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

Driving in flood is one of the leading causes of death in floods. This study aimed to determine the risk factors associated with risky driving behavior in flood and provide the relevant behavior model. This is a descriptive analytical study. Data were collected by a questionnaire. Chi-square test and logistic regression analysis were used to analyze the data and estimate the model. The results of chi-square test revealed a significant relationship between three variables of education level, response to flood warning and knowledge of the main causes of death in flood and the variable of driving in flood. In the estimated logistic regression model, two variables of education level and response to flood warning had predictive value for driving behavior in flood. Accordingly, the possibility that people without academic education show risky driving behavior in flood is 2.6 times more than people with academic education. In addition, the possibility of showing risky driving behavior in flood in people who do not take flood risk warning seriously is 2.5 times more than others. Identifying risky groups in flood prone areas and also providing interventions and training programs can help reduce risky driving behavior in flood.