Monitoring and modeling the urban growth of two mid-sized Chilean cities

Abstract Chile's economic development model changed drastically in 1973. Public policy liberalization ended and the market became the principal entity for regulating growth, including urban growth. The implementation of this new model resulted in unprecedented urban growth, markedly impacting the landscape. In mid-sized cities, this spatial growth has been especially significant. Two examples of such mid-sized cities are Chillan and Los Angeles, located in the Biobio Region, in the so-called Central Valley. This research analyzed the land use/cover change in Chillan and Los Angeles from 1978 to 1998, identified the patterns of urban growth and the fragmentation of the urban space, applying GIS and remote sensing tools. The main driving forces of the urban changes were analyzed and the model to predict the land use/cover changes was applied. Our results show the importance of monitoring and modeling rapid urban growth for attaining sustainable mid-sized cities in developing countries that are strongly dependent on export of natural resources. Monitoring and modeling could also help to avoid a repetition of the errors that produced the unsustainable growth characteristic of large Latin American cities.

[1]  H. Balzter Markov chain models for vegetation dynamics , 2000 .

[2]  Jorge Rodríguez Vignoli,et al.  Distribución espacial de la población, urbanización y ciudades intermedias: hechos en su contexto , 1998 .

[3]  Peter Deadman,et al.  Modelling Rural Residential Settlement Patterns with Cellular Automata , 1993 .

[4]  M. Aguayo,et al.  Urbanization patterns and their impacts on social restructuring of urban space in Chilean mid-cities: The case of Los Angeles, Central Chile , 2007 .

[5]  F. Sabatini Direcciones para el futuro , 1998 .

[6]  Roger White,et al.  Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns , 1993 .

[7]  R. G. Pontius Statistical Methods to Partition Effects of Quantity and Location During Comparison of Categorical Maps at Multiple Resolutions , 2002 .

[8]  F. Sabatini Reforma de los mercados de suelo en Santiago, Chile: efectos sobre los precios de la tierra y la segregación residencial , 2000 .

[9]  Gerardo Azócar,et al.  Cambio en los patrones de crecimiento en una ciudad intermedia: el caso de Chillán en Chile Central , 2003 .

[10]  A. Borsdorf Cómo modelar el desarrollo y la dinámica de la ciudad latinoamericana , 2003 .

[11]  C. Lavalle,et al.  Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata , 2003 .

[12]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[13]  A. Borsdorf El desarrollo urbano de Valdivia : estudio de caso en una ciudad mediana , 2000 .

[14]  D. Sui,et al.  Modeling the dynamics of landscape structure in Asia's emerging desakota regions : a case study in Shenzhen , 2001 .

[15]  A. Burnicki,et al.  Stochastic Simulation of Land-Cover Change Using Geostatistics and Generalized Additive Models , 2002 .

[16]  Roger White,et al.  The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics , 1997 .

[17]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .

[18]  Keith C. Clarke,et al.  Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore , 1998, Int. J. Geogr. Inf. Sci..

[19]  A. R. Pinto Puerto Montt : el paso de ciudad menor a centro de desarrollo interregional en una ciudad del sur de Chile , 2000 .

[20]  W. Zipperer,et al.  Urban ecological systems: linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas , 2001 .

[21]  John von Neumann,et al.  Theory Of Self Reproducing Automata , 1967 .

[22]  Qihao Weng Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. , 2002, Journal of environmental management.

[23]  Robert Gilmore Pontius,et al.  Comparison of the structure and accuracy of two land change models , 2005, Int. J. Geogr. Inf. Sci..

[24]  G. Mertins Ciudades medianas en América Latina: criterios, indicadores y el intento de un modelo de su diferenciación socio-espacial y funcional , 2000 .

[25]  G. Bocco,et al.  Predicting land-cover and land-use change in the urban fringe A case in Morelia city, Mexico , 2001 .

[26]  S. Gale,et al.  The Philosophy of Geography , 2021, Springer Geography.

[27]  Xia Li,et al.  Modelling sustainable urban development by the integration of constrained cellular automata and GIS , 2000, Int. J. Geogr. Inf. Sci..

[28]  Helen Couclelis,et al.  From Cellular Automata to Urban Models: New Principles for Model Development and Implementation , 1997 .