Work

Comparison of Emergency Medical Services Delivery Performance using Maximal Covering Location and Gradual Cover Location Problems

Year: 2017

Type: article

Abstract: Ambulance location is one of the critical factors that determine the efficiency of emergency medical services delivery. Maximal Covering Location Problem is one of the widely used ambulance location models. However, its coverage function is considered unrealistic because of its ability to abruptly change from fully covered to uncovered. On the contrary, Gradual Cover Location Problem coverage is considered more realistic compared to Maximal Cover Location Problem because the coverage decreases over distance. This paper examines the delivery of Emergency Medical Services under the models of Maximal Covering Location Problem and Gradual Cover Location Problem. The results show that the latter model is superior, especially when the Maximal Covering Location Problem has been deemed fully covered.

Source: International Journal of Electrical and Computer Engineering (IJECE)

DOI: 10.11591/ijece.v7i5.pp2791-2797

Authors: Mohd Hafiz Azizan, Ting Loong Go, W.A. Lutfi W.M. Hatta, Cheng Siong Lim, Soo Siang Teoh

Institutions: University of Technology Malaysia, Universiti Sains Malaysia

Language: English

Topic: Facility Location and Emergency Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

Funder: Universiti Teknologi Malaysia

Awards: G1001717021, G3093199191, G5413117287, G8700759374