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Computational comparison of five maximal covering models for locating ambulances

Erkut, Erhan, Ingolfsson, Armann, Sim, Thaddeus and Erdogan, Gunes (2009) Computational comparison of five maximal covering models for locating ambulances [in special issue: In Honor of and in Memory of Charles S. ReVelle edited by Mark S. Daskin, John R. Current, and Richard L. Church] Geographical Analysis, 41, (1), pp. 43-65. (doi:10.1111/j.1538-4632.2009.00747.x).

Record type: Article


This article categorizes existing maximum coverage optimization models for locating ambulances based on whether the models incorporate uncertainty about (1) ambulance availability and (2) response times. Data from Edmonton, Alberta, Canada are used to test five different models, using the approximate hypercube model to compare solution quality between models. The basic maximum covering model, which ignores these two sources of uncertainty, generates solutions that perform far worse than those generated by more sophisticated models. For a specified number of ambulances, a model that incorporates both sources of uncertainty generates a configuration that covers up to 26% more of the demand than the configuration produced by the basic model

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e-pub ahead of print date: 4 January 2009
Organisations: Centre of Excellence for International Banking, Finance & Accounting


Local EPrints ID: 204813
ISSN: 0016-7363
PURE UUID: 7e0a25c6-39b4-4965-8e85-363c20ec38ea

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Date deposited: 02 Dec 2011 09:04
Last modified: 18 Jul 2017 11:05

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Author: Erhan Erkut
Author: Armann Ingolfsson
Author: Thaddeus Sim
Author: Gunes Erdogan

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