Exploring urban dynamics in Latin American cities using an agent-based simulation approach

Agent-Based Models of Geographical Systems

Volumn , Issue , 2012, Pages 571-589

  Barros, Joana ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84902291765     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-90-481-8927-4_28     Document Type: Chapter

References (16)

1. Amato, P. (1970a). A comparison: Population densities, land values and socioeconomic class in four Latin American cities. Land Economics, 46, 447-455.
2. Amato, P. (1970b). Elitism and settlement patterns in the Latin American city. Journal of the American Institute of Planners, 36, 96-105.
3. Brown, D. G., Page, S. E., Riolo, R., & Rand, W. (2004a). Agent based and analytical modeling to evaluate the effectiveness of greenbelts. Environmental Modelling and Software, 19(12), 1097-1109.
4. Brown, D. G., Walker, R., Manson, S. M., & Seto, K. (2004b). Modeling land-use and land-cover change. In B. L. Turner & G. Gutmann (Eds.), Land change science: Observing, monitoring, and understanding trajectories of change on the land surface. Dordrecht: Kluwer.
5. Burgess, E. W. (1925). The growth of the city: An introduction to a research project. In R. Park, E. W. Burgess, & R. D. McKenzie (Eds.), The city (pp. 47-62). Chicago: University of Chicago Press.
6. Grimm, V., & Railsback, S. F. (2012). Designing, formulating and communicating agent-based models. In A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems (pp. 361-377). Dordrecht: Springer.
7. Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot, V., Giske, J., et al. (2006). A standard protocol for describing individual-based and agent-based models. Ecological Modelling, 198(1-2), 115-126.
8. Hall, P. (1983). Decentralization without end? A re-evaluation. In J. Patten (Ed.), The expanding city: Essays in honour of professor Jean Gottmann (pp. 125-155). London: Academic.
9. Ngo, T. A., & See, L. M. (2012). Calibration and validation of agent-based models of land cover change. In A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems (pp. 181-196). Dordrecht: Springer.
10. Polhill, J. G., Parker, D., Brown, D. G., & Grimm, V. (2008). Using the ODD protocol for describing three agent-based social simulation models of land-use change. Journal of Artificial Societies and Social Simulation, 11(23).
11. Rand, W., Brown, D. G., Page, S. E., Riolo, R., Fernandez, L. E., & Zellner, M. (2003). Statistical validation of spatial patterns in agent-based models. Paper presented at the proceedings of agent based simulation 2003, Montpellier.
12. Saltelli, A., Chan, K., & Scott, E. M. (2000). Sensitivity analysis. New York: Wiley.
13. Turner, M. G., Gardner, R. H., & O’Neill, R. V. (2001). Landscape ecology in theory and practice: Pattern and process. New York: Springer.
14. UNCHS. (1996). An urbanizing world: Global report on human settlements. Oxford: Oxford University Press for the United Nations Centre for Human Settlements (Habitat).
15. University of Chicago. (2003). RePast 2.0 (Software) from http://repast.sourceforge.net/
16. Valladares, L., & Coelho, M. P. (1995). Urban research in Brazil and Venezuela: Towards an agenda for the 1990s. In R. Stren (Ed.), Urban research in the developing world. Toronto: University of Toronto.