Open drug scenes across city sizes: Socioeconomic status, crime patterns and community perspectives

<b>Aims:</b> Open drug scenes (ODS) have increasingly drawn the attention of the police and municipalities in Sweden. These locations, where illicit drugs are sold and/or consumed, are often associated with various forms of disorder and crime. While ODS are typically depicted as a phenomenon predominantly found in larger cities, their prevalence and characteristics in smaller cities remain underexplored. This study aims to analyse the patterns and characteristics of ODS, as identified by the police and municipalities, across a range of cities in southern Sweden. <b>Methods:</b> By utilising spatial and temporal analyses of police-reported crimes and demographic statistics, this research examines the characteristics of identified ODS and their connections to socioeconomic disadvantage. <b>Results:</b> The findings suggest that the identified ODS in smaller cities share similar patterns to those found in prior research and in larger urban areas, characterised by lower socioeconomic status and elevated crime rates. <b>Conclusions:</b> Police and municipalities in smaller cities identify places in their communities that closely resemble, although are not necessarily equivalent to, an ODS. Nevertheless, these places are disproportionately burdened by social problems and require targeted assistance.

Authors

Institutions

Publication Details

Journal
Nordic Studies on Alcohol and Drugs
Published
2025-03-17
DOI
https://doi.org/10.1177/14550725251327516
Citations
1
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
4.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Open drug scenes across city sizes: Socioeconomic status, crime patterns and community perspectives

Alberto Chrysoulakis, Mia-Maria Magnusson, Manne Gerell
1 citations
Nordic Studies on Alcohol and Drugs
Crime Patterns and Interventions
4.20
article

Open drug scenes across city sizes: Socioeconomic status, crime patterns and community perspectives

Alberto Chrysoulakis, Mia-Maria Magnusson, Manne Gerell
article en
1 citations

Abstract

<b>Aims:</b> Open drug scenes (ODS) have increasingly drawn the attention of the police and municipalities in Sweden. These locations, where illicit drugs are sold and/or consumed, are often associated with various forms of disorder and crime. While ODS are typically depicted as a phenomenon predominantly found in larger cities, their prevalence and characteristics in smaller cities remain underexplored. This study aims to analyse the patterns and characteristics of ODS, as identified by the police and municipalities, across a range of cities in southern Sweden. <b>Methods:</b> By utilising spatial and temporal analyses of police-reported crimes and demographic statistics, this research examines the characteristics of identified ODS and their connections to socioeconomic disadvantage. <b>Results:</b> The findings suggest that the identified ODS in smaller cities share similar patterns to those found in prior research and in larger urban areas, characterised by lower socioeconomic status and elevated crime rates. <b>Conclusions:</b> Police and municipalities in smaller cities identify places in their communities that closely resemble, although are not necessarily equivalent to, an ODS. Nevertheless, these places are disproportionately burdened by social problems and require targeted assistance.

Nordic Studies on Alcohol and DrugsVol. 42(3)
Malmö University (SE), Swedish Police Authority (SE)
Länsförsäkringar
Openalex Percentile: Top 9%
Crime Patterns and Interventions
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.