Hurricane evacuation decision model in a stochastic dynamic network

Ketut Gita Ayu, Pitu Mirchandani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the case of a hurricane event, uncertainties and corresponding impacts during a storm event can quickly cascade. Failure to incorporate these uncertainties can significantly affect the efficiency and effectiveness of the emergency responses. Note that, storm hazards, such as strong winds, torrential rain, and storm surges, can inflict significant damage on the road network, affect population’s ability to move during the storm event. A methodology is proposed to generate a sequence of actions that simultaneously solve the evacuation flow scheduling and suggested routes which minimize the total flow time, or the makespan, for the evacuation process from origins to destinations in the resulting stochastic time-dependent network. The methodology is implemented for the 2017 Hurricane Irma case study to recommend an evacuation policy for Manatee county, FL. The results are compared with evacuation plans for assumed scenarios and suggest that evacuation recommendations based on single scenario reduces the effectiveness of the evacuation procedure. Overall contribution of the research presented here is the new methodology to determine the quickest evacuation schedule and routes under the uncertainties within the resulting stochastic transportation networks.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
PublisherIEOM Society
Pages3940-3952
Number of pages13
ISBN (Print)9781792361241
StatePublished - 2021
Externally publishedYes
Event11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021 - Virtual, Online
Duration: Mar 7 2021Mar 11 2021

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021
CityVirtual, Online
Period3/7/213/11/21

Keywords

  • Hurricane Evacuation
  • Network Flow
  • Stochastic Dynamic Networks
  • Uncertainty

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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