Evaluating Fare Evasion Risk in Bus Transit Networks

•Intermediate and final factors of fare evasion and risk exposure variables are identified.•The risk function of fare evasion is computed by a bivariate model integrating frequency and severity.•The frequency is modelled by intermediate and exposure factors by Generalised Linear Regression Models.•The severity is modelled by intermediate factors by a Logistic Regression.•Bus routes are ranked according to the fare evasion risk function.