Understanding Complex Urban Systems
Integrating Multidisciplinary Data in Urban Models
Editors: Walloth, C., Gebetsroither-Geringer, E., Atun, F., Werner, L.C. (Eds.)
Free Preview- Introduction and recent research on complex urban systems
- Devoted to the Integration of Multidisciplinary Data in Urban Models
- The approaches presented in this book range from crowd data and big data, to social media geographic information and semantic modeling
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- About this book
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This book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers—including municipal politicians, spatial planners, and citizen groups—in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches—and not only in terms of computer modeling.
The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as:
- An argument for using Big Data methods in conjunction with Agent-based Modeling;
- The introduction of a participatory approach involving citizens, in order to utilize an Agent-based Modeling approach to simulate urban-growth scenarios;
- A presentation of semantic modeling to enable a flexible application of modeling methods and a flexible exchange of data;
- An article about a nested-systems approach to analyzing a city’s interdependent subsystems (according to these subsystems’ different velocities of change);
- An article about methods that use Luhmann’s system theory to characterize cities as systems that are composed of flows;
- An article that demonstrates how the Sen-Nussbaum Capabilities Approach can be used in urban systems to measure household well-being shifts that occur in response to the resettlement of urban households;
- A final article that illustrates how Adaptive Cycles of Complex Adaptive Systems, as well as innovation, can be applied to gain a better understanding of cities and to promote more resilient and more sustainable urban futures.
- Table of contents (8 chapters)
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Introduction: Overcoming Limitations of Urban Systems Models and of Data Availability
Pages 1-14
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Combining Agent-Based Modeling with Big Data Methods to Support Architectural and Urban Design
Pages 15-31
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Urban Development Simulator: How Can Participatory Data Gathering Support Modeling of Complex Urban Systems
Pages 33-47
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Bypassing Data Unavailability in Urban Systems Modeling
Pages 49-63
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Big Data or No Data: Supporting Urban Decision-Making with a Nested System Model
Pages 65-78
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Table of contents (8 chapters)
- Download Preface 1 PDF (45.1 KB)
- Download Sample pages 2 PDF (186.5 KB)
- Download Table of contents PDF (44.6 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Understanding Complex Urban Systems
- Book Subtitle
- Integrating Multidisciplinary Data in Urban Models
- Editors
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- Christian Walloth
- Ernst Gebetsroither-Geringer
- Funda Atun
- Liss C. Werner
- Series Title
- Understanding Complex Systems
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-30178-5
- DOI
- 10.1007/978-3-319-30178-5
- Hardcover ISBN
- 978-3-319-30176-1
- Softcover ISBN
- 978-3-319-80740-9
- Series ISSN
- 1860-0832
- Edition Number
- 1
- Number of Pages
- IX, 136
- Number of Illustrations
- 11 b/w illustrations, 11 illustrations in colour
- Topics
