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Ambulance location and relocation models in a crisis

Author

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  • Karl Schneeberger
  • Karl Doerner
  • Andrea Kurz
  • Michael Schilde

Abstract

This article deals with the relocation of ambulance vehicles from their origin location (i.e., position before a crisis occurs) to a crisis area and to undercovered areas (i.e., no ambulance vehicle is available for a potential emergency in a given region). Support for a crisis area can lead to insufficient coverage of other emergency patients in other regions, so decision makers need assistance with useful relocation information, including the relocation of vehicles to the crisis area and to undercovered areas. As optimization criteria, this study considers two objectives: undercoverage (i.e., unsupported demand) and the total time needed to get to the crisis area with all vehicles. A proposed model aims to minimize the time required for the vehicle relocation process and avoid relocation mistakes (e.g., sending a vehicle to support the crisis area when it would be better to leave it at its current location). Devising the relocation plan consists of three phases. First, a location model allocates all available vehicles to potential vehicle locations (positioning vehicles before the crisis occurs). Second, the same location model allocates the remaining vehicles in the case of a crisis (all vehicles not needed to manage the crisis). Third, the relocation model (phase three) moves vehicles from their position before the crisis occurs (phase one) to their position during the crisis (phase two). Copyright Springer-Verlag Berlin Heidelberg 2016

Suggested Citation

  • 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.
  • Handle: RePEc:spr:cejnor:v:24:y:2016:i:1:p:1-27
    DOI: 10.1007/s10100-014-0358-3
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    References listed on IDEAS

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    Cited by:

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    3. 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.
    4. 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).
    5. Marion S. Rauner & Helmut Niessner & Steen Odd & Andrew Pope & Karen Neville & Sheila O’Riordan & Lisa Sasse & Kristina Tomic, 2018. "An advanced decision support system for European disaster management: the feature of the skills taxonomy," 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. 26(2), pages 485-530, June.
    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. Yusuf Kuvvetli, 2023. "A goal programming model for two-stage COVID19 test sampling centers location-allocation problem," 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. 31(1), pages 1-20, March.

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