Explore crime prevention models and strategies. Learn about opportunities, environments, hotspots, risk factors, community safety, and offender decisions. Strengthen prevention planning, situational awareness, and safer organisational responses today.
The BEHAVE Investigative Framework by Alan Elangovan helps investigators connect behaviour, evidence, motive, timeline, vulnerability, risk, and findings. It supports fair, structured, evidence-based investigations by reducing bias, improving risk assessment, strengthening report writing, and helping investigators reach clear, defensible conclusions across criminal, workplace, school, healthcare, and security cases.
The Mica Endsley Situational Awareness Model explains perception, comprehension, and projection of environmental elements in dynamic settings. It helps investigators maintain awareness, anticipate developments, and make informed decisions, enhancing operational effectiveness, risk management, and response capabilities in complex investigative and security environments.
The Red Team Analysis Model, rooted in Military Strategy and intelligence practice, challenges assumptions by adopting an adversary perspective. It helps investigators identify vulnerabilities, test strategies, and anticipate threats, strengthening decision-making, reducing bias, and improving operational readiness in complex investigative and security environments.
The Intelligence Failure Analysis Model, grounded in Intelligence Analysis practice, examines why intelligence breakdowns occur. It analyses cognitive biases, information gaps, and organisational issues, helping investigators identify weaknesses, improve analytical processes, and prevent future failures, strengthening decision-making, accountability, and effectiveness in intelligence and investigative operations.
The Paul Brantingham and Patricia Brantingham Environmental Criminology Integration Model combines spatial, behavioural, and environmental factors to analyse crime patterns. It integrates routine activity, crime pattern, and rational choice perspectives, helping investigators understand offender movement, identify hotspots, and design targeted prevention and investigative strategies.
The Derek Cornish Crime Script Analysis Model breaks crimes into sequential steps, from preparation to completion. It helps investigators understand offender actions, identify intervention points, and disrupt criminal processes, supporting prevention strategies, situational analysis, and targeted investigative planning across different crime types.
The Pierre Margot Forensic Intelligence Model integrates forensic science with intelligence analysis to support proactive investigations. It uses trace evidence, patterns, and data interpretation to identify links between crimes, support decision-making, and enhance crime prevention, moving beyond traditional reactive forensic approaches toward strategic investigative intelligence.
The National Intelligence Model (NIM), developed by UK National Police, provides a structured approach to intelligence-led policing. It integrates data collection, analysis, and decision-making to prioritise threats, allocate resources, and support strategic and tactical operations, enhancing effectiveness in crime prevention and investigative processes.
The Jerry Ratcliffe 3i Model (Interpret, Influence, Impact) supports intelligence-led policing by linking crime analysis to decision-making. It helps investigators interpret data, influence operational responses, and assess outcomes, ensuring intelligence is effectively used to guide strategies, reduce crime, and improve policing and investigative performance.
The Herman Goldstein SARA Model (Scanning, Analysis, Response, Assessment) provides a structured problem-solving approach in policing. It helps investigators identify recurring issues, analyse causes, implement targeted responses, and evaluate effectiveness, supporting proactive crime prevention, community policing, and evidence-based decision-making in investigative and operational environments.
The Derek Cornish and Ronald V. Clarke Criminal Decision Process Model analyses how offenders make decisions before, during, and after crimes. It examines rational choices, risks, rewards, and situational factors, helping investigators understand behaviour, anticipate actions, and develop effective prevention, profiling, and investigative strategies.
The Alan Elangovan ALAN Model integrates behavioural analysis, structured questioning, and situational awareness to guide investigations. It emphasises adaptive thinking, layered information gathering, and real-time assessment, enabling investigators to detect deception, interpret intent, and make precise, evidence-based decisions in complex investigative environments.
The Use of Force Continuum Model guides law enforcement officers in applying proportionate, lawful, and accountable force. It supports decision-making, officer safety, public protection, de-escalation, documentation, and ethical policing by matching response levels to threat, resistance, and situational risk.
The Surveillance Detection Route Model, derived from Central Intelligence Agency tradecraft, focuses on identifying and evading surveillance through planned movement patterns. It enables investigators and operatives to detect hostile monitoring, confirm surveillance presence, and enhance operational security, supporting covert operations, counter-surveillance, and sensitive investigative missions.
The OSINT Investigation Model, influenced by Michael Bazzell, focuses on collecting and analysing publicly available information from digital and open sources. It supports investigators in identifying leads, verifying identities, tracking activities, and gathering intelligence ethically, enhancing investigative efficiency in cyber, financial, and criminal investigations.
The MITRE Corporation ATT&CK Framework is a comprehensive knowledge base of adversary tactics, techniques, and procedures. It enables investigators to analyse cyber threats, map attacker behaviour, strengthen detection, and improve incident response, supporting intelligence-driven cybersecurity investigations and defence strategies across complex digital environments.
The Lockheed Martin Cyber Kill Chain Model outlines stages of a cyberattack, from reconnaissance to actions on objectives. It enables investigators to detect, analyse, and disrupt threats at each phase, strengthening cybersecurity, incident response, and forensic investigations through structured understanding of attacker behaviour and intrusion processes.
The Harrison C. White Network Analysis Model examines relationships and interactions within criminal networks. It identifies key actors, communication patterns, and influence structures, enabling investigators to disrupt organized crime, uncover hidden connections, and target critical nodes, enhancing intelligence-led operations and strategic decision-making in complex investigative environments.
The Lawrence W. Sherman Hot Spot Policing Model focuses on identifying and targeting high-crime areas where offences cluster. By concentrating police resources in these hotspots, it enhances deterrence, disrupts criminal activity, and improves public safety, supporting data-driven decision-making and effective deployment strategies in modern investigative and policing environments.
The Paul Brantingham and Patricia Brantingham Crime Pattern Theory explains how crimes occur based on offenders’ routine movements within familiar environments. It highlights nodes, paths, and edges that shape opportunities, helping investigators predict crime locations, understand spatial behavior, and design targeted prevention and enforcement strategies effectively.
The James Q. Wilson and George L. Kelling Broken Windows Theory suggests that visible disorder, such as vandalism and neglect, encourages further crime. Early intervention, environmental maintenance, and proactive policing help prevent escalation, reinforce social norms, and support effective crime control and investigative awareness in public environments.
The Ronald V. Clarke Situational Crime Prevention Model focuses on reducing opportunities for crime by altering immediate environments. It applies practical techniques such as increasing effort, raising risks, reducing rewards, removing excuses, and limiting provocations. Widely used in security planning, it supports proactive prevention rather than reactive investigation strategies.
The Bow-Tie Risk Model influenced by Royal Dutch Shell visually links potential causes, preventive controls, consequences, and mitigation measures, enabling clear understanding of risk pathways and strengthening proactive risk management and incident prevention strategies.
The Root Cause Analysis influenced by Kaoru Ishikawa identifies underlying causes of problems through systematic investigation, using tools like fishbone diagrams and “5 Whys,” enabling effective corrective actions, prevention of recurrence, and continuous improvement in processes and investigations.
The Decision Tree Analysis Model influenced by John von Neumann and Oskar Morgenstern uses branching structures to map choices, probabilities, and outcomes, enabling systematic evaluation of risks, consequences, and optimal decisions in complex scenarios.
The Hypothesis Testing Model developed by Karl Popper emphasizes forming testable hypotheses and attempting to falsify them through evidence, enabling objective analysis, critical thinking, and systematic validation of conclusions in investigative and scientific inquiry.
The ABC Analysis Model developed by B. F. Skinner examines behavior through Antecedents, Behavior, and Consequences, helping identify triggers, actions, and outcomes to understand, predict, and modify behavior in investigative, educational, and organizational contexts.
The OODA Loop Model developed by John Boyd describes a rapid decision cycle of Observe, Orient, Decide, and Act, enabling individuals and organizations to adapt quickly, outpace adversaries, and maintain strategic advantage in dynamic, high-pressure environments.
The Intelligence Cycle Model developed by Sherman Kent describes a structured process of direction, collection, processing, analysis, and dissemination, enabling systematic production of actionable intelligence to support informed decision-making in security, policing, and national defense contexts.
The Fraud Triangle Model developed by Donald R. Cressey explains fraud through three elements—pressure, opportunity, and rationalization—highlighting how individuals justify dishonest acts, guiding prevention strategies by reducing opportunities, addressing pressures, and strengthening ethical controls within organizations.
The Threat Assessment Model influenced by the United States Secret Service evaluates potential threats by analyzing behaviors, intent, capability, and risk factors, enabling early identification, intervention, and prevention of targeted violence through structured, intelligence-driven assessment processes.
The Risk Assessment Model influenced by International Organization for Standardization evaluates risks through identification, analysis, and evaluation processes, enabling organizations to understand threats, assess likelihood and impact, and implement appropriate mitigation strategies for informed, structured decision-making.
The Fishbone Model developed by Kaoru Ishikawa visually maps potential causes of a problem across categories such as people, process, materials, and environment, enabling systematic root cause analysis, structured thinking, and identification of contributing factors for effective problem-solving.
The Modus Operandi Analysis Model influenced by Hans Gross examines recurring methods, techniques, and procedures used by offenders, enabling investigators to identify patterns, link crimes, and anticipate offender behavior for effective investigative planning and crime prevention.
The Inductive Profiling Model influenced by the FBI Behavioral Science Unit uses statistical data, past case patterns, and offender typologies to infer likely characteristics, behaviors, and motivations, supporting investigative direction through generalized profiling and comparative analysis.
The National Decision Model developed by the College of Policing provides a structured approach to decision-making, integrating information, risk assessment, powers, and ethical considerations to guide consistent, accountable, and proportionate actions in dynamic policing and investigative situations.
The Link Analysis Model influenced by Anacapa Sciences and IBM i2 visualizes relationships between people, events, and entities, enabling investigators to identify networks, patterns, and hidden connections, supporting intelligence-led investigations and strategic decision-making.
The Rational Choice Theory developed by Derek Cornish and Ronald Clarke explains crime as a result of rational decision-making, where offenders weigh risks, rewards, and opportunities, guiding prevention strategies by increasing perceived effort, risks, and reducing potential benefits.
The Routine Activity Theory developed by Lawrence Cohen and Marcus Felson explains crime as occurring when a motivated offender, suitable target, and absence of capable guardians converge, highlighting situational factors influencing criminal opportunities and prevention strategies.
The Problem-Oriented Policing Model developed by Herman Goldstein focuses on identifying underlying crime problems, analyzing root causes, and implementing tailored responses using the SARA process, enabling sustainable crime reduction through proactive, analytical, and community-focused policing strategies.
The Intelligence-Led Policing Model developed by Jerry Ratcliffe focuses on using data analysis, intelligence gathering, and risk assessment to guide proactive policing strategies, prioritize resources, and target high-risk offenders, locations, and criminal networks for effective crime prevention and control.
The Geographic Profiling Model developed by Kim Rossmo analyzes crime location patterns using spatial algorithms to predict an offender’s likely base, supporting investigative prioritization, resource allocation, and strategic decision-making in serial crime investigations.
The Investigative Psychology Model developed by David Canter applies psychological principles to analyze criminal behavior patterns, linking actions, locations, and offender characteristics to support profiling, investigative decision-making, and the systematic understanding of criminal conduct.
