Which policing model seeks to predict where crime will occur based on historical data?

Predictive policing is a model that utilizes historical data to forecast potential future crime hotspots. This approach relies on advanced analytics and algorithms to identify patterns and trends in criminal activity. By examining past incidents, law enforcement agencies can allocate resources more effectively to areas that are statistically more likely to experience crime. This proactive strategy not only aids in crime prevention but also improves community safety and optimizes law enforcement operations.

While community-oriented policing emphasizes building relationships and partnerships within the community to enhance overall safety and address underlying issues, and intelligence-led policing focuses on using available information to make informed decisions for crime control, neither directly involves predicting future crime occurrences based on historical data like predictive policing does. Similarly, statistics modeling encompasses a broader range of applications and may not specifically target crime prediction in the law enforcement context. Thus, the unique characteristic of predictive policing in leveraging historical data for anticipating future crime makes it the correct choice in this context.