國立虎尾科技大學 |

Understanding complex urban systems = integrating multidisciplinary data in urban models /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Understanding complex urban systems/ edited by Christian Walloth ... [et al.].
Reminder of title:	integrating multidisciplinary data in urban models /
other author:	Walloth, Christian.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	ix, 136 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Cities and towns - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-30178-5
ISBN:	9783319301785

Understanding complex urban systems = integrating multidisciplinary data in urban models /
Understanding complex urban systemsintegrating multidisciplinary data in urban models /[electronic resource] :edited by Christian Walloth ... [et al.]. - Cham :Springer International Publishing :2016. - ix, 136 p. :ill., digital ;24 cm. - Understanding complex systems,1860-0832. - Understanding complex systems..

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.

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.

ISBN: 9783319301785

Standard No.: 10.1007/978-3-319-30178-5doiSubjects--Topical Terms:

896202
Cities and towns
--Mathematical models.

LC Class. No.: HT153

Dewey Class. No.: 307.76015118

Understanding complex urban systems = integrating multidisciplinary data in urban models /
LDR:03772nam a2200325 a 4500 001 863121
003 DE-He213
005 20160919160024.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319301785 $q (electronic bk.)
020 $a 9783319301761 $q (paper)
024 7 $a 10.1007/978-3-319-30178-5 $2 doi
035 $a 978-3-319-30178-5
040 $a GP $c GP
041 0 $a eng
050 4 $a HT153
072 7 $a GPFC $2 bicssc
072 7 $a TEC000000 $2 bisacsh
082 0 4 $a 307.76015118 $2 23
090 $a HT153 $b .U55 2016
245 0 0 $a Understanding complex urban systems $h [electronic resource] : $b integrating multidisciplinary data in urban models / $c edited by Christian Walloth ... [et al.].
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a ix, 136 p. : $b ill., digital ; $c 24 cm.
490 1 $a Understanding complex systems, $x 1860-0832
505 0 $a 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.
520 $a 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.
650 0 $a Cities and towns $x Mathematical models. $3 896202
650 1 4 $a Engineering. $3 561152
650 2 4 $a Complexity. $3 669595
650 2 4 $a Nonlinear Dynamics. $3 783150
650 2 4 $a Urban Geography / Urbanism (inc. megacities, cities, towns) $3 1062404
650 2 4 $a Socio- and Econophysics, Population and Evolutionary Models. $3 785051
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
700 1 $a Walloth, Christian. $3 1023421
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Understanding complex systems. $3 881607
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-30178-5
950 $a Engineering (Springer-11647)