Exploring the Failure Mechanism of Container Port Logistics System Based on Multi-Factor Coupling

Container ports are prone to delays, congestion, and logistics interruptions under the perturbation of uncertain events inside outside system. This not only affects service quality system but also brings a serious blow whole transportation network. Therefore, this paper aims develop hybrid Bayesian network (BN) model investigate failure mechanism container port Considering complex coupling relationship between risks, DEMATEL ISM methods presented thoroughly analyze interdependence hierarchical structure factors. The evolution is then analyzed using BN reasoning ability. suggested can identify main factors, examine how factors coupled, produce propagation path resulting in failure. findings indicate that risks associated with technology, facilities, equipment most significant immediate system; human affect all components by acting on other factors; organizational management have fundamental impact stability additionally, uncertainty external has greatly increased variability each link. study provides useful insights for risk management.