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The effect of circadian rhythms on shipping accidents

Published online by Cambridge University Press:  13 April 2021

Juan Vinagre-Ríos
Affiliation:
PhD (Nautical Sciences). Ship's Captain.
José-Manuel Pérez-Canosa*
Affiliation:
Navigation Sciences and Marine Engineering Department, A Coruña University, A Coruna, Spain
Santiago Iglesias-Baniela
Affiliation:
PhD (Nautical Sciences). Ship's Captain.
*
*Corresponding author. E-mail: jose.pcanosa@udc.es
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Abstract

It is a well-known fact that humans are subject to circadian alterations caused by the action of sunlight. This strongly affects their behaviour and skill, making them change their level of alertness from high at daytime to low at night-time. Taking into account this biological feature, and considering that commercial shipping is one of the oldest round-the-clock activities, raises the question whether bridge watchkeepers can carry out their tasks on night shifts with the same level of alertness as on day shifts. Furthermore, night bridge watchkeeping has to be performed in darkness or very dim light to improve the visual capacity of lookouts. A sample of vessel collisions was analysed and it was find out that this kind of accident tends to be more frequent and more serious during the darkness period of the solar day.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation
Figure 0

Figure 1. Raw data plots of average serum MLT secretion in all age groups subjects and level of alertness of a group of bridge watchkeepers according to the time of day

Figure 1

Figure 2. Number of collisions in different periods of the solar day that matches the shifts of a four-on/eight-off schedule (h)

Figure 2

Table 1. Frequencies of expected and observed collisions in each sea-watch

Figure 3

Table 2. Output of chi-square test with significance

Figure 4

Table 3. Cross-tabulation of type of accident on each sea-watch

Figure 5

Table 4. Correspondence analysis showing value of the chi-squared statistic, its significance and dimensions

Figure 6

Figure 3. Bi-plot of the correspondence analysis between the type of accident and the type of watch, obtained with the program PASW Statistics 18