Searching for Situational Patterns in Cannabis Dealing, Possession and Use in a Scandinavian Context

Abstract

AbstractAlthough cannabis is the most frequent illicit drug consumed in Sweden, little is known about the situations in which cannabis trade, possession and use occur. Following a recent strand of international research on the effect of recreational drugs on crime, this study uses a unique specially tailored database, Geographical Information Systems (GIS) and regression models, to investigate the situational conditions of cannabis offenses as they are detected in Stockholm, Sweden. Cannabis coincides with the location of drug markets initially delimited by the police but also extends over to locations far from the radar of the police, such as private residences (comfort places). Modeling results indicate that several land uses (convergent public places) have significant predictive value of the geography of cannabis offenses after controlling for other neighborhood characteristics. The article finishes by stating new research questions and making recommendations for practice.