INVESTIGATION OF THE SINGLE VEHICLE ACCIDENTS SEVERITY BY USING A PROBABILISTIC APPROACH

Sustainable development represents one of the primary strategic management challenges for organizations operating across various economic sectors.The production and utilization of transportation means aimed at reducing greenhouse gas emissions lead to an enhancement of environmental protection.Many automotive companies are deploying electric vehicles, thus contributing to sustainable development.However, selecting the most suitable electric vehicle from the available options poses a challenge.This paper aims to introduce a two-stage model that integrates the CRiteria significance Through Intercriteria Correlation and Elimination (CRITIC) method with Limination Et Choix Traduisant la REalit (ELECTRE).The CRITIC method is used to obtain weighs vector of electric vehicle attributes, while the ELECTRE method is used for ranking the considered electric vehicle models.The proposed model is demonstrated using a sample of 17 feasible electric vehicle variants, evaluated based on seven features.Input data are sourced from relevant literature.