Banning the biker gangs: Estimating the effects of civil bans on outlaw motorcycle gang members’ co-offending network

Abstract In an effort to combat cooperative criminal behavior by members of outlaw motorcycle gangs (OMCGs) Dutch law enforcement has successfully requested civil bans for six of the Netherlands most notorious OMCGs. While the civil bans are heralded as a triumph in the battle against OMCG crime, the effectiveness of these bans in disrupting co-offending among OMCG members has yet to be ascertained. In this study we use police registered co-offending data on 4,780 Dutch OMCG members to estimate the disruptive effect of the civil bans on Dutch OMCG members’ co-offending networks. To do so, we use nonparametric bootstrap hypothesis testing and sample 1,098 co-offending networks from the pre-ban period to gauge pre-ban co-offending network connectivity. Observed post-ban network connectivity is then compared to these bootstrapped mean values and confidence intervals to test whether the civil bans had a disruptive effect of OMCG members’ co-offending network. We find that compared to the co-offending networks distilled from the pre-civil ban period, the post-civil ban network was smaller, and more fragmented, suggesting a disruptive effect of the civil ban. Caveats to the data and analysis, and ramifications for policy are addressed.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-10
DOI
https://doi.org/10.21203/rs.3.rs-11471771/v1
Primary Topic
Crime, Illicit Activities, and Governance
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Banning the biker gangs: Estimating the effects of civil bans on outlaw motorcycle gang members’ co-offending network

Teun van Ruitenburg, Arjan Blokland, Wouter van der Leest, Sjoukje van Deuren et al.
Research Square
Crime, Illicit Activities, and Governance
preprint

Banning the biker gangs: Estimating the effects of civil bans on outlaw motorcycle gang members’ co-offending network

Teun van Ruitenburg, Arjan Blokland, Wouter van der Leest, Sjoukje van Deuren, Robby Roks
preprint en

Abstract

Abstract In an effort to combat cooperative criminal behavior by members of outlaw motorcycle gangs (OMCGs) Dutch law enforcement has successfully requested civil bans for six of the Netherlands most notorious OMCGs. While the civil bans are heralded as a triumph in the battle against OMCG crime, the effectiveness of these bans in disrupting co-offending among OMCG members has yet to be ascertained. In this study we use police registered co-offending data on 4,780 Dutch OMCG members to estimate the disruptive effect of the civil bans on Dutch OMCG members’ co-offending networks. To do so, we use nonparametric bootstrap hypothesis testing and sample 1,098 co-offending networks from the pre-ban period to gauge pre-ban co-offending network connectivity. Observed post-ban network connectivity is then compared to these bootstrapped mean values and confidence intervals to test whether the civil bans had a disruptive effect of OMCG members’ co-offending network. We find that compared to the co-offending networks distilled from the pre-civil ban period, the post-civil ban network was smaller, and more fragmented, suggesting a disruptive effect of the civil ban. Caveats to the data and analysis, and ramifications for policy are addressed.

Research Square
Netherlands Institute for the Study of Crime and Law Enforcement (NL), Vrije Universiteit Amsterdam (NL), Erasmus University Rotterdam (NL)
Crime, Illicit Activities, and Governance
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.

Laika access coming soon