Assessing the Risk of Repeat Victimization Using Structured and Unstructured Police Information

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 p...

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Detalles Bibliográficos
Autor principal: Geurts, Roos (Autor)
Otros Autores: Raaijmakers, Niels ; Delsing, Martinus Johanna Maria Henricus ; Spapens, A. C. ; Wientjes, Jacqueline ; Willems, Dick ; Scholte, Ron
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2023
En: Crime & delinquency
Año: 2023, Volumen: 69, Número: 9, Páginas: 1736-1757
Acceso en línea: Volltext (kostenfrei)
Volltext (kostenfrei)
Rights Information:CC BY 4.0
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Palabras clave:
Police
Predictive Validity
Repeat victimization
Risk assessment
Descripción
Sumario: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.
ISSN:1552-387X
DOI:10.1177/00111287211047533