The Crime Prevention Section engages in research toward comprehensive insights into criminal offenders, their targets, and situational factors of incident locations, with the aim of contributing to the development of effective crime prevention policies.
Recent research projects include studies on the prevention of victimization among children in public spaces, studies on offense-type specific methods of geographic crime analyses, and studies on the impact of crime prevention measures on the occurrence of crime and the behavior of citizens.

Crime analyses with the combined use of GIS and statistical software
GIS and statistical software are used in combination to analyze when, where, and what kinds of crimes are taking place in order to promote effective and efficient policies for safe communities and crime reduction.

A structural equation of perceived risk and fear of crime
Multivariate analyses using various data sources, such as survey, census, and police records, provide insights regarding the causal model that neighborhood incivilities evoke fear of crime among residents, intervened by a perceived risk of crime.