Titlebook: Understanding Complex Urban Systems; Integrating Multidis Christian Walloth,Ernst Gebetsroither-Geringer,Lis Book 2016 Springer Internation

華而不實(shí)

Big Data or No Data: Supporting Urban Decision-Making with a Nested System Model,vely faster and relatively slower systems in a given complex urban system. Thus, the article suggests a way to observe, evaluate, understand, and influence complex urban systems without the need for Big Data.

爭(zhēng)吵加

Combining Agent-Based Modeling with Big Data Methods to Support Architectural and Urban Design,ity of agent-based models in conjunction with Big Data analytics in the context of multi-level pedestrian areas and current office designs, respectively. The analyses of the case studies suggest that it will be worthwhile, both for urban designers and architects, to pursue a combined agent-based simulation Big Data analytics approach.

Pastry

動(dòng)脈

Conceptualizing the Urban System as a System of Flows, of flows. Such systems reduce the complexity that is resulting from spatial dispersal of people and social systems. What emerges as constraints of systems of flows are channels, accumulations and centers, that, when solidified, may become cities.

單調(diào)女

善辯

發(fā)起

Valves

Detonate

Big Data or No Data: Supporting Urban Decision-Making with a Nested System Model,could detect such new developments. It then turns to discussing how such new developments could be detected, even where no Big Data is available—which may be the case in most cities—and/or where Big Data methods might fail to detect new developments. An answer is provided by a model of nested system

全國(guó)性

Conceptualizing the Urban System as a System of Flows,y question is, how to put the various strands of research on urban matters together. I suppose that a theory of complex self-referential systems is well equipped for this task. Therefore, I respecified Luhmann’s concepts in the urban realm. As a result, I suggest a theory of self-referential systems