447
The classification shown in Table 4 is, however,
not particularly useful for the purpose of risk as-
sessment because large percentage of casualtied was
classified as unavoidable. This is certainly wrong,
because there is always some cause behind the casu-
alty and it is probably that human and organisation
errors (HOE) or heavy weather and perhaps other
causes qualified by marine courts as “force majeure”
are hidden in this category.
As an example of application of this methodology
the list of hazards in respect to CRG casualties is
shown in Fig. 2. In this example ranking of hazards
is not shown, moreover the sketch could be consid-
ered as the first level of the fault tree leading to
CRG. Hazards identified as relevant to safety against
CRG are all strongly interconnected, moreover, hu-
man factor understood as performance of an individ-
ual (in most cases the master) plays important part in
each case. Hazards identified should be further de-
composed preferably using fault trees and/or events
trees reproducing various scenarios of CRG casual-
ty. The set and combination of fault trees and event
trees as developed for all hazards identified and all
scenarios (defined as risk contribution trees – RCT)
is a basis for HAZOP (hazard and operability study)
procedure that allows also assessment of frequencies
(probabilities) of hazards required for risk assess-
ment. This is rather tedious task bearing in mind the
multitude of possible scenarios. This problem, how-
ever, is not discussed here.
7 EFFECT OF HUMAN FACTOR
As human and organization errors (HOE) are major
causes of CRG casualties they require a special at-
tention. HOE may be the result of design and con-
struction faults (bad manoeuvring characteristics of
ships) and force majeure, that are responsible for
about 20% of all HOE casualties (Payer,1994), the
rest may be attributed to operational factors that in-
clude the following:
− society and safety culture
− organization
− system
− individual
Society and its culture has important effect on
safety. Economic factors tend to limit safety re-
quirement, because enhancement of safety cost
more; from the other hand lower safety level results
in higher cost of increased number of accidents.
There exists certain optimum from the purely eco-
nomic point of view, but if fatalities are resulting
from accidents the pure economic point of view is
no more valid and crucial point is how high risk may
be acceptable by the society. The risk is much lover
in developed countries in comparison with the coun-
tries that are not yet developed.
The society culture is strongly related with safety
culture. High safety culture helps to avoid a large
percentage of accidents. The enquiry by the RINA
amongst a number of naval architects did show, that
the majority of them recognized safety culture as the
most important factor in safety (The Naval Architect
1999).
Figure 3. Effect of safety culture on accidents rate
Organization. A great number of accidents is
caused by bad management or bad organization. Bad
organization could mean lack of supervision, lack of
procedures, lack of instructions, lack of activity by
marine administration, lack of policy for safety
management or lack of motivation. One important
factor is also culture of shipping company. For ex-
ample the dominant culture of company might be
tendency to achieve gain without considering risk
(flirting with risk) or forcing excessive strain leading
to over-fatigue and in consequence may appear to be
opposite with the aim of the company.
System. The following system faults influence
operator behaviour: complexity, faulty signalization,
small tolerances, difficult operation, inaccessibility,
high demands in operation, wrong alarms, bad visi-
bility, incomplete software, etc.
Individual. Operator’s error is the most common
cause of accident. However it is very difficult to
identify the real reason of the operator action. There
is a long list of possible causes as shown in table 5.
It is really impossible to attach probabilities to all
factors listed in Table 5, because the relevant statis-
tical data do not exist and there is no chance that
such statistics will be ever available. However all the
above factors may be divided in three groups:
1 individual character of the operator- integrity, re-
liability, morale
2 physical predispositions – health, endurance, im-
munity
3 knowledge – education, training, experience
re
sive com-
pliance
avoidance
%