A Hybrid Approach for Quantitative Analysis of Fire Hazards in Enclosed Vehicle Spaces on Ro-ro Passenger Ships

Abstract

This study probes the probabilistic features of major fire hazards in enclosed spaces to establish their importance to the occurrence of fires onboard Ro-ro passenger ships and, in turn, to raise effective operational countermeasures. Distinct from the previous studies, the present research employs Bayesian Network (BN) analysis to determine the probabilities of fire hazards more effectively. The results of the first 10 important basic events obtained by the BN model are divided into five groups (Vehicle electrical fires, Reefer vehicle fires, Vehicle-carried cargo fires, Potential causal factors of fire for LIB vehicles, and Vehicle fires originating from human factors), Which prompts the authors to propose preventive measures for mitigating the possibility of fire occurrence on this type of electric vehicle. It is hoped that these measures can be essential justifications for establishing relevant rules regarding carrying LIB vehicles in enclosed spaces on an international level.