Are you ready for the holiday shopping (crime) season?
Crime patterns change, and the time-of-day or day-of-week makes risky places even more fluid. Holiday shopping can make crime patterns more dynamic. Different crime types such as robbery, burglary or motor vehicle theft have their own unique seasonal trends and spatial patterns. Even traffic crashes might begin to cluster in locations that differ from the hot spots experienced earlier this year.
The National Insurance Crime Bureau (NICB) warned of an increased risk of crime across the United States this holiday season which is likely to strain already-stretched police resources. Police in California created a retail crime task force, and other jurisdictions are responding similarly. Data analysis can help guide these strategies to keep people and property safe.
Analyzing your data with Risk Terrain Modeling (RTM) helps prioritize where to go and what to focus on when you get there. Identify environmental conditions that connect with crime incidents before they cluster or become persistent hot spots.
Since 2009, RTM has been helping police and other city officials keep a careful eye on spatial patterns and crime trends in the here-and-now. See how new crime incidents relate to the built environment. Expose the situational contexts for crime.
Interactions of people at particular places create unique opportunities for crime. RTM lets you use current data to understand current patterns, and stay ahead of crime risks before they become crime problems.
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