Modeling perceived collision risk in port water navigation

Chin, Hoong Chor & Debnath, Ashim Kumar (2009) Modeling perceived collision risk in port water navigation. Safety Science, 47(10), pp. 1410-1416.

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An 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.

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24 citations in Scopus
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18 citations in Web of Science®

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ID Code: 50700
Item Type: Journal Article
Refereed: Yes
Keywords: Ordered regression model, Risk perception, Collision risk, Port navigation safety, Automatic Radar Plotting Aid, Harbor pilot
DOI: 10.1016/j.ssci.2009.04.004
ISSN: 0925-7535
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MARITIME ENGINEERING (091100)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Psychology & Counselling
Copyright Owner: Copyright 2009 Elsevier Ltd. All rights reserved.
Copyright Statement: NOTICE: This is the author’s version of a work that was accepted for publication in Safety Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Safety Science, Volume 47, Issue 10, December 2009, Pages 1410–1416.
Deposited On: 01 Jun 2012 00:46
Last Modified: 01 Jun 2012 01:15

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