Developing a Macroscopic Decision Making Tool for Emergency Evacuation Planning
Man-made or natural disasters, either noticed or un-noticed, could result in severe life losses and property damages. Hurricane Sandy, for example, made landfall in a heavily populated urban area (New Jersey and New York City) in late 2012, causing 117 deaths in the US and 69 more in Canada and the Caribbean, and leaving millions of people homeless and billions of dollars of damages. Emergency evacuation, a mass movement of people and their properties from disaster-impacted areas to safer ones, has been studied and practiced for decades as one means of countermeasures to mitigate these calamitous consequences. Numerous evacuation planning models have been developed in the past. Many of them are either too time consuming and hard to calibrate (e.g., for micro- or mesoscopic models) or too simple in terms of traffic flow dynamics (e.g., for macroscopic models) to produce accurate results.
Language
- English
Project
- Status: Completed
- Funding: $167796.00
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Contract Numbers:
49198-26-27
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Sponsor Organizations:
Research and Innovative Technology Administration
University Transportation Centers Program
1200 New Jersey Avenue, SE
Washington, DC United States 20590University Transportation Research Center
City College of New York
Marshak Hall, Suite 910, 160 Convent Avenue
New York, NY United States 10031 -
Project Managers:
Thorson, Ellen
Eickemeyer, Penny
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Performing Organizations:
Rensselaer Polytechnic Institute
Department of Civil Engineering
Troy, NY United States 12180-3590 -
Principal Investigators:
Mitchell, John
Ban, Xuegang
- Start Date: 20150601
- Expected Completion Date: 0
- Actual Completion Date: 20170731
- Source Data: RiP Project 39632
Subject/Index Terms
- TRT Terms: Countermeasures; Decision making; Disaster preparedness; Disasters; Evacuation; Planning; Traffic flow
- Identifier Terms: Hurricane Sandy, 2012
- Geographic Terms: New Jersey; New York (New York)
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01562705
- Record Type: Research project
- Source Agency: University Transportation Research Center
- Contract Numbers: 49198-26-27
- Files: UTC, RIP
- Created Date: May 5 2015 1:00AM