Woninginbraken tijdens COVID-19: de performantie van een voorspellend criminaliteitsmodel in tijden van pandemie

Abstract: „In this contribution, the authors examine the spatiotemporal distribution of residential burglaries in a Belgian police zone based on monthly residential burglaries before and during the COVID-19 crisis and assess the performance of a predictive crime model during this period. In general, compared to 2019, there were fewer home burglaries in 2020 during the COVID-19 crisis. Except for a few changes, the spatial distribution of residential burglaries in 2020 is largely similar to that of residential burglaries in 2019. The authors observe that the predictive crime model performs sign... Mehr ...

Verfasser: Hardyns, Wim
Khalfa, Robin
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Veröffentlicht in: Tijdschrift voor Criminologie, Volume: 64, Issue: 4, S. 372–395
Schlagwörter: Einbruchdiebstahl
Sprache: nl
ISSN: 0165-182X
DOI: 10.5553/TvC/0165182X2022064004003
Permalink: https://search.fid-benelux.de/Record/W2KWUL3P
Datenquelle: Corona Bibliografie Benelux; Originalkatalog
Powered By: ULB Münster
Link(s) : 10.5553/TvC/0165182X2022064004003

Abstract: „In this contribution, the authors examine the spatiotemporal distribution of residential burglaries in a Belgian police zone based on monthly residential burglaries before and during the COVID-19 crisis and assess the performance of a predictive crime model during this period. In general, compared to 2019, there were fewer home burglaries in 2020 during the COVID-19 crisis. Except for a few changes, the spatial distribution of residential burglaries in 2020 is largely similar to that of residential burglaries in 2019. The authors observe that the predictive crime model performs significantly worse at the start of the pandemic and when severe measures are taken, but that the model’s performance then rises again after a few months as the algorithm becomes more proficient in adjusting itself to big societal changes.“