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), 43-65. (doi:10.1111/j.1538-4632.2009.00747.x).


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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

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/j.1538-4632.2009.00747.x
ISSNs: 0016-7363 (print)
1538-4632 (electronic)
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Divisions : Faculty of Business and Law > Southampton Business School > Centre of Excellence for International Banking, Finance & Accounting
ePrint ID: 204813
Accepted Date and Publication Date:
4 January 2009Made publicly available
Date Deposited: 02 Dec 2011 09:04
Last Modified: 31 Mar 2016 13:47

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