Spatial Diffusion Modeling of New Residential Area for Land-Use Planning of Rural Villages
Publication: Journal of Urban Planning and Development
Volume 131, Issue 3
Abstract
In this paper, a spatial diffusion model that can be applied to village development projects was developed with the expansion of a rural village taken into consideration, from the viewpoint of practical application with cellular automata techniques. The model determines and allocates a new built-up area required for the expansion of existing villages. Cellular automata and land suitability analysis methods were combined in the model, which uses grid data from geographic information systems. Probability of land use change for optimizing the development area was determined using a land suitability analysis method based on six criteria, which include the slope, drainage characteristic, and aspect of land and the distances from a road, stream, and village center. Weighting values of these criteria were quantified by an analytic hierarchy process method. Model tests for the simulation of three types of village expansion—an isolation village, a village with a horizontal road, and a village with a nodal point of cross road—showed results that reasonably agreed with the general location theory of urban land. Model applicability to a test village was also evaluated. The six parameters of criteria were calibrated based on the changes in land use data of the test village between 1973 and 1980, through sensitivity analysis for all parameters by a Kolmogorov-Smirnov test method. Simulated and observed results of village shape in a land use map from 1992 showed good similarities with each other through a morphology verification method. The model was also applied to the simulation of spatial changes according to three scenario plans, which enabled us not only to evaluate the spatial expansion of the village according to boundary conditions of the model, but also to simulate the village’s land use planning.
Get full access to this article
View all available purchase options and get full access to this article.
References
Batty, M., and Longley, P. A. (1986). “The fractal simulation of urban structure.” Envir. Plan. 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. (1994a). “From cells to cities.” Environ. Plan. B: Plan. Des., 21, 31–48.
Batty, M., and Xie, Y. (1994b). “Modelling inside GIS. Part 1: Model structures, exploratory spatial data analysis, and aggregation.” Int. J. Geogr. Inf. Syst., 8(3), 291–307.
Bright, E. M. (1992). “The “ALLOT” model: A PC-based approach to siting and planning.” Comput. Environ. Urban Syst., 16(3), 435–451.
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.
Chung, H. W., Park, B. T., Lee, J. J., and Choi, J. Y. (1995). “A study on rural planning. 2: Using spatial analysis method of GIS.” Journal of The Korean Society of Rural Planning, 1(2), 43–51, (in Korean).
Chuvieco, E. (1993). “Integration of linear programming and GIS for land-use modelling.” Int. J. Geogr. Inf. Syst., 7(1), 71–83.
Davidson, D. A., Theocharopoulos, S. P., and Bloksma, R. J. (1994). “A land evaluation project in Greece using GIS and based on Boolean and fuzzy set methodologies.” Int. J. Geogr. Inf. Syst., 8(4), 369–384.
Deadman, P., Brown, R. D., and Gimblet, H. R. (1993). “Modelling rural residential settlement patterns with cellular automata.” J. Environ. Manage., 37, 147–160.
Diamond, J. T., and Wright, J. R. (1988). “Design of an integrated spatial information system for multiobjective land-use planning.” Environ. Plan. B: Plan. Des., 15, 205–214.
Environmental Systems Research Institute (ESRI). (1991). ARC command reference, Redlands, Calif.
Erickson, B., and Lloyd-Jones, T. (1997). “Experiments with settlement aggregation models.” Environ. Plan. B: Plan. Des., 24, 903–928.
Jaarsma, C. F. (1997). “Approaches for the planning of rural road networks according to sustainable land use planning.” Landscape and Urban Planning, 39, 47–54.
Nijkamp, P., and Scholten, H. J. (1993). “Spatial information systems: Design, modelling, and use in planning.” Int. J. Geogr. Inf. Syst., 7(1), 85–96.
Schuur, J. (1994). “Analysis and design in computer-aided physical planning.” Environ. Plan. B: Plan. Des., 21, 97–107.
Skanes, H. M., and Bunce, R. G. H. (1997). “Directions of landscape change (1741–1993) in Virestad, Sweden—Characterised by multivariate analysis.” Landscape and Urban Planning, 38, 61–75.
Sui, D. Z. (1992). “A fuzzy GIS modelling approach for urban land evaluation.” Comput. Environ. Urban Syst., 16, 101–115.
Takeyama, M., and Couclelis, H. (1997). “Map dynamics: Integrating cellular automata and GIS through Geo-Algebra.” Int. J. Geograph. Inf. Sci., 11(1), 73–91.
Theobald, D. M., and Gross, M. D. (1994). “EML: A modeling environment for exploring landscape dynamics.” Comput. Environ. Urban Syst., 18(3), 193–204.
White, R., and Engelen, G. (1993). “Cellular automata and fractal urban form: A cellular modelling approach to the evolution of urban land-use patterns.” Envir. Plan. 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 multicriteria 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.
Information & Authors
Information
Published In
Copyright
© 2005 ASCE.
History
Received: Apr 4, 2001
Accepted: Aug 31, 2004
Published online: Sep 1, 2005
Published in print: Sep 2005
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.