Predicting crime across cities and regions : a comparative analysis of predictive modelling in three Belgian settings

The current study examines whether the predictive modelling of crime can be applied consistently across different urban settings. An ensemble network was applied to generate crime predictions regarding three specific urban settings, for which both crime and supporting data were employed spanning the period from 2012-2016. For each setting, prediction performance measures were calculated and compared per crime type. The results indicate that relatively better and consistent performance measures were achieved for a larger and denser urban setting (setting C), while for a smaller urban setting (s... Mehr ...

Verfasser: Hardyns, Wim
Khalfa, Robin
Dokumenttyp: journalarticle
Erscheinungsdatum: 2023
Schlagwörter: Law and Political Science / Predictive modelling / Crime forecasting / Machine Learning / Spatiotemporal crime analysis / Big data policing / ENSEMBLE / LAW / TRENDS / FUTURE / NODES
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26528326
Datenquelle: BASE; Originalkatalog
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Link(s) : https://biblio.ugent.be/publication/01GJ83P7W5HP8S4ERM2T79VQ4B