Recent technological innovations and scientific advancements have resulted in a better understanding regarding the prediction and detection of weather events, such as hurricanes and tornadoes, thus increasing the accuracy of weather forecasts and warnings. However, weather forecasting remains a probabilistic science with inherent uncertainties, which impact how individuals and communities at large prepare and respond to disasters.
As part of an Engineering Research Center (ERC), social scientists at the University of Delaware's Disaster Research Center (DRC) are studying the public's knowledge, perceptions, attitudes, and response to tornado events. Using Computer Assisted Telephone Interviewing (CATI), we selected random samples of individuals in communities impacted by tornadoes in 2008, including communities in Kansas, Minnesota, and Oklahoma. Currently, over 200 individuals have been interviewed. Through structured surveys, we explore the perceptions of the interviewees regarding warnings, lead time, false alarms, and protective action in the context of tornado touchdowns in these regions. We also focus on the demographic and socio-economic characteristics of this sample and their impact on protective action. Findings from this research will allow us to match scientific and technological developments with the needs, perceptions, and knowledge of end-users, thus enhancing the societal value and use of such innovations. Further, it will contribute to our knowledge base regarding the roles, challenges, and opportunities confronting communities impacted by tornado events. This is imperative if we are to improve disaster mitigation, response, and recovery at the local and national level.
Supplementary URL: