Simulating Urban Growth in a Developing Nation’s Region Using a Cellular Automata-Based Model
Publication: Journal of Urban Planning and Development
Volume 130, Issue 3
Abstract
Urbanization is one of the most evident global changes. Research in the field of urban growth modelling has generated models that explore for drivers and components of the urban growth dynamics. Cellular automata (CA) modeling is one of the recent advances, and a number of CA-based models of urban growth have produced satisfactory simulations of spatial urban expansion over time. Most application and test of CA-based models of urban growth which provide likely and reliable simulations has been developed in urban regions of developed nations; urban regions in the United States, in particular. This is because most of the models were developed in universities and research centers of developed nations, and these regions have the required data, which is extensive. Most of the population growth in the world, however, occurs in the developing world. While some European countries show signs of stabilization of their population, in less developed countries, such as India, population still grows exponentially. And this growth is normally uncoordinated, which results in serious environmental and social problems in urban areas. Therefore, the use of existing dynamic–spatial models of urban growth in regions of developing nations could be a means to assist planners and decision makers of these regions to understand and simulate the process of urban growth and test the results of different development strategies. The pattern of growth of urban regions of developing nations, however, seems to be different of the pattern of developed countries. The former use to be more dense and centralized, normally expanding outwards from consolidated urban areas; while the second is normally more fragmented and sparse. The present paper aims to investigate to how extent existing CA-based urban growth models tested in developed nations can also be applied to a developing country urban area. The urban growth model was applied to Porto Alegre City, Brazil. An expected contiguous expansion from existing urban areas has been obtained as following the historical trends of growth of the region. Moreover, the model was sensitive and able to portray different pattern of growth in the study area by changing the value of its parameters.
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References
Batty, M.(1994). “A chronicle of scientific planning: The Anglo-American modelling experience.” J. Am. Plan. Assoc., 60(1), 7–16.
Batty, M., and Densham, P. J. (1996). “Decision support, GIS, and urban planning.” 〈http://www.geog.ucl.ac.uk/∼pdensham/s_t_paper.thml〉
Batty, M., Longley, P., and Fotheringham, S.(1989). “Urban growth and form: scaling, fractal geometry, and diffusion-limited aggregation.” Environ. Plan. A, 21, 1447–1472.
Batty, M., and Xie, Y.(1997). “Possible urban automata.” Environ. Plan. B: Plan. Des., 24, 175–192.
Batty, M., Xie, Y., and Sun, Z. (1999). “The dynamics of urban sprawl.” Paper 15, Centre for Advanced Spatial Analysis, University College of London, London.
Bourne, L. S.(1992). “Self-fulfilling prophecies? Decentralization, inner city decline, and the quality of urban life.” J. Am. Plan. Assoc., 58(4), 509–513.
Cecchini, A.(1996). “Urban modeling by means of cellular automata: generalized urban automata with help on-line (AUGH) model.” Environ. Plan. B: Plan. Des., 23, 721–732.
Chin, N. (2002). “Unearthing the roots of urban sprawl: A critical analysis of form, function and methodology.” Paper 47, Centre for Advanced Spatial Analysis, Univ. College of London, London.
Clarke, K., and Gaydos, L.(1998). “Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore.” Int. J. Geograph. Inf. Sci., 12(7), 699–714.
Clarke, K., Gaydos, L., and Hoppen, S.(1997). “A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area.” Environ. Plan. B: Plan. Des., 24, 247–261.
Clarke, K., Hoppen, S., and Gaydos, L. (1996). “Methods and techniques for rigorous calibration of a cellular automaton model of urban growth.” Proc., 3rd Int. Conf./Workshop on Integrating GIS and Environmental Modeling, (CD-ROM), Santa Fe, N.M., National Center for Geographic Information and Analysis, Santa Barbara, Calif. 〈http://www.ncgia.ucsb.edu/conf/SANTA_FE_CD_ROOM/main.html〉
Couclelis, H.(1997). “From cellular automata to urban models: New principles for model development and implementation.” Environ. Plan. B: Plan. Des., 24, 165–174.
Engelen, G., White, R., and Uljee, I. (1997). “Integrating constrained cellular automata models, GIS and decision support tools for urban planning and policy-making.” Decision support systems in urban planning, H. Timmermans, ed., Chap. 8, E&FN Spon, London.
Engelen, G., White, R., Uljee, I., and Drazan, P.(1995). “Using cellular automata for integrated modeling of socio-environmental systems.” Environ. Monit. Assess., 34, 203–214.
Ewing, R. H.(1995). “Characteristics, causes, and effects of sprawl: A literature review.” Environ. Urban Issues, (Spring), 1–15.
Gordon, P., and Richardson, H. W.(1997). “Are compact cities a desirable planning goal?” J. Am. Plan. Assoc., 63(1), 95–106.
Haub, C. (2002). 2002 World population data sheet, Population Reference Bureau, Wallchart.
Itami, R.(1994). “Simulating spatial dynamics: cellular automata theory.” Landscape Urban Plan., 30, 27–47.
Klosterman, R. E.(1994). “Large-scale urban models: twenty years later.” J. Am. Plan. Assoc., 60(1), 3–6.
Leão, S., Bishop, I., and Evans, D. (2004). “Spatial-temporal model for demand and allocation of landfills in growing urban regions.” Comput. Environ. Urban Syst., in press.
Lee, D.(1973). “Requiem for large-scale models.” J. Am. Inst. Plan., 39, 163–178.
Lee, D.(1994). “Retrospective on large-scale models.” J. Am. Plan. Assoc., 60(1), 35–44.
Li, X., and Yeh, A. G.-O.(2000). “Modelling sustainable urban development by integration of constrained cellular automata and GIS.” Int. J. Geograph. Inf. Sci., 14(2), 131–152.
Lowry, I. S. (1964). A model of a metropolis, RM-4035-RC, The Rand Corporation, Santa Monica, Calif.
Menegat, R., Porto, M. L., Carraro, C. C., and Fernandes, L. A. D. (1998). Atlas ambiental de Porto Alegre, Editora da Universidade, Porto Alegre, Brazil.
METROPLAN (1999). Plano director de resduos sólidos da região metropolitana de Porto Alegre, RS. (CD ROM). Brazil.
Phipps, M., and Langlois, A.(1997). “Spatial dynamics, cellular automata, and parallel processing computers.” Environ. Plan. B: Plan. Des., 24, 193–204.
Rinaldi, E. (1998). AUGH! generalised urban automata with help! user’s guide, Version 1.8 Daest/Stratema n.2, Venice, Italy.
Sembolini, F.(1997). “An urban and regional model based on cellular automata.” Environ. Plan. B: Plan. Des., 24, 589–612.
Stalker, P. (2000). Handbook of the world, Oxford University Press, New York.
Torrens, P. M., and Alberti, M. (2000). “Measuring sprawl.” Paper 27, Centre for Advanced Spatial Analysis, Univ. College of London, London.
Wegener, M.(1994). “Operational models: State of the art.” J. Am. Plan. Assoc., 60(1), 17–29.
White, R., and Engelen, G.(1993). “Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns.” Environ. Plan. A, 25, 1175–1199.
White, R., and Engelen, G.(1994). “Cellular dynamics and GIS: Modelling spatial complexity.” Geograph. Syst., 1(2), 237–253.
White, R., and Engelen, G.(1997). “Cellular automata as the basis of integrated dynamic regional modeling.” Environ. Plan. B: Plan. Des., 24, 235–246.
White, R., Engelen, G., and Uljee, I.(1997). “The use of constrained cellular automata for high-resolution modelling of urban land use dynamics.” Environ. Plan. B: Plan. Des., 24, 323–343.
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.
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Copyright © 2004 American Society of Civil Engineers.
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Received: Oct 8, 2002
Accepted: May 20, 2003
Published online: Aug 16, 2004
Published in print: Sep 2004
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