Publication:
A comparative accident analysis model on 2013 Genting Highlands bus crash at Genting Highland - Kuala Lumpur road using selected systemic accident models

cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department896c904c-8976-4757-a851-6151209649cf
cris.virtualsource.orcid896c904c-8976-4757-a851-6151209649cf
dc.contributor.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#en_US
dc.contributor.authorMuhammad Syaqif Syed Jamaludin
dc.date.accessioned2024-10-08T07:25:10Z
dc.date.available2024-10-08T07:25:10Z
dc.date.issued2018
dc.description.abstractRoad traffic accidents are increasingly recognised as a serious public health concern. Each year road traffic accidents cause 1.2 million deaths worldwide and the number is expected to increase by 65 percent in 20 years. One of the challenges to solving this issue is that many accident investigation studies employed methods that gave less emphasis on systemic factors of road traffic accidents such as enforcement and government policies but rely on a direct cause-effect chain to analyse an accident causation process. By contrast, more contemporary approaches of investigating accidents are based on systemic accident models that can be used to analyse the interactions between various components of a sociotechnical system. Different systemic accident models, however, can lead to different analyses and subsequently different conclusions. As such, this study sought to compare three different systemic accident models, namely, the Driving Reliability and Error Analysis Method (DREAM), System-Theoretic Accident Model and Process (STAMP), and AcciMap in analysing the accident causation process of the 2013 Genting Highlands Bus Crash, which was the deadliest road traffic accident in Malaysia. Using DREAM, this study found that most of the contributing factors originated from maintenance errors and road design issues. On the other hand, STAMP identified inadequate controls and flaws within the road transportation system as contributing factors while AcciMap indicated various direct and indirect factors across different levels within the system. Findings of this study suggest that DREAM can present the accident factors in a succinct graphical representation by using a classification system thus making it easy to carry out and simple to understand. In addition, although both AcciMap and STAMP analyse road traffic accident across different system levels, STAMP is more comprehensive and flexible. However, because STAMP is time consuming and complex, it is more suitable for analyzing major road traffic accidents.en_US
dc.description.callnumbert RA 772 T7 M9522C 2018en_US
dc.description.degreelevelMasteren_US
dc.description.identifierThesis : A comparative accident analysis model on 2013 Genting Highlands Bus Crash at Genting Highland - Kuala Lumpur road using selected systemic accident models /by Muhammad Syaqif bin Syed Jamaludinen_US
dc.description.identityt11100401551MuhdShaqifSyedJamaludinen_US
dc.description.kulliyahKulliyyah of Allied Health Sciencesen_US
dc.description.notesThesis (MHSC)--International Islamic University Malaysia, 2018.en_US
dc.description.physicaldescriptionxvi, 237 leaves :colour illustrations ;30cm.en_US
dc.description.programmeMaster of Health Sciencesen_US
dc.identifier.urihttps://studentrepo.iium.edu.my/handle/123456789/9124
dc.identifier.urlhttps://lib.iium.edu.my/mom/services/mom/document/getFile/K5kKAkpU1aufu1Txe72GVTjrl82t7G5020190508112823729
dc.language.isoenen_US
dc.publisherKuantan, Pahang : Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, 2018
dc.rightsCopyright International Islamic University Malaysia
dc.subject.lcshTraffic accidents -- Malaysiaen_US
dc.subject.lcshRoads -- Malaysia -- Safety measuresen_US
dc.subject.lcshBus accident -- Malaysiaen_US
dc.titleA comparative accident analysis model on 2013 Genting Highlands bus crash at Genting Highland - Kuala Lumpur road using selected systemic accident models
dc.typeMaster Thesisen_US
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#

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