RT Article
T1 Assessing the Risk of Repeat Victimization Using Structured and Unstructured Police Information
JF Crime & delinquency
VO 69
IS 9
SP 1736
OP 1757
A1 Geurts, Roos
A2 Raaijmakers, Niels
A2 Delsing, Martinus Johanna Maria Henricus 1965-
A2 Spapens, A. C. 1964-
A2 Wientjes, Jacqueline
A2 Willems, Dick
A2 Scholte, Ron
LA English
YR 2023
UL https://krimdok.uni-tuebingen.de/Record/1869126912
AB Following the EU Victim Directive, Dutch police officers are obliged to assess a victim?s vulnerability to repeat victimization. This study explored the utility of unstructured police information for the prediction of repeat victimization, as well as its incremental value over and above structured police information. Police records over a period of 6?years were retrieved for a sample of 116,680 victims. Unstructured information was transformed into numeric features using count-vector and TF/IDF methods. Classification models were built using decision tree and random forest models. AUC values indicate that a combination of structured and unstructured police information could be used to correctly classify a majority of repeat and non-repeat victims.
K1 Police
K1 Predictive Validity
K1 Repeat victimization
K1 Risk assessment
DO 10.1177/00111287211047533