By Alison J. Heppenstall, Andrew T. Crooks, Linda M. See, Michael Batty
This particular e-book brings jointly a complete set of papers at the history, conception, technical matters and purposes of agent-based modelling (ABM) inside of geographical structures. This selection of papers is a useful reference element for the skilled agent-based modeller to boot these new to the realm. particular geographical concerns similar to dealing with scale and area are handled in addition to sensible recommendation from major specialists approximately designing and developing ABMs, dealing with complexity, visualising and validating version outputs. With contributions from a few of the world’s major study associations, the newest utilized study (micro and macro functions) from around the world exemplify what could be accomplished in geographical context.
This booklet is proper to researchers, postgraduate and complex undergraduate scholars, and execs within the components of quantitative geography, spatial research, spatial modelling, social simulation modelling and geographical details sciences.
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Additional info for Agent-Based Models of Geographical Systems
Kriger, D. , & Miller, E. J. (2005). Current operational urban land-use-transport modelling frameworks: A review. Transport Reviews, 25(3), 329–376. , & El-Geneidy, A. (2008). Models of transportation and land use change: A guide to the territory. Journal of Planning Literature, 22, 323–340. 50 M. Batty Iltanen, S. (2011). Cellular automata in urban spatial modelling. In A. J. Heppenstall, A. T Crooks, L. M. See & M. ), Agent-based models of Geographical Systems (pp. 69–84). Dordrecht: Springer.
We do not have time to detail the model but it is clear that the nature of the problem imposes quite substantial differences between this application and others in terms of the composition of the agent population and the nature of the facilities in the complex. Again ABM is appropriate because of the rule-based behaviours in this kind of context and because navigation, obstacle avoidance and visibility calculations are important in simulating this type of mobility. 7 Land Use Transportation (LUTI) Models: Aggregate Behaviour in Spatial Equilibrium Our last examples which are not part of the mainstream applications in this book except in the contribution below from Dearden and Wilson (2012), revert back to the origins of computational modelling in spatial systems which are in a rather different tradition from the new paradigms explored in the various contributions that follow.
A typical “What-if” Static MSM scenario would be: if there had been no poll tax in 1991, which communities would have benefited most and which would have had to have paid more tax in other forms? (Ballas et al. 2005b; Gilbert and Troitzsch 2005; Citro and Hanushek 1991) Most tax-benefit MSMs are static. Examples of static microsimulations include models such as TRIM (Beebout and Bonina 1973), POLIMOD (Redmond et al. 1998), STINMOD (Lambert et al. 1994) and EUROMOD (Sutherland 2001). Descriptions of such models can be found in the previous section.