Analysis of marine incidents in Malaysia

There are no clear view of marine incident in Malaysia which not only pose problem for local authorities who try to improve maritime safety through legislation but also to risk management companies and other entities that use maritime casualty statistics in risk and accident analysis. Thus, this stu...

Full description

Saved in:
Bibliographic Details
Main Author: Haron, Surhan Jamil
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48730/25/SurhanJamilHaronMFKM2015.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utm-ep.48730
record_format uketd_dc
spelling my-utm-ep.487302020-06-21T01:05:47Z Analysis of marine incidents in Malaysia 2015-01 Haron, Surhan Jamil HE Transportation and Communications There are no clear view of marine incident in Malaysia which not only pose problem for local authorities who try to improve maritime safety through legislation but also to risk management companies and other entities that use maritime casualty statistics in risk and accident analysis. Thus, this study aim to analyse the situation of marine incident in Malaysia by analysing different aspect such as number of marine incident cases, number of fatal incident, types of marine incident, type of ship involves and also to compare result obtained from this study with previous study done by other researchers at different location. The method used to analyse this data is by using linear regression on the number of cases, type of marine incident, type of ship and fatal marine incident to analyse their growth pattern. This study then proceed in using f-n chart to find social risk curve in order to determine the probability of accident with 10 or more death and also to compare it with previous study in order to evaluate the value of social risk curve of Malaysia. Data used for this study are provided by Marine Department of Malaysia as well as other sources. After analysing, it is found that the number of cases show decreasing pattern over the year. For the type of ship and type of incident, it show different pattern for each different categories. It is also found out that it is 50% less likely for an accident with 10 or more death to occurred compare to incident with 1 to 10 death to occurred, which is far more risky when compare with previous study. The conclusion that this study achieved is that the Malaysia waters are dangerous but at the same time also show that measure taken by the local authority do have their effectiveness as some of the aspect such as number of cases are actually decreasing. As recommendation, it is suggested that more effort should be put by authorities in improving Malaysia marine safety as well as conducting more closely with researcher in obtaining better solution. 2015-01 Thesis http://eprints.utm.my/id/eprint/48730/ http://eprints.utm.my/id/eprint/48730/25/SurhanJamilHaronMFKM2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86939 masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic HE Transportation and Communications
spellingShingle HE Transportation and Communications
Haron, Surhan Jamil
Analysis of marine incidents in Malaysia
description There are no clear view of marine incident in Malaysia which not only pose problem for local authorities who try to improve maritime safety through legislation but also to risk management companies and other entities that use maritime casualty statistics in risk and accident analysis. Thus, this study aim to analyse the situation of marine incident in Malaysia by analysing different aspect such as number of marine incident cases, number of fatal incident, types of marine incident, type of ship involves and also to compare result obtained from this study with previous study done by other researchers at different location. The method used to analyse this data is by using linear regression on the number of cases, type of marine incident, type of ship and fatal marine incident to analyse their growth pattern. This study then proceed in using f-n chart to find social risk curve in order to determine the probability of accident with 10 or more death and also to compare it with previous study in order to evaluate the value of social risk curve of Malaysia. Data used for this study are provided by Marine Department of Malaysia as well as other sources. After analysing, it is found that the number of cases show decreasing pattern over the year. For the type of ship and type of incident, it show different pattern for each different categories. It is also found out that it is 50% less likely for an accident with 10 or more death to occurred compare to incident with 1 to 10 death to occurred, which is far more risky when compare with previous study. The conclusion that this study achieved is that the Malaysia waters are dangerous but at the same time also show that measure taken by the local authority do have their effectiveness as some of the aspect such as number of cases are actually decreasing. As recommendation, it is suggested that more effort should be put by authorities in improving Malaysia marine safety as well as conducting more closely with researcher in obtaining better solution.
format Thesis
qualification_level Master's degree
author Haron, Surhan Jamil
author_facet Haron, Surhan Jamil
author_sort Haron, Surhan Jamil
title Analysis of marine incidents in Malaysia
title_short Analysis of marine incidents in Malaysia
title_full Analysis of marine incidents in Malaysia
title_fullStr Analysis of marine incidents in Malaysia
title_full_unstemmed Analysis of marine incidents in Malaysia
title_sort analysis of marine incidents in malaysia
granting_institution Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department Faculty of Mechanical Engineering
publishDate 2015
url http://eprints.utm.my/id/eprint/48730/25/SurhanJamilHaronMFKM2015.pdf
_version_ 1747817461774811136