A Preliminary Study on User Profile for Earthquake Early Warning Cognition

Using direct survey method to obtain the data of earthquake early warning related to cognitive, and multivariate ordered Logistic regression model to screening the influencing factors of public awareness of earthquake early warning indicators. By means of frequency analysis, cross analysis and description analysis, the user profile oriented to the cognitive theme of earthquake early warning is constructed. It can intuitively, concretely and vividly show the public's cognition of earthquake early warning. According to the results, four earthquake early warning information service countermeasures and suggestions are put forward, including publicity and training, release and coverage, drill and disposal, false alarm and measures, in order to better expand the earthquake early warning information release work and provide high-quality public services for earthquake prevention and disaster reduction.