scholarly journals The effect of public surveillance cameras on crime clearance rates

Author(s):  
Yeondae Jung ◽  
Andrew P. Wheeler
2019 ◽  
Author(s):  
Yeondae Jung ◽  
Andrew Palmer Wheeler

Much research has examined the crime reduction benefits of public close-circuit television (CCTV) cameras, suggesting that cameras may not deter enough crime to justify their cost. Another benefit of CCTV though is its utility in investigations and in clearing cases, which has been much less studied. Using a sample of public crimes and case clearances in Dallas, Texas, we examine the efficacy that public CCTV cameras increase case clearance rates using a pre-post research design. We find that cases closer to cameras did have an increased clearance rate after the cameras were installed in Dallas. But the effects faded quite quickly in space, and were mostly limited to thefts. While our estimates here suggest the cameras are likely not cost-effective in this sample in terms of increasing clearances, it suggests there is potential to be more targeted in camera placement that might provide better justification for their (limited) use.


2021 ◽  
pp. 109861112110420
Author(s):  
Sungil Han ◽  
Jennifer LaPrade ◽  
EuiGab Hwang

While western countries have had a decentralized policing model for many years, some countries, such as South Korea, still employ a centralized, national police department. Responding to calls for reform, South Korea launched a pilot program and implemented a more decentralized policing structure in Jeju Island in 2006. This study adds to the policing literature by offering the empirical comparison of a region before and after decentralization of a police department. This study will examine the intervention effects of police decentralization in Jeju, specifically related to crime rates, crime clearance rates, victimization, trust in police, and fear of crime. Using propensity score matching and interrupted time series analysis, this study found that the decentralized policing intervention significantly reduced total crime, violent crime rates, and property crime rates that lasted throughout the intervention period, while improving crime clearance rates for violent crime, as well as reduced fear of crime among residents.


2018 ◽  
Vol 22 (1) ◽  
pp. 82-111 ◽  
Author(s):  
Thomas L. Scott ◽  
Charles Wellford ◽  
Cynthia Lum ◽  
Heather Vovak

Average crime clearance rates have remained remarkably stable in the United States since the 1980s, despite many advances in investigative technologies or fluctuations in crime. Taking these average trends at face value, some have suggested that this stability indicates that police departments can do little to alter their clearance rates. However, in this study, we find that the average trends mask substantial long-term variation in crime clearance among police agencies. Using group-based trajectory modeling, we test whether large U.S. police departments have reported uniquely different long-term clearance rate trends from 1981 to 2013 and what organizational factors might contribute to different trends. As we discuss, this method has attractive qualities that provide for a more rigorous analysis compared with past comparative work. Our results show diverse levels and patterns of clearance both within individual crime types and across multiple crime types that appear to covary with organizational factors. We explain how finite mixture modeling can advance both quantitative and qualitative research by identifying departmental differences in performance for further study.


Author(s):  
Nancy G. La Vigne ◽  
Samantha S. Lowry ◽  
Joshua A. Markman ◽  
Allison M. Dwyer

2018 ◽  
Vol 43 (4) ◽  
pp. 477-493 ◽  
Author(s):  
Jeffrey J. Roth

Research on the factors that influence crime clearance rates has primarily studied violent crimes in large cities. However, property crimes are among the most commonly occurring and least frequently cleared offenses, and the majority of police departments in the United States serve small jurisdictions. Thus, this study undertook an examination of the predictors of clearance rates for burglary, larceny, and vehicle theft in a sample of agencies serving populations of 50,000 people or fewer. Independent variables included both policing factors (e.g., workload, funding, broken windows arrests) and social disorganization indicators (e.g., residential instability, poverty). Negative binomial regression analyses revealed variation in the significance of the predictors across the three crimes. Additionally, many predictors found to be influential in prior work were insignificant in this study, which suggests differences in the nature of crime clearance between large cities and smaller jurisdictions and a need for further research in this area.


Sign in / Sign up

Export Citation Format

Share Document