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dc.titleModeling perceived collision risk in port water navigation
dc.contributor.authorChin, H.C.
dc.contributor.authorDebnath, A.K.
dc.identifier.citationChin, H.C., Debnath, A.K. (2009-12). Modeling perceived collision risk in port water navigation. Safety Science 47 (10) : 1410-1416. ScholarBank@NUS Repository.
dc.description.abstractAn increase in the likelihood of navigational collisions in port waters has put focus on the collision avoidance process in port traffic safety. The most widely used on-board collision-avoidance system is the automatic radar plotting aid which is a passive warning system that triggers an alert based on the pilot's pre-defined indicators of distance and time proximities at the closest point of approaches in encounters with nearby vessels. To better help pilot in decision making in close quarter situations, collision risk should be considered as a continuous monotonic function of the proximities and risk perception should be considered probabilistically. This paper derives an ordered probit regression model to study perceived collision risks. To illustrate the procedure, the risks perceived by Singapore port pilots were obtained to calibrate the regression model. The results demonstrate that a framework based on the probabilistic risk assessment model can be used to give a better understanding of collision risk and to define a more appropriate level of evasive actions. © 2009 Elsevier Ltd. All rights reserved.
dc.subjectAutomatic radar plotting aid
dc.subjectCollision risk perception
dc.subjectHarbor pilot
dc.subjectOrdered regression model
dc.subjectPort navigation safety
dc.contributor.departmentCIVIL ENGINEERING
dc.description.sourcetitleSafety Science
Appears in Collections:Staff Publications

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