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A dynamic ambulance routing model with multiple response

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  • Yoon, Soovin
  • Albert, Laura A.

Abstract

Emergency medical services systems equipped with both advanced and basic emergency vehicles often dispatch both types of vehicles to one call, which is called multiple response. Multiple response allows for faster response times at the potential cost of making more vehicles unavailable for service. To evaluate the value of multiple response, we formulate a Markov decision process model that dynamically determines which type of vehicle(s) to dispatch based. We show that the optimal policies are class separable. Numerical experiments demonstrate that multiple response can significantly improve system performance when patients health needs are uncertain.

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  • Yoon, Soovin & Albert, Laura A., 2020. "A dynamic ambulance routing model with multiple response," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:transe:v:133:y:2020:i:c:s1366554519300754
    DOI: 10.1016/j.tre.2019.11.001
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    Cited by:

    1. Asadi, Amin & Nurre Pinkley, Sarah, 2021. "A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
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    3. Soovin Yoon & Laura A. Albert & Veronica M. White, 2021. "A Stochastic Programming Approach for Locating and Dispatching Two Types of Ambulances," Transportation Science, INFORMS, vol. 55(2), pages 275-296, March.
    4. Fang Zong & Meng Zeng & Yang Cao & Yixuan Liu, 2021. "Local Dynamic Path Planning for an Ambulance Based on Driving Risk and Attraction Field," Sustainability, MDPI, vol. 13(6), pages 1-13, March.

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