Urban Modeling
Cellular Automata & Agent-Based Models can provide city simulations whose behaviors we learn from. What are the strengths & weaknesses of this mode of engaging urban complexity?
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There is a large body of research that employs computational techniques - in particular agent based modeling (ABM) and cellular automata (CA) to understand complex urban dynamics. This research looks at rule based systems that yield emergent structures.
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Explore Urban Modeling further in the topics and collections below.
Non-Linearity
Nested Scales
Emergence
Driving Flows
Bottom-up Agents
Variables
Multiple Equilibria
Local Interactions
Iterations
Feedback
Building Blocks
Bifurcations
Attractor States
Parents
Urban Modeling is part of the following collections.
Power Laws
Driving Flows
Denise Pumain
Complexity & Urbanism
Bottom-up Agents
Emergence
Nested Scales
Non-Linearity
Mike Batty
Peter Allen
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Cite this page:
Wohl, S. (2019, 13 November). Urban Modeling. Retrieved from https://kapalicarsi.wittmeyer.io/taxonomy/urban-computational-modeling
Urban Modeling was updated November 13th, 2019.
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Urban Modeling
This is a default subtitle for this page. Read more and see related content for Denise Pumain →Urban Computational Modeling
Mike Batty is one of the key contributors to modeling cities as Complex Adaptive Systems
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This is a default subtitle for this page. Read more and see related content for Peter Allen →This is a list of Terms that Urban Modeling is related to.
Complex System behaviors often exhibit power-laws: with a small number of system features wielding a large amount of system impact.
Power laws are particular mathematical distribution that appear in contexts where a very small number of system events or entities exist that, while rare, are highly impactful, alongside of a very large number of system events or entities exist that, while plentiful, have very little impact. Power laws arise in both natural and social system, in contexts as diverse earthquake behaviors, city population sizes, and word frequency use.
'Normal' vs 'Power Law' Distributions
Complex systems are often characterized by power law distributions. A power law is a kind of mathematical distribution that we see in many different kinds of systems. It has different properties from a well known distribution - a 'bell curve' 'normal' or 'Gaussian' distribution.
Let's look at the two here:
Read more and see related content for Power Laws →
This is a list of Urban Fields that Urban Modeling is related to.
This is a list of Key Concepts that Urban Modeling is related to.
Complex System behaviors often exhibit power-laws: with a small number of system features wielding a large amount of system impact.
Power laws are particular mathematical distribution that appear in contexts where a very small number of system events or entities exist that, while rare, are highly impactful, alongside of a very large number of system events or entities exist that, while plentiful, have very little impact. Power laws arise in both natural and social system, in contexts as diverse earthquake behaviors, city population sizes, and word frequency use.
'Normal' vs 'Power Law' Distributions
Complex systems are often characterized by power law distributions. A power law is a kind of mathematical distribution that we see in many different kinds of systems. It has different properties from a well known distribution - a 'bell curve' 'normal' or 'Gaussian' distribution.
Let's look at the two here:
Read more and see related content for Power Laws →
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