Ambulance allocation capacity model

Taichung city has established sufficient ambulance services regulated by law. However, service is unable to provide equity to all residences due to location problems. This study tries to rectify it by introducing the ambulance allocation capacity model (AACM) which incorporates both deterministic (LSCM) and probability measure (capacity) in one model assuming that the requirements for setting a new ambulance stopping site are less hinged. Further, in this research we introduce the uses of address point data to measure the demand capacity and the combination of shortest path along with convex hull algorithm to help identify service boundary of each ambulance site using single line road map, which is unseen in ambulance location related researches. The result shows an increase from 49.3% to 90.8% in coverage rate and a decrease from 47.8% to 17.5a% in overlapped rate within study area using almost the same amount of ambulance, which is a considerable improvement.