Abstract
This book presented original and innovative research which has direct practical and policy implications for burglary security. The concluding chapter provides a synthesis of the research evidence discussed in the previous chapters addressing three broad themes: burglary trends and patterns, which security devices work and how and burglary prevention lessons. The chapter ends with suggestions for future research.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
The most prominent were digital locks and caretakers which are more common in French apartments (than houses and hardly exist in the UK).
- 3.
As 85 percent of households in England and Wales live in houses, the contradictory finding in relation to this type of housing between the two countries is not a statistical artefact.
- 4.
Apart from a conference presentation mentioned in Chap. 5 (Tseloni 2011), to date such analyses have tested the effects of routine activities and social disorganisation on burglary victimisation but have not specifically examined the independent effects of particular security devices and their combinations (Tseloni 2006).
References
Cromwell, P., & Olson, J. N. (2004). Breaking and entering: Burglars on burglary. Belmont: Wadsworth.
De Waard, J. (2015, June 8–10). Explaining the crime drop in The Netherlands: The importance of comparisons with other industrialised countries. Session on Towards a more effective and efficient judicial chain: Making use of international data. Stockholm Criminology Symposium 2015.
Dinisman, T., & Moroz, A. (2017). Understanding victims of crime. London: Victim Support.
Farrell, G., Tseloni, A., Mailley, J., & Tilley, N. (2011). The crime drop and the security hypothesis. Journal of Research in Crime and Delinquency, 48(2), 147–175.
McLachlan, G. J., & Peel, D. (2000). Finite mixture models. New York: Wiley.
Mullahy, J. (1986). Specification and testing of some modified count data models. Journal of Econometrics, 33, 341–365.
Ojeda, H. S. (2015, June 8–10). Testing security hypothesis to explain burglary downward trends in Chile. Session on The crime drop. Testing hypotheses. Stockholm Criminology Symposium 2015.
Osborn, D. R., Ellingworth, D., Hope, T., & Trickett, A. (1996). Are repeatedly victimised households different? Journal of Quantitative Criminology, 12, 223–245.
Tilley, N., Thompson, R., Farrell, G., Grove, L., & Tseloni, A. (2015). Do burglar alarms increase burglary risk? A counter-intuitive finding and possible explanations. Crime Prevention and Community Safety, 17, 1–19.
Tseloni, A. (2006). Multilevel modelling of the number of property crimes: Household and area effects. Journal of the Royal Statistical Society Series A-Statistics in Society, 169(Part 2), 205–233.
Tseloni, A. (2011, December 13). Household burglary victimisation and protection measures: Who can afford security against burglary and in what context does it matter? Crime Surveys Users Meeting, Royal Statistical Society, London. Available online: http://www.ccsr.ac.uk/esds/events/2011-12-13/index.html.
Tseloni, A., Mailley, J., Farrell, G., & Tilley, N. (2010). Exploring the international decline in crime rates. European Journal of Criminology, 7(5), 375–394.
Vollaard, B., & van Ours, J. C. (2011). Does regulation of built-in security reduce crime? Evidence from a natural experiment. The Economic Journal, 121, 485–504.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Tseloni, A., Thompson, R., Tilley, N. (2018). Conclusions: Reducing Burglary – Summing Up. In: Reducing Burglary. Springer, Cham. https://doi.org/10.1007/978-3-319-99942-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-99942-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99941-8
Online ISBN: 978-3-319-99942-5
eBook Packages: Law and CriminologyLaw and Criminology (R0)