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Modeling Cities and Regions As Complex SystemsFrom Theory to Planning Applications$
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Roger White, Guy Engelen, and Inge Uljee

Print publication date: 2015

Print ISBN-13: 9780262029568

Published to MIT Press Scholarship Online: May 2016

DOI: 10.7551/mitpress/9780262029568.001.0001

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Urban and Regional Land Use Dynamics: Understanding the Process by Means of Cellular Automaton–Based Models

Urban and Regional Land Use Dynamics: Understanding the Process by Means of Cellular Automaton–Based Models

Chapter:
(p.103) 6 Urban and Regional Land Use Dynamics: Understanding the Process by Means of Cellular Automaton–Based Models
Source:
Modeling Cities and Regions As Complex Systems
Author(s):

Roger White

Guy Engelen

Inge Uljee

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262029568.003.0006

Urban growth and change are modelled by a constrained CA in which cell states represent land uses. The transition rule takes into account not only the neighbourhood effect, which captures attraction and repulsion effects among the various land uses, but also several other factors: suitabilities, representing physical factors such as slope or flood risk; accessibility to the transport network; legal restrictions on land use; and a random perturbation representing variability among the implicit agents making the land use decisions. The basic CA land use model is linked dynamically to other models—specifically economic, demographic, and natural system models—with two-way feedback, so that the linked models drive growth in the land use model, while changes is land use modify relevant parameters in the linked models. Applications to Dublin, Cincinnati, and the island of Saint Lucia are discussed.

Keywords:   Constrained cellular automaton, Land use model, Neighbourhood effect, Suitabilities, Accessibility, Legal restrictions, Linked models, Dublin, Saint Lucia

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