Modeling perceived collision risk in vessel encounter situations

Risk perception of the situation by an officer on watch is the basis for improving situational awareness, which is crucial in preventing ship collisions in vessel encounter situations. Defining risk perception for a vessel collision situation requires identifying the perceived risk. This paper derives a multiple linear regression model for studying risk perception on a ship in various collision encounter situations. To illustrate the procedure, the collision risk perceived by Korea Coast Guard officers on a patrol ship was obtained and applied to calibrate the regression model. The results demonstrate that the proposed model can be used to define risk perception and to provide a better understanding of the perceived risk in collision encounter situations. The application of some interesting results to the enhancement of the perception of the situation was also discussed.