibility criteria. The results of WSM-AHP2, the optimal weighting values and their corresponding potential maps, have almost similar with those of WSM-AHP. In the application of CA(cellular automata) model for expansion of urbanized area using the three potential maps by WSM-AHP, WSM-AHP2, and specialists's AHP evaluation, it also showed that the accuracy of simulation for actual urban area is the highest in the potential map of WSM-AHP, followed by WSM-AHP2 and specialists's AHP evaluation. From the results of this study, WSM-AHP and simplified WSM-AHP2 will be used to generate the optimal potential maps for land-use planning in urban fringe area.

Keywords

References

  1. Batty, M. and P. A. Longley, 1986, The fractal simulation of urban structure, Environment and Planning A, vol. 18 : 1143-1179 https://doi.org/10.1068/a181143
  2. Batty, M. and P. A. Longley, 1987, Fractal-based description of urban form, Environment and Planning B: Planning and Design, vol. 14 : 123-134 https://doi.org/10.1068/b140123
  3. Batty, M., P. Longley, and S. Fotheringham, 1989, Urban growth and form: scaling, fractal geometry, and diffusion-limited aggregation, Environment and Planning B: Planning and Design, vol. 21 : 1447-1472
  4. Batty, M. and Y. Xie, 1994, From cells to cities, Environment and Planning B: Planning and Design, vol. 21 : s31-s48 https://doi.org/10.1068/b21s031
  5. Brown, F. E. and J. H. Johnson, 1985, An interactive computer model of urban development: The rules governing the morphology of mediaeval London, Environment and Planning B: Planning and Design, vol. 12 : 377-400 https://doi.org/10.1068/b120377
  6. Deadman, P., R. D. Brown and H. R. Gimblet, 1993, Modeling rural residential settlement patterns with cellular automata, J. of Environmental Management, 37 : 147-160 https://doi.org/10.1006/jema.1993.1011
  7. Erickson, B. and T. Lloyd-Jones, 1997, Experiments with settlement aggregation models, Environment and Planning B: Planning and Design, vol. 24 : 903-928 https://doi.org/10.1068/b240903
  8. Himiyama, Y., 1999, Land Use/Cover Change in North-East China, In: K. Otsubo (Editor), Land Use for Global Environmental Conservation (LU/GEC), Center for Global Environmental Research, pp. 92-98
  9. Jeong, J. J., C.M. Lee and Y. I. Kim, 2002, Developments of cellular automata model for the urban growth, Journal of Korea Planners Association, 37(1) : 27-44
  10. Kim, D. S., 2003, Analysis of land conversion characteristics in process of farmland loss and urbanization by distance from center of city using detailed digital land use - With representative big cities and their fringe areas in Japan -, Journal of Korean Society of Rural Planning, 9(1) : 65-75
  11. Kim, D. S. and H. W. Chung, 2004, Development of a potential evaluation method for urban expansion using GIS and RS technologies, Journal of Korean Society of Rural Planning, 10(3) : 41-51
  12. Kim, D. S. and H. W. Chung, 2004, Spatial simulation of urban expansion area using GIS and CA technologies, Journal of Korean Society of Rural Planning, 10(4) : 9-18
  13. Kim, D. S. and H. W. Chung, 2005, Spatial Diffusion Modeling of New Residential Area for Land-Use Planning of Rural Villages, ASCE, J. of Urban Planning and Development, 131(3) : 181-194 https://doi.org/10.1061/(ASCE)0733-9488(2005)131:3(181)
  14. Kim, D. S., 2008, Estimating optimal potential surface for spatial expansion of built-up area by formulating WSM-AHP method, Journal of Korean Society of Agricultural Engineers, 50(3) : 115-138 https://doi.org/10.5389/KSAE.2008.50.3.091
  15. Wang, F. and Y. Zhou, 1999, Modelling urban population densities in Beijing 1982-1990: Suburbanization and its causes, Urban studies, 36(2) : 271-287 https://doi.org/10.1080/0042098993600
  16. White, R. and G. Engelen, 1993, Cellular automata and fractal urban form: A cellular modelling approach to the evolution of urban land-use patterns, Environment and Planning A, vol. 25 : 1175-1199 https://doi.org/10.1068/a251175
  17. 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 Science, 12(1) : 63-82 https://doi.org/10.1080/136588198242012
  18. Wu, F. and C. J. Webster, 1998, Simulation of land development through the intergration of cellular automata and multicriteria evaluation, Environment and Planning B: Planning and Design, vol. 25 : 103-126 https://doi.org/10.1068/b250103
  19. Xu, J. and R. G. Lathrop, 1995, Improving simulation accuracy of spread phenomena in a raster-based geographic information system, International Journal of Geographical Information Systems, 9(2) : 153-168 https://doi.org/10.1080/02693799508902031
  20. Yeh, A. G. and X. Li, 1998, Sustainable land development model for rapid growth areas using GIS, International Journal of Geographical Information Science, 12(2) : 169-189 https://doi.org/10.1080/136588198241941