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Modeling cities and regions as complex systems : from theory to planning applications / Roger White, Guy Engelen, and Inge Uljee.

By: Contributor(s): Material type: TextTextPublisher: Cambridge, Massachusettes : MIT Press, [2015]Copyright date: ©2015Description: 1 online resource (354 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780262331388
  • 0262331381
  • 9780262331371
  • 0262331373
Subject(s): Genre/Form: Additional physical formats: Print version:: Modeling cities and regions as complex systems : from theory to planning applications.DDC classification:
  • 307.1/216 23
LOC classification:
  • HT166 .W5134 2015
Online resources:
Contents:
Introduction -- Theory and consequences -- Approaches to modeling cities and regions -- Urban systems and spatial competition -- The fractal forms of land use patterns -- Urban and regional land use dynamics : understanding the process by means of cellular automaton-based models -- The bigger picture : integrated multi-scale models -- The cellular automaton eats the regions : unified modeling of activities and land use in a variable grid cellular automaton -- Issues of calibration, validation, and methodology -- Emerging theory -- Modeling in support of spatial planning and policy-making : the example of Flanders -- Paths to the future -- References -- Index.
Summary: "Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems -an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems."-- Provided by publisher.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Online resource; title from PDF title page (EBSCO, viewed January 29, 2018).

Includes bibliographical references and index.

Introduction -- Theory and consequences -- Approaches to modeling cities and regions -- Urban systems and spatial competition -- The fractal forms of land use patterns -- Urban and regional land use dynamics : understanding the process by means of cellular automaton-based models -- The bigger picture : integrated multi-scale models -- The cellular automaton eats the regions : unified modeling of activities and land use in a variable grid cellular automaton -- Issues of calibration, validation, and methodology -- Emerging theory -- Modeling in support of spatial planning and policy-making : the example of Flanders -- Paths to the future -- References -- Index.

"Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems -an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems."-- Provided by publisher.

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