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"It's illegal to buy drugs from street dealers": a video-based pre-post study of a behavioral intervention to displace dealers from an Amsterdam open-air drug market
Netherlands Inst Study Crime & Law Enforcement, Boelelaan 1077, NL-1081 HV Amsterdam, Netherlands..
Malmö University, Faculty of Health and Society (HS), Department of Criminology (KR).ORCID iD: 0000-0002-4417-1253
Netherlands Inst Study Crime & Law Enforcement, Boelelaan 1077, NL-1081 HV Amsterdam, Netherlands.;Univ Copenhagen, Dept Sociol, Copenhagen, Denmark..
Netherlands Inst Study Crime & Law Enforcement, Boelelaan 1077, NL-1081 HV Amsterdam, Netherlands..
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2023 (English)In: Journal of Experimental Criminology, ISSN 1573-3750, E-ISSN 1572-8315Article in journal (Refereed) Epub ahead of print
Abstract [en]

Objectives: A high number of street dealers operate in the Red Light District in Amsterdam, The Netherlands. To displace the dealers, the Municipality of Amsterdam installed text-based light projections in a street attracting a high number of dealers.

Methods: To evaluate the intervention, we did a pre-post analysis of video footage from two CCTV cameras located in the street. In total, we analyzed 765 one-minute segments of footage from before and after the implementation.

Results: The implementation was followed by a four percentage point reduction in street dealers. However, the estimated effect shows fragileness with wide confidence intervals and a p-value just below 0.05, and a Bayesian robustness analysis suggests that the intervention was not associated with the outcome.

Conclusions: Analyzing CCTV-footage offers a unique avenue for evaluating small scale interventions in open-air drug markets. While we observed a decrease in the presence of dealers, the intervention still needs further validation.

Place, publisher, year, edition, pages
Springer, 2023.
Keywords [en]
Street dealers, Open-air drug markets, Public order, Systematic video analysis, CCTV footage, Place-based intervention, Pre-post analysis
National Category
Other Legal Research Criminology
Identifiers
URN: urn:nbn:se:mau:diva-64857DOI: 10.1007/s11292-023-09602-9ISI: 001129640900001Scopus ID: 2-s2.0-85180437075OAI: oai:DiVA.org:mau-64857DiVA, id: diva2:1824802
Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2025-02-20Bibliographically approved

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Moeller, Kim

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