State of the Art in Agent-Based Modeling of Urban Crime: An Overview

Agent-based modeling (ABM) is a type of computer simulation that creates a virtual society and allows controlled experimentation. ABM has the potential to be a powerful tool for exploring criminological theory and testing the plausibility of crime prevention interventions when data are unavailable,...

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Bibliographic Details
Main Author: Groff, Elizabeth (Author)
Contributors: Johnson, Shane D. ; Thornton, Amy
Format: Electronic Article
Language:English
Published: 2019
In: Journal of quantitative criminology
Year: 2019, Volume: 35, Issue: 1, Pages: 155-193
Online Access: Presumably Free Access
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Keywords:
Agent-based modeling
Model documentation
Strengthening criminological theory
Urban Crime
Urban crime
Description
Summary:Agent-based modeling (ABM) is a type of computer simulation that creates a virtual society and allows controlled experimentation. ABM has the potential to be a powerful tool for exploring criminological theory and testing the plausibility of crime prevention interventions when data are unavailable, when they would be unethical to collect, or when policy-makers need an answer quickly. This paper takes stock of the current literature to discuss the potential contributions of ABM, assess current practice, identify shortcomings that threaten the validity of findings using ABM, and to make suggestions regarding the construction and communication of future work using ABM.
ISSN:1573-7799
DOI:10.1007/s10940-018-9376-y