Understanding Complex Urban Systems: Integrating Multidisciplinary Data in Urban Models (Understanding Complex Systems)

Christian Walloth; Ernst Gebetsroither-Geringer; Funda Atun; Liss C. Werner

ISBN 10: 3319301764 / ISBN 13: 9783319301761

Edité par Springer, 2016

A propos de cet article

Hardcover, x + 136 pages, NOT ex-library. Book is clean and bright with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- Contents: Introduction: Overcoming Limitations of Urban Systems Models and of Data Availability / Christian Walloth; Combining Agent-Based Modeling with Big Data Methods to Support Architectural and Urban Design / Matthias Scheutz; Urban Development Simulator: How Can Participatory Data Gathering Support Modeling of Complex Urban Systems / Ernst Gebetsroither-Geringer; Bypassing Data Unavailability in Urban Systems Modeling / Najd Ouhajjou; Big Data or No Data: Supporting Urban Decision-Making with a Nested System Model / Christian Walloth; Conceptualizing the Urban System as a System of Flows / Pavel Holubec; Operationalizing the Capabilities Approach for Modeling Household Welfare Shifts in Urban Systems: A Special Focus on the Transportation Outcomes of Urban Resettlement / Xin Yang; Interventions in Complex Urban Systems: How to Enable Modeling to Account for Disruptive Innovation / Justyna Karakiewicz; Index -- 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.

N° de réf. du vendeur 008391

Détails bibliographiques

• Titre: Understanding Complex Urban Systems: Integrating Multidisciplinary Data in Urban Models (Understanding Complex Systems)
• Éditeur: Springer
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3319301764
• ISBN à 13 chiffres: 9783319301761
• Reliure: Hardcover
• Édition: 1st Edition
• État de l'article: Near Fine

A propos de ce titre

Synopsis

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.