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class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Eslam A Youssef" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/168399314/48524765/111416049/s200_eslam.youssef.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Eslam A Youssef</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://aastmt.academia.edu/">Arab Academy for Science, Technology, and Maritime Transport</a>, <a class="u-tcGrayDarker" href="https://aastmt.academia.edu/Departments/_Maritime_Postgraduate_Studies_Institute/Documents">‏‎Maritime Postgraduate Studies Institute</a>, <span class="u-tcGrayDarker">Post-Doc</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden 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role="tab" title="Drafts"><span>1</span> <span class="ds2-5-body-sm-bold">Drafts</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Eslam A Youssef</h3></div><div class="js-work-strip profile--work_container" data-work-id="112452138"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/112452138/Maritime_accident_analysis_using_modified_HFACS_MA"><img alt="Research paper thumbnail of Maritime accident analysis using modified HFACS-MA" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/112452138/Maritime_accident_analysis_using_modified_HFACS_MA">Maritime accident analysis using modified HFACS-MA</a></div><div class="wp-workCard_item"><span>Maritime Research and Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Ide...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="112452138"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112452138"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112452138; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112452138]").text(description); $(".js-view-count[data-work-id=112452138]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112452138; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112452138']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 112452138, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=112452138]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112452138,"title":"Maritime accident analysis using modified HFACS-MA","translated_title":"","metadata":{"abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","publisher":"Arab Academy for Science, Technology, and Maritime Transport (AASTMT)","publication_name":"Maritime Research and Technology"},"translated_abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","internal_url":"https://www.academia.edu/112452138/Maritime_accident_analysis_using_modified_HFACS_MA","translated_internal_url":"","created_at":"2023-12-27T20:24:48.455-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Maritime_accident_analysis_using_modified_HFACS_MA","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":168399314,"first_name":"Eslam","middle_initials":"A","last_name":"Youssef","page_name":"EslamYoussef","domain_name":"aastmt","created_at":"2020-08-31T07:51:19.941-07:00","display_name":"Eslam A Youssef","url":"https://aastmt.academia.edu/EslamYoussef"},"attachments":[],"research_interests":[{"id":15532,"name":"Marine Engineering","url":"https://www.academia.edu/Documents/in/Marine_Engineering"},{"id":16441,"name":"Marine Science","url":"https://www.academia.edu/Documents/in/Marine_Science"},{"id":48532,"name":"Maritime Security","url":"https://www.academia.edu/Documents/in/Maritime_Security"},{"id":60807,"name":"Maritime","url":"https://www.academia.edu/Documents/in/Maritime"},{"id":75267,"name":"Maritime Training and Education","url":"https://www.academia.edu/Documents/in/Maritime_Training_and_Education"},{"id":410576,"name":"Maritime Technology","url":"https://www.academia.edu/Documents/in/Maritime_Technology"},{"id":1417771,"name":"Marine Engineering Ces 5.0","url":"https://www.academia.edu/Documents/in/Marine_Engineering_Ces_5.0"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107224239"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/107224239/Maritime_Accident_Analysis_Using_Modified_HFACS_MA"><img alt="Research paper thumbnail of Maritime Accident Analysis Using Modified HFACS-MA" class="work-thumbnail" src="https://attachments.academia-assets.com/105954417/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107224239/Maritime_Accident_Analysis_Using_Modified_HFACS_MA">Maritime Accident Analysis Using Modified HFACS-MA</a></div><div class="wp-workCard_item"><span>Maritime Research and Technology</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Ide...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="94bc85aee9df5e653d5126e84c79576e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105954417,"asset_id":107224239,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105954417/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107224239"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="107224239"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107224239; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107224239]").text(description); $(".js-view-count[data-work-id=107224239]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107224239; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107224239']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 107224239, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "94bc85aee9df5e653d5126e84c79576e" } } $('.js-work-strip[data-work-id=107224239]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107224239,"title":"Maritime Accident Analysis Using Modified HFACS-MA","translated_title":"","metadata":{"doi":"10.21622/MRT.2023.02.2.133","abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","publication_date":{"day":null,"month":null,"year":2023,"errors":{}},"publication_name":"Maritime Research and Technology"},"translated_abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","internal_url":"https://www.academia.edu/107224239/Maritime_Accident_Analysis_Using_Modified_HFACS_MA","translated_internal_url":"","created_at":"2023-09-25T22:54:06.781-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":40363747,"work_id":107224239,"tagging_user_id":168399314,"tagged_user_id":null,"co_author_invite_id":7921469,"email":"s***t@aast.edu","display_order":2,"name":"Sameh F. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="103800838"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/103800838/Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model"><img alt="Research paper thumbnail of Maritime accidents analysis using maritime human factors and analysis model" class="work-thumbnail" src="https://attachments.academia-assets.com/105956414/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/103800838/Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model">Maritime accidents analysis using maritime human factors and analysis model</a></div><div class="wp-workCard_item"><span>Maritime Research and Technology</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose: The majority of global trade is still carried out by the commercial shipping sector alt...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose: The majority of global trade is still carried out by the commercial shipping <br />sector although it lags behind other transport sectors in terms of safety and accident <br />reduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques. <br />Design/Methodology/Approach: In particular, this paper thoroughly examines the <br />Human Factors Analysis and Classification System (HFACS) as a qualitative analytic <br />model to assess active and latent failures reported in maritime accident reports. A <br />collision accident is taken as a case study, a step-by-step analysis is undertaken, and <br />human error causal factors are singled out. <br />Findings: The HFACS-MA approach was assessed for its potential as a way of analyzing <br />maritime accidents in the current research, and it was determined to be quite suitable.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cd4b43f9f33fa10f771dbb23f6a884af" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105956414,"asset_id":103800838,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105956414/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="103800838"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="103800838"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103800838; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103800838]").text(description); $(".js-view-count[data-work-id=103800838]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103800838; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103800838']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 103800838, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "cd4b43f9f33fa10f771dbb23f6a884af" } } $('.js-work-strip[data-work-id=103800838]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103800838,"title":"Maritime accidents analysis using maritime human factors and analysis model","translated_title":"","metadata":{"doi":"10.21622/MRT.2023.02.1.044","issue":"1","volume":"2","abstract":"Purpose: The majority of global trade is still carried out by the commercial shipping\r\nsector although it lags behind other transport sectors in terms of safety and accident\r\nreduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques.\r\nDesign/Methodology/Approach: In particular, this paper thoroughly examines the\r\nHuman Factors Analysis and Classification System (HFACS) as a qualitative analytic\r\nmodel to assess active and latent failures reported in maritime accident reports. A\r\ncollision accident is taken as a case study, a step-by-step analysis is undertaken, and\r\nhuman error causal factors are singled out.\r\nFindings: The HFACS-MA approach was assessed for its potential as a way of analyzing\r\nmaritime accidents in the current research, and it was determined to be quite suitable.","more_info":"ISSN 2812-5622","publisher":"Arab Academy for Science, Technology, and Maritime Transport (AASTMT)","page_numbers":"17","publication_date":{"day":null,"month":null,"year":2023,"errors":{}},"publication_name":"Maritime Research and Technology"},"translated_abstract":"Purpose: The majority of global trade is still carried out by the commercial shipping\r\nsector although it lags behind other transport sectors in terms of safety and accident\r\nreduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques.\r\nDesign/Methodology/Approach: In particular, this paper thoroughly examines the\r\nHuman Factors Analysis and Classification System (HFACS) as a qualitative analytic\r\nmodel to assess active and latent failures reported in maritime accident reports. A\r\ncollision accident is taken as a case study, a step-by-step analysis is undertaken, and\r\nhuman error causal factors are singled out.\r\nFindings: The HFACS-MA approach was assessed for its potential as a way of analyzing\r\nmaritime accidents in the current research, and it was determined to be quite suitable.","internal_url":"https://www.academia.edu/103800838/Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model","translated_internal_url":"","created_at":"2023-06-24T04:58:05.976-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105956414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105956414/thumbnails/1.jpg","file_name":"Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model.pdf","download_url":"https://www.academia.edu/attachments/105956414/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Maritime_accidents_analysis_using_mariti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105956414/Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model-libre.pdf?1695710456=\u0026response-content-disposition=attachment%3B+filename%3DMaritime_accidents_analysis_using_mariti.pdf\u0026Expires=1732456781\u0026Signature=bjjfPHl5lPUO-57J8dDKrcMwStVrmxZza6tFlLJAYKMRP-UXzksuTmTQWzxjYqAONYprlWW-okoUn2Afw4kofsvqysLQLQPA~OSBOdYAC42HaXLaQ3E9ldy01beGejHlTt7mdyc-0HMs2J62H6MIzbEgFBwrMWtwVgCWYiePd7G9DQ3l~V8Ot9kw6eqShf4SN2t8SaT5BrKJ24-FCPsgj1~hvz7NeDUv73x5o2aT8c03pt6QNQ0TY-hwsSptgExW44piH1xNVPYOUZo4KXInDDpz4hc4StQHgZUppm8H1ZQe6s5z2-AYk19y-d8cwKBQTTIeUwfO78EbV9PrDb6F2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":168399314,"first_name":"Eslam","middle_initials":"A","last_name":"Youssef","page_name":"EslamYoussef","domain_name":"aastmt","created_at":"2020-08-31T07:51:19.941-07:00","display_name":"Eslam A Youssef","url":"https://aastmt.academia.edu/EslamYoussef"},"attachments":[{"id":105956414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105956414/thumbnails/1.jpg","file_name":"Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model.pdf","download_url":"https://www.academia.edu/attachments/105956414/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Maritime_accidents_analysis_using_mariti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105956414/Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model-libre.pdf?1695710456=\u0026response-content-disposition=attachment%3B+filename%3DMaritime_accidents_analysis_using_mariti.pdf\u0026Expires=1732456781\u0026Signature=bjjfPHl5lPUO-57J8dDKrcMwStVrmxZza6tFlLJAYKMRP-UXzksuTmTQWzxjYqAONYprlWW-okoUn2Afw4kofsvqysLQLQPA~OSBOdYAC42HaXLaQ3E9ldy01beGejHlTt7mdyc-0HMs2J62H6MIzbEgFBwrMWtwVgCWYiePd7G9DQ3l~V8Ot9kw6eqShf4SN2t8SaT5BrKJ24-FCPsgj1~hvz7NeDUv73x5o2aT8c03pt6QNQ0TY-hwsSptgExW44piH1xNVPYOUZo4KXInDDpz4hc4StQHgZUppm8H1ZQe6s5z2-AYk19y-d8cwKBQTTIeUwfO78EbV9PrDb6F2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":123413,"name":"Maritime Safety","url":"https://www.academia.edu/Documents/in/Maritime_Safety"},{"id":180007,"name":"Maritime Industry","url":"https://www.academia.edu/Documents/in/Maritime_Industry"},{"id":192205,"name":"HUMAN ERROR","url":"https://www.academia.edu/Documents/in/HUMAN_ERROR"},{"id":410576,"name":"Maritime Technology","url":"https://www.academia.edu/Documents/in/Maritime_Technology"},{"id":1194181,"name":"Marine Safety","url":"https://www.academia.edu/Documents/in/Marine_Safety"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="101751052"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/101751052/Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and_Said_Abdelkader_3"><img alt="Research paper thumbnail of Eslam A. 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Youssef (1) , Sameh F. El-Sayed (2) and Said Abdelkader (3","translated_title":"","metadata":{"grobid_abstract":"Purpose: The majority of global trade is still carried out by the commercial shipping sector although it lags behind other transport sectors in terms of safety and accident reduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine the human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques. Design/Methodolgy/Approach: In particular, this paper thoroughly examines the Human Factors Analysis and Classification System (HFACS) as a qualitative analytic model to assess active and latent failures reported in maritime accident reports. A collision accident is taken as a case study, a step-by-step analysis is undertaken, and human error causal factors are singled out. Findings: The HFACS-MA approach was assessed for its potential as a way of analyzing maritime accidents in the current research, and it was determined to be quite suitable.","grobid_abstract_attachment_id":102204570},"translated_abstract":null,"internal_url":"https://www.academia.edu/101751052/Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and_Said_Abdelkader_3","translated_internal_url":"","created_at":"2023-05-14T05:04:55.857-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":102204570,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/102204570/thumbnails/1.jpg","file_name":"554_2636_1_PB.pdf","download_url":"https://www.academia.edu/attachments/102204570/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/102204570/554_2636_1_PB-libre.pdf?1684066362=\u0026response-content-disposition=attachment%3B+filename%3DEslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf\u0026Expires=1732456781\u0026Signature=Rpo8RtUhNGcDo6qpgvoGAfAliWmXiBFgFb0Cxs9AprgP8zX5uRmND9ZAuyb~oMGfIFS7vV1ITDgmghch3rvKpdVuVtO8Q47JFUsBQ9WIB5KtlH7hrdTyjk0Q8T8YfKQCvwiddgd5N91p3JQoiw0DtsRLF3CJA9qaXurHb3jb77sxSPBek6FQIgSRCp5dL1KO049oscPmMkASrEWjJr5Aa0vvwbuLimOTT6lX5xGzdVY79emnfz3QyjJ6qcsVE-pek08BXX5Gy6DhAOcQCXhvAKWJpCNsee3-phio2jimwAZsEasxlkDWw0uTHtnh7Wa8~uxpuhU5Vmb5kI-b~Otc7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and_Said_Abdelkader_3","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":168399314,"first_name":"Eslam","middle_initials":"A","last_name":"Youssef","page_name":"EslamYoussef","domain_name":"aastmt","created_at":"2020-08-31T07:51:19.941-07:00","display_name":"Eslam A Youssef","url":"https://aastmt.academia.edu/EslamYoussef"},"attachments":[{"id":102204570,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/102204570/thumbnails/1.jpg","file_name":"554_2636_1_PB.pdf","download_url":"https://www.academia.edu/attachments/102204570/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/102204570/554_2636_1_PB-libre.pdf?1684066362=\u0026response-content-disposition=attachment%3B+filename%3DEslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf\u0026Expires=1732456781\u0026Signature=Rpo8RtUhNGcDo6qpgvoGAfAliWmXiBFgFb0Cxs9AprgP8zX5uRmND9ZAuyb~oMGfIFS7vV1ITDgmghch3rvKpdVuVtO8Q47JFUsBQ9WIB5KtlH7hrdTyjk0Q8T8YfKQCvwiddgd5N91p3JQoiw0DtsRLF3CJA9qaXurHb3jb77sxSPBek6FQIgSRCp5dL1KO049oscPmMkASrEWjJr5Aa0vvwbuLimOTT6lX5xGzdVY79emnfz3QyjJ6qcsVE-pek08BXX5Gy6DhAOcQCXhvAKWJpCNsee3-phio2jimwAZsEasxlkDWw0uTHtnh7Wa8~uxpuhU5Vmb5kI-b~Otc7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="profile--tab_heading_container js-section-heading" data-section="Drafts" id="Drafts"><h3 class="profile--tab_heading_container">Drafts by Eslam A Youssef</h3></div><div class="js-work-strip profile--work_container" data-work-id="110169913"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/110169913/A_modified_Maritime_Human_Factors_Analysis_and_Classification_System_for_towing_vessel_accident_analysis"><img alt="Research paper thumbnail of A modified Maritime Human Factors Analysis and Classification System for towing vessel accident analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/108077392/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110169913/A_modified_Maritime_Human_Factors_Analysis_and_Classification_System_for_towing_vessel_accident_analysis">A modified Maritime Human Factors Analysis and Classification System for towing vessel accident analysis</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://aastmt.academia.edu/EslamYoussef">Eslam A Youssef</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SaidAbdelkader2">Said Abdelkader</a></span></div><div class="wp-workCard_item"><span>Ships and offShore Structure - Ocean Engineering - Academia - Research Gate</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Human Factors Analysis and Classification System (HFACS) is a qualitative analytic model capa...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Human Factors Analysis and Classification System (HFACS) is a qualitative analytic model capable of examining both active and latent failures revealed in maritime accident reports and databases. In this paper, a comparative study was done among three versions of the HFACS-MA model, then benchmarking was made with a US DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Based on the comparison, the HFACS-MA version by Kim et al. (2011) was chosen and further modified by adding one extra code, code (i.9), to account for "Equipment design and specification". The modified version was then applied using secondary data extracted from NTSB. Out of (69) maritime accident cases that occurred from January 1, 2019, to December 31, 2020, in the US Gulf Coast, (21) of these accidents involved towing vessels, which were targeted in this study. The results show that the accident-causing factors vary from one type of accident to another; in general, the dominant latent failure factors include strong current; an estimate of the situation's inability; erroneous assumption, prediction, prejudice, inappropriate procedure, regulations, instructions; and maintenance checkups , among others, whereas the dominant active failure factor was routine violations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7981fb11db698ea534c6e2936d8f627c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108077392,"asset_id":110169913,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108077392/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110169913"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110169913"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110169913; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110169913]").text(description); $(".js-view-count[data-work-id=110169913]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110169913; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110169913']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110169913, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7981fb11db698ea534c6e2936d8f627c" } } $('.js-work-strip[data-work-id=110169913]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110169913,"title":"A modified Maritime Human Factors Analysis and Classification System for towing vessel accident analysis","translated_title":"","metadata":{"abstract":"The Human Factors Analysis and Classification System (HFACS) is a qualitative analytic model capable of examining both active and latent failures revealed in maritime accident reports and databases. In this paper, a comparative study was done among three versions of the HFACS-MA model, then benchmarking was made with a US DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Based on the comparison, the HFACS-MA version by Kim et al. (2011) was chosen and further modified by adding one extra code, code (i.9), to account for \"Equipment design and specification\". The modified version was then applied using secondary data extracted from NTSB. Out of (69) maritime accident cases that occurred from January 1, 2019, to December 31, 2020, in the US Gulf Coast, (21) of these accidents involved towing vessels, which were targeted in this study. 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The results show that the accident-causing factors vary from one type of accident to another; in general, the dominant latent failure factors include strong current; an estimate of the situation's inability; erroneous assumption, prediction, prejudice, inappropriate procedure, regulations, instructions; and maintenance checkups , among others, whereas the dominant active failure factor was routine violations.","internal_url":"https://www.academia.edu/110169913/A_modified_Maritime_Human_Factors_Analysis_and_Classification_System_for_towing_vessel_accident_analysis","translated_internal_url":"","created_at":"2023-11-29T21:22:07.002-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"draft","co_author_tags":[{"id":40614000,"work_id":110169913,"tagging_user_id":168399314,"tagged_user_id":null,"co_author_invite_id":7921469,"email":"s***t@aast.edu","display_order":1,"name":"Sameh F. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="10619537" id="papers"><div class="js-work-strip profile--work_container" data-work-id="112452138"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/112452138/Maritime_accident_analysis_using_modified_HFACS_MA"><img alt="Research paper thumbnail of Maritime accident analysis using modified HFACS-MA" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/112452138/Maritime_accident_analysis_using_modified_HFACS_MA">Maritime accident analysis using modified HFACS-MA</a></div><div class="wp-workCard_item"><span>Maritime Research and Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Ide...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="112452138"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112452138"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112452138; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112452138]").text(description); $(".js-view-count[data-work-id=112452138]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112452138; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112452138']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 112452138, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=112452138]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112452138,"title":"Maritime accident analysis using modified HFACS-MA","translated_title":"","metadata":{"abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","publisher":"Arab Academy for Science, Technology, and Maritime Transport (AASTMT)","publication_name":"Maritime Research and Technology"},"translated_abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","internal_url":"https://www.academia.edu/112452138/Maritime_accident_analysis_using_modified_HFACS_MA","translated_internal_url":"","created_at":"2023-12-27T20:24:48.455-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Maritime_accident_analysis_using_modified_HFACS_MA","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":168399314,"first_name":"Eslam","middle_initials":"A","last_name":"Youssef","page_name":"EslamYoussef","domain_name":"aastmt","created_at":"2020-08-31T07:51:19.941-07:00","display_name":"Eslam A Youssef","url":"https://aastmt.academia.edu/EslamYoussef"},"attachments":[],"research_interests":[{"id":15532,"name":"Marine Engineering","url":"https://www.academia.edu/Documents/in/Marine_Engineering"},{"id":16441,"name":"Marine Science","url":"https://www.academia.edu/Documents/in/Marine_Science"},{"id":48532,"name":"Maritime Security","url":"https://www.academia.edu/Documents/in/Maritime_Security"},{"id":60807,"name":"Maritime","url":"https://www.academia.edu/Documents/in/Maritime"},{"id":75267,"name":"Maritime Training and Education","url":"https://www.academia.edu/Documents/in/Maritime_Training_and_Education"},{"id":410576,"name":"Maritime Technology","url":"https://www.academia.edu/Documents/in/Maritime_Technology"},{"id":1417771,"name":"Marine Engineering Ces 5.0","url":"https://www.academia.edu/Documents/in/Marine_Engineering_Ces_5.0"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107224239"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/107224239/Maritime_Accident_Analysis_Using_Modified_HFACS_MA"><img alt="Research paper thumbnail of Maritime Accident Analysis Using Modified HFACS-MA" class="work-thumbnail" src="https://attachments.academia-assets.com/105954417/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107224239/Maritime_Accident_Analysis_Using_Modified_HFACS_MA">Maritime Accident Analysis Using Modified HFACS-MA</a></div><div class="wp-workCard_item"><span>Maritime Research and Technology</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Ide...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="94bc85aee9df5e653d5126e84c79576e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105954417,"asset_id":107224239,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105954417/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107224239"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="107224239"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107224239; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107224239]").text(description); $(".js-view-count[data-work-id=107224239]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107224239; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107224239']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 107224239, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "94bc85aee9df5e653d5126e84c79576e" } } $('.js-work-strip[data-work-id=107224239]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107224239,"title":"Maritime Accident Analysis Using Modified HFACS-MA","translated_title":"","metadata":{"doi":"10.21622/MRT.2023.02.2.133","abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","publication_date":{"day":null,"month":null,"year":2023,"errors":{}},"publication_name":"Maritime Research and Technology"},"translated_abstract":"In a previous endeavor, the authors discussed Human Reliability Assessment (HRA), Human Error Identification (HEI), and accident analysis as the most well-known methods of accident investigation. A general overview of the various analytical models and methodologies was given, outlining the key concepts behind each category, and choosing the HFACS-MA spell out to serve as a starting point for any research in this field. This particular model is a qualitative analytic model that examines both active and latent failures revealed in maritime accident reports. Design/Methodology/Approach: In this paper, a comparative study is presented among three versions of the HFACS-MA model; a benchmarking was made with a US government DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Accordingly, the most suitable version was singled out. The modified Maritime Human Factors Analysis and Classification System (HFACS-MA) was carefully examined as a qualitative analytic model to evaluate active and latent failures stated in the contact accident report, identifying human error as the primary cause. This was done as an example of how the modified (HFACS-MA) may be applied to maritime accident analysis. Findings: The HFACS-MA version developed by Kim et al. (2011) and modified by Kang (2017b) was further modified in the current work by adding one extra code to it, that is Equipment Design and Specification code (i.9).","internal_url":"https://www.academia.edu/107224239/Maritime_Accident_Analysis_Using_Modified_HFACS_MA","translated_internal_url":"","created_at":"2023-09-25T22:54:06.781-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":40363747,"work_id":107224239,"tagging_user_id":168399314,"tagged_user_id":null,"co_author_invite_id":7921469,"email":"s***t@aast.edu","display_order":2,"name":"Sameh F. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="103800838"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/103800838/Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model"><img alt="Research paper thumbnail of Maritime accidents analysis using maritime human factors and analysis model" class="work-thumbnail" src="https://attachments.academia-assets.com/105956414/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/103800838/Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model">Maritime accidents analysis using maritime human factors and analysis model</a></div><div class="wp-workCard_item"><span>Maritime Research and Technology</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose: The majority of global trade is still carried out by the commercial shipping sector alt...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose: The majority of global trade is still carried out by the commercial shipping <br />sector although it lags behind other transport sectors in terms of safety and accident <br />reduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques. <br />Design/Methodology/Approach: In particular, this paper thoroughly examines the <br />Human Factors Analysis and Classification System (HFACS) as a qualitative analytic <br />model to assess active and latent failures reported in maritime accident reports. A <br />collision accident is taken as a case study, a step-by-step analysis is undertaken, and <br />human error causal factors are singled out. <br />Findings: The HFACS-MA approach was assessed for its potential as a way of analyzing <br />maritime accidents in the current research, and it was determined to be quite suitable.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cd4b43f9f33fa10f771dbb23f6a884af" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105956414,"asset_id":103800838,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105956414/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="103800838"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="103800838"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103800838; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103800838]").text(description); $(".js-view-count[data-work-id=103800838]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103800838; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103800838']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 103800838, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "cd4b43f9f33fa10f771dbb23f6a884af" } } $('.js-work-strip[data-work-id=103800838]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103800838,"title":"Maritime accidents analysis using maritime human factors and analysis model","translated_title":"","metadata":{"doi":"10.21622/MRT.2023.02.1.044","issue":"1","volume":"2","abstract":"Purpose: The majority of global trade is still carried out by the commercial shipping\r\nsector although it lags behind other transport sectors in terms of safety and accident\r\nreduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques.\r\nDesign/Methodology/Approach: In particular, this paper thoroughly examines the\r\nHuman Factors Analysis and Classification System (HFACS) as a qualitative analytic\r\nmodel to assess active and latent failures reported in maritime accident reports. A\r\ncollision accident is taken as a case study, a step-by-step analysis is undertaken, and\r\nhuman error causal factors are singled out.\r\nFindings: The HFACS-MA approach was assessed for its potential as a way of analyzing\r\nmaritime accidents in the current research, and it was determined to be quite suitable.","more_info":"ISSN 2812-5622","publisher":"Arab Academy for Science, Technology, and Maritime Transport (AASTMT)","page_numbers":"17","publication_date":{"day":null,"month":null,"year":2023,"errors":{}},"publication_name":"Maritime Research and Technology"},"translated_abstract":"Purpose: The majority of global trade is still carried out by the commercial shipping\r\nsector although it lags behind other transport sectors in terms of safety and accident\r\nreduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques.\r\nDesign/Methodology/Approach: In particular, this paper thoroughly examines the\r\nHuman Factors Analysis and Classification System (HFACS) as a qualitative analytic\r\nmodel to assess active and latent failures reported in maritime accident reports. A\r\ncollision accident is taken as a case study, a step-by-step analysis is undertaken, and\r\nhuman error causal factors are singled out.\r\nFindings: The HFACS-MA approach was assessed for its potential as a way of analyzing\r\nmaritime accidents in the current research, and it was determined to be quite suitable.","internal_url":"https://www.academia.edu/103800838/Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model","translated_internal_url":"","created_at":"2023-06-24T04:58:05.976-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105956414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105956414/thumbnails/1.jpg","file_name":"Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model.pdf","download_url":"https://www.academia.edu/attachments/105956414/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Maritime_accidents_analysis_using_mariti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105956414/Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model-libre.pdf?1695710456=\u0026response-content-disposition=attachment%3B+filename%3DMaritime_accidents_analysis_using_mariti.pdf\u0026Expires=1732456781\u0026Signature=bjjfPHl5lPUO-57J8dDKrcMwStVrmxZza6tFlLJAYKMRP-UXzksuTmTQWzxjYqAONYprlWW-okoUn2Afw4kofsvqysLQLQPA~OSBOdYAC42HaXLaQ3E9ldy01beGejHlTt7mdyc-0HMs2J62H6MIzbEgFBwrMWtwVgCWYiePd7G9DQ3l~V8Ot9kw6eqShf4SN2t8SaT5BrKJ24-FCPsgj1~hvz7NeDUv73x5o2aT8c03pt6QNQ0TY-hwsSptgExW44piH1xNVPYOUZo4KXInDDpz4hc4StQHgZUppm8H1ZQe6s5z2-AYk19y-d8cwKBQTTIeUwfO78EbV9PrDb6F2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Maritime_accidents_analysis_using_maritime_human_factors_and_analysis_model","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":168399314,"first_name":"Eslam","middle_initials":"A","last_name":"Youssef","page_name":"EslamYoussef","domain_name":"aastmt","created_at":"2020-08-31T07:51:19.941-07:00","display_name":"Eslam A Youssef","url":"https://aastmt.academia.edu/EslamYoussef"},"attachments":[{"id":105956414,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105956414/thumbnails/1.jpg","file_name":"Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model.pdf","download_url":"https://www.academia.edu/attachments/105956414/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Maritime_accidents_analysis_using_mariti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105956414/Maritime_Accidents_Analysis_Using_Maritime_Human_Factors_Analysis_and_Classification_System_Model-libre.pdf?1695710456=\u0026response-content-disposition=attachment%3B+filename%3DMaritime_accidents_analysis_using_mariti.pdf\u0026Expires=1732456781\u0026Signature=bjjfPHl5lPUO-57J8dDKrcMwStVrmxZza6tFlLJAYKMRP-UXzksuTmTQWzxjYqAONYprlWW-okoUn2Afw4kofsvqysLQLQPA~OSBOdYAC42HaXLaQ3E9ldy01beGejHlTt7mdyc-0HMs2J62H6MIzbEgFBwrMWtwVgCWYiePd7G9DQ3l~V8Ot9kw6eqShf4SN2t8SaT5BrKJ24-FCPsgj1~hvz7NeDUv73x5o2aT8c03pt6QNQ0TY-hwsSptgExW44piH1xNVPYOUZo4KXInDDpz4hc4StQHgZUppm8H1ZQe6s5z2-AYk19y-d8cwKBQTTIeUwfO78EbV9PrDb6F2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":123413,"name":"Maritime Safety","url":"https://www.academia.edu/Documents/in/Maritime_Safety"},{"id":180007,"name":"Maritime Industry","url":"https://www.academia.edu/Documents/in/Maritime_Industry"},{"id":192205,"name":"HUMAN ERROR","url":"https://www.academia.edu/Documents/in/HUMAN_ERROR"},{"id":410576,"name":"Maritime Technology","url":"https://www.academia.edu/Documents/in/Maritime_Technology"},{"id":1194181,"name":"Marine Safety","url":"https://www.academia.edu/Documents/in/Marine_Safety"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="101751052"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/101751052/Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and_Said_Abdelkader_3"><img alt="Research paper thumbnail of Eslam A. Youssef (1) , Sameh F. El-Sayed (2) and Said Abdelkader (3" class="work-thumbnail" src="https://attachments.academia-assets.com/102204570/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/101751052/Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and_Said_Abdelkader_3">Eslam A. Youssef (1) , Sameh F. 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Youssef (1) , Sameh F. El-Sayed (2) and Said Abdelkader (3","translated_title":"","metadata":{"grobid_abstract":"Purpose: The majority of global trade is still carried out by the commercial shipping sector although it lags behind other transport sectors in terms of safety and accident reduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine the human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques. Design/Methodolgy/Approach: In particular, this paper thoroughly examines the Human Factors Analysis and Classification System (HFACS) as a qualitative analytic model to assess active and latent failures reported in maritime accident reports. A collision accident is taken as a case study, a step-by-step analysis is undertaken, and human error causal factors are singled out. Findings: The HFACS-MA approach was assessed for its potential as a way of analyzing maritime accidents in the current research, and it was determined to be quite suitable.","grobid_abstract_attachment_id":102204570},"translated_abstract":null,"internal_url":"https://www.academia.edu/101751052/Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and_Said_Abdelkader_3","translated_internal_url":"","created_at":"2023-05-14T05:04:55.857-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":102204570,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/102204570/thumbnails/1.jpg","file_name":"554_2636_1_PB.pdf","download_url":"https://www.academia.edu/attachments/102204570/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/102204570/554_2636_1_PB-libre.pdf?1684066362=\u0026response-content-disposition=attachment%3B+filename%3DEslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf\u0026Expires=1732456781\u0026Signature=Rpo8RtUhNGcDo6qpgvoGAfAliWmXiBFgFb0Cxs9AprgP8zX5uRmND9ZAuyb~oMGfIFS7vV1ITDgmghch3rvKpdVuVtO8Q47JFUsBQ9WIB5KtlH7hrdTyjk0Q8T8YfKQCvwiddgd5N91p3JQoiw0DtsRLF3CJA9qaXurHb3jb77sxSPBek6FQIgSRCp5dL1KO049oscPmMkASrEWjJr5Aa0vvwbuLimOTT6lX5xGzdVY79emnfz3QyjJ6qcsVE-pek08BXX5Gy6DhAOcQCXhvAKWJpCNsee3-phio2jimwAZsEasxlkDWw0uTHtnh7Wa8~uxpuhU5Vmb5kI-b~Otc7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and_Said_Abdelkader_3","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":168399314,"first_name":"Eslam","middle_initials":"A","last_name":"Youssef","page_name":"EslamYoussef","domain_name":"aastmt","created_at":"2020-08-31T07:51:19.941-07:00","display_name":"Eslam A Youssef","url":"https://aastmt.academia.edu/EslamYoussef"},"attachments":[{"id":102204570,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/102204570/thumbnails/1.jpg","file_name":"554_2636_1_PB.pdf","download_url":"https://www.academia.edu/attachments/102204570/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Eslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/102204570/554_2636_1_PB-libre.pdf?1684066362=\u0026response-content-disposition=attachment%3B+filename%3DEslam_A_Youssef_1_Sameh_F_El_Sayed_2_and.pdf\u0026Expires=1732456781\u0026Signature=Rpo8RtUhNGcDo6qpgvoGAfAliWmXiBFgFb0Cxs9AprgP8zX5uRmND9ZAuyb~oMGfIFS7vV1ITDgmghch3rvKpdVuVtO8Q47JFUsBQ9WIB5KtlH7hrdTyjk0Q8T8YfKQCvwiddgd5N91p3JQoiw0DtsRLF3CJA9qaXurHb3jb77sxSPBek6FQIgSRCp5dL1KO049oscPmMkASrEWjJr5Aa0vvwbuLimOTT6lX5xGzdVY79emnfz3QyjJ6qcsVE-pek08BXX5Gy6DhAOcQCXhvAKWJpCNsee3-phio2jimwAZsEasxlkDWw0uTHtnh7Wa8~uxpuhU5Vmb5kI-b~Otc7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="18866784" id="drafts"><div class="js-work-strip profile--work_container" data-work-id="110169913"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/110169913/A_modified_Maritime_Human_Factors_Analysis_and_Classification_System_for_towing_vessel_accident_analysis"><img alt="Research paper thumbnail of A modified Maritime Human Factors Analysis and Classification System for towing vessel accident analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/108077392/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110169913/A_modified_Maritime_Human_Factors_Analysis_and_Classification_System_for_towing_vessel_accident_analysis">A modified Maritime Human Factors Analysis and Classification System for towing vessel accident analysis</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://aastmt.academia.edu/EslamYoussef">Eslam A Youssef</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SaidAbdelkader2">Said Abdelkader</a></span></div><div class="wp-workCard_item"><span>Ships and offShore Structure - Ocean Engineering - Academia - Research Gate</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Human Factors Analysis and Classification System (HFACS) is a qualitative analytic model capa...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Human Factors Analysis and Classification System (HFACS) is a qualitative analytic model capable of examining both active and latent failures revealed in maritime accident reports and databases. In this paper, a comparative study was done among three versions of the HFACS-MA model, then benchmarking was made with a US DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Based on the comparison, the HFACS-MA version by Kim et al. (2011) was chosen and further modified by adding one extra code, code (i.9), to account for "Equipment design and specification". The modified version was then applied using secondary data extracted from NTSB. Out of (69) maritime accident cases that occurred from January 1, 2019, to December 31, 2020, in the US Gulf Coast, (21) of these accidents involved towing vessels, which were targeted in this study. The results show that the accident-causing factors vary from one type of accident to another; in general, the dominant latent failure factors include strong current; an estimate of the situation's inability; erroneous assumption, prediction, prejudice, inappropriate procedure, regulations, instructions; and maintenance checkups , among others, whereas the dominant active failure factor was routine violations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7981fb11db698ea534c6e2936d8f627c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108077392,"asset_id":110169913,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108077392/download_file?st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MzE4MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110169913"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110169913"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110169913; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110169913]").text(description); $(".js-view-count[data-work-id=110169913]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110169913; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110169913']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110169913, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7981fb11db698ea534c6e2936d8f627c" } } $('.js-work-strip[data-work-id=110169913]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110169913,"title":"A modified Maritime Human Factors Analysis and Classification System for towing vessel accident analysis","translated_title":"","metadata":{"abstract":"The Human Factors Analysis and Classification System (HFACS) is a qualitative analytic model capable of examining both active and latent failures revealed in maritime accident reports and databases. In this paper, a comparative study was done among three versions of the HFACS-MA model, then benchmarking was made with a US DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Based on the comparison, the HFACS-MA version by Kim et al. (2011) was chosen and further modified by adding one extra code, code (i.9), to account for \"Equipment design and specification\". The modified version was then applied using secondary data extracted from NTSB. Out of (69) maritime accident cases that occurred from January 1, 2019, to December 31, 2020, in the US Gulf Coast, (21) of these accidents involved towing vessels, which were targeted in this study. The results show that the accident-causing factors vary from one type of accident to another; in general, the dominant latent failure factors include strong current; an estimate of the situation's inability; erroneous assumption, prediction, prejudice, inappropriate procedure, regulations, instructions; and maintenance checkups , among others, whereas the dominant active failure factor was routine violations.","publication_date":{"day":null,"month":null,"year":2023,"errors":{}},"publication_name":"Ships and offShore Structure - Ocean Engineering - Academia - Research Gate"},"translated_abstract":"The Human Factors Analysis and Classification System (HFACS) is a qualitative analytic model capable of examining both active and latent failures revealed in maritime accident reports and databases. In this paper, a comparative study was done among three versions of the HFACS-MA model, then benchmarking was made with a US DoD-HFACS version in order to compare the codes inside each version to ensure the integration of all safety standards. Based on the comparison, the HFACS-MA version by Kim et al. (2011) was chosen and further modified by adding one extra code, code (i.9), to account for \"Equipment design and specification\". The modified version was then applied using secondary data extracted from NTSB. Out of (69) maritime accident cases that occurred from January 1, 2019, to December 31, 2020, in the US Gulf Coast, (21) of these accidents involved towing vessels, which were targeted in this study. The results show that the accident-causing factors vary from one type of accident to another; in general, the dominant latent failure factors include strong current; an estimate of the situation's inability; erroneous assumption, prediction, prejudice, inappropriate procedure, regulations, instructions; and maintenance checkups , among others, whereas the dominant active failure factor was routine violations.","internal_url":"https://www.academia.edu/110169913/A_modified_Maritime_Human_Factors_Analysis_and_Classification_System_for_towing_vessel_accident_analysis","translated_internal_url":"","created_at":"2023-11-29T21:22:07.002-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":168399314,"coauthors_can_edit":true,"document_type":"draft","co_author_tags":[{"id":40614000,"work_id":110169913,"tagging_user_id":168399314,"tagged_user_id":null,"co_author_invite_id":7921469,"email":"s***t@aast.edu","display_order":1,"name":"Sameh F. 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