Analysis of Ambulance Location Models Using Discrete Event Simulation

Pascal Lutter (), Dirk Degel, Lara Wiesche and Brigitte Werners
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Pascal Lutter: Ruhr University Bochum
Dirk Degel: Ruhr University Bochum
Lara Wiesche: Ruhr University Bochum
Brigitte Werners: Ruhr University Bochum

A chapter in Operations Research Proceedings 2014, 2016, pp 377-383 from Springer

Abstract: Abstract The quality of a rescue service system is typically evaluated ex post by the proportion of emergencies reached within a predefined response time threshold. Optimization models in literature consider different variants of demand area coverage or busy fractions and reliability levels as a proxy for Emergency Medical Service quality. But no comparisons of the mentioned models with respect to their real-world performance are found in literature. In this paper, the influence of these different model formulations on real-world outcome measures is analyzed by means of a detailed discrete event simulation study.

Keywords: Emergency Medical Service; Discrete Event Simulation; Demand Node; Emergency Medical Service System; Real World Case Study (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-28697-6_53

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DOI: 10.1007/978-3-319-28697-6_53

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