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This work provides clear application of a new statistical modeling
technique that can be used to recognize patterns in victimization
and prevent repeat victimization. The history of crime prevention
techniques range from offender-based, to
environment/situation-based, to victim-based. The authors of this
work have found more accurate ways to predict and prevent
victimization using a statistical modeling, based around crime
concentration and sub-group profiling with regard to crime
vulnerability levels, to predict areas and individuals vulnerable
to crime. Following from this prediction, they propose policing
strategies to improve crime prevention based on these predictions.
With a combination of immediate actions and longer-term research
recommendations, this work will be of interest to researchers and
policy makers in focused on crime prevention, police studies,
victimology and statistical applications.
Domestic burglary has fallen significantly over the past 20 years
in many countries, but still remains a high volume crime. On top of
substantial financial loss and property damage, burglary also leads
to high levels of anxiety and fear of crime. The research presented
in this book represents the first systematic study of what actually
works in security interventions against burglary, with
cross-sectional data on different regions and socio-economic
population groups. This work provides an overview of the scope of
the problem and what can be done about it, drawing on extensive
research evidence from projects funded by the Economic and Social
Research Council (ESRC) Secondary Data Analysis Initiative (SDAI),
and other sources. It reports detailed findings about which
interventions are most effective for different population groups
and how these measures can be implemented. It includes burglary
prevention advice for homeowners, law enforcement and other public
agencies, and makes recommendations for future research. In
addition to being relevant to concerned citizens, police,
policy-makers and crime prevention practitioners, this book will
also be of interest to researchers in criminology and criminal
justice, particularly those working on security and crime
prevention, as well as urban planning and public policy.
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