Using Modeling to Predict and Prevent Victimization

This work provides clear applicationof a newstatisticalmodeling technique thatcan be used to recognize patterns in victimization and prevent repeat victimization. The history of crimeprevention techniques rangefrom offender-based, to environment/situation-based, to victim-based.The authors of this work have found more accurate ways to predict and prevent victimization using astatisticalmodeling, based around crime concentration andsub-group profiling with regard to crime vulnerability levels, to predict areas and individuals vulnerable to crime. Following from this prediction, they propose policing strategies to improve crime prevention based on these predictions. With a combination of immediate actions and longer-term research recommendations, this work will be of interest to researchers and policy makers in focused on crime prevention, police studies, victimology and statistical applications.