RT Article
T1 Predictive policing as a new tool for law enforcement?: recent developments and challenges
JF European journal on criminal policy and research
VO 24
IS 3
SP 201
OP 218
A1 Hardyns, Wim
A1 Rummens, Anneleen
LA English
YR 2018
UL https://krimdok.uni-tuebingen.de/Record/1583631976
AB Decision-making processes are increasingly based on intelligence gained from ‘big data’, i.e., extensive but complex datasets. This evolution of analyzing complex data using methods aimed at prediction is also emerging within the field of quantitative criminology. In the context of crime analysis, the large amount of crime data available can be considered an example of big data, which could inform us about current and upcoming crime trends and patterns. A recent development in the analysis of this kind of data is predictive policing, which uses advanced statistical methods to make the most of these data to gain useable new insights and information, allowing police services to predict and anticipate future crime events. This article presents the results of a literature review, supplemented with key informant interviews, to give insight into what predictive policing is, how it can be used and implemented to anticipate crime, and what is known about its effectiveness. It also gives an overview of the currently known applications of predictive policing and their main characteristics.
K1 Predictive policing
K1 Predictive analysis
K1 Big data
K1 Crime statistics
K1 Crime mapping
K1 Crime patterns
DO 10.1007/s10610-017-9361-2