Cover image for Cities and complexity : understanding cities with cellular automata, agent-based models, and fractals
Title:
Cities and complexity : understanding cities with cellular automata, agent-based models, and fractals
Personal Author:
Publication Information:
Cambridge, MA : MIT Pr., 2005
ISBN:
9780262025836

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010106029 HT166 B374 2005 Open Access Book Book
Searching...

On Order

Summary

Summary

Viewing urban dynamics in the context of complexity theory; models and examples in scales from the local to the regional As urban planning moves from a centralised, top-down approach to a decentralised, 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.


Table of Contents

List of Figuresp. ix
List of Tablesp. xvii
Prefacep. xix
Acknowledgmentsp. xxiii
Introduction: Understanding Citiesp. 1
1 Urban Change: Complexity and Emergencep. 17
2 Cells and Cities: The Rudiments of Computationp. 67
3 Laboratories for Growing Citiesp. 105
4 Desktop Simulators: Hypothetical Urban Evolutionp. 151
5 Agents and Cells, Actions and Interactionsp. 209
6 Local Movement: Agent-Based Models of Street Systems and Buildingsp. 263
7 The Dynamics of Small-Scale Spatial Eventsp. 319
8 Polynucleated Urban Landscapesp. 353
9 Modeling Urban Growth as a Spatial Epidemicp. 385
10 Self-Organized Criticality and Urban Developmentp. 425
11 The Fractal Cityp. 457
Conclusion: Understanding Modelsp. 515
Referencesp. 521
Author Indexp. 545
Subject Indexp. 553