Bayesian Model for Constructing Factors Affecting Ship Accidents and Accident Consequences ()
ABSTRACT
Global
economic growth has stimulated the growth of international trade, leading to
more maritime transport activities. However, in a complex and high-risk
environment at sea, heavy ship accidents are difficult to eliminate. In order
to prevent ship accidents more effectively, this paper attempts using Bayesian
network model to construct the dependence relationship among ship’s inherent properties (ship age, ship flag,
classification society, ship size and types), Port State Control (PSC)
inspection defect items, accident and consequences. In addition, the model can be continuously updated as the
external environment changes.
Share and Cite:
Wang, M. (2019) Bayesian Model for Constructing Factors Affecting Ship Accidents and Accident Consequences.
Open Journal of Social Sciences,
7, 168-175. doi:
10.4236/jss.2019.79013.