Understanding Complex Urban Systems

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Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling

Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling
Author :
Publisher : Springer
Total Pages : 163
Release :
ISBN-10 : 9783319029962
ISBN-13 : 3319029967
Rating : 4/5 (967 Downloads)

Book Synopsis Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling by : Christian Walloth

Download or read book Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling written by Christian Walloth and published by Springer. This book was released on 2013-12-14 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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