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Systems 2016, 4(1), 9; doi:10.3390/systems4010009

“Space, the Final Frontier”: How Good are Agent-Based Models at Simulating Individuals and Space in Cities?

1
School of Geography, University of Leeds, Leeds LS2 9JT, UK
2
Computational Social Science Program, George Mason University, 4400 University Drive, MS 6B2, Fairfax, VA 22030, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Koen H. van Dam and Rémy Courdier
Received: 5 December 2015 / Revised: 18 January 2016 / Accepted: 19 January 2016 / Published: 26 January 2016
(This article belongs to the Special Issue Agent-Based Modelling of City Systems)
View Full-Text   |   Download PDF [963 KB, uploaded 26 January 2016]   |  

Abstract

Cities are complex systems, comprising of many interacting parts. How we simulate and understand causality in urban systems is continually evolving. Over the last decade the agent-based modeling (ABM) paradigm has provided a new lens for understanding the effects of interactions of individuals and how through such interactions macro structures emerge, both in the social and physical environment of cities. However, such a paradigm has been hindered due to computational power and a lack of large fine scale datasets. Within the last few years we have witnessed a massive increase in computational processing power and storage, combined with the onset of Big Data. Today geographers find themselves in a data rich era. We now have access to a variety of data sources (e.g., social media, mobile phone data, etc.) that tells us how, and when, individuals are using urban spaces. These data raise several questions: can we effectively use them to understand and model cities as complex entities? How well have ABM approaches lent themselves to simulating the dynamics of urban processes? What has been, or will be, the influence of Big Data on increasing our ability to understand and simulate cities? What is the appropriate level of spatial analysis and time frame to model urban phenomena? Within this paper we discuss these questions using several examples of ABM applied to urban geography to begin a dialogue about the utility of ABM for urban modeling. The arguments that the paper raises are applicable across the wider research environment where researchers are considering using this approach. View Full-Text
Keywords: cities; agent-based modeling; big data; crime; retail; space; simulation cities; agent-based modeling; big data; crime; retail; space; simulation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Heppenstall, A.; Malleson, N.; Crooks, A. “Space, the Final Frontier”: How Good are Agent-Based Models at Simulating Individuals and Space in Cities? Systems 2016, 4, 9.

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