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Shih-Kai Huang

Biographic Data

ID10459774
NAMEShih-Kai Huang
GIVEN NAMESShih-Kai
FAMILY NAMEHuang
SIGNATUREHUANG S
AFFILIATIONSResearch Assistant, Hazard Reduction & Recovery Center, Texas A&M Univ., College Station, TX 77843-3137.
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2016
H-INDEX0
  • Who Leaves and Who Stays? A Review and Statistical Meta-Analysis of Hurricane Evacuation Studies

    Open Access•Shih-Kai Huang, Michael K Lindell et al.•ARTICLE•Environment and Behavior•2016

    This statistical meta-analysis (SMA) examined 38 studies involving actual responses to hurricane warnings and 11 studies involving expected responses to hypothetical hurricane scenarios conducted since 1991. The results indicate official warnings, mobile home residence, risk area residence, observations of environmental (storm conditions) and social (other people’s behavior) cues, and expectations of severe personal impacts, all have consistently…

  • Behavioral Response in the Immediate Aftermath of Shaking

    Open Access•Ihnji Jon, Michael K Lindell et al.•ARTICLE•International Journal of…•2016

    This study examines people's response actions in the first 30 min after shaking stopped following earthquakes in Christchurch and Wellington, New Zealand, and Hitachi, Japan. Data collected from 257 respondents in Christchurch, 332 respondents in Hitachi, and 204 respondents in Wellington revealed notable similarities in some response actions immediately after the shaking stopped. In all four events, people were most likely to contact family memb…

  • Household Evacuation Decision Making in Response to Hurricane Ike

    Shih‐kai Huang, Shih-Kai Huang et al.•ARTICLE•Natural Hazards Review•2012

    This study focused on household evacuation decisions and departure timing for Hurricane Ike. The data were consistent with an abbreviated form of the Protective-Action Decision Model in which female gender, official warning messages, hurricane experience, coastal location, and environmental and social cues were hypothesized to produce perceived storm characteristics, which in turn, would produce expected personal impacts. Finally, the latter, tog…

No prominent works on this page.

  • Household Evacuation Decision Making in Response to Hurricane Ike

    Shih‐kai Huang, Shih-Kai Huang et al.•ARTICLE•Natural Hazards Review•2012

    This study focused on household evacuation decisions and departure timing for Hurricane Ike. The data were consistent with an abbreviated form of the Protective-Action Decision Model in which female gender, official warning messages, hurricane experience, coastal location, and environmental and social cues were hypothesized to produce perceived storm characteristics, which in turn, would produce expected personal impacts. Finally, the latter, tog…

  • Who Leaves and Who Stays? A Review and Statistical Meta-Analysis of Hurricane Evacuation Studies

    Open Access•Shih-Kai Huang, Michael K Lindell et al.•ARTICLE•Environment and Behavior•2016

    This statistical meta-analysis (SMA) examined 38 studies involving actual responses to hurricane warnings and 11 studies involving expected responses to hypothetical hurricane scenarios conducted since 1991. The results indicate official warnings, mobile home residence, risk area residence, observations of environmental (storm conditions) and social (other people’s behavior) cues, and expectations of severe personal impacts, all have consistently…

  • Behavioral Response in the Immediate Aftermath of Shaking

    Open Access•Ihnji Jon, Michael K Lindell et al.•ARTICLE•International Journal of…•2016

    This study examines people's response actions in the first 30 min after shaking stopped following earthquakes in Christchurch and Wellington, New Zealand, and Hitachi, Japan. Data collected from 257 respondents in Christchurch, 332 respondents in Hitachi, and 204 respondents in Wellington revealed notable similarities in some response actions immediately after the shaking stopped. In all four events, people were most likely to contact family memb…

Disaster Management and Resilience (2 works) · Engineering (2 works) · Geography (2 works) · Medicine (2 works) · Demography (1 work) · Demography (1 work) · Disaster Response and Management (1 work) · Emergency response (1 work) · Environmental health (1 work) · Evacuation and Crowd Dynamics (1 work)

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