Risk-Based Policing PDF Download

Author: Leslie W. Kennedy
Publisher:
ISBN: 0520295633
Category : Social Science
Languages : en
Pages : 166

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Book Description
"Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime while improving public safety and community relations. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. Case studies explore cities such as Colorado Springs, Glendale, Newark, Kansas City, and others. The book also demonstrates how Risk Terrain Modeling (RTM) can be extended to offer a more comprehensive view of prevention and deterrence"--Provided by publisher.

Author: Joel M. Caplan
Publisher: Univ of California Press
ISBN: 0520958802
Category : Social Science
Languages : en
Pages : 240

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Book Description
Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime, allocate resources, and implement custom crime and risk reduction strategies that are transparent, measurable, and effective. Risk Terrain Modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate forecasts of where crime will occur at the microlevel. RTM informs decisions about how the combined factors that contribute to criminal behavior can be targeted, connections to crime can be monitored, spatial vulnerabilities can be assessed, and actions can be taken to reduce worst effects. As a diagnostic method, RTM offers a statistically valid way to identify vulnerable places. To learn more, visit http://www.riskterrainmodeling.com and begin using RTM with the many free tutorials and resources.

Author: Richard Victor Ericson
Publisher: Clarendon Studies in Criminolo
ISBN: 0198265530
Category : Social Science
Languages : en
Pages : 506

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Book Description
The focus of this book is the policing of modern society and the risks involved. It explores various issues and factors effecting policing communities, particularly communication and police organization.

Author: Roberto Santos
Publisher: Rowman & Littlefield
ISBN: 1538126575
Category : Social Science
Languages : en
Pages : 171

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Book Description
Implementing effective crime reduction requires deliberate thought and effort to integrate processes into the police organization, its culture, and the day-to-day work. Stratified Policing: An Organizational Model for Proactive Crime Reduction and Accountability provides police leaders a clear path for institutionalization of crime reduction modeled after current police processes. It sets up an organization to more easily incorporate evidence-based strategies into everyday operations with the goal of changing a police organization from reactive to proactive. Stratified Policing incorporates what works for crime reduction and how to realistically make it work in police practice. The book details the specific and adaptable framework that infuses small changes by rank and division into daily activities that build on each other resulting in a comprehensive and focused approach for crime reduction. It also lays out a multifaceted accountability process that is fair and transparent. Importantly, the book dedicates entire chapters to methods for developing crime reduction goals, addressing immediate, short-term, and long-term crime and disorder problems, and implementing a stratified accountability meeting structure. Chapters include specific recommendations supported by research and grounded in what is realistic in police practice for application of evidence-based strategies, assignment of responsibility and accountability, crime analysis products, and assessment measures for impact on crime and disorder. The book is a culmination of the authors' 15 years of work and will synthesize their research, other publications on stratified policing, and provide new material for police leaders and professionals who are seeking an organizational structure to institutionalize crime reduction strategies into their day to day operations.

Author: Andrew Guthrie Ferguson
Publisher: NYU Press
ISBN: 147986997X
Category : Law
Languages : en
Pages : 267

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Book Description
Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309467136
Category : Law
Languages : en
Pages : 409

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Book Description
Proactive policing, as a strategic approach used by police agencies to prevent crime, is a relatively new phenomenon in the United States. It developed from a crisis in confidence in policing that began to emerge in the 1960s because of social unrest, rising crime rates, and growing skepticism regarding the effectiveness of standard approaches to policing. In response, beginning in the 1980s and 1990s, innovative police practices and policies that took a more proactive approach began to develop. This report uses the term "proactive policing" to refer to all policing strategies that have as one of their goals the prevention or reduction of crime and disorder and that are not reactive in terms of focusing primarily on uncovering ongoing crime or on investigating or responding to crimes once they have occurred. Proactive policing is distinguished from the everyday decisions of police officers to be proactive in specific situations and instead refers to a strategic decision by police agencies to use proactive police responses in a programmatic way to reduce crime. Today, proactive policing strategies are used widely in the United States. They are not isolated programs used by a select group of agencies but rather a set of ideas that have spread across the landscape of policing. Proactive Policing reviews the evidence and discusses the data and methodological gaps on: (1) the effects of different forms of proactive policing on crime; (2) whether they are applied in a discriminatory manner; (3) whether they are being used in a legal fashion; and (4) community reaction. This report offers a comprehensive evaluation of proactive policing that includes not only its crime prevention impacts but also its broader implications for justice and U.S. communities.

Author: Eric L. Piza
Publisher: Routledge
ISBN: 1000478947
Category : Social Science
Languages : en
Pages : 294

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Book Description
Evidence-based policing is based on the straightforward, but powerful, idea that crime prevention and crime control policy should be based on what works best in promoting public safety, as determined by the best available scientific evidence. Bringing together leading academics and practitioners, this book explores a wide range of case studies from around the world that best exemplify the integration of scientific evidence in contemporary policing processes. Chapters explore the transfer of scientific knowledge to the practice community, the role of officers in conducting police-led science, connection of work between police researchers and practitioners, and how evidence-based policing can be incorporated in daily police functions. The Globalization of Evidence-Based Policing is written for both researchers and practitioners interested in ensuring that scientific research is at center stage in policing. Agencies (including law enforcement agencies, research centers, and institutions of higher learning) can look to these case studies as road maps to better foster an evidence-based approach to crime prevention and crime control. Those already committed to evidence-based policing can look to these chapters to ensure that evidence-based policing is firmly institutionalized within their agencies. Accessible and compelling, this book is essential reading for all those interested in learning more about and doing more to bring about evidence-based policing.

Author: Joel M. Caplan, Ph.d.
Publisher: Createspace Independent Pub
ISBN: 9781453698532
Category : Social Science
Languages : en
Pages : 122

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Book Description
RISK TERRAIN MODELING (RTM) is an approach to risk assessment that standardizes risk factors to common geographic units over a continuous surface. Separate map layers representing the presence, absence, or intensity of each risk factor at every place throughout a terrain is created in a Geographic Information System (GIS), and then all risk map layers are combined to produce a composite "risk terrain" map with attribute values that account for all risk factors at every location throughout the geography. RTM aids in strategic decision-making and tactical action by showing where conditions are ripe for events to occur in the future. This manual is offered as a primer on risk in the criminal event and demonstrates effective ways to apply RTM to crime analysis and policing operations. It begins with a review of the RTM approach to spatial risk assessment and presents a short overview of the theoretical underpinnings of criminological theory that have addressed the social and environmental factors that contribute to crime patterns, hotspots, and risk terrains. The second part details the technical steps for analysts to take in using ArcGIS software to develop risk terrain maps. The third and final part presents ideas of how RTM works in strategic and tactical decision-making, particularly within the context of the ACTION model for risk-based intelligence-led policing. With this manual, analysts can produce risk terrain maps that give actionable meaning to the relationships that exist between place-based indicators and crime outcomes. Planners can use this approach to develop strategic models to forecast where crime problems are likely to emerge and to engage in steps that might reduce risks of crime occurring in the future.

Author: Karl Anton Roberts
Publisher: CRC Press
ISBN: 1466556676
Category : Law
Languages : en
Pages : 227

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Book Description
Honor-based violence (HBV) is a crime committed to protect or defend the honor of a family and/or a community. It is usually triggered by the victim‘s behavior, which the family and/or community regards as causing offense or dishonor. HBV has existed for thousands of years but has only very recently become a focus of law enforcement, policy makers,

Author: John McDaniel
Publisher: Routledge
ISBN: 0429560389
Category : Computers
Languages : en
Pages : 452

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Book Description
This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.