Who risky driving behavior in a flood of deals? a case analysis

  Abstract  Driving in flood is the first major cause of flood-related death. This study was aimed to determine risk factors associated with dangerous behavior of driving in flood and related behavioral modeling. This study was descriptive-analytical. Target population was 150 residents over 18 years old of Quchan city. Data was gathered by a questionnaire. chi-square test and logistic regression analysis were used to data analysis and estimating model. Chi-square test results showed that the three variables: level of education, reaction to flood warnings and knowledge about the main causes of deaths in floods had significant relationship with variable of behavior of driving in floods. in the estimated logistic regression model, two variables, level of education and reaction to flood warnings, had predicting value for behavior of driving in floods. Results show the likelihood of incidence of risky driving behavior among those without college education when exposure to flooding is more than 2.6 times of those with college education. In addition, people who donot take flood warnings seriously 2.5 times more likely than others to express the risky driving behavior. By identifying high risk groups in flood-porn areas, some interventions and training programs can be set to reduce dangerous behavior of driving in floods.