627
4. Overlap duration = 1/3 (E+L).
5. n value (minutes).
Based on the MSC.1/Circ.1533 this provided the
parameter to facilitate evacuation simulation, that is
related the population categorize which is explained
the composition of the population in term of age,
gender, physical attribute, and response duration. The
population consist of the following combination:
Table 2. Populations Composition
________________________________________________
Population Group Percentage Amount of
Passengers of Passengers (%) Passengers
________________________________________________
Female < 30 years 7 15
Female 30 – 50 years 7 15
Female > 50 years old 16 34
Female > 50 years,
Mobility Impaired (1) 10 21
Female > 50 years,
Mobility Impaired (2) 10 21
Male < 30 years 7 15
Male 30 – 50 years 7 15
Male > 50 years 16 34
Male > 50 years, M1 10 21
Male > 50 years, M2 10 21
________________________________________________
Population Group Percentage Amount of
Crew of Crew (%) Crew
________________________________________________
Crew Females 50 12
Crew Males 50 12
________________________________________________
Total 236
________________________________________________
For the purpose of conducting an evacuation
analysis, the initial distribution of passengers and crew
on board should be considered. In this study, the
researcher uses IMO MSC.1/Circ. 1533 guidelines for
the following case:
1. Case 1 (primary evacuation case, night)
Passengers in cabin with maximum berthing
capacity occupied; 2/3 of crew members in their
cabins; of the remaining 1/3 of crew members:
1) 50% are in their respective workplaces.
2) 50% are spread over each deck.
2. Case 2 (primary evacuation case, day)
Public spaces, as defined by SOLAS regulation II-
2/3.39, will be occupied to 75% of maximum
capacity of the spaces by passengers. Crew will
distributed as follows:
1) 1/3 of the crew are in cabin.
2) 1/3 of the crew are in public spaces.
3) the other 1/3 are in their respective workplaces.
3. Case 3 and 4 (secondary evacuation, night and day)
These cases use the same population demography
as the primary evacuation case with the difference
that one stair on a ship that has a large capacity for
passengers to pass during an evacuation is
considered unusable in this case simulation.
In this study, case 3 and 4 will only be used in a fire
scenario.
For each of the gender group specified in table 2,
walking speed must be modeled as a statistical
distribution which has minimum and maximum
values, as follow:
Table 3. Walking Speed on Flat Terrain
________________________________________________
Population Group Walking Speed
Passengers Min (m/s) Max (m/s)
________________________________________________
Female < 30 years 0.93 1.55
Female 30 – 50 years 0.71 1.19
Female > 50 years 0.56 0.94
Female > 50 years, M1 0.43 0.71
Female > 50 years, M2 0.37 0.61
Male < 30 years 1.11 1.85
Male 30 – 50 years 0.97 1.62
Male > 50 years 0.84 1.4
Male > 50 years, M1 0.64 1.04
Male > 50 years, M2 0.55 0.91
________________________________________________
Population Group Walking Speed
Crew Min (m/s) Max (m/s)
________________________________________________
Crew Females 0.93 1.55
Crew Males 1.11 1.85
________________________________________________
The walking speed on stairs were given by the
category of gender, age, and direction of travel up
which has the values as follow:
Table 4. Walking Speed on Stairs
________________________________________________
Group of The Passenger Walking Speed on Stairs
Population Min (m/s) Max (m/s)
________________________________________________
Female < 30 years 0.47 0.79
Female 30 – 50 years 0.44 0.74
Female > 50 years 0.37 0.61
Female > 50 years, M1 0.28 0.46
Female > 50 years, M2 0.23 0.39
Male < 30 years 0.50 0.84
Male 30 – 50 years 0.47 0.79
Male > 50 years 0.38 0.64
Male > 50 years, M1 0.29 0.49
Male > 50 years, M2 0.25 0.41
________________________________________________
Group of The Crew Walking Speed on Stairs
Population Min (m/s) Max (m/s)
________________________________________________
Crew Females 0.47 0.79
Crew Males 0.50 0.84
________________________________________________
Previous research conducted by Trika Pitana et al.,
showed that the differenciate in total evacuaton time
between walking speed data in IMO and research is not
too significant, it could mean that the data is relevant
IMO if applied to the case of evacuation in Indonesia
[6].
2.3 Accident Scenario
This study was conducted with two dangerous
conditions that triggered the evacuation. The
conditions are a fire in the engine room caused by a
leak in the fuel pipe and the ship experiencing a 20
heel. This scenario is defined based on primary cases
and secondary cases according to IMO
MSC.1/Circ.1533.
2.4 Data Processing
From the data that has been obtained, several
evacuation simulations will be carried out by moving
the position of the liferaft to determine the placement
of the liferaft where the evacuation simulation process
shows the most effective results. The following are the
steps taken in processing the data:
1. Reading the General Arrangement of KMP Aceh
Hebat 3 to find out the placement of liferaft.