Development of an Optimization Technique for a Potential Surface of Spatial Urban Growth Using Deterministic Modeling Methodology
Publication: Journal of Urban Planning and Development
Volume 135, Issue 2
Abstract
This study developed the weighted scenario method (WSM) using the analytic hierarchical process (AHP) method that can optimize the weighting value for multiple criteria to make a grid-based potential surface. The potential surface has been used to simulate urban expansion using distributed cellular automata models and to generate land-use planning as basic data. This study formulated the WSM-AHP method mathematically and applied it to the test region, Suwon City, which is located in the south of Seoul, Korea, with time series land-use maps of 1986 and 1996. The WSM-AHP method generates a potential map for each pair of weighting value for all criteria, one of which is weighted with a high weighting value. The others use a low weighting value, considering that the summation for all criteria weighting values should be “1.” The potential change rate to the step of the weighted scenario for the weighting value of criteria is standardized like the AHP intensity matrix in this study. From the standard potential change rate, the WSM-AHP intensity matrix is completed, and then the optimal weighting value is calculated from the maximum eigenvector of the WSM-AHP matrix, according to the new WSM-AHP method developed in this study. The applied results of the new method showed that the optimal weighting value from WSM-AHP is more reasonable than the general AHP specialists’ evaluation for the weighting value. This study also analyzed the sensitivity of the WSM-AHP method according to a variation of nonlinear exponents for accessibility criteria, which are used to make urbanization potential maps with the optimal weighting value for multiple criteria in the grid-based geographic information system technique. This study tried also to develop WSM-AHP2, which is simplified by using a ranking of the potential value for each scenario. The results of this study showed that WSM-AHP and simplified WSM-AHP2 can be used to generate the optimal potential maps for land-use planning in the urban fringe area.
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References
Allen, J., and Lu, K. (2003). “Modeling and prediction of future urban growth in the Charleston region of South Carolina: A GIS-based integrated approach.” Conservation Ecology, 8(2), 2, ⟨http://www.consecol.org/vol8/iss2/art2⟩.
Batty, M., and Longley, P. A. (1986). “The fractal simulation of urban structure.” Environment and Planning A, 18, 1143–1179.
Batty, M., and Longley, P. A. (1987). “Fractal-based description of urban form.” Environ. Plan. B: Plan. Des., 14, 123–134.
Batty, M., Longley, P., and Fotheringham, S. (1989). “Urban growth and form: Scaling, fractal geometry, and diffusion-limited aggregation.” Environ. Plan. B: Plan. Des., 21, 1447–1472.
Batty, M., and Xie, Y. (1994). “From cells to cities.” Environ. Plan. B: Plan. Des., 21, s31–s48.
Brown, F. E., and Johnson, J. H. (1985). “An interactive computer model of urban development: The rules governing the morphology of mediaeval London.” Environ. Plan. B: Plan. Des., 12, 377–400.
Deadman, P., Brown, R. D., and Gimblet, H. R. (1993). “Modeling rural residential settlement patterns with cellular automata.” J. Environ. Manage., 37, 147–160.
Deal, M. B., and George, V. (2008). “The LEAM model.” ⟨http://www.leam.uiuc.edu/leam/⟩.
Erickson, B., and Lloyd-Jones, T. (1997). “Experiments with settlement aggregation models.” Environ. Plan. B: Plan. Des., 24, 903–928.
Himiyama, Y. (1999). “Land use/cover change in north-east China.” Land use for global environmental conservation (LU/GEC), K. Otsubo, ed., Center for Global Environmental Research, 92–98.
Kim, D. S. (2007). “Location modeling of population and land-use change in rural area by new expressway.” J. Urban Plann. Dev., 133(3), 201–210.
Kim, D. S., and Chung, H. W. (2005). “Spatial diffusion modeling of new residential area for land-use planning of rural villages.” J. Urban Plann. Dev., 131(3), 181–194.
Kim, D. S., Mizuno, K., and Kobayashi, S. (2003). “Analysis of urbanization characteristics causing farmland loss in rapid growth area using GIS and RS.” Int. Soc. Paddy and Water Environ. Eng., 1(4), 189–199.
Landis, J. D. (1995). “Imagining land use futures: Applying the California urban futures model.” J. Am. Plan. Assn., 61, 438–457.
Leao, S., Bishop, I., and Evans, D. (2004). “Simulating urban growth in a developing nation’s region using a cellular automata-based model.” J. Urban Plann. Dev., 130(3), 145–158.
Rawashdeh, S. A., and Saleh, B. (2006). “Satellite monitoring of urban spatial growth in the Amman Area, Jordan.” J. Urban Plann. Dev., 132(4), 211–216.
Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation, McGraw-Hill, New York.
Suen, I. S. (2005). “Residential development pattern and intraneighborhood infrastructure provision.” J. Urban Plann. Dev., 131(1), 1–9.
Wang, F., and Zhou, Y. (1999). “Modeling urban population densities in Beijing 1982–1990: Suburbanization and its causes.” Urban Stud., 36(2), 271–287.
White, R., and Engelen, G. (1993). “Cellular automata and fractal urban form: A cellular modeling approach to the evolution of urban land-use patterns.” Environment and Planning A, 25, 1175–1199.
Wu, F. (1998). “SimLand: A prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules.” Int. J. Geograph. Inf. Sci., 12(1), 63–82.
Wu, F., and Webster, C. J. (1998). “Simulation of land development through the integration of cellular automata and multi-criteria evaluation.” Environ. Plan. B: Plan. Des., 25, 103–126.
Xu, J., and Lathrop, R. G. (1995). “Improving simulation accuracy of spread phenomena in a raster-based geographic information system.” Int. J. Geogr. Inf. Syst., 9(2), 153–168.
Yeh, A. G., and Li, X. (1998). “Sustainable land development model for rapid growth areas using GIS.” Int. J. Geograph. Inf. Sci., 12(2), 169–189.
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Published In
Journal of Urban Planning and Development
Volume 135 • Issue 2 • June 2009
Pages: 74 - 85
Copyright
© 2009 ASCE.
History
Received: Feb 4, 2008
Accepted: Sep 11, 2008
Published online: May 15, 2009
Published in print: Jun 2009
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