- Tytuł:
- Causative chaindifference for each type of accidents in Japanese Maritime Traffic Systems (MTS)
- Autorzy:
-
Mutmainnah, W.
Bowo, L. P.
Sulistiyono, A. B.
Furusho, M. - Powiązania:
- https://bibliotekanauki.pl/articles/117583.pdf
- Data publikacji:
- 2017
- Wydawca:
- Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
- Tematy:
-
maritime traffic
vessel traffic service (VTS)
Maritime Traffic Systems (MTS)
Japanese Maritime Traffic Systems (MTS)
Causative Chain (CC)
type of accidents
maritime accidents
Japan Transportation Safety Board (JTSB) - Opis:
- Causative chain (CC) is a failure chain that cause accident as an outcome product of the second step of MOP model, namely line relation analysis (LRA). This CC is a connection of several causative factors (CF), an outcome product of first step of MOP model, namely corner analysis (CA). MOP Model is an abbreviation from 4M Overturned Pyramid, created by authors by combining 2 accident analysis models. There are two steps in this model, namely CA and LRA. Utilizing this model can know what is CF that happen dominantly to the accidents and what is a danger CC that characterize accidents in a certain place and certain period. By knowing the characteristics, the preventive action can be decided to decrease the number of accident in the next period. The aim of this paper is providing the development of MOP Model that has been upgraded and understanding the characteristics of each type accident. The data that is analyzed in this paper is Japanese accidents from 2008 until 2013, which is available on Japan Transportation Safety Board (JTSB)’s website. The analysis shows that every type of accidents has a unique characteristic, shown by their CFs and CCs. However, Man Factor is still playing role to the system dominantly.
- Źródło:
-
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 3; 489-494
2083-6473
2083-6481 - Pojawia się w:
- TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
- Dostawca treści:
- Biblioteka Nauki
Artykuł