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This book is devoted to the modeling and understandingof complex urban systems. This second volume of Understanding Complex UrbanSystems focuses on the challenges of the modeling tools, concerning, e.g., thequality and quantity of data and the selection of an appropriate modelingapproach. It is meant to support urban decision-makers-including municipalpoliticians, spatial planners, and citizen groups-in choosing an appropriatemodeling approach for their particular modeling requirements. The contributorsto this volume are from different disciplines, but all share the same goal:optimizing the representation of complex urban systems. They present anddiscuss a variety of approaches for dealing with data-availability problems andfinding appropriate modeling approaches-and not only in terms of computermodeling.
The selection of articles featured in this volume reflecta broad variety of new and established modeling approaches such as:
- An argument for using Big Data methods inconjunction with Agent-based Modeling;
- The introduction of a participatory approachinvolving citizens, in order to utilize an Agent-based Modeling approach tosimulate urban-growth scenarios;
- A presentation of semantic modeling to enable aflexible application of modeling methods and a flexible exchange of data;
- An article about a nested-systems approach toanalyzing a city's interdependent subsystems (according to these subsystems'different velocities of change);
- An article about methods that use Luhmann's systemtheory to characterize cities as systems that are composed of flows;
- An article that demonstrates how the Sen-NussbaumCapabilities Approach can be used in urban systems to measure household well-beingshifts that occur in response to the resettlement of urban households;
- A final article that illustrates how Adaptive Cyclesof Complex Adaptive Systems, as well as innovation, can be applied to gain abetter understanding of cities and to promote more resilient and moresustainable urban futures.
List of contents
Introduction.- CombiningAgent-Based Modeling with Big Data Methods to Support.- Urban DevelopmentSimulator: How Can Participatory Data Gathering Support Modeling of ComplexUrban Systems.- Bypassing Data Unavailabilityin Urban Systems Modeling.- Big Data? No Data. How to Pro-actively DealWith Unexpected Change in Cities Where (Big) Data is NotAvailable.- Conceptualizing the Urban System as a System of Flows.- Operationalizingthe Capabilities Approach for Modeling Household Welfare Shifts in UrbanSystems: A Special Focus on the Transportation Outcomes of UrbanResettlement.- Interventions in Complex Urban Systems: How to EnableModeling to Account for Disruptive Innovation.
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.
