Risk-Based Policing (RBP) uses Risk Terrain Modeling (RTM) to deploy resources at priority places with detailed information about what to focus on when they get there. It diagnoses crime hot spots and fixes them. And, it prevents crime by focusing
Risk narratives convey the contexts and opportunities for crime at particular places and times. A risk narrative is like a story about how crime incidents connect to places. It accounts for how people interact at and around particular places to
Prioritize and solve crime problems with guidance from community partners, just like the nationally-recognized Newark Public Safety Collaborative (NPSC) does in Newark, NJ. They use Simsi’s RTMDx™ software to diagnose crime patterns and connect geographic features with crime events. Then
The growing use of ‘big data’ and analytics by police departments is often equated with over-policing or increased law enforcement at crime hot spots. In contrast, problem-solving with risk terrain modeling (RTM) can be data-informed, transparent and civilly just. RTM
Risk terrain modeling (RTM) is a diagnostic tool for crime prevention, it’s not a predictive algorithm. The only true measure of successful predictions is for crimes to occur where predicted, which is not in the public’s best interest. Predictive policing
Risk terrain modeling (RTM) is risk assessment for places. It’s a data analysis technique. And, it’s a diagnostic tool. When used for crime analysis, RTM identifies environmental conditions that contribute to crime problems. Different crime incident locations can have common
