Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals (Hardcover)
暫譯: 城市與複雜性：透過細胞自動機、基於代理的模型與分形理解城市 (精裝本)

Description:

As urban planning moves from a centralized, top-down approach to a decentralized, bottom-up perspective, our conception of urban systems is changing. In Cities and Complexity, Michael Batty offers a comprehensive view of urban dynamics in the context of complexity theory, presenting models that demonstrate how complexity theory can embrace a myriad of processes and elements that combine into organic wholes. He argues that bottom-up processes -- in which the outcomes are always uncertain -- can combine with new forms of geometry associated with fractal patterns and chaotic dynamics to provide theories that are applicable to highly complex systems such as cities.

Batty begins with models based on cellular automata (CA), simulating urban dynamics through the local actions of automata. He then introduces agent-based models (ABM), in which agents are mobile and move between locations. These models relate to many scales, from the scale of the street to patterns and structure at the scale of the urban region. Finally, Batty develops applications of all these models to specific urban situations, discussing concepts of criticality, threshold, surprise, novelty, and phase transition in the context of spatial developments. Every theory and model presented in the book is developed through examples that range from the simplified and hypothetical to the actual. Deploying extensive visual, mathematical, and textual material, Cities and Complexity will be read both by urban researchers and by complexity theorists with an interest in new kinds of computational models.

Sample chapters and examples from the book, and other related material, can be found at http://www.complexcity.info by clicking on the link to the left.

Michael Batty is Professor of Spatial Analysis and Planning and Director of the Centre for Advanced Spatial Analysis (CASA) at University College London

 

Table of Contents:

List of Figures	ix
	List of Tables	xvii
	Preface	xix
	Acknowledgments	xxiii
	Introduction: Understanding Cities	1
1	Urban Change: Complexity and Emergence	17
2	Cells and Cities: The Rudiments of Computation	67
3	Laboratories for Growing Cities	105
4	Desktop Simulators: Hypothetical Urban Evolution	151
5	Agents and Cells, Actions and Interactions	209
6	Local Movement: Agent-Based Models of Street Systems and Buildings	263
7	The Dynamics of Small-Scale Spatial Events	319
8	Polynucleated Urban Landscapes	353
9	Modeling Urban Growth as a Spatial Epidemic	385
10	Self-Organized Criticality and Urban Development	425
11	The Fractal City	457
	Conclusion: Understanding Models	515
	References	521
	Author Index	545
	Subject Index	553