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Simulation-Based Location Optimization of Ambulance Stations

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Book cover Operations Research Proceedings 2018

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

For the location analysis of ambulance stations, we outline a static and a dynamic method using isochrones and discrete event simulation. Both techniques base on a realistic driving time estimation for ambulances on a detailed road network. We used these analyses for a real world study in Southwest Germany.

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Notes

  1. 1.

    We used the rlm-function provided by R (http://stat.ethz.ch/R-manual/R-devel/library/MASS/html/rlm.html).

  2. 2.

    https://www.openstreetmap.de/.

References

  1. Aboueljinane, L., Sahin, E., Jemai, Z.: A review on simulation models applied to emergency medical service operations. Comput. Ind. Eng. 66(4), 734–750 (2013). https://doi.org/10.1016/j.cie.2013.09.017

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  2. Lutter, P., Degel, D., Wiesche, L., Werners, B.: Analysis of Ambulance Location Models Using Discrete Event Simulation. Operations Research Proceedings 2014, pp. 377–383. Springer International Publishing (2016). https://doi.org/10.1007/978-3-319-28697-6_53

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  3. Aboueljinane, L., Jemai, Z., Sahin, E.: Reducing ambulance response time using simulation: the case of Val-de-Marne department Emergency Medical service. Proceedings - Winter Simulation Conference (2012). https://doi.org/10.1109/WSC.2012.6465018

  4. Stämpfli, A., Strauss, C.: sim911 - Ein Simulator für das Rettungswesen https://www.fhsg.ch/fhs.nsf/files/IMS_Rettungswesen_sim911Bericht/$FILE/1-sim911-EinSimulatorfu

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Correspondence to Johanna Schneider .

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Schneider, J., Schröder, M. (2019). Simulation-Based Location Optimization of Ambulance Stations. In: Fortz, B., Labbé, M. (eds) Operations Research Proceedings 2018. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-18500-8_19

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