https://doi.org/10.1177/1477370820968102
European Journal of Criminology
1–22
© The Author(s) 2020
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DOI: 10.1177/1477370820968102
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‘Surfing’ burglaries with
forced entry in Catalonia:
Large-scale testing of near
repeat victimization theory
Pere Boqué
Mossos d’Esquadra, Spain
Laura Serra and Marc Saez
University of Girona, Spain
CIBER Epidemiology and Public Health (CIBERESP), Spain
Abstract
In recent years, various academic studies have proposed crime forecasting models based on the
concept of repeat victimization. Some of them have been modelled from the area of differential
equations and others from the perspective of spatio-temporal statistics, within the framework of
point processes. These models have tended towards a certain sophistication in their formulation,
which at times impedes understanding of the predictive mechanism and how it adapts to different
realities. Predictive models that function well in one environment or society do not appear to do
so in others. In this article, the possibility of crime forecasting for burglaries with forced entry in
Catalonia is studied from the perspective of near repeat victimization on a larger territorial scale
than is usual. To this effect, the explicative and predictive possibilities of this criminological theory
are explored and a predictive system that does not require mathematical or statistical models is
proposed. We found that a large part of the series of burglaries with forced entry in residences
in Catalonia between 2014 and 2015 follow patterns of near repeat victimization. In addition,
the average intensity of burglaries in space–time was high, as was the standard deviation. This
system is adaptable to different environments and gives police forces the opportunity to improve
preventative strategies and to optimize resources using standard tools. Last, the limitations of this
approach are debated and new lines of investigation proposed that could increase its predictive
capacity without abandoning the concept of repeat victimization.
Corresponding author:
Laura Serra, Research Group on Statistics, Econometrics and Health (GRECS) and CIBER Epidemiology
and Public Health (CIBERESP), University of Girona, Carrer de la Universitat de Girona 10, Campus de
Montilivi, Girona, 17004, Spain.
Email: laura.serra@udg.edu
968102EUC 0 0 10.1177/1477370820968102European Journal of CriminologyBoqué et al.
research-article 2020
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