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Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling [electronic resource] / edited by Christian Walloth, Jens Martin Gurr, J. Alexander Schmidt.

Contributor(s): Walloth, Christian [editor.] | Gurr, Jens Martin [editor.] | Schmidt, J. Alexander [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Understanding Complex Systems: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XI, 158 p. 36 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319029962.Subject(s): Engineering | Statistical physics | Sociophysics | Econophysics | Complexity, Computational | Engineering | Complexity | Socio- and Econophysics, Population and Evolutionary Models | Nonlinear DynamicsAdditional physical formats: Printed edition:: No titleDDC classification: 620 Online resources: Click here to access online
Contents:
From the Contents: Introduction: Towards a Transdisciplinary Understanding of Complex Urban Systems -- Multi-method Modeling and Simulation Supporting Urban Planning -- Understanding Effects of Complexity in Cities During Disasters -- Towards Evolutionary Economic Analysis of Sustainable Urban Real Estate: -- Organized and Disorganized Complexities and Socio-Economic Implications in the Northern Ruhr Area.
In: Springer eBooksSummary: Understanding Complex Urban Systems takes as its point of departure the insight that the challenges of global urbanization and the complexity of urban systems cannot be understood - let alone 'managed' - by sectoral and disciplinary approaches alone. But while there has recently been significant progress in broadening and refining the methodologies for the quantitative modeling of complex urban systems, in deepening the theoretical understanding of cities as complex systems, or in illuminating the implications for urban planning, there is still a lack of well-founded conceptual thinking on the methodological foundations and the strategies of modeling urban complexity across the disciplines. Bringing together experts from the fields of urban and spatial planning, ecology, urban geography, real estate analysis, organizational cybernetics, stochastic optimization, and literary studies, as well as specialists in various systems approaches and in transdisciplinary methodologies of urban analysis, the volume seeks to advance the discussion on multidisciplinary approaches to urban modeling. While engaging with the 'state of the art' in their respective fields, the contributions are specifically written for both experts from a broad range of disciplines as well as for urban practitioners who feel the need for new approaches given the uncertainty of current developments.
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From the Contents: Introduction: Towards a Transdisciplinary Understanding of Complex Urban Systems -- Multi-method Modeling and Simulation Supporting Urban Planning -- Understanding Effects of Complexity in Cities During Disasters -- Towards Evolutionary Economic Analysis of Sustainable Urban Real Estate: -- Organized and Disorganized Complexities and Socio-Economic Implications in the Northern Ruhr Area.

Understanding Complex Urban Systems takes as its point of departure the insight that the challenges of global urbanization and the complexity of urban systems cannot be understood - let alone 'managed' - by sectoral and disciplinary approaches alone. But while there has recently been significant progress in broadening and refining the methodologies for the quantitative modeling of complex urban systems, in deepening the theoretical understanding of cities as complex systems, or in illuminating the implications for urban planning, there is still a lack of well-founded conceptual thinking on the methodological foundations and the strategies of modeling urban complexity across the disciplines. Bringing together experts from the fields of urban and spatial planning, ecology, urban geography, real estate analysis, organizational cybernetics, stochastic optimization, and literary studies, as well as specialists in various systems approaches and in transdisciplinary methodologies of urban analysis, the volume seeks to advance the discussion on multidisciplinary approaches to urban modeling. While engaging with the 'state of the art' in their respective fields, the contributions are specifically written for both experts from a broad range of disciplines as well as for urban practitioners who feel the need for new approaches given the uncertainty of current developments.

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