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

Dray Anne, Mazerolle Lorraine, Perez Pascal, Ritter Alison. 2008. Drug law enforcement in an agent-based model : Simulating the disruption to street-level drug markets. In : Artificial crime analysis systems: using computer simulations and geographic information systems. Liu Lin, Eck John. Hershey : Information Science Reference, 352-371. ISBN 978-1-59904-591-7

Résumé : 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.

Mots-clés Agrovoc : substance toxique, analyse de système, modèle de simulation, corruption, produit transformé, législation, marché, anthropologie sociale, marketing, vente au détail

Mots-clés complémentaires : Drogue

Classification Agris : E50 - Sociologie rurale
U10 - Informatique, mathématiques et statistiques
000 - Autres thèmes

Champ stratégique Cirad : Hors axes (2005-2013)

Auteurs et affiliations

• Dray Anne, ANU (AUS)
• Mazerolle Lorraine, Griffith University (AUS)
• Perez Pascal, CIRAD-ES-UPR GREEN (AUS)
• Ritter Alison, UNSW Sidney (AUS)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/543690/)

Métriques

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