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Relevant bibliographies by topics / Accident prevention

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Academic literature on the topic 'Accident prevention'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Accident prevention"

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Zhong, Xing Run. "Construction Safety Accident Prevention Research Based on 3E Principle." Applied Mechanics and Materials 353-356 (August 2013): 2867–71. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.2867.

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Safety accidents occurred frequently in construction process. In order to prevent similar accidents from happening again, It is needed to conduct in-depth analysis of its reasons urgently. Accident prevention is a prior work, the relevance and effectiveness are also important. This paper analyzed the typical construction safety accidents in 2012 from the aspect of engineering, technology and education, combined the principle of accident prevention theory. This paper pointed out that to propose 3E construction safety accident prevention countermeasures from the accident prevention 3E principle can be effective in preventing the construction safety accidents.

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Rajkumaran, Samyuktha, Sangamithra V, and Sridevi Sridhar. "Vehicular Safety System using Deep Learning and Computer Vision." Journal of Trends in Computer Science and Smart Technology 5, no. 2 (June 2023): 104–18. http://dx.doi.org/10.36548/jtcsst.2023.2.001.

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While many technological solutions have been implemented for accident detection, not many have focused on accident prevention. Accidents have been an everlasting concern as they have caused heavy injuries and death tolls on a large scale. There has been an everlasting increase in the rate of accidents and violation of traffic laws and wrongdoers managing to escape from the legal ramifications of predominantly Hit-and-Run cases. This entails a system to alleviate the occurrence of accidents and deaths caused. Focusing on this, a viable solution that focuses on preventing such circumstances by detecting accident-causing behaviour has been proposed. If accidents take place, it ensures the victim gets their rightful compensation. The research encompasses two modules, Prevention and Recovery. The prevention module uses Deep Learning and Computer Vision to detect whether the driver is drowsy and issues an alert employing CNN. The recovery module focuses on detecting occurrences of accidents and acquiring information about the parties involved in the same. Moreover, the prototype detects drowsiness, and detects and saves the accident footage in real-time enabling information acquisition.

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Jadhav, Samruddhi Bhausaheb. "Accident Prevention for Vehicle Safety." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (June 22, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem36030.

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Speed is one of the primary wellsprings of vehicle disasters. Many lives could have been saved on the off chance that emergency organizations had gotten the setback information and contacted them on time. This venture manages a mishap recognition framework. In case of a mishap, it involves different parts to call heroes for help. Effective programmed mishap identification with programmed warning of salvage administrations with data about the area of the mishap is a central prerequisite to saving significant living souls. The proposed framework manages mishap cautioning and recognition. Peruse the specific scope and longitude of the mishap vehicle and send this data to the closest crisis administrations. The motivation behind this undertaking is to perceive mishaps and ready salvage administrations on time. As of late the vast majority of the mishap happen because of laziness of drivers in vehicles and trucks. Yearly 1200 passings and 76000 harmed. This methodology incorporates examination of police detailed accident information, top to bottom nearby examinations promptly following an accident of the general driving populace. The present examination was intended to give additional data to traffic wellbeing and others could use in their endeavors to decrease the quantity of sleepy related accidents. than anywhere else in the world, including the more populous China. Calling road fatalities an "epidemic" that will become the world's fifth biggest killer by 2030, the report said while rich nations had been able to lower their death rates, these were sharply on the rise in the third world. It said 90% of deaths on the world's roads occur in low and middle-income countries (21.5 and 19.5 per lakh of population, respectively) though they have just 48% of all registered vehicles. The statistics for India are chilling. At least 13 people die every hour in road accidents in the country, the latest report of the National Crime Records Bureau reveals. However, road safety experts say the real numbers could be higher since many of these accident cases are not even reported. "There is no estimate of how many injured in road accidents die a few hours or days after the accident," points out RohitBaluja, member of the UN Road Safety Collaboration and Commission of Global Road Safety representing Asia. Based on the records, India will become the world number 1 in Road Deaths due to the poor record of average 13 die every hour, which is 1.14 lakh per year. This will make India to be the first place. This causative information about the accidents is the intent to develop the proposed technology as scientific traffic engineering wings to reduce the fatalities due to accidents. This proposed methodology is the automatic system which will provide the solution for identifying the accident location. Nowadays accidents are increasing at an alarming rate. Speed is the cause of most number of traffic accidents. In this project, we first applied Eclat algorithm Keywords— Eclat algorithm, clustering, classification,GPS to group the crime locations into 0 level, 1 level, 2 level accident tracking, Accident.

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Alicioglu, Gulsum, Bo Sun, and Shen Shyang Ho. "An Injury-Severity-Prediction-Driven Accident Prevention System." Sustainability 14, no. 11 (May 27, 2022): 6569. http://dx.doi.org/10.3390/su14116569.

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Traffic accidents are inevitable events that occur unexpectedly and unintentionally. Therefore, analyzing traffic data is essential to prevent fatal accidents. Traffic data analysis provided insights into significant factors and driver behavioral patterns causing accidents. Combining these patterns and the prediction model into an accident prevention system can assist in reducing and preventing traffic accidents. This study applied various machine learning models, including neural network, ordinal regression, decision tree, support vector machines, and logistic regression to have a robust prediction model in injury severity. The trained model provides timely and accurate predictions on accident occurrence and injury severity using real-world traffic accident datasets. We proposed an informative negative data generator using feature weights derived from multinomial logit regression to balance the non-fatal accident data. Our aim is to resolve the bias that happens in the favor of the majority class as well as performance improvement. We evaluated the overall and class-level performance of the machine learning models based on accuracy and mean squared error scores. Three hidden layered neural networks outperformed the other models with 0.254 ± 0.038 and 0.173 ± 0.016 MSE scores for two different datasets. A neural network, which provides more accurate and reliable results, should be integrated into the accident prevention system.

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Raffle, P. A. B. "Accident Prevention." Journal of the Royal Society of Medicine 83, no. 11 (November 1990): 679–81. http://dx.doi.org/10.1177/014107689008301102.

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Maconochie, I. "Accident prevention." Archives of Disease in Childhood 88, no. 4 (April 1, 2003): 275–77. http://dx.doi.org/10.1136/adc.88.4.275.

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Pless, I. B. "Accident prevention." BMJ 303, no. 6800 (August 24, 1991): 462–64. http://dx.doi.org/10.1136/bmj.303.6800.462.

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Fu, Jing, and Zipeng Han. "AI-Based Safety Production Accident Prevention Mechanism in Smart Enterprises." International Journal of Distributed Systems and Technologies 13, no. 2 (April 2022): 1–10. http://dx.doi.org/10.4018/ijdst.291082.

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Enterprises have accumulated a large number of accident data resources for safety production, but the corresponding safety production information processing capacity is insufficient, resulting in the value of massive data not being effectively used, and further restricting the in-depth study of accidents. Enterprise safety managers cannot learn lessons from historical accidents in a timely manner and effectively prevent them, leading to repeated occurrences of similar accidents. Therefore, based on the above problems, this paper aims to construct a mining process for the cause of safety production accidents based on LDA topic model. According to the accident data structure, select a data mining method suitable for its structural characteristics to maximize the utilization of accident data. According to the sequence of initial identification of accident information, discovery of safety problems, and transformation of safety knowledge, the valuable information in historical accident data can be fully excavated, so as to provide effective suggestions for accident prevention.

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Fedorov, Alexander, and Gregory Yablonsky. "Critical Situations and Prevention of Accidents in Chemico-Technological Systems (Methodological Aspects)." Processes 12, no. 1 (January 9, 2024): 161. http://dx.doi.org/10.3390/pr12010161.

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The aim of this work is to study the causes of accidents in chemical processes, develop a methodology for accident prevention via control, and illustrat its realization by examples using a variety of strategies. The general concept of critical situations was introduced systematically covering both emergency and pre-emergency situations. In large-scale chemical plants, examples of accidents are presented. Accident causes as a result of disturbances and control faults in technological processes are analyzed. Approaches for preventing accidents are considered. The revealing of critical situations is presented as a problem of pattern recognition, and the subtasks of the recognition are analyzed. An emergency scale based on the assessment of various states of the chemico-technological process is introduced and applied for distinguishing the different levels of accident. The real obstacles in the prevention of accidents via control are shown and analyzed. Matrices of critical situations with corresponding characteristics are given. The main tasks for the prevention and elimination of critical situations are highlighted and characterized, and our methodology for the realization of these tasks is presented. Practical examples of the prevention of accidents in the industrial ammonia synthesis processes (including approaches and strategies) are demonstrated based on the real-time control of autothermal reactors.

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G, Sowmya. "VEHICAL ACCIDENT PREVENTION SYSTEM FOR MOUNTAIN ROADS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 26, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem34714.

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Vehicle accident prevention system can be a major step in accident safety on mountain roads. In past 100s of accident and death on mountain roads, some even fall from the cliff which are not traced after that have been noticed. Such accidents not only cause loss of human life but also major loss financially not just to the individual but also the government. Mountain roads are narrow and any such accidents can force it to be closed for hours which can be a huge issue. This project addresses the pressing issue of mountain road safety through the deployment of two strategically positioned ultrasonic sensors in U curves. The primary objective is to detect oncoming vehicles, precisely measure distances, and promptly activate warnings on the opposite side. By leveraging real-time data and proactive measures, the system aims to significantly reduce accidents in challenging terrains. The integration of red LED lights and a buzzer enhances visibility and auditory awareness. This innovative approach reflects a crucial step forward in accident prevention, particularly in mountainous regions, where traditional safety measures fall short.

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Dissertations / Theses on the topic "Accident prevention"

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Katalagarianakis, Georgios. "Risk assessment and accident prevention in mining." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299320.

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Leger, Pascal. "Elements pour une prevention individuelle et collective des accidents de ski alpin." Bordeaux 2, 1992. http://www.theses.fr/1992BOR2M094.

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Clay, Diane. "Driver attitude and attribution : implications for accident prevention." Thesis, Cranfield University, 1995. http://hdl.handle.net/1826/3239.

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This study involved self-completion questionnaire-based surveys in which a total of almost 1800 respondents took part. Attributional bias identified by previous research in relation to drivers' causal attributions for road accidents (Preston & Harris, 1965; Clay, 1987) was more fully explored with the aid of both objectively and subjectively culpable driver samples. Banks et al (1977) demonstrated the utility of distinguishing drivers according to culpability in relation to accident fatalaties. The current study examined the utility of distinguishing subjectively culpable, non-culpable, and non-accident driver groups in relation to road accidents with a variety of consequences, in relation to factors which may predispose drivers to accident involvement. This study involved a large sample of drivers who were representative of the general population of licenced drivers in Britain, and specifically focussed samples which allowed the influence of objective and subjective culpability to be ascertained, while a relatively small cross-cultural survey allowed a focus on young drivers (up to 25 years), involving Victorian (Australian) licenced drivers and a sub-sample of young British drivers drawn from the main British sample. The main objectives of the current study were to evaluate drivers' awareness of their potential for active accident avoidance, exploring attribution issues raised by previous research and examining factors which may contribute to road accidents in relation to self-reported accident involvement and culpability and their implications for accident prevention. The main findings were that drivers seemed to have a tendency to attribute more responsibility to "other drivers" than to themselves for accidents in which they had been involved, and to consider that such other drivers had more scope for accident avoidance than they did themselves. Such tendencies, although very considerably reduced, were not eradicated within the driver group deemed culpable by traffic police investigative teams. These findings were broadly consistent with those of Clay (1987) and Preston & Harris (1965), suggesting a lack of awareness of personal influence on accident occurrence, at least to some degree, with implications for accident prevention, the quality of social interaction in the driving environment (Knapper & Cropley, 1980), and the driver's potential to learn from experience. Perhaps more importantly, the other major finding was that clear distinctions could nonetheless be made between drivers in accordance with self-reported accident involvement and culpability in relation to driver affect/state, self-perception, attributions for accident causation, and attitudinal/behavioural tendencies, in a manner which seemed to be meaningful in terms of driver susceptibility to accident risk. Ile pattern of response for accident involvement and culpability effects was then examined in relation to the norms which emerged for age and sex, while the effects of driving experience duration and intensity were examined separately. The second point of focus on any distinctive features of younger driver risk, also allowed assessment of generalizability of findings across cultures, to some degree. The findings appear to have considerable implications for the development of effective accident prevention strategies, while suggesting that further exploration of drivers' causal attribution bias in relation to road accidents and distinctions between drivers according to subjective culpability may offer considerable safety benefits.

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Cantonny-Dumontet, Mireille. "Un problème de santé publique : les accidents domestiques chez l'enfant." Bordeaux 2, 1998. http://www.theses.fr/1998BOR2P023.

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Sellström, Eva. "Studies in safety promotion for preschool children /." Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4271-4/.

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Ferry, Michel. "Le parapente, sport a risques : bilan et prevention des accidents." Nancy 1, 1990. http://www.theses.fr/1990NAN11114.

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Stratikopoulos, Dimitrios M. "Identification of pollution prevention and accident prevention technology opportunities for use in supplemental environmental projects." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43570.

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Horswill, Mark Sanho. "An investigation into the use of video simulation techniques for measuring driving behaviour." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240328.

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LA, COMBE BAZARD PASCALE. "Peut-on prevenir les accidents vasculaires cerebraux ?" Angers, 1991. http://www.theses.fr/1991ANGE1004.

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LESAGE, JEAN-FERNAND. "Prevention d'une catastrophe potentielle." Lille 2, 1991. http://www.theses.fr/1991LIL2M038.

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Books on the topic "Accident prevention"

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National Examining Board for Supervisory Management., ed. Accident prevention. 2nd ed. Oxford: Pergamon Open Learning, 1991.

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Washington (State). Dept. of Labor and Industries. Safety Education Section., ed. Accident prevention handbook. [Olympia, Wash.]: State of Washington, Dept. of Labor & Industries, Industrial Safety & Health Division, Safety Education Section, 1986.

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Authority, Haringey Health. Accident prevention policy. London: Haringey Health Authority, 1992.

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Council, Fareham (England) Borough, ed. Action on accidents: Action plan for accident prevention. Fareham: Borough Council, 1995.

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Washington (State). Dept. of Labor and Industries., ed. Accident prevention program handbook. [Olympia, Wash.]: Dept. of Labor and Industries, 1998.

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Washington (State). Dept. of Labor and Industries., ed. Accident prevention program handbook. [Tumwater, Wash.]: State of Washington, Dept. of Labor and Industries, 1993.

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(Firm), CSX Transportation. Train accident prevention manual. Jacksonville, FL: CSX Transportation, 2001.

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Levy, Samuel C., and Per Bro. Battery Hazards and Accident Prevention. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1459-0.

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Gray, Rosemary. Project work on accident prevention. London: Haringey Health Authority, 1992.

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Byman, Judith A. Bus and passenger accident prevention. Washington, D.C: Federal Transit Administration, 1994.

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Book chapters on the topic "Accident prevention"

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Jones, Russell T., Daniel McDonald, and Fran Shinske. "Accident Prevention." In Applied Clinical Psychology, 383–401. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0505-7_24.

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Ebermann, Hans-Joachim, and Patrick Jordan. "Accident Prevention." In Human Factors on the Flight Deck, 1–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31733-0_1.

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Noroozi, Ebrahim, and Ali R. Taherian. "Accident Prevention Elements." In Occupational Health and Safety in the Food and Beverage Industry, 23–58. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003303152-4.

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Ryan, G. Anthony. "Road Accident Prevention Research Unit, Accident Analysis and Prevention." In Transportation, Traffic Safety and Health — Man and Machine, 137–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57248-7_12.

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Stewart, Paul, and Dagmar Kift. "On fatalities, accidents and accident prevention in coalmines." In Making Sense of Mining History, 212–33. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429243806-10.

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"Accident Prevention." In Motor Fleet Safety and Security Management, 17–27. CRC Press, 2004. http://dx.doi.org/10.1201/9780203503409.ch3.

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Michaud, Patrick A. "Accident Prevention." In Accident Prevention and Osha Compliance, 5–8. CRC Press, 2017. http://dx.doi.org/10.1201/9781315136578-2.

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"Accident Prevention." In Motor Fleet Safety and Security Management, Second Edition, 15–24. CRC Press, 2012. http://dx.doi.org/10.1201/b12009-4.

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"Accident Prevention." In Motor Fleet Safety and Security Management, 38–47. CRC Press, 2012. http://dx.doi.org/10.1201/b12009-8.

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"Accident Prevention." In Incident Investigation and Accident Prevention in the Process and Allied Industries, 21–1. CRC Press, 2006. http://dx.doi.org/10.1201/9781439822449.ch21.

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Conference papers on the topic "Accident prevention"

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Hovorushchenko, Tetiana, Olga Pavlova, Yaroslav Binkovskyi, Ada Bilinska, Andrii Holovatiuk, and Denys Melnychuk. "Road Accident Prevention System." In 2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE, 2023. http://dx.doi.org/10.1109/dessert61349.2023.10416514.

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Chowdhury, Shriya, Sanjana Bhattacharjee, Dolphy Gopisetti, and Khushi Priya. "Borewell Accident Prevention System." In 2023 International Conference on Next Generation Electronics (NEleX). IEEE, 2023. http://dx.doi.org/10.1109/nelex59773.2023.10420968.

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Oh, Jeong Seok, and Se Young Jung. "Designing Accident Possibility Prediction Model for Accident Prevention." In Ubiquitous Computing and Multimedia Applications 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.137.24.

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P, Muralidhar, Sai Prashanth A, Pavan Kumar K, Rani C, and Rajesh Kumar M. "Accident Prevention For Autonomous Vehicle." In 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN). IEEE, 2023. http://dx.doi.org/10.1109/vitecon58111.2023.10157414.

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Benmebarek, Samir. "Stress Management and Accident Prevention." In SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 1998. http://dx.doi.org/10.2118/49149-ms.

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Rajput, Kapil, Amit Kumar Mishra, Neeraj Kumar Pandey, Sangeeta Kotiyal, and Babita Rani Radwal. "Accident Prevention Using Drowsiness Detection." In 2023 11th International Conference on Intelligent Systems and Embedded Design (ISED). IEEE, 2023. http://dx.doi.org/10.1109/ised59382.2023.10444572.

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Ford, Steven, Boris Lekakh, Ed Choy, Kamal Verma, and Sorin Ghelbereu. "CANDU 6 Severe Accident Prevention and Mitigation Features." In 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-54541.

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The CANDU 6 design includes features, both engineered and inherent, that act as barriers to prevent and mitigate severe accidents at progressive stages of a beyond design basis event such as that which occurred at Fukushima in March 2011. CANDU 6 has ample design margins including multiple layers of defense. Large inventories of water slow down any accident progression to severe accident conditions, even when multiple failures are assumed; giving operations staff more time to manage the event. Ongoing improvements to operating plants, and enhancements made to future evolutions of the CANDU design (including the Enhanced CANDU 6) improve upon these inherent features, further strengthening the CANDU 6 design to withstand severe core damage accidents.

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Taher, Taieba, R. U. Ahmed, M. A. Haider, Swapnil Das, M. N. Yasmin, and Nurasdul Mamun. "Accident prevention smart zone sensing system." In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). IEEE, 2017. http://dx.doi.org/10.1109/r10-htc.2017.8288908.

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Thokala, Srihan, Rohith Jakkani, Murari Alli, and Hariharan Shanmugasundaram. "Accident Prevention System using Machine Learning." In 2023 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2023. http://dx.doi.org/10.1109/iccci56745.2023.10128202.

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Kumar, J. Mohan, Rishabh Mahajan, Deeksha Prabhu, and Debasmita Ghose. "Cost effective road accident prevention system." In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2016. http://dx.doi.org/10.1109/ic3i.2016.7917988.

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Reports on the topic "Accident prevention"

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ARMY SAFETY CENTER FORT RUCKER AL. Commander's Accident Prevention Program. Fort Belvoir, VA: Defense Technical Information Center, September 1989. http://dx.doi.org/10.21236/ada382659.

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Greenfeld, Joshua, Eugene Golub, Robert Dresnack, F. H. (Bud) Griffis, and Louis J. Pignataro. DTRS-56-94-C-0006 Pipeline Accident Effects for Hazardous Liquid Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 1996. http://dx.doi.org/10.55274/r0012146.

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Identified the factors that cause pipeline failures and the factors that affect accidents on hazardous liquid pipelines. Since the normalizing of the data was not possible, the authors of this report used indirect and inferential approaches in the analysis. The databases used for this analysis are LIQUID (accident data for 1968-1985) and L1QLCK (accident data for 1985-present). The main finding of this report is that better and more complete data on hazardous liquid accidents should be collected. Other conclusions are that prevention programs should be more effective, and pipe components such as valves, O-rings, gaskets, and nipples are a significant source of potentially reducible accidents.

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Fthenakis, V. M., S. C. Morris, and P. D. Moskowitz. Guidelines for accident prevention and emergency preparedness. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10176830.

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ARMY SAFETY CENTER FORT RUCKER AL. Explosives Safety: Leader's Guide to Accident Prevention Series. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada382866.

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Tentner, A. M., E. Parma, T. Wei, R. Wigeland, SNL, and INL. Severe accident approach - final report. Evaluation of design measures for severe accident prevention and consequence mitigation. Office of Scientific and Technical Information (OSTI), March 2010. http://dx.doi.org/10.2172/973483.

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Marsden, Eric. La relation contrôleur-contrôlé dans les activités industrielles à risque. Fondation pour une culture de sécurité industrielle, March 2019. http://dx.doi.org/10.57071/723uib.

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This document concerns the regulatory oversight and governance of high-hazard industrial activities. A complex set of laws, regulations and institutions contribute to the social control of these activities, reinforcing and serving as a complement to the risk prevention mechanisms put in place by operating companies. This document focuses in particular on the relationship between regulators and the regulated entities and the impact of the quality of this relationship on industrial safety. The scope is the prevention of major accident hazards in different industry sectors (process industry, transport, energy), in France and at an international level. The document addresses a broad range of meanings for the term “regulator”, including the entities and people who play an official role in regulatory control and societal governance: legislators, control authorities, inspectors, as well as certified third parties with a mandate to control specific activities, and the internal risk control organizations within firms. This document aims to outline the impacts of the regulator-regulatee relationship, its contribution to the governance and control of major accident hazards, and the factors that determine the quality of this relationship and its capacity to contribute to safety.

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Carter, III, J., M. Fontana, S. Additon, R. Summitt, R. Henry, and R. Hammersley. Prevention of early containment failure due to high pressure melt ejection and direct containment heating for advanced light water reactors: Advanced Reactor Severe Accident Program. Office of Scientific and Technical Information (OSTI), March 1990. http://dx.doi.org/10.2172/6888741.

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Marsden, Eric, Noëlle Laneyrie, Cécile Laugier, and Olivier Chanton. La relation contrôleur-contrôlé au sein d’un réseau d’acteurs. Fondation pour une culture de sécurité industrielle, June 2023. http://dx.doi.org/10.57071/933rrr.

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This document concerns the regulatory oversight and governance of high-hazard industrial activities. A complex set of laws, regulations and institutions contribute to the social control of these activities, reinforcing and serving as a complement to the risk prevention mechanisms put in place by operating companies. This document focuses in particular on the relationships between regulated firms, regulatory authorities and third party intermediaries who play a role in safety oversight (certification bodies, auditors, insurers, professional associations, etc.) and the impact of the quality of these relationships on industrial safety. The scope is the prevention of major accident hazards in different industry sectors (process industry, transport, energy), in France and at an international level. We focus our attention on different forms of “coregulation”, the act of enrolling the entities concerned by regulatory measures in their elaboration and the verification of their compliance, which is believed to improve their appropriation by private actors and thereby produce better oversight than classical command-and-control regulation. We analyze in particular the partial delegation of authority, internal risk control mechanisms and the use of third party intermediaries in the oversight process. This coproduction of regulation by public and private entities is increasingly used in different industry sectors, and leads to a more collaborative and interconnected regulatory process, based on a network of actors rather than a simple regulator-regulatee duopole.

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ARMY SAFETY CENTER FORT RUCKER AL. Preventing Army Motor Vehicle Accidents. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada373207.

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ARMY SAFETY CENTER FORT RUCKER AL. Preventing Accidents in the Ordnance Corps. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada373030.

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