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 withrisky driving behavior in flood and provide the relevant behaviormodel. this is a descriptive analytical study. data were collectedby a questionnaire. chi-square test and logistic regressionanalysis were used to analyze the data and estimate the model.the results of chi-square test revealed a significant relationshipbetween three variables of education level, response to floodwarning and knowledge of the main causes of death in floodand the variable of driving in flood. in the estimated logisticregression model, two variables of education level and responseto flood warning had predictive value for driving behavior inflood. accordingly, the possibility that people without academiceducation show risky driving behavior in flood is 2.6 times morethan people with academic education. in addition, the possibilityof showing risky driving behavior in flood in people who do nottake flood risk warning seriously is 2.5 times more than others.identifying risky groups in flood prone areas and also providinginterventions and training programs can help reduce risky drivingbehavior in flood.