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Evaluation of Hurricane Evacuation Order Plans

Hurricane Florence Case Study

Bibliographic Data

ID21738357
AuthorsKun Yang (0000-0001-5064-1488, Verisk Analytics (United States)), Rachel A Davidson (0000-0002-6061-5985, University of Delaware), Brian Blanton (0000-0002-3162-2799, Renaissance Computing Institute), Brian Colle (0000-0002-4546-5472, Stony Brook University), Randall Kolar (Director and David Ross Boyd Professor, School of Civil Engineering and Environmental Science, Univ. of Oklahoma, Norman, OK 73019), Randall L Kolar (University of Oklahoma), Linda K Nozick (0000-0002-5629-3733, Cornell University), Tricia Wachtendorf (0000-0002-7771-5069, University of Delaware), Nicholas Leonardo (Stony Brook University), Humberto Vergara (0000-0003-0572-4545, Cooperative Institute for Mesoscale Meteorological Studies), Kendra Dresback (Research Assistant Professor, School of Civil Engineering and Environmental Science, Univ. of Oklahoma, Norman, OK 73019), Kendra M Dresback (University of Oklahoma)
Year2022
Volume23
Issue4
Publication date2022-11-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueNatural Hazards Review (JOURNAL)
Journal identifiersISSN: 1527-6988 • E-ISSN: 1527-6996
PublisherAmerican Society of Civil Engineers (ASCE) (PUBLISHER • US)
DOI10.1061/(asce)nh.1527-6996.0000589
OpenAlexW4293157861
LanguageEN
Citations received2
References cited17

This paper introduces an approach to evaluate the performance of a previously implemented or proposed hurricane evacuation plan that describes where and when official evacuation orders are issued. The approach involves use of the new integrated scenario-based evacuation (ISE) decision support tool to define a best track evacuation plan as a reference point and measure the performance of other plans in relation to that according to their ability to meet multiple stated objectives: minimizing risk to the population, travel time, and time people are away from their homes. Using North Carolina in Hurricane Florence (2018) as a case study, we demonstrate the process by evaluating performance of both the actual set of orders as executed and the orders that would have been recommended if the new ISE decision support tool had been used during the event. All three plans were evaluated for two cases—assuming the hurricane unfolds as it actually did, and if the hurricane had instead evolved like one of 21 other realistic scenarios. Results suggest the actual evacuation was quite good, and the ISE tool could have resulted in improved evacuation performance

Business · Data mining · Decision support system · Geography · Operations research · Population · Transport engineering · Computer Science · Engineering · Evacuation and Crowd Dynamics · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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