efficiency estimation of road transport safety in iranian provinces under uncertainty conditions

Introduction: road safety is a recognized global issue and according to the who, road traffic injuries are the eighth leading cause of death in all age groups, especially 5 to 29 years. therefore, in this article, the road safety performance of iran’s provinces is examined.methods: this research was done using data envelopment analysis (dea) method which is used in two deterministic and non-deterministic situations in order to evaluate road safety efficiency scores. this method gives scores (inefficiency) that allow road sections to be ranked appropriately in terms of being accident-prone. uncertainty is one of the inevitable features of real-world problems, for which fuzzy theory and extend the dea-rs model is used by considering its limitations as probability, necessity, and credibility constraints, and propose three fuzzy models such as possibility of dea-rs (posdea-rs); necessary dea-rs (necdea-rs); and the credibility of the dea-rs (credea-rs).findings: three models which are extensions of the data envelopment analysis based on the road safety (dea-rs) model are proposed for evaluating road safety performance and the credea-rs model is suitable for assessing the safety of roads in the provinces of iran.conclusion: the results show that the provinces located in mountain and forest areas like gilan have a lower performance in terms of road safety, and provinces located in desert areas like yazd have a higher road safety performance.