Which of the following strategies is part of intelligence-led policing?

The strategy focused on data-driven crime analysis to identify trends and hotspots is integral to intelligence-led policing. This approach relies on collecting and analyzing data to inform law enforcement strategies and tactics. By identifying specific patterns and areas where crime is more likely to occur, law enforcement can allocate resources more effectively, anticipate criminal behavior, and devise targeted interventions.

This data-centric methodology moves away from traditional reactive policing, emphasizing proactive measures based on solid empirical evidence. The application of statistical analysis and information gathering allows police agencies to create a clearer picture of the crime landscape, enabling a more strategic response to prevent future incidents.

The other strategies do not encompass the core principles of intelligence-led policing. Automated ticketing may enhance efficiency in processing traffic offenses but does not focus on broader crime trends. Random patrols might increase visibility in areas perceived as high-crime but do not rely on specific data to guide their implementation. Citizen input is valuable for community engagement and building trust, yet it doesn't primarily involve data analysis or trend identification essential for intelligence-led methodologies.