Accident Analysis & Prevention

Accident Analysis & Prevention
Title	Accident Analysis & Prevention
Discipline	Safety Science
Established	1969
Publisher	Elsevier
Country	Netherlands

Accident Analysis & Prevention

Accident Analysis & Prevention examines causes, patterns, and mitigations of unintended harmful events through multidisciplinary inquiry linking engineering, psychology, public policy, and epidemiology. Researchers draw on methods from systems theory, human factors, reliability engineering, and statistical inference to inform interventions adopted by agencies, firms, and international bodies. The field intersects with regulatory frameworks, standards organizations, and major incidents that have driven methodological advances.

Overview and Definitions

The field defines an accident in relation to historical events such as the Chernobyl disaster, Titanic (1912) inquiries, and the Deepwater Horizon oil spill investigations, and situates prevention efforts alongside institutions like the World Health Organization, International Civil Aviation Organization, and European Commission. Foundational definitions and taxonomies were influenced by work at Harvard University, Massachusetts Institute of Technology, and Johns Hopkins University, and were operationalized within standards from International Organization for Standardization and American National Standards Institute. Key terminology—incident, near miss, root cause, latent condition—appears in reports by National Transportation Safety Board, Federal Aviation Administration, and Health and Safety Executive.

Theoretical Frameworks and Models

Prominent frameworks include Reason’s Swiss cheese model developed in association with University of Manchester studies, Heinrich’s triangle referenced in historical Bureau of Labor Statistics analyses, and systems approaches inspired by Perrow, Charles and Normal Accident Theory debates at universities such as Yale University and Stanford University. Socio-technical models draw on work from Norbert Wiener cybernetics and James Reason human error theory; resilience engineering arises from Erik Hollnagel and David Woods collaborations linked to Carnegie Mellon University research. Accident causation models interact with probabilistic risk assessment methods used in analyses by Nuclear Regulatory Commission, International Atomic Energy Agency, and Electric Power Research Institute.

Data Collection and Investigation Methods

Investigation methods combine fieldwork deployed by agencies like the National Transportation Safety Board, Occupational Safety and Health Administration, and Transport Canada with laboratory experiments at institutions such as MIT Media Lab and University of Cambridge. Data sources include incident databases maintained by European Aviation Safety Agency, World Health Organization, and Food and Agriculture Organization, as well as corporate reporting to International Air Transport Association and International Maritime Organization. Analytical techniques integrate sequence of events mapping used in Air France Flight 447 inquiries, fault tree analysis from Bell Labs engineering, event tree analysis applied in Three Mile Island studies, and epidemiological methods from Centers for Disease Control and Prevention.

Risk Assessment and Causation Analysis

Risk assessment tools range from qualitative methods promulgated by British Standards Institution to quantitative approaches used by Sandia National Laboratories and Lawrence Livermore National Laboratory. Causation analysis leverages statistical inference traditions originating with Ronald Fisher and Jerzy Neyman and applies Bayesian networks informed by casework from Pan Am Flight 103 and Lockerbie bombing investigations. Human reliability analysis developed in collaboration with NASA, European Space Agency, and Roscosmos complements organizational studies referencing Ulrich Beck and Anthony Giddens in sociological analyses of risk.

Prevention Strategies and Interventions

Prevention strategies are implemented through regulations from European Commission directives, enforcement by Occupational Safety and Health Administration, and standards from International Organization for Standardization and American National Standards Institute. Engineering controls derive from designs evaluated in Wright-Patterson Air Force Base laboratories and Bell Labs safety programs; behavioral interventions trace to trials at Stanford University and University of California, Berkeley; and socio-technical redesigns follow examples from Toyota production system safety initiatives and Shell safety leadership reforms. Public health interventions reference campaigns led by Centers for Disease Control and Prevention and World Health Organization.

Applications by Sector

Aviation applications involve stakeholders such as Federal Aviation Administration, Boeing, Airbus, and incidents like Air France Flight 447 and Malaysia Airlines Flight 370. Maritime work links to International Maritime Organization, Maersk Line, and accidents such as the MV Prestige oil spill. Transportation safety includes road safety programs from National Highway Traffic Safety Administration and vehicle design by Volvo Cars and Tesla, Inc.; rail safety references Network Rail and incidents such as the Paddington rail crash. Industrial process safety intersects with Nuclear Regulatory Commission, Chevron Corporation, ExxonMobil, and events like the Bhopal disaster. Healthcare safety draws on practices from Johns Hopkins Hospital, Mayo Clinic, and studies published by The Lancet and New England Journal of Medicine.

Challenges, Ethics, and Future Directions

Challenges include data sharing tensions involving European Union regulations, liability concerns litigated in courts like the Supreme Court of the United States, and ethical dilemmas highlighted by inquiries into Fukushima Daiichi nuclear disaster responses. Emerging directions connect machine learning research from Google DeepMind, OpenAI, and IBM Research with explainable AI requirements discussed at Association for Computing Machinery conferences and standards bodies like Institute of Electrical and Electronics Engineers. Climate change implications linked to Intergovernmental Panel on Climate Change reports, supply chain risks examined by World Trade Organization, and resilience planning promoted by United Nations Office for Disaster Risk Reduction shape the trajectory of prevention science.

Category:Safety engineering