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Community Response to Hurricane Threat

Estimates of Warning Issuance Time Distributions

Dados Bibliográficos

ID22331896
AutoresJohn H Sorensen (0000-0003-3078-4064, Oak Ridge National Laboratory), Michael K Lindell (0000-0001-6972-5120, University of Washington, autor correspondente), Earl J Baker (State University System of Florida), William P Lehman (d U.S. Army Corps of Engineers Hydrologic Engineering Center, Davis, California), William Lehman (0000-0002-5816-8442, United States Army Corps of Engineers)
Ano2020
Volume12
Fascículo4
Páginas837-846
Data de publicação2020-10-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoWeather, Climate, and Society (JOURNAL)
Identificadores do periódicoISSN: 1948-8327 • E-ISSN: 1948-8335
EditoraAmerican Meteorological Society (PUBLISHER • US)
DOI10.1175/wcas-d-20-0031.1
OpenAlexW3092770376
IdiomaEN
Citações recebidas7
Referências citadas31

Hurricane evacuation warnings from local officials are one of the most significant determinants of households’ evacuation departure times. Consequently, it is important to know how long after the National Hurricane Center (NHC) issues a hurricane watch or warning that local officials wait to issue evacuation warnings. The distribution of local evacuation warning issuance delays determined from poststorm assessment data shows a wide range of warning issuance delay times over an 85-h time span, although the vast majority of times fall within a 40-h window. Nearly 30% of the jurisdictions issued evacuation warnings before an NHC hurricane warning. Only 5% delayed the decision for more than 25 h after the NHC hurricane warning. The curves for warning issuance delays, using both the NHC watch and NHC warning issuance times as reference points, are very different from the warning issuance curves observed for the rapid-onset events. The hurricane data exhibit much more of an “S shape” than the exponential shape that is seen for rapid-onset data. Instead, curves for three different types of storm tracks, defined by a perpendicular/parallel dimension and a straight/meandering dimension, follow three noticeably different logistic distributions. The data also indicate that warnings were issued significantly earlier for coastal counties than for inland counties. These results have direct practical value to analysts that are calculating evacuation time estimates for coastal jurisdictions. Moreover, they suggest directions for future research on the reasons for the timing of local officials’ hurricane evacuation decisions

Actuarial science · Business · Geography · Meteorology · Storm · Telecommunications · Warning system · Computer Science · Environmental Science · Evacuation and Crowd Dynamics · Flood Risk Assessment and Management · Mathematics · Tropical and Extratropical Cyclones Research

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Obras citantes distintas7
Citações por ano1,4
Intervalo de citações2021 - 2025 (5)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 5
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