The hazard analysis of passenger-cargo ferries: a revised risk matrix model based on fuzzy best-worst method

Improving hazards in maritime transport is essential to maintain the reliability and sustainability of the industry, ensure safety and security, and support global trade and economic growth. This paper is aimed at analyzing the hazards of passenger-cargo ferries (PCFs). The novelty of this paper is fourfold: (1) developing a revised risk matrix (RRM) model with considering the adaptability-based resilience of organization to assess PCFs' hazards, (2) identifying risk factors (RFs) in ferry navigation and developing adaptive strategies to mitigate hazards, (3) applying the fuzzy best-worst method (BWM) to determine the RFs' weight, and (4) employing the leading Taiwanese passenger-cargo ferry operator (the Taiwan-ferries case) as an empirical study to verify the proposed model. The empirical result can provide pragmatic information for ferry operators to improve the safety of their ferry navigations. Additionally, the proposed RRM model can provide a methodological reference for related research in hazard management.