2019
DOI: 10.3390/jmse7120448
|View full text |Cite
|
Sign up to set email alerts
|

An Improved Ship Collision Risk Evaluation Method for Korea Maritime Safety Audit Considering Traffic Flow Characteristics

Abstract: Ship collision accidents account for the majority of marine accidents. The collision risk can be even greater in ports where the traffic density is high and terrain conditions are difficult. The proximity assessment model of the Korea Maritime Safety Audit (KMSA), which is a tool for improving maritime traffic safety, employs a normal distribution of ship traffic to calculate the ship collision risk. However, ship traffic characteristics can differ according to the characteristics of the sea area and shipping … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
12
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 15 publications
(13 citation statements)
references
References 27 publications
1
12
0
Order By: Relevance
“…Similarly, the effect of environmental conditions on marine accidents has been revealed in other studies in the literature [5,22,23,55,56,57].…”
Section: Analysis Of Passenger Vessel Grounding Accidents With Hfacs-pvsupporting
confidence: 55%
“…Similarly, the effect of environmental conditions on marine accidents has been revealed in other studies in the literature [5,22,23,55,56,57].…”
Section: Analysis Of Passenger Vessel Grounding Accidents With Hfacs-pvsupporting
confidence: 55%
“…In Soner et al, (2018), preliminary data were studied, and an analysis of a selected vessel was conducted to monitoring its performance along the ship routes studied. Some papers presented methods of risk analysis, taking into account the specifics of infrastructure (Yoo and Kim;2019) and traffic (Guze andKołowrocki, 2017), andin Bužančić Primorac et al, (2020), a probabilistic model of damage to the ship's hull was developed. The analysis of recent publications led us to conclude that, as a rule, regression models are used to establish the influence of factors in shipping (for example, Petersen et al, (2011), Onyshchenko et al, (2015), while models based on the Markov processes are used to assess potential risks (Peel and Good, 2011;Girtler, 2013;Onyshchenko and Melnyk, 2020).…”
Section: Literature Overview and Problem Formulationmentioning
confidence: 99%
“…Yu and Kim [18] considered the maritime traffic characteristics of Ulsan port to improve the collision probability assessment method for Korea Maritime Safety Audit. In the present study, to suggest the safety distance suitable for the traffic characteristics of each port, annual data analysis for 2015-2019 on the number of ships, arrival and departure volumes, and accidents was conducted to identify traffic characteristics of the Busan and Incheon ports in Korea.…”
Section: Target Portmentioning
confidence: 99%