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Entropy 2013, 15(7), 2606-2634; doi:10.3390/e15072606
Article

Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata

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Received: 6 May 2013 / Revised: 26 June 2013 / Accepted: 28 June 2013 / Published: 2 July 2013
(This article belongs to the Special Issue Entropy and Urban Sprawl)
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Abstract

Reconciling competing desires to build urban models that can be simple and complicated is something of a grand challenge for urban simulation. It also prompts difficulties in many urban policy situations, such as urban sprawl, where simple, actionable ideas may need to be considered in the context of the messily complex and complicated urban processes and phenomena that work within cities. In this paper, we present a novel architecture for achieving both simple and complicated realizations of urban sprawl in simulation. Fine-scale simulations of sprawl geography are run using geographic automata to represent the geographical drivers of sprawl in intricate detail and over fine resolutions of space and time. We use Equation-Free computing to deploy population as a coarse observable of sprawl, which can be leveraged to run automata-based models as short-burst experiments within a meta-simulation framework.
Keywords: urban simulation; geosimulation; agent-based model; high-performance computing; Equation-Free; coarse projective integration; complexity urban simulation; geosimulation; agent-based model; high-performance computing; Equation-Free; coarse projective integration; complexity
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Torrens, P.M.; Kevrekidis, Y.; Ghanem, R.; Zou, Y. Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata. Entropy 2013, 15, 2606-2634.

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