Traffic Resilience Modeling and Planning of Emergency Medical Response
An efficient and timely rescue of injured people by emergency medical services (EMS) is essential to saving as many lives as possible following disasters. Disrupted traffic networks due to the failures of transportation infrastructure (e.g., bridges) following major hazards like earthquakes affect the accessibility and travel time of the disrupted transportation network during the emergency response stage. A rational prediction of the traffic network resilience performance in terms of EMS cannot only help implementing optimized post-disaster medical response plan, but also identify the most cost-effective preventive measures before the occurrence of disasters. Post-hazard EMS transportation highly depends on both medical needs of the vulnerable group and the serviceability of the disrupted traffic network.
- Record URL:
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
Colorado State University, Fort Collins
Department of Civil and Environmental Engineering
Fort Collins, CO United States 80525 North Dakota State University
Fargo, ND United States 58108Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Authors:
- Chen, Suren
- Wu, Yangyang
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; References; Tables;
- Pagination: 32p
Subject/Index Terms
- TRT Terms: Bridges; Disaster resilience; Disasters and emergency operations; Emergency medical services; Emergency response time; Traffic models
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Security and Emergencies;
Filing Info
- Accession Number: 01848893
- Record Type: Publication
- Report/Paper Numbers: MPC-22-458
- Contract Numbers: MPC-569
- Files: UTC, TRIS, ATRI, USDOT
- Created Date: Jun 21 2022 10:28AM