Next Article in Journal
Migration and Diffusion of Heavy Metal Cu from the Interior of Sediment during Wave-Induced Sediment Liquefaction Process
Next Article in Special Issue
A Computational Approach to the Prediction of the Floating Condition of ROPAX Vessel after Firewater Accumulation in Firefighting Operation
Previous Article in Journal
The Reproduction Ability of a Numerical Model for Simulating the Outflow Rate of Backfilling Materials from a Coastal Structure
Previous Article in Special Issue
Investigation of Oil Spills from Oil Tankers through Grey Theory: Events from 1974 to 2016
Open AccessArticle

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

by Yunja Yoo 1 and Tae-Goun Kim 2,*
1
Maritime Safety Department, Korea Maritime Institute, Busan 49111, Korea
2
Division of Maritime Transportation Science, Korea Maritime & Ocean University, Busan 49112, Korea
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2019, 7(12), 448; https://doi.org/10.3390/jmse7120448
Received: 3 October 2019 / Revised: 2 December 2019 / Accepted: 3 December 2019 / Published: 7 December 2019
(This article belongs to the Special Issue Maritime Safety)
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 route. Therefore, this study simulates collision probabilities by estimating the best-fit distribution function of ship traffic flow in Ulsan Port, which is the largest hazardous cargo vessel handling port in Korea. A comparison of collision probability simulation results using the best-fit function and the normal distribution function reveals a difference of approximately 1.5–2.4 times for each route. Moreover, the collision probability estimates are not accurate when the normal distribution function is uniformly applied without considering the characteristics of each route. These findings can be used to improve the KMSA evaluation method for ship collision risks, particularly in hazardous port areas. View Full-Text
Keywords: ship collision risk; geometric collision probability; distribution characteristics; gate line; ship collision frequency ship collision risk; geometric collision probability; distribution characteristics; gate line; ship collision frequency
Show Figures

Figure 1

MDPI and ACS Style

Yoo, Y.; Kim, T.-G. An Improved Ship Collision Risk Evaluation Method for Korea Maritime Safety Audit Considering Traffic Flow Characteristics. J. Mar. Sci. Eng. 2019, 7, 448.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop