niologic imported 10 years of existing operation data from operation lists and operation control computers (iSE Cobra™), which was then cleaned up (duplicates, plausibility checks, manual research for incorrect entries). Subsequently, locations were geocoded and transferred into a grid of 500m edge length using a geographic information system (GIS). The resulting grids were assigned to various hazard categories according to recommendations made by the state of North Rhine-Westphalia (Cat. I to IV for ABC, TH and fire hazards) with the support of the full-time fire station’s officers. These assessments have also been incorporated into the geo information system.
Using the algorithms from premergency premergency, an interactive hazard matrix and a risk model for the expected operation probability during the year were created from the obtained data.
At the same time, travel time isochrones were generated. Real driving tests executed by the fire brigade served as data basis. A linear optimization was applied to find an optimal speed for each road type. From the probability values for each grid a location optimization for the number and position of the necessary sites for voluntary and full-time fire and rescue stations could be obtained by numerical optimization. At the same time, a legal analysis of the maximum permitted driving speeds had to be carried out using the speed models.
The editorial compilation of the results was carried out together with the fire brigade.