Predictive Firefighting is explained with a case study by employing freely available data from the Seattle Fire Department. A risk model for demand planing is shown.

The City of Seattle / USA publishes a great amount of data regarding public services as their contribution to OpenData USA. Among other sources, Seattle also publishes past years of data from 911 emergency service dispatch. Taking those data and analyzing them with our Premergency solution for Predictive Firefighting is the base of the current article. The results show how to derive future emergencies in fire services with past data. A distinction and prognosis for types of emergencies and temporal frequency is possible. Read more