Multi-Capacities Ambulance Location Model

Dah-Ming Shiah; Chin-Tun Hung; Shu-Wen Chen

The First International ICST Workshop on Pervasive Computing Systems and Infrastructures

Research Article

Multi-Capacities Ambulance Location Model

Cite: BibTeX Plain Text

@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

Dah-Ming Shiah¹, Chin-Tun Hung², Shu-Wen Chen³^,*

1: Graduate School of Architecture and Urban Design Chaoyang University of Technology Taichung County, Taiwan
2: Department of Healthcare Administration Central Taiwan University of Sciences and Technology Taichung City, Taiwan
3: Department of Nursing Central Taiwan University of Sciences and Technology Taichung City, Taiwan

*Contact email: swchen@ctust.edu.tw

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.

Keywords: GIS ambulance location/relocation model capacitated facilities placing algotithm set covering

Published: 2009-05-26
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/TRIDENTCOM.2009.4976246