Some released prisoners cost municipalities millions by reoffending, but don’t have to

One major consequence of the rising prison populations seen in the past 30 years has been the growth in the number of prisoners released into American communities every year, many of whom go on to commit further crimes. These crimes come with a cost to society. Using New Jersey as a case study, Michael Ostermann & Joel M. Caplan estimate that reoffending within three years of release was valued by the public at almost $6 billion, with an average cost of$80,000 per offense. These costs were also concentrated in the state’s most economically and socially disadvantaged areas. In light of these findings, they argue that not only is incarceration ineffective in cutting the costs of crime, but that policymakers should focus their rehabilitation efforts on those they determine are most likely to re-offend

CCTV as a Tool for Early Police Intervention: Preliminary Lessons from Nine Case Studies.

This study explores the prospect of utilizing CCTV as an early intervention mechanism to detect and disrupt street-level activity that can lead to violence. The analysis focuses on nine case studies in Newark, NJ, incorporating data from several sources, including video footage, computer-aided dispatch (CAD) system incident data, CAD event chronologies and face-to-face interviews with CCTV operators. The findings suggest that the benefits offered by CCTV, namely the instantaneous discovery and reporting of crime, may be rendered incon- sequential by the process times associated with the differential-response policy of police dispatch. Potential methods by which police can more proactively utilize CCTV to prevent crime are discussed

Facilitators and Impediments to Designing, Implementing, and Evaluating Risk-Based Policing Strategies Using Risk Terrain Modeling: Insights from a Multi-City Evaluation in the United States

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

Joint Utility of Event- Dependent and Environmental Crime Analysis Techniques for Violent Crime Forecasting

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

Crime in Context: Utilizing Risk Terrain Modeling and Conjunctive Analysis of Case Configurations to Explore the Dynamics of Criminogenic Behavior Settings.

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

Vulnerability and Exposure to Crime: Applying Risk Terrain Modeling to the Study of Assault in Chicago.

Prior research has applied risk assessment and spatial analysis techniques to the study of violence. This paper builds on those results, tying the practical outcomes of spatial risk analysis methods to broader spatial issues on the articulation of risky places for aggravated assault. We begin by conceptualizing key relationships, addressing the effects of environmental factors on creating distinct, identifiable areas that are conducive to crime. Propositions of the theory of risky places are posed and then empirically tested using a GIS based program, RTMDx, on aggravated assault data in an urban area. Given the current thinking about crime vulnerability based on concentration and spatial influence of features and events, this paper offers an analytical strategy to model risky places that combines the conceptual insights of crime emergence and persistence, advances in geo-spatial analytical techniques, and micro-level data

How the physical landscape of the urban environment affects drug dealing

Many illegal drugs are sold in open air markets on the street. But what determines where drug transactions take place? In new research, Jeremy D. Barnum, Walter L. Campbell, Sarah Trocchio, Joel M. Caplan, and Leslie W. Kennedy examine how drug dealers and buyers can take advantage of features of the urban environment in Chicago to find more effective places to make drug deals. Assessing 28 of these environmental features, they find that drug deals were much more likely to take place near to foreclosures, problem landlords and broken street lighting. They write that their findings could be used to inform more place-based policing strategies aimed at tackling drug markets

The Financial Implications of Merging Proactive CCTV Monitoring and Directed Police Patrol: A Cost-Benefit Analysis.

Objectives: 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. Methods: 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. Results: 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. Conclusions: 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

Analyzing the Influence of Micro-Level Factors on CCTV Camera Effect.

Objectives Despite the popularity of closed circuit television (CCTV), evidence of its crime prevention capabilities is inconclusive. Research has largely reported CCTV effect as ‘‘mixed’’ without explaining this variance. The current study contributes to the literature by testing the influence of several micro-level factors on changes in crime levels within CCTV areas of Newark, NJ. Methods Viewsheds, denoting the line-of-sight of CCTV cameras, were units of analysis (N = 117). Location quotients, controlling for viewshed size and control-area crime incidence, measured changes in the levels of six crime categories, from the pre-installation period to the post-installation period. Ordinary least squares regression models tested the influence of specific micro-level factors—environmental features, camera line-of-sight, enforcement activity, and camera design—on each crime category. Results First, the influence of environmental features differed across crime categories, with specific environs being related to the reduction of certain crimes and the increase of others. Second, CCTV-generated enforcement was related to the reduction of overall crime, violent crime and theft-from-auto. Third, obstructions to CCTV line-of-sight caused by immovable objects were related to increased levels of auto theft and decreased levels of violent crime, theft from auto and robbery. Conclusions The findings suggest that CCTV operations should be designed in a manner that heightens their deterrent effect. Specifically, police should account for the presence of crime generators/attractors and ground-level obstructions when selecting camera sites, and design the operational strategy in a manner that generates maximum levels of enforcement

Is the Punishment More Certain? An Analysis of CCTV Detections and Enforcement

The primary preventive mechanism of CCTV is considered to be deterrence. However, the relationship between CCTV and deterrence has been left impli- cit. Empirical research has yet to directly test whether CCTV increases the certainty of punishment, a key component of the deterrence doctrine. This study analyzes CCTV’s relation to punishment certainty in Newark, NJ. Across eight crime categories, CCTV and 9-1-1 calls-for-service case processing times and enforcement rates are compared through Mann-Whitney U and Fisher’s Exact tests, respectively, with a Holm-Bonferroni procedure correcting for multiple comparisons. ANOVA and negative binomial regression models further analyze the frequency of CCTV activity and the impact of various factors on the (downward) trend of detections and enforcement. Findings suggest that CCTV increases punishment certainty on a case-by-case basis. However, a reduction of CCTV activity caused by specific “surveillance barriers” likely minimized the effect of the enhanced enforcement