The goal of EMS (Emergency Medical Services) is to reduce average response time in medical emergencies. In this paper, we consider a DSS (Decision Support System) for the repositioning of a mobile ambulance whenever a medical emergency arises. For a reduction of response time, available ambulances have to be positioned near locations where there is a greater probability of medical emergencies. However, anticipating emergency calls is very difficult in general. It is therefore necessary to optimally position and reposition ambulances in real time. In this paper, we propose a method of choosing a minimally prepared region we have named MEP (Minimal Expected Preparedness). This strategy will define regions based on the fire station zones as determined by the geometrical method, and predicts the number of ambulances needed for each region. To verify the efficacy of our MEP strategy, we simulated the conditions and factors by processing real data for Tokyo’s 23 wards that was collected at the FDMA (Fire and Disaster Management Agency) of Tokyo.

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