Research Article
Multi-Capacities Ambulance Location Model
@INPROCEEDINGS{10.1109/TRIDENTCOM.2009.4976246, author={Dah-Ming Shiah and Chin-Tun Hung and Shu-Wen Chen}, title={Multi-Capacities Ambulance Location Model}, proceedings={The First International ICST Workshop on Pervasive Computing Systems and Infrastructures}, publisher={IEEE}, proceedings_a={PCSI}, year={2009}, month={5}, keywords={GIS ambulance location/relocation model capacitated facilities placing algotithm set covering}, doi={10.1109/TRIDENTCOM.2009.4976246} }- Dah-Ming Shiah
Chin-Tun Hung
Shu-Wen Chen
Year: 2009
Multi-Capacities Ambulance Location Model
PCSI
IEEE
DOI: 10.1109/TRIDENTCOM.2009.4976246
Abstract
Multi-capacities ambulance location model (MCAL) is a different type of capacitated location model compared with ambulance location/relocation model existed. It considers three different types of capacities: traveling distance, address point (population) and EMS incident locations, into one model to solve the set covering of ambulance service area location problem. MCAL is not only a deterministic model but also a probabilistic model by the definition of Brotcorne [1], since we include both types of dataset as the capacity constraints. MCAL modified the procedures from the predecessor AACM Shiah [2, 3] so that the covering procedures can be simpler, more flexible and more efficient. The results of these procedures show that it can work on irregular surface shape or fragments of sets so as to makes it more adaptable to real world.
