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The Kansas City, Missouri Police Department sought to reduce violent crime with an evidence-based approach to problem analysis and intervention planning. Informed by hot spot analysis and risk terrain modeling, police and their community partners implemented a place-based crime intervention program focused on key attractors and generators of the environmental backcloth. Target and comparison areas were selected for an outcome evaluation. During the 1-year program time period, violent crimes decreased significantly by over 22%. There was both a significant spatial diffusion of benefits and significantly fewer police officer-initiated actions resulting in arrests or citations. Crime prevention was achieved without an abundance of law enforcement actions against people located at the target areas. Implications for policy and practice are discussed within the contexts of police responses to urgent crime problems and data analytics. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Purpose -- The purpose of this paper is to examine the spatial influence of features of the physical environment on the risk of aggression toward law enforcement. Design/methodology/approach -- The spatial analytic technique, risk terrain modeling was performed on felonious battery data provided by the Chicago Police Department. Findings -- Out of the 991 batteries against law enforcement officers (LEOs) in Chicago, 11 features of the physical environment were identified as presenting a statistically significant spatial risk of battery to LEOs. Calls for service within three blocks of foreclosures and/or within a dense area of problem buildings pose as much as two times greater risk of battery to police officers than what is presented by other significant spatial factors in the model. Originality/value -- An abundance of existing research on aggression toward law enforcement is situated from the perspective of characteristics of the suspect or officer. The research advances the field of violence studies by illustrating the importance of incorporating physical features of the environment into empirical studies of aggression. Paper type Research paper [ABSTRACT FROM AUTHOR]

Comments on issues in managing citizens' calls to the police. Impact of the 9-1-1 system on the police; Purpose of creating the 3-1-1 number; Issues that arise from the discussion of 9-1-1 systems and their alternatives.

This paper examines the precipitous drop in crime rates in Edmonton reported over the past two years. Previous analysis shows that the major reasons for changes in crime rates include: reduction in the numbers of the at-risk population: deterioration in the social and economic climate: changes in laws; alterations in access to police; and changes in the proactive nature of policing. The results of analysis of data drawn from official files and community surveys from one city indicate that the drop in crime rates are a function of declines in property crime reporting: administrative decisions taken to alter the access to police resources for the public; and a shift towards community policing with an emphasis on problem solving and crime prevention. [ABSTRACT FROM AUTHOR]

Aggregate data from a sample of 23 Canadian cities are used to examine relationships among crime rates, police staffing rate& fear of crime, and citizens' crime prevention behaviors. Bivariate and path analyses reveal positive correlations between fear of crime and parallel production (crime prevention behaviors) and negative impacts of police force size on such behaviors Crime rates have both direct and indirect positive effects (via fear of crime) on parallel production. while police force size does not have any real effect on fear of crime. [ABSTRACT FROM AUTHOR]