Multi-criteria decision making (MCDM) methods can be applied to determine the hazard of vehicle fires from the point of view of protecting people and the environment, if experimental data are known for different types and models of vehicles from the measurements of harmful gases, toxic metals and compounds, and hazardous substances in smoke, soot, and ash from fires. Weighting methods are used in order to determine the weights of these criteria. This paper presents the results of applying the BWM (Best-Worst Method) as a weighting method and the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) as a multi-criteria decision making method for determining the fire hazard in the case of ICEV (internal combustion engine vehicles) and BEV (battery electric vehicles) fires. The results show that BEV fires are more dangerous than ICEV fires from a bioecological point of view.
Fire hazard, electric vehicles, multi-criteria decision making method, weighting method
This paper is supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia pursuant to agreement with the University of Niš, Faculty of Occupational Safety [Grant Number: 451-03-137/2025-03/200148; Goal 7] and agreement with the University of Niš, Faculty of Electronic Engineering [Grant Number: 451-03-137/2025-03/200102].
© 2023 Faculty of Occupational Safety - Multimedia