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Title
Understanding complex urban systems [electronic resource] : integrating multidisciplinary data in urban models / Christian Walloth, Ernst Gebetsroither-Geringer, Funda Atun, Liss C. Werner, editors.
ISBN
9783319301785 (electronic book)
3319301780 (electronic book)
9783319301761
Published
Cham : Springer, 2016.
Language
English
Description
1 online resource (ix, 136 pages)
Item Number
10.1007/978-3-319-30178-5 doi
Call Number
HT153
Dewey Decimal Classification
307.7601/5118
Summary
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.
Note
Includes index.
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Access limited to authorized users.
Series
Springer complexity.
Understanding complex systems.
Available in Other Form
Print version: 9783319301761
Introduction
Combining Agent-Based Modeling with Big Data Methods to Support
Urban Development Simulator: How Can Participatory Data Gathering Support Modeling of Complex Urban Systems
Bypassing Data Unavailability in Urban Systems Modeling
Big Data? No Data. How to Pro-actively Deal With Unexpected Change in Cities Where (Big) Data is Not Available
Conceptualizing the Urban System as a System of Flows
Operationalizing the Capabilities Approach for Modeling Household Welfare Shifts in Urban Systems: A Special Focus on the Transportation Outcomes of Urban Resettlement
Interventions in Complex Urban Systems: How to Enable Modeling to Account for Disruptive Innovation.
