About this book
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.
Burglary and Security What Works in Crime Prevention Evidence-Based Crime Policy Crime Drop in England Household Burglary Neighborhood Watch Domestic Burglary Housing Burglar Alarms
- Book Title Reducing Burglary
- DOI https://doi.org/10.1007/978-3-319-99942-5
- Copyright Information Springer Nature Switzerland AG 2018
- Publisher Name Springer, Cham
- eBook Packages Law and Criminology Law and Criminology (R0)
- Hardcover ISBN 978-3-319-99941-8
- eBook ISBN 978-3-319-99942-5
- Edition Number 1
- Number of Pages XXV, 281
- Number of Illustrations 57 b/w illustrations, 0 illustrations in colour
Criminology and Criminal Justice, general
Urban Geography / Urbanism (inc. megacities, cities, towns)
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