The night‐time economy (NTE) provides many opportunities for crime as there is an abundance of potential victims who are often intoxicated and clustered in a small geographical area. Previous research on NTE violence has primarily focused on assault. However, other offences are also common, such as robbery. This study focused on NTE‐related robbery using police recorded crime data relating to 1624 personal robberies (including attempts) from West Midlands Police, UK. The data was binary coded to identify and compare offence characteristics. Robbery offences in the NTE showed unique characteristics compared to robberies unrelated to this context. In particular, there were differences in alcohol, use of violence, injuries, approach style and crime locations. The findings of the current research align with theoretical frameworks from environmental criminology (e.g. crime generators and attractors), have implications for crime prevention and investigations and can feed into developing policing strategies that take into account the background context for offending.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.