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An optimization and simulation approach to emergency stations relocation

Author

Listed:
  • Ľudmila Jánošíková

    (University of Žilina)

  • Marek Kvet

    (University of Žilina)

  • Peter Jankovič

    (University of Žilina)

  • Lýdia Gábrišová

    (University of Žilina)

Abstract

This paper suggests and compares three median-type location models to determine how to optimally relocate existing emergency medical stations. It also describes a detailed computer simulation model used to evaluate the locations proposed by each model in terms of several indicators of system performance. The simulation model was calibrated using real data from a health care provider in the Slovak Republic. The results of the computer simulation experiments suggest that the simple p-median model can significantly improve the accessibility of urgent health care to patients.

Suggested Citation

  • Ľudmila Jánošíková & Marek Kvet & Peter Jankovič & Lýdia Gábrišová, 2019. "An optimization and simulation approach to emergency stations relocation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 737-758, September.
    • Handle: RePEc:spr:cejnor:v:27:y:2019:i:3:d:10.1007_s10100-019-00612-5
    DOI: 10.1007/s10100-019-00612-5
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    References listed on IDEAS

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    1. Karl Schneeberger & Karl Doerner & Andrea Kurz & Michael Schilde, 2016. "Ambulance location and relocation models in a crisis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 1-27, March.
    2. Sorensen, Paul & Church, Richard, 2010. "Integrating expected coverage and local reliability for emergency medical services location problems," Socio-Economic Planning Sciences, Elsevier, vol. 44(1), pages 8-18, March.
    3. Armann Ingolfsson & Susan Budge & Erhan Erkut, 2008. "Optimal ambulance location with random delays and travel times," Health Care Management Science, Springer, vol. 11(3), pages 262-274, September.
    4. Zied Jemai & L. Aboueljinane & E. Sahin, 2013. "A review on simulation models applied to emergency medical service operations," Post-Print hal-01672393, HAL.
    5. Erhan Erkut & Armann Ingolfsson & Güneş Erdoğan, 2008. "Ambulance location for maximum survival," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(1), pages 42-58, February.
    6. Felder, Stefan & Brinkmann, Henrik, 2002. "Spatial allocation of emergency medical services: minimising the death rate or providing equal access?," Regional Science and Urban Economics, Elsevier, vol. 32(1), pages 27-45, January.
    7. Schmid, Verena & Doerner, Karl F., 2010. "Ambulance location and relocation problems with time-dependent travel times," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1293-1303, December.
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    Cited by:

    1. Jian Wang & Yin Wang & Mingzhu Yu, 2022. "A multi-period ambulance location and allocation problem in the disaster," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 909-932, July.
    2. Diehlmann, Florian & Hiemsch, Patrick S. & Wiens, Marcus & Lüttenberg, Markus & Schultmann, Frank, 2020. "A novel approach to include social costs in humanitarian objective functions," Working Paper Series in Production and Energy 52, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    3. Andrej Kastrin & Janez Povh & Lidija Zadnik Stirn & Janez Žerovnik, 2021. "Methodologies and applications for resilient global development from the aspect of SDI-SOR special issues of CJOR," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 773-790, September.
    4. Janez Povh & Lidija Zadnik Stirn & Janez Žerovnik, 2019. "Editorial," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 597-599, September.
    5. Ľuboš Buzna & Peter Czimmermann, 2021. "On the Modelling of Emergency Ambulance Trips: The Case of the Žilina Region in Slovakia," Mathematics, MDPI, vol. 9(17), pages 1-30, September.
    6. Jian Wang & Yin Wang & Mingzhu Yu, 0. "A multi-period ambulance location and allocation problem in the disaster," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-24.
    7. Lee, Chien-Chiang & Hussain, Jafar, 2023. "Energy sustainability under the COVID-19 outbreak: Electricity break-off policy to minimize electricity market crises," Energy Economics, Elsevier, vol. 125(C).

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