Unsafe behavior among construction personnel poses significant risks in petroleum engineering construction projects. This study addresses this issue through the application of a multi-field coupled ...homogeneous analysis model. By conducting case analyses of petroleum engineering construction accidents and utilizing the WSR methodology, the influencing factors of unsafe behaviors among construction personnel are systematically categorized into organizational system factors, equipment management factors, and construction personnel factors. Subsequently, employing Risk coupling theory, the study delves into the analysis of these influencing factors, discussing their coupling mechanisms and classifications, and utilizing the N-K model to elucidate the coupling effect among them. Furthermore, a novel approach integrating coupling analysis and multi-agent modeling is employed to establish an evolutionary model of construction personnel's unsafe behavior. The findings reveal that a two-factor control method, concurrently reinforcing equipment and construction personnel management, significantly mitigates unsafe behavior. This study provides valuable insights into the evolution of unsafe behavior among construction personnel and offers a robust theoretical framework for targeted interventions. Significantly, it bears practical implications for guiding safety management practices within petroleum engineering construction enterprises. By effectively controlling unsafe behaviors and implementing targeted safety interventions, it contributes to fostering sustainable development within the petroleum engineering construction industry.
Providing a practical introduction to the basic theories and principals of accident prevention through diagnosis and feedback control, this book presents the various methods and tools of safety, ...health, and environment (SHE) practice where experience feedback is employed. These include methods of accident and near accident reporting and investigati
The triple disaster that struck Japan in March 2011 forced people living there to confront new risks in their lives. Despite the Japanese government's reassurance that radiation exposure would be ...small and unlikely to affect the health of the general population, many questioned the government's commitment to protecting their health. The disaster prompted them to become vigilant about limiting their risk exposure, and food emerged as a key area where citizens could determine their own levels of acceptable risk.
Food Safety after Fukushima examines the process by which notions about what is safe to eat were formulated after the nuclear meltdown. Its central argument is that as citizens informed themselves about potential risks, they also became savvier in their assessment of the government's handling of the crisis. The author terms this "Scientific Citizenship," and he shows that the acquisition of scientific knowledge on the part of citizens resulted in a transformed relationship between individuals and the state. Groups of citizens turned to existing and newly formed organizations where food was sourced from areas far away from the nuclear accident or screened to stricter standards than those required by the state. These organizations enabled citizens to exchange information about the disaster, meet food producers, and work to establish networks of trust where food they considered safe could circulate.
Based on extensive fieldwork and interviews with citizens groups, mothers' associations, farmers, government officials, and retailers, Food Safety after Fukushima reflects on how social relations were affected by the accident. The author vividly depicts an environment where trust between food producers and consumers had been shaken, where people felt uneasy about their food choices and the consequences they might have for their children, and where farmers were forced to deal with the consequences of pollution that was not of their making. Most poignantly, the book conveys the heavy burden now attached to the name "Fukushima" in the popular imagination and explores efforts to resurrect it.
The real-time monitoring on the risk status of the vehicle and its driver can provide the assistance for the early detection and blocking control of single-vehicle accidents. However, complex risk ...coupling relationship is one of the main features of single-vehicle accidents with high mortality rate. On the basis of investigating the coupling effect among multi-risk factors and establishing a safety management database throughout the life cycle of vehicles, single-vehicle driving risk network (SVDRN) with a three-level threshold was developed, and its topology features were analyzed to assessment the importance of nodes. To avoid the one-sidedness of single indicator, the multi-attribute comprehensive evaluation model was applied to measure the comprehensive effect of characteristic indicators for nodes importance. A algorithm for real-time monitoring of vehicle driving risk status was proposed to identify key risk chains. The result revealed that improper operation, speeding, loss of vehicle control and inefficient driver management were the sequence of top four risk factors in the comprehensive evaluation result of nodes importance (mean value = 0.185, SD = 0.119). There were minor differences of 0.017 in the node importance among environmental factors, among which non-standard road alignment had the larger value. The improper operation and non-standard road alignment were the highest combination correlation of factors affecting road safety, with the support of 51.81% and the confidence of 69.35%. This identification algorithm of key risk chains that combines node importance and its risk state threshold can effectively determine the high-frequency risk transmission paths and risk factors through multi-vehicle test, providing a basis for centralization management of transport enterprises.
To estimate the burden of road traffic injuries and deaths for all road users and among different road user groups in Africa.
We searched MEDLINE, EMBASE, Global Health, Google Scholar, websites of ...African road safety agencies and organizations for registry- and population-based studies and reports on road traffic injury and death estimates in Africa, published between 1980 and 2015. Available data for all road users and by road user group were extracted and analysed. We conducted a random-effects meta-analysis and estimated pooled rates of road traffic injuries and deaths.
We identified 39 studies from 15 African countries. The estimated pooled rate for road traffic injury was 65.2 per 100 000 population (95% confidence interval, CI: 60.8-69.5) and the death rate was 16.6 per 100 000 population (95% CI: 15.2-18.0). Road traffic injury rates increased from 40.7 per 100 000 population in the 1990s to 92.9 per 100 000 population between 2010 and 2015, while death rates decreased from 19.9 per 100 000 population in the 1990s to 9.3 per 100 000 population between 2010 and 2015. The highest road traffic death rate was among motorized four-wheeler occupants at 5.9 per 100 000 population (95% CI: 4.4-7.4), closely followed by pedestrians at 3.4 per 100 000 population (95% CI: 2.5-4.2).
The burden of road traffic injury and death is high in Africa. Since registry-based reports underestimate the burden, a systematic collation of road traffic injury and death data is needed to determine the true burden.
As the social cost of disasters increases and safety is being emphasized, policy regulations at the national level have been implemented. However, various fatal accidents are continually occurring as ...continued economic development and enhanced technologies have increased demand and complicated the industrial structure. Workers in different industries, performing similar jobs, often experience different workplace hazards, which can result in similar types of accidents. Therefore, new policy regulations have been established to separate multiple processes and work in workplaces and are being implemented in several countries to minimize damage caused by new types of industrial accidents. Supervision and management appropriate for contractors or safety and health officials with legal obligations are required to play a regulatory role when these types of industrial accidents are likely to occur. This study classified accidental types and their characteristics based on actual cases, in which potential risks exist at multiple processes in a workplace. First, raw data of work-related fatalities that occurred in South Korea were reviewed and classified as fatal accidents caused by multiple processes in workplaces using the proposed method. Next, the classified actual cases were prepared as statistical data and analyzed based on the various categories. Finally, the accident type based on multiple processes, including risks and characteristics, in workplaces was proposed. As a result, this study improved the safety awareness and understanding of regulatory subjects regarding industrial accidents caused by multiple processes in workplaces and is expected to improve the effectiveness of the existing policy to prevent workplace accidents.
•The proposed method can classify and predict occupational accident types using a random forest (RF) model.•We presented key construction safety factors that affect the occupational accident types in ...Korea using feature importance.•The accuracy score of the RF model was obtained as 71.3%.•It will give a significant contribution to safety management of both practitioners and researchers in the construction industry.
Although industrial accident rates are gradually decreasing in Korea, the construction industry's accident rate is still higher compared with other industries. Human errors, mentally unstable workers, insufficient safety training, and safety policy affect the occurrence of construction accidents. Owing to the characteristics of this industry, occupational accident types, such as fall from height, collision with objects, rollover, and those due to falling objects, can be related to the weather data.
Therefore, to reduce and prevent occupational injury, it is necessary to classify and predict occupational accident types in detail. In this study, we built a model to classify and predict occupational accident types using a random forest (RF). We extracted important factors that affect the occupational accident types at construction sites using feature importance, and we analyzed the relationship between these factors and occupational accident types. The accuracy score of the RF model was obtained as 71.3%, and we presented key construction safety factors considering the feature importance. For future research, we will collect data and develop models to predict occupational accident types in real-time. Real-time construction accident prediction research will reduce accident at construction sites.
Currently, many types of sensors, such as cameras and radars have been widely deployed on road networks according to historical accident data for traffic accident detection and prevention. However, ...the uncertainty of traffic accidents and finite historical accident data will induce the bias of sensor deployment. As a result, engineers have to adjust the locations of sensors many times to pursue better accident detection and prevention performance in practice. This will cause a large number of engineering costs and can hardly realize the optimal reallocation of sensors. To address the problem, an optimal reallocation method of heterogeneous sensors is proposed. In the method, to reduce the influence of accident uncertainty under finite historical accident samples, the optimal transport is introduced to estimate the stable spatial distribution of accident risk. Then the sensor reallocation problem is reduced as a coverage enhancement problem on the stable spatial distribution of accident risk. The optimal reallocation model of heterogeneous sensors is constructed to optimize the type, number, and location of reallocated sensors by maximizing the coverage quality with the constraint of cost-effectiveness, the number of existing heterogeneous sensors, and so on. And the bisection method and AO-GI-MO algorithm are combined to solve it. In experiments, stability, consistency, reliability, and comparison experiments are carried out to validate the proposed method by using international open traffic accident data. The results show the proposed method could improve the detection performance of traffic accidents effectively.
In the context of fitness certification to hold the driving license, GGT and CDT have been used, sometimes in combination (γ-CDT), to exclude chronic alcohol abuse. The present study was carried out ...with the aim of comparing the power of these biomarkers as tools for the objective screening of subjects at high risk of alcohol-associated traffic injuries.
288 male drivers admitted to hospital after traffic accidents were examined by determination of GGT, CDT and BAC. The degree of association of GGT, CDT and γ-CDT with BAC was analysed using non-parametric statistics.
Partitioning the cases using the cut-off concentrations of 0.5 g/L for BAC (the legal limit adopted in most European countries), 55 U/L for GGT and 1.9% for CDT, a highly significant difference was found between the frequency of elevated GGT or CDT in cases where BAC was within the legal limits and those with elevated BAC values (Fisher’s exact test: p < 0.001). However, the calculation of the odds ratio showed a much higher increase for CDT (28 times) than for GGT (6 times) in those drivers with a BAC above the Italian legal limit in comparison with those showing a BAC within the cut-off; conversely, γ-CDT does not provide any significant advantage vs. CDT alone.
Both GGT and CDT provide objective evidence of an association with the occurrence of alcohol-related severe traffic accidents, but CDT shows superior association with these events. Therefore, CDT, notwithstanding higher costs, should be preferred in a forensic/certification context.
•GGT, CDT and γ-CDT were compared as diagnostic tools in a certification context.•Samples from traffic accidents were examined by determination of GGT, CDT and BAC.•The degree of association of these biomarkers with BAC was studied.•CDT provided a stronger association with the risk of traffic accidents vs. GGT.•CDT, notwithstanding higher costs, should be preferred in forensic contexts.
Accident investigation and risk assessment have for decades focused on the human factor, particularly 'human error'. Countless books and papers have been written about how to identify, classify, ...eliminate, prevent and compensate for it. This bias towards the study of performance failures, leads to a neglect of normal or 'error-free' performance and the assumption that as failures and successes have different origins there is little to be gained from studying them together. Erik Hollnagel believes this assumption is false and that safety cannot be attained only by eliminating risks and failures.
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