3,208
Views
20
CrossRef citations to date
0
Altmetric
RESEARCH ARTICLES

Fear of crime and home security systems

Pages 4-14 | Published online: 24 Oct 2011
 

Abstract

Survey data of 1549 households in the Mexico City metropolitan area were analyzed to examine the relationship between fear of crime and home security systems. Ordinal regression analysis shows home security systems unrelated to fear of crime when home alone. Additionally, findings are that fear of crime is mostly felt by female, young, low-income individuals, and by those who do not trust their local police. Fear of crime is also felt by individuals living in neighborhoods perceived to be unsafe. Implications of these findings are discussed, and suggestions for police work and future research are also included.

Acknowledgements

I want to thank and congratulate Professor Ahmed El-Geneidy and his team of very competent graduate students at McGill University for their great assistance and friendly atmosphere during my visit in June 2008. I would also like to thank the journal referees for their very valuable comments.

Notes

aRead as a correlation.

aWhere 1 = very secure and 4 = not secure.

bSignificance in parentheses.

aWhere 1 = very secure and 4 = not secure.

bSignificance in parentheses.

cStatistically significant.

aSignificance in parentheses.

1. This study can be replicated from a comparative perspective. Survey data are available at: http://www.biiacs.cide.edu/

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 241.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.