Does Euclidean distance work well when the p-median model is applied in rural areas?

Kenneth Carling, Mengjie Han and Johan Håkansson ()

Annals of Operations Research, 2012, vol. 201, issue 1, 83-97

Abstract: The p-median model is used to locate P centers to serve a geographically distributed population. A cornerstone of such a model is the measure of distance between a service center and demand points, i.e. the location of the population (customers, pupils, patients, and so on). Evidence supports the current practice of using Euclidean distance. However, we find that the location of multiple hospitals in a rural region of Sweden with a non-symmetrically distributed population is quite sensitive to distance measure, and somewhat sensitive to spatial aggregation of demand points. Copyright Springer Science+Business Media, LLC 2012

Keywords: Optimal location; Euclidean distance; Network distance; Travel time; Spatial aggregation; Location model (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (16)

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DOI: 10.1007/s10479-012-1214-2

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