Testing a Crime Control Model: Does Strategic and Directed Deployment of Police Officers Lead to Lower Crime?
Author(s) -
James P. McElvain,
Augustine J. Kposowa,
Brian Gray
Publication year - 2013
Publication title -
journal of criminology
Language(s) - English
Resource type - Journals
eISSN - 2090-7753
pISSN - 2090-777X
DOI - 10.1155/2013/980128
Subject(s) - software deployment , property crime , crime prevention , violent crime , crime control , police department , control (management) , criminology , interrupted time series , business , engineering , sociology , psychology , economics , criminal justice , management , psychiatry , psychological intervention , software engineering
The purpose of the paper was to investigate whether implementation of a crime control model (based, in part, on the concepts of COMPSTAT) in one southern California city was effective in reducing crime. Time series regression models were fitted to data collected from the Riverside County Sheriff’s Department, city of Perris, for the years 2000 through 2010. Additional data were collected from three other cities that served as controls. Results showed that the program was effective in reducing crime rates in Perris. The effect remained significant even after taking into account time trends and control cities. Analysis also found that while the program was more effective in lessening total and property crime rates, it was less so for violent crime rates. It was concluded that strategic and directed policing models (e.g., COMPSTAT, hot spot policing, etc.) may be more effective in crime reduction efforts than reactive policing methods
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