Understanding Complex Urban Systems | Integrating Multidisciplinary Data in Urban Models
Language: English
Published by Springer, 2018
- Softcover
- New
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Understanding Complex Urban Systems | Integrating Multidisciplinary Data in Urban Models | Christian Walloth (u. a.) | Taschenbuch | ix | Englisch | 2018 | Springer | EAN 9783319807409 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller Inventory # 114236530
- Title
- Understanding Complex Urban Systems | Integrating Multidisciplinary Data in Urban Models
- Author
- Christian Walloth (u. a.)
- Publisher
- Springer
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319807404
- ISBN 13
- 9783319807409
- Item weight
- 237 grams
- Dimensions
- 235 x 156 x 9 mm
- Seller catalogs
- Bücher
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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| Item | 60 to 60 business days | 60 to 60 business days |
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| First item | £ 60.03 | £ 60.03 |
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