“Where should I locate Ambulance stations for intervention as soon as possible when there is an emergency?
1. Manisa was determined as the sample province in this study covering Turkey.
2. Within the scope of the sample project, 115,000 case positions related to the past years were examined. A machine learning-based model was created that learns the relationship between the case type and location and the demographic and spatial information around it.
3. With the model, the probability of a case on a micro basis within the scope of Manisa province was calculated.
4. The locations where emergency stations will be located were prioritized according to the probability of an incident.
Thanks to this study, the site selection model, which is not only access-oriented, but also based on case estimation, was tested in the province of Manisa. In Manisa, 10% more success was achieved in ambulance access times from stations to incident points.