Navigation Safety Analysis in Taiwanese Ports

Many researchers have studied vessel systems to enhance navigation safety at sea, or analysed the statistics of marine casualties of different flagged vessels as well as the fatalities and injuries in ferry accidents. However, little research has been devoted to port safety and especially navigation safety within Taiwanese territorial waters where over a 10-year period there have been 3428 marine accidents with 548 deaths and 524 vessels sunk. In this paper, we use the Grey Relational Analysis (GRA) to analyse the marine accident records of each of Taiwan's commercial ports from 1992–2003. Then, after interviewing the port authority managers and marine specialists, we discover the concerns felt by these professionals about Taiwanese commercial ports. We provide suggestions to strengthen port navigation safety.

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Application of Grey Relational Analysis to Evaluate Port Safety in Keelung Harbor

Journal of Ship Production and Design ◽

10.5957/jspd.2010.26.3.206 ◽

2010 ◽

Vol 26 (03) ◽

pp. 206-210

Author(s):

Hui-Chiao Wang ◽

Hsuan Shih Lee

Keyword(s):

Grey Relational Analysis ◽

Safety Analysis ◽

Relational Analysis ◽

Grey Relational ◽

Port Areas ◽

Keelung Harbor

The objective of this paper is to devise a port safety analysis in a harbor. In this paper, the Grey Relational Analysis (GRA) is applied to analyze and discuss the marine casualties occurring in Keelung Harbor. GRA is mainly applied to explore the relativity between marine casualties and accident sites. The paper concludes that the coastal and in-port areas are the main accident sites. Fire or explosion and damage to machinery are the main marine casualties. The results will assist in improving port safety in Keelung Harbor.

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Investigation of Oil Spills from Oil Tankers through Grey Theory: Events from 1974 to 2016

Journal of Marine Science and Engineering ◽

10.3390/jmse7100373 ◽

2019 ◽

Vol 7 (10) ◽

pp. 373 ◽

Cited By ~ 4

Author(s):

Dong-Taur Su ◽

Fu-Ming Tzu ◽

Chung-Hung Cheng

Keyword(s):

Decision Maker ◽

Oil Spill ◽

Grey Relational Analysis ◽

Oil Spills ◽

Grey Theory ◽

Basic Construction ◽

Relational Analysis ◽

Oil Tankers ◽

Marine Accidents ◽

Grey Relational

An oil spill from a vessel is a critical maritime accident that can severely damage the environment. In this study; we utilize the basic construction of grey relational analysis to explore oil spill events statistics from 1974 to 2015 and successfully analyze the causes of incidents in 2016. The results illustrate that grey relational analysis effectively identifies the factors causing oil spills with an accuracy of over 96%. The research is aimed to reduce the marine accidents and predict the cause of oil spill in advance. The analysis is dealing with the incidents to approach the circumstance in various intensity of oil spill in the last 40 years. Moreover, an application of grey theory demonstrates accurate and reliable methodology to decision maker. Thus, the investigation can predict the causes of pollution from oil spill accidents in the future.

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