Emergency medical response in mass casualty incidents considering the traffic congestions in proximity on-site and hospital delays
The response efficiency of Emergency Medical Service (EMS) is related to the survival rate of patients in Mass Casualty Incidents (MCIs). This study aims to reduce delays caused by congestions in the transportation network and also that in hospitals. A patient transportation and assignment model is proposed considering routing of ambulances and operational conditions of hospitals for an efficient MCI response. The proposed model is composed of a Cell Transmission Model (CTM) and a nonlinear treatment impedance function. A Lagrangian heuristic is utilized to expedite model solution by decomposing the problem into two relatively tractable sub-problems: one linear and the other nonlinear. The linear sub-problem is solved by the simplex algorithm, and is related to ambulance routing, while the nonlinear sub-problem is solved by a gradient projection algorithm for the optimization of patients’ hospital assignment. A case study and several benchmark networks were tested, and the proposed methodology outperformed a typical Lagrangian Relaxation approach. This work has the potential to enable a more efficient patient assignment in MCIs.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Chou, Chang-Chi
- Chiang, Wen-Chu
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0000-0001-8620-7982
- Chen, Albert Y
- Publication Date: 2022-2
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 102591
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 158
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Ambulances; Casualties; Disasters and emergency operations; Emergency medical services; Routing
- Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01837922
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 28 2022 9:53AM