Community Response to Hurricane Threat: Estimates of Warning Issuance Time Distributions

Abstract

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 01, 2020
Source ID
10.1175/wcas-d-20-0031.1

Entities

People

  • Earl J. Baker
  • John H. Sorensen
  • Michael K. Lindell
  • William P. Lehman

Organizations

  • National Science Foundation
  • Oak Ridge National Laboratory
  • United States Army Corps of Engineers
  • University of Washington

Tags

Fields of Study

  • Environmental science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Aviation Safety and Air Traffic Management
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience