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In the last two decades, closed-circuit television (CCTV) surveillance cameras have come to occupy a central role in contemporary crime prevention across the world. Widely viewed as the “internatio...

Private security personnel play an important but largely overlooked role in the operation of closed-circuit television (CCTV) surveillance to prevent crime in public and private areas. This role can take a number of forms, including active monitoring of cameras. Drawing upon a global database of CCTV evaluations ( N = 165), this article examines the function and performance of private security personnel as related to the effectiveness of CCTV. Findings indicate that CCTV schemes operated by private security personnel generated larger crime prevention effects than those operated by police or those using a mix of police and security personnel. Policy and research implications are discussed.

Despite rapid growth in criminological studies of police technology, examinations of police land mobile radios are absent in the literature. This is troubling given the central role mobile radios s...

Closed-circuit television (CCTV) and body-worn video cameras (BWVCs) have rapidly spread throughout policing. Such widespread deployment has heightened the importance of identifying best practices for both of these technologies. The research community has worked toward the identification of such best practices, with bodies of knowledge emerging for both CCTV and BWVCs over recent decades. Given its earlier emergence, research on CCTV is more developed. Nonetheless, the BWVC literature is quickly becoming robust, with BWVC research developing at a much more rapid pace than research on most other police technologies. This essay reviews the CCTV and BWVC literatures across four main areas of inquiry: (1) program effect and common outcome measures, (2) contextual factors influencing program effect, (3) intervention costs, and (4) implementation issues. Specific attention is paid to knowledge gaps within the CCTV literature and how BWVC research can avoid (or, in certain cases, already has avoided) similar knowledge gaps.

The contemporary policing literature contains numerous examples of partnerships between academic researchers and police agencies. Such efforts have greatly contributed to evidence-based policing by increasing the knowledge base on effective strategies. However, research has demonstrated that successful collaboration between researchers and practitioners can be a challenge, with various organizational and inter-agency factors presenting difficulties at various stages of the process. Additionally, applied research can oftentimes face implementation challenges when the time comes to convert research into practice. The current study contributes to the literature by discussing researcher/practitioner partnerships and program implementation in the context of a multi-city risk-based policing project in the United States. We conceptualize police interventions as contingent on four distinct phases: 1) problem analysis, 2) project design, 3) project implementation, and 4) project evaluation. In this project, the research partners were able to successfully complete each phase in certain cities while the project experienced difficulty at one or more phases in other cities. We discuss these disparate experiences, identifying factors that facilitate or impede successful completion of each step. Policy implications and recommendations for future risk-based policing interventions are discussed.

The purpose of this study is to compare a specialized community-oriented policing (COP) unit to a reactive unit on officer perceptions of public contact and officer perceptions of job performance. ...

Crime analysts play a pivotal role in evidence-based policing by readily diagnosing the nature of crime and disorder problems. Such analysis products are key in the design of evidence-based strategies. The role of analysts in the subsequent process of evidence-based policing, the evaluation of programs to determine what works, is less known. The current study seeks to fill this gap in the literature through a survey of the International Association of Crime Analyst Membership. Findings suggest that program evaluation lies on the periphery of the crime analysis profession. Across all measures incorporated in this study, program evaluation was emphasized less than all other crime analysis functions. Findings of logistic regression models further suggest that, for the most part, no specific factors are associated with increased levels of program evaluation experience. We conclude with a discussion of how crime analysts can become more involved in evaluations of police programs and strategies.

Risk terrain modeling (RTM) is a geospatial crime analysis tool designed to diagnose environmental risk factors for crime and identify the places where their spatial influence is collocated to produce vulnerability for illegal behavior. However, the collocation of certain risk factors’ spatial influences may result in more crimes than the collocation of a different set of risk factors’ spatial influences. Absent from existing RTM outputs and methods is a straightforward method to compare these relative interactions and their effects on crime. However, as a multivariate method for the analysis of discrete categorical data, conjunctive analysis of case configurations (CACC) can enable exploration of the interrelationships between risk factors’ spatial influences and their varying effects on crime occurrence. In this study, we incorporate RTM outputs into a CACC to explore the dynamics among certain risk factors’ spatial influences and how they create unique environmental contexts, or behavior settings, for crime at microlevel places. We find that most crime takes place within a few unique behavior settings that cover a small geographic area and, further, that some behavior settings were more influential on crime than others. Moreover, we identified particular environmental risk factors that aggravate the influence of other risk factors. We suggest that by focusing on these microlevel environmental crime contexts, police can more efficiently target their resources and further enhance place-based approaches to policing that fundamentally address environmental features that produce ideal opportunities for crime.

Research Summary: The current study analyzes the crime reduction effect of a police sub-station operating within a business improvement district in Newark, NJ. Synthetic control methods were used to create a control group that was statistically equivalent to the cumulative street units in the target area. Significant reductions of burglary and motor vehicle theft were observed in the target area as compared to a synthetic control area over the post-intervention period. Robbery and theft from auto, conversely, suffered from spatial displacement. Of the six police actions included in the process evaluation, quality-of-life summonses and directed patrols increased in the post-intervention period, while parking summonses significantly decreased. Policy Implications: Results of this study suggest that the effect of sub-stations on crime likely depends on certain contextual factors. Newark’s sub-station was not a stand-alone facility, but the headquarters of a police unit given jurisdiction over the target area. Therefore, the opening of the sub-station represented an increase in visible police presence. The effect of the sub-station was heightened when accompanied by increases in proactive policing activities. Agencies wishing to effectively address robbery and theft from auto may have to design sub-station strategies in a manner that better influences offender decision making in order to prevent displacement.

This study measures the effect of CCTV in Newark, NJ across three separate crime categories: auto theft, theft from auto, and violent crime. CCTV viewsheds, denoting camera line-of-sight, were units of analysis. Viewsheds for treatment units were created by digitizing live CCTV footage within a geographic information system (GIS). Control viewsheds were created with GIS tools and aerial imagery from Google maps. Treatment cases were matched with control cases via propensity score matching (PSM) to ensure statistical equivalency between groups. Effect was measured via odds ratios and average treatment on the treated statistics. Findings offer modest support for CCTV as a deterrent against auto theft while demonstrating no effect on the other crime types. These results suggest that CCTV appears to be a viable option for jurisdictions wishing to target auto theft. Agencies suffering from other street-level crime problems may not benefit from CCTV and may need to deploy CCTV alongside other evidence-b...

This study presents a cost–benefit analysis of an intervention pairing proactive CCTV monitoring with directed police patrol in Newark, NJ. A recent randomized control trial found that the strategy generated significant crime reductions in treatment areas relative to control areas. The current study focuses on the financial implications of the experimental strategy through a cost–benefit analysis. The study begins by measuring the costs and benefits associated with the experimental strategy, the findings of which can inform agencies with existing CCTV infrastructure. Follow-up analyses measure the costs and benefits of the intervention for agencies absent existing CCTV infrastructure, meaning a CCTV system would have to be funded in addition to the intervention outputs. Alongside overall benefits, this study presents the tangible cost savings afforded to the Criminal Justice system as well as to each of the separate criminal justice (CJ) system components: Policing, Courts, and Corrections. We found the experimental strategy to be highly cost effective for agencies with existing CCTV infrastructure. However, when the cost of the CCTV system is considered, the strategy is largely cost prohibitive. While the cumulative societal and criminal justice findings suggest some evidence of a modest cost savings, the strategy is highly cost prohibitive for each of the individual CJ system components when CCTV system costs are included. Results suggest that the experimental strategy is a worthwhile investment for agencies with existing CCTV infrastructure. Agencies absent CCTV may want to consider whether funds would be better allocated towards alternate strategies.

The effects of gang membership on individual social, behavior, cognitive, and health outcomes are well documented. Yet, research consistently has shown that gang membership and the boundaries of gangs are often fluid and amorphous. The current study examines how social proximity to a gang member in one's co-offending network influences the probability of being a gunshot victim. We re-create and analyze the social network of all individuals who were arrested, summonsed for a quality-of-life violation, and subjected to noncustodial police contacts in Newark, New Jersey, during a 1-year time period (N = 10,531). A descriptive network analysis finds an extreme concentration of fatal and nonfatal gunshot injuries within a small social network: Nearly one third of all shootings in Newark occur in a network that contains less than 4 percent of the city's total population. Furthermore, a series of logistic regression models finds that being directly or indirectly linked to a gang member in one's co-offending network has a significant effect on one's probability of being a gunshot victim. Implications of these findings for the study of gangs, gun violence, and a public health approach to violence are discussed.

Objectives: The current study contributes to the literature through a systematic social observation of the defensive actions of drug sellers within open-air retail markets. The study expands upon previous literature by incorporating a novel data collection and coding method. Methods: Video footage of narcotics transactions was extracted from the closed-circuit television (CCTV) system of the Newark, NJ Police Department. Researchers transcribed and coded the footage to measure the frequency of defensive actions incorporated by drug sellers. Fisher’s exact tests measured whether the frequency of each defensive action significantly differed across geographic setting or time of day. Results: The frequency of many defensive actions was significantly related to geographic setting and time of day. The strongest relationship was observed between the use of stash spots and setting. Overall, the findings suggest that drug sellers adopt tenets of Opportunity Theory to protect themselves from law enforcement, specifically by acting as guardians and place managers on their own behalf. Conclusions: This study extends prior techniques and provides an additional case study on the use of CCTV footage in the study of street-level crime. This methodology can be used in concert with more traditional ethnographic techniques in the study of the drug trade and in crime-and-place research in general.

Background: Evaluations are routinely conducted by government agencies and research organizations to assess the effectiveness of technology in criminal justice. Interdisciplinary research methods are salient to this effort. Technology evaluations are faced with a number of challenges including (1) the need to facilitate effective communication between social science researchers, technology specialists, and practitioners, (2) the need to better understand procedural and contextual aspects of a given technology, and (3) the need to generate findings that can be readily used for decision making and policy recommendations. Objectives: Process and outcome evaluations of technology can be enhanced by integrating concepts from human factors engineering and information processing. This systemic approach, which focuses on the interaction between humans, technology, and information, enables researchers to better assess how a given technology is used in practice. Subjects: Examples are drawn from complex technologies currently deployed within the criminal justice system where traditional evaluations have primarily focused on outcome metrics. Although this evidence-based approach has significant value, it is vulnerable to fully account for human and structural complexities that compose technology operations. Conclusions: Guiding principles for technology evaluations are described for identifying and defining key study metrics, facilitating communication within an interdisciplinary research team, and for understanding the interaction between users, technology, and information. The approach posited here can also enable researchers to better assess factors that may facilitate or degrade the operational impact of the technology and answer fundamental questions concerning whether the technology works as intended, at what level, and cost.

Studies have identified a robust association between children’s exposure to violence and their mental health. Yet, most of this research has been based on self-reported exposure and self-reported mental health. In this study, we used a new, map-based method via police data for measuring children’s exposure to violent crime and compared it to child self-reports and parent reports of exposure. Results suggest that child self-reports of violence exposure may not be valid except for exposure to murder, but police and parent reports of violent crime can reveal interesting relations between violence and mental health. Children showed higher levels of internalizing problems in the absence of police-reported murder and parent-reported robbery. Discussion emphasizes implications for measurement as well as theory building.

Violent crime incidents occurring in Irvington, New Jersey, in 2007 and 2008 are used to assess the joint analytical capabilities of point pattern analysis, hotspot mapping, near-repeat analysis, and risk terrain modeling. One approach to crime analysis suggests that the best way to predict future crime occurrence is to use past behavior, such as actual incidents or collections of incidents, as indicators of future behavior. An alternative approach is to consider the environment in which crimes occur and identify features of the landscape that would be conducive to crime. Thanks to advances in geographic information system technology and federally funded (free) software applications such as CrimeStat III or the Near Repeat Calculator, these methods have recently been made more accessible to “average” users. This study explores the information products that each method offers for the purposes of place-based violent crime forecasting and resource allocation. Findings help to answer questions about where, when, and why violent crimes occur in a jurisdiction. Ways in which event-dependent and environmental crime analysis techniques can be utilized as complementary instruments in a crime analyst’s tool kit are discussed in detail.