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Coordinating the Emergency Response of Ambulances to Multiple Mass Casualty Incidents using an Optimization-based Approach

Lookup NU author(s): Haya Aldossary, Professor Graham Coates

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Abstract

© 2019, Springer Nature Switzerland AG.During the emergency response to multiple mass casualty incidents (MCIs), a number of coordination (allocation) decisions need to be made in a timely manner. This paper reports on an optimization-based approach that has been developed to solve the ambulance-to-casualty and casualty-to-hospital allocation problems. A number of constraints are taken into consideration such as the number of ambulances and hospitals, along with the capacity of hospitals. Within the approach, the road network of the geographical area under consideration is modelled realistically. Further, the day of the week and the time of day at which multiple MCIs occur are considered as factors influencing the speed of the ambulances. The approach includes a Neighborhood Search Algorithm that has been developed and used to obtain solutions to a multiple MCI case study involving a number of scenarios.


Publication metadata

Author(s): Aldossary H, Coates G

Editor(s): Paolucci M; Sciomachen A; Uberti P

Publication type: Book Chapter

Publication status: Published

Book Title: Advances in Optimization and Decision Science for Society, Services and Enterprises

Year: 2019

Volume: 3

Pages: 161-172

Print publication date: 26/01/2020

Online publication date: 26/01/2020

Acceptance date: 02/04/2018

Series Title: AIRO Springer Series

Publisher: Springer Nature

Place Published: Berlin

URL: https://doi.org/10.1007/978-3-030-34960-8_15

DOI: 10.1007/978-3-030-34960-8_15

Notes: ODS, Genoa, Italy, September 4-7, 2019

Library holdings: Search Newcastle University Library for this item

ISBN: 9783030349592


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