Drug law enforcement in an agent-based model: Simulating the disruption to street-level drug markets

Anne Dray; Lorraine Mazerolle; Pascal Perez; Alison Ritter

doi:10.4018/978-1-59904-591-7.ch018

Drug law enforcement in an agent-based model: Simulating the disruption to street-level drug markets

Anne Dray, Lorraine Mazerolle, Pascal Perez, Alison Ritter

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

21 Citations (Scopus)

Abstract

This chapter describes an agent-based model called SimDrugPolicing that explores the relative impact of three law enforcement strategies-standard patrol, hotspot policing, and problem-oriented policing-on an archetypal street-based illicit drug market. Using data from Melbourne (Australia), we simulate the relative effectiveness of these different drug law enforcement approaches. We examine the complex interactions between users, dealers, wholesalers, outreach workers and police to examine the relative effectiveness of the three drug law enforcement strategies, analyzing several outcome indicators such as the number of committed crimes, dealers' and users' cash, overdoses and fatal overdoses. Our results show that problem-oriented policing is the most effective approach to disrupting street level drug markets in a simulated urban environment.

Original language	English
Title of host publication	Artificial Crime Analysis Systems
Subtitle of host publication	Using Computer Simulations and Geographic Information Systems
Publisher	IGI Global
Pages	352-371
Number of pages	20
ISBN (Print)	9781599045917
DOIs	https://doi.org/10.4018/978-1-59904-591-7.ch018
Publication status	Published - 2008

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Drug law enforcement in an agent-based model: Simulating the disruption to street-level drug markets. / Dray, Anne; Mazerolle, Lorraine; Perez, Pascal et al.
Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems. IGI Global, 2008. p. 352-371.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Drug law enforcement in an agent-based model: Simulating the disruption to street-level drug markets

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