CriPA (2013 – 2016)

Crime Predictive Analytics

Reliable predictions and risk assessments related to spatial and temporal developments in crime are indispensable strategic tools that can be used to combat crime. Predictive analytical methods that are suitable for this purpose are explored in CRIPA. In order to make long-term, large-scale predictions about developments in crime, trend models such as generalized additive models are used. Important influential factors on crime and social changes such as aging, migration or employment structures must be taken into account in these models. Short-term, small-scale predictive and risk models (e.g., risk terrain and near-repeat modeling), taken together with a corresponding representation in a geographic information system, allow the early identification of space-time related patterns and help the police form prevention measures.

Instrument: FFG, KIRAS

Role: Partner

Project website

Contact person: Michael Leitner