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Kevin Simmons, D. Sutter (2008)
Manufactured home building regulations and the February 2, 2007 Florida tornadoesNatural Hazards, 46
Barbara Hammer, T. Schmidlin (2002)
Response to Warnings during the 3 May 1999 Oklahoma City Tornado: Reasons and Relative Injury RatesWeather and Forecasting, 17
B. Paul, V. Brock, S. Csiki, L. Emerson (2003)
Public Response to Tornado Warnings: A Comparative Study of the May 4, 2003, Tornados in Kansas, Missouri, and Tennessee
R. Comstock, S. Mallonee (2005)
Comparing reactions to two severe tornadoes in one Oklahoma community.Disasters, 29 3
J. Sorensen (2000)
Hazard Warning Systems: Review of 20 Years of ProgressNatural Hazards Review, 1
NWS (2008)
Storm tracks and photo links from the Super Tuesday Tornado Outbreak—February 5–6, 2008.
NCDC (2008)
Storm Data.
(1992)
Behavioral Foundations of Community Emergency Management Planning
(2001)
Tornado shelters in mobile home parks in the United States
T. Schmidlin, Barbara Hammer, Y. Ono, Paul King (2009)
Tornado shelter-seeking behavior and tornado shelter options among mobile home residents in the United StatesNatural Hazards, 48
U.S. Census Bureau (2010)
State and County QuickFacts: 2006–2008 American Community Survey.
Margarethe Kusenbach, Jason Simms, G. Tobin (2009)
Disaster vulnerability and evacuation readiness: coastal mobile home residents in FloridaNatural Hazards, 52
Walker Ashley (2007)
Spatial and Temporal Analysis of Tornado Fatalities in the United States: 1880–2005Weather and Forecasting, 22
S. Cutter, Jerry Mitchell, M. Scott (2000)
Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South CarolinaAnnals of the Association of American Geographers, 90
B. Phillips, B. Morrow (2007)
Social Science Research Needs: Focus on Vulnerable Populations, Forecasting, and WarningsNatural Hazards Review, 8
B. Morrow (1999)
Identifying and mapping community vulnerability.Disasters, 23 1
(1990)
Communication of emergency public warnings
U.S. Census Bureau (1994)
Mobile homes.
(1990)
Communication of emergency public warnings. Oak Ridge National Laboratory Rep. ORNL-6609
M. Lindell, Jing-Chein Lu, Carla Prater (2005)
Household Decision Making and Evacuation in Response to Hurricane LiliNatural Hazards Review, 6
B. Montz, G. Tobin (2003)
Hazardousness of the Tampa Region: Evaluating Physical and Socio-Economic Vulnerability, 26
H. Brooks, C. Doswell (2002)
Deaths in the 3 May 1999 Oklahoma City Tornado from a Historical PerspectiveWeather and Forecasting, 17
Tornado shakes Macon County. Macon County Chronicle
Walker Ashley, Andrew Krmenec, Rick Schwantes (2008)
Vulnerability due to Nocturnal TornadoesWeather and Forecasting, 23
G. White, J. Haas (1975)
Assessment Of Research On Natural Hazards
U.S. Census Bureau (2003)
Structural and occupancy characteristics of housing: 2000.
Kevin Simmons, D. Sutter (2005)
WSR-88D Radar, Tornado Warnings, and Tornado CasualtiesWeather and Forecasting, 20
A. Fothergill, L. Peek (2004)
Poverty and Disasters in the United States: A Review of Recent Sociological FindingsNatural Hazards, 32
(2007)
Spatial and temporal analysis of tornado fatalities in the United States
Lillibridge (1997)
Tornadoes.
Kevin Simmons, D. Sutter (2008)
Tornado Warnings, Lead Times, and Tornado Casualties: An Empirical InvestigationWeather and Forecasting, 23
S. Liu, L. Quenemoen, J. Malilay, E. Noji, T. Sinks, J. Mendlein (1996)
Assessment of a severe-weather warning system and disaster preparedness, Calhoun County, Alabama, 1994.American journal of public health, 86 1
(2008)
Tornado shakes Macon County
R. Berger (1996)
More Powerful Tests from Confidence Interval p ValuesThe American Statistician, 50
Kevin Simmons, D. Sutter (2007)
Tornado shelters and the manufactured home parks marketNatural Hazards, 43
(2005)
WSR-88D radar, tornado
Storm tracks and photo links from the Super Tuesday Tornado Outbreak
U.S. Census Bureau (2009)
Population finder: Lafayette, Tennessee, and Macon County, Tennessee, 2008 population estimates.
(2009)
Nature's most violent storms. NOAA/PA 99050, 16 pp
Jayajit Chakraborty, G. Tobin, B. Montz (2005)
Population Evacuation: Assessing Spatial Variability in Geophysical Risk and Social Vulnerability to Natural HazardsNatural Hazards Review, 6
(2008)
National Weather Service, 48 pp
M. Eidson, Jeffrey Lybarger, John Parsons, Jeffrey MacCormack, John Freeman (1990)
Risk factors for tornado injuries.International journal of epidemiology, 19 4
J. Hart, M. Rhodes, J. Morgan (2002)
The unknown world of the mobile home
L. Balluz, L. Schieve, Talmage Holmes, S. Kiezak, J. Malilay (2000)
Predictors for people's response to a tornado warning: Arkansas, 1 March 1997.Disasters, 24 1
NOAA (2009)
Thunderstorms… tornadoes…. lightning….: Nature’s most violent storms.
J. Golden, Christopher Adams (2000)
The Tornado Problem: Forecast, Warning, and ResponseNatural Hazards Review, 1
Sheryll Brown, P. Archer, E. Kruger, S. Mallonee (2002)
Tornado-Related Deaths and Injuries in Oklahoma due to the 3 May 1999 TornadoesWeather and Forecasting, 17
(1999)
Identifying and mapping community
NWS (2009)
Service Assessment: Super Tuesday Tornado Outbreak of February 5–6, 2008.
Mobile home residents are known to be highly vulnerable to tornadoes and account for a considerable portion of tornado-related fatalities. The problem is partially related to the limited protection provided by the structure; however, shortcomings in preparedness and response to warnings may also play a role. This study investigated mobile home resident preparedness and responses to warnings for identifying areas where they might be more vulnerable than permanent home residents (brick and wood-frame houses). The study site was Macon County, Tennessee, which reported the highest number of fatalities during the 2008 Super Tuesday tornado outbreak. A post-disaster survey was conducted within days of the disaster, and the study group included 127 local residents: 35% mobile home (MH) residents, 61% permanent home (PH) residents, and 4% other. An unconditional exact test was used to test for statistical significance (0.05 level) because the sample was nonrandom. The MH residents were less prepared than the PH residents in all six categories evaluated. The difference was significant in having participated in a tornado drill, having a tornado-resistant shelter on the premises, and having an emergency response plan for seeking shelter. The MH residents were also less likely to follow the plan, and the difference was significant. Furthermore, the MH residents were much less likely to take shelter in a safe location. Preparedness factors that promoted higher evacuation rates among MH residents included having participated in a tornado drill, understanding the definition of a tornado warning, and having a plan for seeking shelter.
Weather, Climate, and Society – American Meteorological Society
Published: Nov 13, 2009
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