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Title: A Large-Scale Patient Evacuation Modeling Framework using Scenario Generation and Stochastic Optimization
This paper proposes a two-stage stochastic mixed integer programming framework for patient evacuation. While minimizing the expected total cost of patient evacuation operations, the model determines the location of staging areas and the number of emergency medical service (EMS) vehicles to mobilize in the first stage, and the EMS vehicle routing assignments in the second stage. A real-world data from Southeast Texas region is used to demonstrate our modeling approach. To provide a more pragmatic solution to the patient evacuation problem, we attempt to create comprehensive hurricane instances by integrating the publicly available state-of-art hydrology models for surge, Sea, Lake Ocean and Overland Surge for Hurricanes (SLOSH), and for streamflow, National Water Model (NWM), prediction. The surge product captures potential flooding in coastal region while the streamflow product predicts inland flooding. The results exhibit the importance of the integrated approach in patient evacuation planning, provide guidance on flood mapping and prove the potential benefit of comprehensive approach in scenario generation.  more » « less
Award ID(s):
1940308
PAR ID:
10291202
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
IISE Annual Conference
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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