Description
Springer Understanding Complex Urban Systems Integrating Multidisciplinary Data in Urban Models by Christian Walloth, Ernst Gebetsroither-Geringer, Funda Atun, Liss C. Werner
This book is devoted to the modeling and understanding_x000D_of complex urban systems. This second volume of Understanding Complex Urban_x000D_Systems focuses on the challenges of the modeling tools, concerning, e.g., the_x000D_quality and quantity of data and the selection of an appropriate modeling_x000D_approach. It is meant to support urban decision-makers-including municipal_x000D_politicians, spatial planners, and citizen groups-in choosing an appropriate_x000D_modeling approach for their particular modeling requirements. The contributors_x000D_to this volume are from different disciplines, but all share the same goal:_x000D_optimizing the representation of complex urban systems. They present and_x000D_discuss a variety of approaches for dealing with data-availability problems and_x000D_finding appropriate modeling approaches-and not only in terms of computer_x000D_modeling. _x000D__x000D__x000D__x000D_The selection of articles featured in this volume reflect_x000D_a broad variety of new and established modeling approaches such as: _x000D__x000D__x000D__x000D_- An argument for using Big Data methods in_x000D_conjunction with Agent-based Modeling;_x000D__x000D__x000D__x000D_- The introduction of a participatory approach_x000D_involving citizens, in order to utilize an Agent-based Modeling approach to_x000D_simulate urban-growth scenarios;_x000D__x000D__x000D__x000D_- A presentation of semantic modeling to enable a_x000D_flexible application of modeling methods and a flexible exchange of data;_x000D__x000D__x000D__x000D_- An article about a nested-systems approach to_x000D_analyzing a city's interdependent subsystems (according to these subsystems'_x000D_different velocities of change);_x000D__x000D__x000D__x000D_- An article about methods that use Luhmann's system_x000D_theory to characterize cities as systems that are composed of flows;_x000D__x000D__x000D__x000D_- An article that demonstrates how the Sen-Nussbaum_x000D_Capabilities Approach can be used in urban systems to measure household well-being_x000D_shifts that occur in response to the resettlement of urban households;_x000D__x000D__x000D__x000D_- A final article that illustrates how Adaptive Cycles_x000D_of Complex Adaptive Systems, as well as innovation, can be applied to gain a_x000D_better understanding of cities and to promote more resilient and more_x000D_sustainable urban futures._x000D_ Table of contents :- _x000D_
Introduction.- Combining_x000D_
Agent-Based Modeling with Big Data Methods to Support.- Urban Development_x000D_
Simulator: How Can Participatory Data Gathering Support Modeling of Complex_x000D_
Urban Systems.- Bypassing Data Unavailability_x000D_
in Urban Systems Modeling.- Big Data? No Data. How to Pro-actively Deal_x000D_
With Unexpected Change in Cities Where (Big) Data is Not_x000D_
Available.- Conceptualizing the Urban System as a System of Flows.- Operationalizing_x000D_
the Capabilities Approach for Modeling Household Welfare Shifts in Urban_x000D_
Systems: A Special Focus on the Transportation Outcomes of Urban_x000D_
Resettlement.- Interventions in Complex Urban Systems: How to Enable_x000D_
Modeling to Account for Disruptive Innovation._x000D_