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dc.contributor.authorMichael K. Lindell
dc.contributor.authorJohn H. Sorensen
dc.contributor.authorEarl J. Baker
dc.contributor.authorWilliam P. Lehman
dc.date.accessioned2022-01-31T23:40:50Z
dc.date.available2022-01-31T23:40:50Z
dc.date.issued5/1/2021
dc.identifier.other%28ASCE%29NH.1527-6996.0000456.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270161
dc.description.abstractThe data on warning diffusion rates over time are generally sparse and are extremely limited for hurricanes. This is a potential problem for transportation analysts who are trying to compute evacuation time estimates for coastal jurisdictions. The available data indicate that 20%–50% of the households in areas at risk continually monitor local news media as soon as a hurricane is within 72 h of possible landfall in their area. Moreover, this percentage rises to 60%–80% within 64 h of landfall and over 90% within 48 h of landfall. The data from hurricane studies are consistent with data from another slow-onset hazard (the arrival of the Indian Ocean tsunami in Mauritius) and a somewhat less severe hazard (the Boston water contamination incident). There appears to be no data on warning diffusion in hurricanes with late intensification or late-changing tracks. However, the available data on warning sources in these types of hurricanes suggest that the rates of diffusion of local evacuation warnings would be comparable to those in other rapid-onset events.
dc.publisherASCE
dc.titleCommunity Response to Hurricane Threat: Estimates of Warning Diffusion Time Distributions
dc.typeJournal Paper
dc.journal.volume22
dc.journal.issue2
dc.journal.titleNatural Hazards Review
dc.identifier.doi10.1061/(ASCE)NH.1527-6996.0000456
dc.journal.fristpage04021007-1
dc.journal.lastpage04021007-8
dc.page8
dc.treeNatural Hazards Review:;2021:;Volume ( 022 ):;issue: 002
dc.contenttypeFulltext


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