GIS-based RAG-coded search priority scenarios for predictive maps to prevent future serial serious crimes: The case study of the Florence Monster

GIS-based RAG-coded search priority scenarios for predictive maps to prevent future serial serious crimes: The case study of the Florence Monster

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In the present research, the GIS (Geographical Information System)-based RAG (Red-Amber-Green) color-coded search priority system was applied to the case study of the serial murders of the monster of Florence occurred between 1968 and 1985 in the Florence province (northern Italy).Through a predictive search priority scenario, the RAG maps were aimed to identify the 2010 chevy malibu exhaust manifold possible areas where the monster could have hypothetically continued to hit if still alive.The identified Red-code area allowed to obtain a very useful result, reducing to the 21% the extension of the site where the serial killer had to continue to hit.

In predictive terms, this method, if applied at that epoch, could have helped law enforcements and the judicial authority to strongly reduce the areas to monitor for toyota benify arresting the responsible of these tremendous murderers.