Un modelo de simulación computacional integrado a SIG para explorar la dinámica de crecimiento de la Zona Metropolitana de la Ciudad de México (1998-2008)
This paper explores the dynamics of economic growth in the municipalities and delegations of the Metropolitan Area of Mexico City (MAMC) through simulations of a dynamic model of Cellular Automata contagion integrated into Geographic Information Systems. Model results indicate that under conditions...
| Autores principales: | , |
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| Formato: | Online |
| Idioma: | español |
| Editor: |
El Colegio de México A.C.
2013
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| Materias: | |
| Acceso en línea: | https://estudiosdemograficosyurbanos.colmex.mx/index.php/edu/article/view/1448 |
| Revista: |
Estudios Demográficos y Urbanos |
| Sumario: | This paper explores the dynamics of economic growth in the municipalities and delegations of the Metropolitan Area of Mexico City (MAMC) through simulations of a dynamic model of Cellular Automata contagion integrated into Geographic Information Systems. Model results indicate that under conditions of intense local interaction by municipalities and delegations, the MCMA tends to achieve a lower average growth rate of GDP than has been observed in recent years. They also show that the equilibrium growth rate of the MCMA is not affected by the monocentric or polycentric nature of the metropolis, but rather by the proximity or distance of the municipalities and delegations in regard to the center or economic sub-centers of the region. Lastly, the research shows that it is possible to achieve higher GDP growth rates than those observed under certain conditions of coordination in the urban structure without necessarily being global interaction between municipalities and delegations. |
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