Key research themes
1. How can multi-level and hierarchical frameworks improve the prevention and control of domino effects in industrial safety management?
This theme explores quantitative and systematic approaches to assessing and mitigating domino effects in chemical and process industries. Domino effects occur when an initial accident triggers secondary accidents, leading to amplified consequences. Research focuses on equipment vulnerability assessments and structured multi-layered frameworks that integrate prevention, safety distances, vulnerability evaluations, protective barriers, and full quantitative risk assessments. These frameworks aim to provide actionable strategies for risk reduction beyond traditional methods, addressing complexities of escalation and spatial interactions.
2. What methodological innovations support comprehensive aggregation and prioritization of risks for effective mitigation decision-making?
Risk mitigation decisions rely heavily on accurately aggregating complex, multi-dimensional risk data across organizational levels and system components. Research in this area investigates advanced aggregation methods and prioritization models that accommodate multiple risk components and hierarchy levels, aiming to support nuanced and flexible decision-making. This includes adaptation of multi-criteria decision analysis methods, hierarchical risk component frameworks, and environment-specific prioritization models particularly relevant for vulnerability assessments in cybersecurity and industrial systems.
3. How can integrated frameworks advance the assessment and mitigation of complex hazard cascades and systemic risk in multi-hazard and disaster management contexts?
This research theme examines frameworks that combine multi-hazard susceptibility assessment, systemic risk-layering concepts, resilience engineering, and disaster management cycle phases to improve mitigation strategies against cascading and interrelated hazards. Emphasis is placed on understanding how simultaneous, sequential, or interacting hazards such as natural disasters, technological accidents, and socio-economic risks generate complex risk landscapes. Studies propose methodologies integrating risk-layering for indirect effects, resilience metrics, multi-hazard susceptibility mapping, and supply chain risk management to enhance overall disaster risk mitigation efficacy.









