Optimize the Planning of Ambulance Standby Points by Using Getis-Ord Gi* Based on Historical Emergency Data

In this paper, we first find the hot spots of emergency call events from a large number of historical pre-hospital medical data, and then plan ambulance standby points to shorten the time to the emergency scenes. The Getis-Ord Gi* method for calculating the local spatial autocorrelation index is introduced as a screening tool for ambulance standby locations. First aid call data are selected according to different time granularities, and the results of ambulance standby point planning with annual cycle are obtained by analyzing hot call areas extracted under different time granularities. By adjusting the significance level of hot call areas extracted, different numbers of ambulance standby points and their importance can be obtained. In the case study, we figured out 6 standby points with a significance level of 95%, for 12 ambulances. This method has been applied in the medical emergency service in Minhang District, Shanghai.