Linear formulation for the Maximum Expected Coverage Location Model with fractional coverage

P.L. van den Berg, G.J. Kommer, B. Zuzáková

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)

Abstract

Since ambulance providers are responsible for life-saving medical care at the scene in emergency situations and since response times are important in these situations, it is crucial that ambulances are located in such a way that good coverage is provided throughout the region. Most models that are developed to determine good base locations assume strict 0-1 coverage given a fixed base location and demand point. However, multiple applications require fractional coverage. Examples include stochastic, instead of fixed, response times and survival probabilities. Straightforward adaption of the well-studied MEXCLP to allow for coverage probabilities results in a non-linear formulation in integer variables, limiting the size of instances that can be solved by the model. In this paper, we present a linear integer programming formulation for the problem. We show that the computation time of the linear formulation is significantly shorter than that for the non-linear formulation. As a consequence, we are able to solve larger instances. Finally, we will apply the model, in the setting of stochastic response times, to the region of Amsterdam, the Netherlands.

Original languageEnglish
Pages (from-to)33-41
Number of pages9
JournalOperations Research for Health Care
Volume8
DOIs
Publication statusPublished - 2016

Keywords

  • Ambulance base locations
  • Integer linear programming models
  • Location analysis

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