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Testing Implicit Safety Science Assumptions in Maritime Waterway Risk Control Options: An Empirical Analysis of PAWSA Reports

dc.contributor.authorAdeli, Mehdi
dc.contributor.copyright-releaseNot Applicable
dc.contributor.degreeMaster of Science
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.ethics-approvalNot Applicable
dc.contributor.external-examinern/a
dc.contributor.manuscriptsNot Applicable
dc.contributor.thesis-readerDr. Jakub Montewka
dc.contributor.thesis-readerDr. Ron Pelot
dc.contributor.thesis-supervisorDr. Floris Goerlandt
dc.date.accessioned2026-05-04T11:18:16Z
dc.date.available2026-05-04T11:18:16Z
dc.date.defence2026-04-16
dc.date.issued2026-04-29
dc.descriptionThis thesis presents a systematic empirical analysis of Risk Control Options (RCOs) identified through the Ports and Waterways Safety Assessment (PAWSA) framework. Based on a dataset of 50 RCOs extracted from 21 PAWSA reports (2016–2023), the study examines their perceived Risk Reduction Effectiveness (RRE) and associated Strength of Evidence (SoE). The research further investigates how these expert-based judgments relate to key concepts in safety science, including actor responsibility, hierarchy of controls, and risk management phases. All required revisions following the thesis defense have been completed and approved by the supervisor. This version represents the final approved thesis submitted to the Faculty of Graduate Studies for archival in DalSpace.
dc.description.abstractMaritime waterway safety remains a critical concern due to the severe human, environmental, and economic consequences of shipping accidents. The Ports and Waterways Safety Assessment (PAWSA) method relies on expert judgment to propose and evaluate Risk Control Options (RCOs), including their perceived Risk Reduction Effectiveness (RRE). This thesis analyzes an empirical dataset of 50 unique RCOs extracted from 21 PAWSA reports (2016–2023) using content analysis and a tailored Strength-of-Evidence (SoE) framework. Results show substantial variation in RRE and SoE, with many RCOs lacking strong empirical support and only a small subset demonstrating both high effectiveness and strong evidence. Further analyses examine RCOs across actor groups, hierarchy of controls, and risk management phases. Findings indicate that expert judgments only partially align with common safety science assumptions. This study contributes to understanding how expert judgment reflects underlying safety concepts and supports more evidence-informed decision-making in maritime risk management.
dc.identifier.urihttps://hdl.handle.net/10222/86061
dc.language.isoen
dc.subjectMaritime Safety
dc.subjectPAWSA
dc.subjectRisk Control Options
dc.subjectRisk Reduction Effectiveness
dc.subjectStrength of Evidence
dc.subjectExpert Judgment
dc.subjectSafety Science
dc.subjectHierarchy of Controls
dc.subjectRisk Management
dc.titleTesting Implicit Safety Science Assumptions in Maritime Waterway Risk Control Options: An Empirical Analysis of PAWSA Reports

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