Understanding Complex Urban Systems

Integrating Multidisciplinary Data in Urban Models

Nonfiction, Science & Nature, Science, Physics, Chaotic Behavior, Technology, Reference & Language, Reference
Cover of the book Understanding Complex Urban Systems by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319301785
Publisher: Springer International Publishing Publication: March 11, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319301785
Publisher: Springer International Publishing
Publication: March 11, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Counterterrorism and Cybersecurity by
Cover of the book National League Franchises: Team Performances Inspire Business Success by
Cover of the book Ethical Counselling and Medical Decision-Making in the Era of Personalised Medicine by
Cover of the book 9th WCEAM Research Papers by
Cover of the book The Aesthetics of Anthony Burgess by
Cover of the book Environment and Society by
Cover of the book Green's Functions by
Cover of the book Technology, Institutions and Labor by
Cover of the book High Performance Computing in Science and Engineering ‘14 by
Cover of the book Industrial Engineering in the Big Data Era by
Cover of the book Sperm Acrosome Biogenesis and Function During Fertilization by
Cover of the book Floating Offshore Wind Farms by
Cover of the book Talking Bodies by
Cover of the book The Immunology of Cardiovascular Homeostasis and Pathology by
Cover of the book Design for Experience by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy