Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals

By Michael Batty. 2007

1,364 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aae94747f1e7a006fe9a4485042c1d643f234816

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Citations in the corpus

Complexity Theories of Cities: Achievements, Criticism and Potentials (2012, background): “In the introduction to his Cities and Complexity Batty (2005) notes that CTC have provided sound theoretical basis with mathematical formalism to the intuitive ideas 1 This paper is taken from Chap.”
Urban spatial order: street network orientation, configuration, and entropy (2018, unknown): “Accordingly, researchers have recently devoted much attention to street network patterns, performance, complexity, and configuration (Barthelemy, Bordin, Berestycki, & Gribaudi, 2013; Batty, 2005; Masucci, Stanilov, & Batty, 2013).”
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “The DT concept is well aligned with the idea of smart cities as complex systems [254] that show real-time behavior as well as emerging ones in the long run.”
Agent-Based Modeling in Marketing: Guidelines for Rigor (2011, methodology): “a complex retail environment None as of yet Batty (2005), Torrens (in”
Saliency detection via Cellular Automata (2015, methodology): “Cellular Automata has been applied to simulate the evolution process of many complicated dynamic systems [4, 9, 10, 28, 29].”
Simulating Emergent Urban Form Using Agent-Based Modeling: Desakota in the Suzhou-Wuxian Region in China (2007, methodology): “…these objects a more realistic form by dividing them into urban entrepreneurs/developers and farmers, elaborating the search process as one of profit maximizing where the various accessibility and land suitability attributes are considered as relevant to the market process (Xie and Batty 2005).”
An agent-based approach to model future residential pressure on a regional landscape (2009, methodology): “New theories and new applications are needed to better understand urban dynamics and complexity: properties that lead to multiple, interacting and conflicting processes, fractal dimensionality, self-similarity, self-organisation, local interactions and emergence (amongst others: Torrens 2002; Barred”
Systemic Risks in Society and Economics (2010, unknown): “1) [6–38].”
Clustering Patterns of Urban Built-up Areas with Curves of Fractal Scaling Behaviour (2010, background): “The analysis of urban built-up areas is a fascinating and complex topic (Batty, 2005; Conzen, 2001; Levy, 1999).”
An agent‐based model of farmer decision‐making and water quality impacts at the watershed scale under markets for carbon allowances and a second‐generation biofuel crop (2011, background): “To date, ABM has been applied to a wide range of disciplines, including ecological modeling [Grimm and Railsback, 2005], urban development [Batty, 2005], business and finance [Ehrentreich, 2008; North and Macal, 2007], and energy policy [Wittmann, 2008].”
Understanding Road Usage Patterns in Urban Areas (2012, background): “In contrast, the rapidly increasing penetration rates and massive usage of mobile phones, with towers densely located in urban areas, can provide the most detailed information on daily human mobility 16–20 across a large segment of the population 19–25 .”
A theoretical framework for evolutionary economic geography: industrial dynamics and urban growth as a branching process (2007, background): “…models account for path dependence in which each event changes the probability of a next event to occur (Simon, 1955; David, 1985; Arthur, 1989).2 Stochastic models of urban growth have a long intellectual history (Simon, 1955; Robson, 1973; Arthur, 1987; Krugman, 1996; Batty, 2005; Pumain, 2006).”