| Popis: |
Hot spot policing is a form of targeted police patrol deployment for decreasing crime. For hot spot policing to be effective, it requires analysis of crime data to identify the specific locations where crime is concentrated and create suitable patrol routes. The creation of hot spot policing patrol routes is a manual task that police officers perform, requiring skills and knowledge about hot spot policing and crime pattern analysis. This can limit the use of hot spot policing where these skills and knowledge are not available, and where they are available, the creation of patrol routes can be a time-consuming task. In this paper, we introduce two computational route generation heuristics that automate creating hot spot policing patrol routes. Both approaches identify the specific locations where crime concentrates and then use different methods to create the patrol routes. We compare the performance of each approach using metrics associated with effective patrol route creation and through visual inspection. We conclude that the heuristics we introduce provide an accurate means for creating hot spot policing patrol routes, which can support greater and improved use of hot spot policing as an effective type of intervention for decreasing crime. |
