Evacuation planning for persons with mobility needs: A combined optimization and traffic microsimulation modelling approach
This study presents a framework of optimization and traffic microsimulation modelling that account for a mass evacuation of persons mobility needs. The study optimizes emergency vehicle and destination allocation and implements an emergency evacuation route within the traffic microsimulation model. The emergency vehicle and destination allocation follow an integer programming optimization approach within a mathematical programming language modelling system platform. This study tests two evacuation scenarios that consider emergency vehicle operations with and without a designated route for the evacuation of five hundred and twelve persons, requiring mobility assistance from six hospitals and nursing homes. Additionally, the evacuation modelling framework considers collision risks in assessing evacuation process, particularly, how it affects evacuation of this group of vulnerable population. Optimization results indicate that this group can be evacuated by ninety emergency vehicles, and it takes 19.5 h for an optimal allocation of emergency vehicles. Traffic simulation results suggest that it takes 21 h to evacuate all persons with mobility needs using ninety emergency vehicles. On the other hand, 68% of emergency vehicles make 0.5–3.5 fewer tour to a case without the collision, leading to an incomplete evacuation (72.2%). The study found that implementing a designated evacuation route yields a reduction of 6 min and 25.2 min in average and the maximum trip time for emergency vehicles, respectively. This research will provide emergency professionals with insights into the challenges associated with the evacuation of persons with mobility needs and help develop proactive evacuation plans to accommodate the special requirements of vulnerable population.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22124209
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Supplemental Notes:
- © 2022 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Alam, M D Jahedul
- Habib, Muhammad Ahsanul
- Husk, Devin
- Publication Date: 2022-10-1
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 103164
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Serial:
- International Journal of Disaster Risk Reduction
- Volume: 80
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2212-4209
- Serial URL: http://www.sciencedirect.com/science/journal/22124209
Subject/Index Terms
- TRT Terms: Emergency management; Emergency vehicles; Evacuation; Microsimulation; Optimization; Persons with disabilities
- Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01858783
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 26 2022 9:10AM