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Liquefied petroleum gas (LPG), known by its ecological qualities, making Algeria has since the 1980s carried out a policy of development of LPG fuel in substitution of traditional fuels and especially petrol. However, following a series of accidents (fires, explosions, etc). that occurred in 1999, 20 years after the introduction of the LPG in France these incidents led to the search for the strengthening of the safety of the installations by better or new technical and/or organizational measures. This strategy consists in establishing a balance between environmental protection and economic profitability while ensuring the safety aspect.

The approach used is quantitative risk analysis authors have identified the potential accident scenarios that consist of leakage and rupture of tanks depend on bow tie. According to the latter using PHAST software, to model these scenarios (thermal, overpressure and dispersion) and their effects on human beings and goods.

In this paper, it was noted that there are scenarios such as (jet fire, dispersion), are affected by atmospheric conditions (wind speed humidity), the stronger the wind, the higher the LPG spread unlike instant scenarios (1.3 s for the fireball and millisecond for the explosion) that have not been related to climatic conditions because they have a short duration on the one hand, and on the other hand, a safe distance is given in each phenomenon. Finally, some instructions for drivers and installers have been identified by protective and preventive action.

Based on a quantitative risk analysis, this work involves modelling potential accident scenarios such as (fireball, jet fire, flash fire and explosion) in the event of a gas leak and rupture in the tank. It aims to sensitize drivers and LPG kit installers, even to get a clear view on these accidental phenomena and how to avoid them.

The research activity presented in this paper has the objective of developing models for the evaluation of technological risk and loss of production due to failures, which are among the criterions that enable the choice of optimal scenarios for energy supply. This activity is based on the European Project “Risk of Energy Availability: Common Corridors for Europe Supply Security” (REACCESS), which aims to develop an analytical tool to analyse scenarios for future secure European Union (EU) energy supply.

The paper proposes an innovative approach, since nowadays a generalised analytic model for risk assessment in large‐scale energetic systems does not exist. In particular, the methodology adopted includes models to assess risk for people safety, risk for the environment and availability for corridors and the related infrastructures. As regards technological risk, accidents producing loss of lives in the population and environmental damage are taken into account; while for the loss of production primary attention is paid to technical failures and maintenance.

Since the analytic models developed perform a large‐scale assessment, they must be flexible and simplified to adapt to different situations and to be easily updated when different future scenarios are investigated. Details of the analysis depend on the precision of data collected and inserted in the models. The damage assessment is affected by deficiency and uncertainties related to territorial and statistical data. Nevertheless, the outcomes obtained for each energy commodity are reasonable and often comparable to literature data.

Based on this study output, technological risk can be considered, more systematically than in the past, in the selection of EU strategies for future energy supply. The corridors social cost is included in future strategies selection, in addition to purely economical and environmental evaluations.

The purpose of this paper is to improve the efficiency of accident management from the angle of reducing highway accident response times while taking into account total daily work hours.

The authors developed a patrol beat scheduling model, which is formulated as a chance-constrained optimization model, with the objective of minimizing the sum of officer work hours. Along with the model, a simulation program was also developed to help evaluate the effectiveness of the model-generated beat schedule in terms of response times.

This study concluded that, first, the current manually designed beat schedule could be improved should the National Highway Police Bureau adopt the proposed model. Second, the total daily work hours of the model-generated schedule at the confidence level of 100 percent were 64 hours, 21 hours less than the average work hours recorded in the 2006 data, or about an improvement of 24 percent. Should the model be adopted, not only response times will be improved, the 24 percent reduction in work hours could be translated into a cut in personnel cost.

The scheduling model and simulation program are both built upon one-year historical data whose accuracy and completeness is prerequisite.

The proposed model can be adopted by other public service agencies such as fire departments, or emergency service centers. By replacing the historical data used in the study with their own data, agencies can evaluate the efficiency of their existing schedule or generate various schedules based on institutional needs.

This model utilizes historical accident data to generate optimal beat schedule and evaluate the efficiency of such schedule. Similar models have not been found in other studies.

The purpose of this paper is to estimate delivered hydrogen cost including both transport and expected accidents cost comparing compressed gas or liquid hydrogen road transport. The model allows to determine whether, in a given context, the risk of accidents is an influencing variable in the selection of the hydrogen transport mode. It also helps to select the lowest cost transport mode and route.

Transportation cost models are developed and integrated with a risk analysis model to determine expected accidents cost so that an overall delivered hydrogen cost can be computed. Alternative transport modes are compared on the basis of hydrogen demand, delivery distance and route type.

While safety cost in many cases can be considered negligible with respect to overall hydrogen transport cost, there are cases (high flow rate, long distance) where accident cost is relevant, especially in routes through densely populated areas. In such cases, factoring in accidents cost may significantly affect the break even point between CH2 and LH2 transport alternatives.

The paper only deals with proven road transportation methods (CH2 and LH2). Inclusion of alternative transport modes such as pipeline or hydrides is a future research goal.

Decision makers can examine the costs implied by hydrogen transportation alternatives in different economic scenarios factoring in safety costs to make informed decision.

Available hydrogen transportation cost models neglect any safety issue, while risk assessment models only consider accident consequences costs. This work integrates both views.

Previous research regarding shaping factors and major causes behind accidents in the construction field is reviewed. In particular, a hypothetical model is established to correlate activity time, cost and safety in the context of construction activity acceleration planning. Two demonstration cases are presented to illustrate the proposed theoretical model in the context of critical activity expedition planning. Further, a third case uses a 100-activity project to perform the global level total project time and cost analysis, identifying specific activity acceleration plans that would materialize the shortened total project time at the lowest total project cost.

This research proposes a safety-centric application framework to guide construction acceleration planning at both activity and project levels while taking sufficient preventive measures against safety hazards and accidents. As planning construction acceleration by factoring in safety constraints inevitably drives up cost, it is imperative to control increases in activity costs at the local level in connection with schedule acceleration planning while at the same time not compromising on safety. This research also addresses this critical question through performing global level total project time and cost analysis.

An application framework is proposed for guiding a planner through identifying accident shaping factors, obeying schedule acceleration rules and accounting for safety-related costs in attempts to mitigate hazardous situations on-site at both activity level (local) and project level (global), resulting in (1) minimizing the increase of total project cost in schedule acceleration while at the same time not compromising on safety at individual activities; (2) producing specific execution plans on each individual activity in terms of the amount of time to crash and the associated activity cost.

This study is original in developing theories and methods for evaluating the impact of safety constraints upon construction time and cost in activity acceleration planning and project time-cost analysis. The research fills a gap in knowledge in terms of how to factor in sufficient safety constraints while achieving project time and cost objectives on construction acceleration planning at both activity and project levels.

The purpose of this paper is to develop a multi-agent-based simulation model for the online opinion dissemination during hazardous chemical leakage emergencies into rivers in China, to explore an appropriate crisis information release policy of China’s government for controlling public panic.

In the proposed model, two fundamental attributes of crisis information, i.e., truthfulness (for true or false news) and attitude (for positive, neutral or negative opinion), are considered. Four major agents in the online community system, i.e., citizens, the government, media and opinion leaders, are included. Using four typical accidents of hazardous chemical leakage into rivers in China as case studies, insightful policy implications can be obtained for crisis management and panic control.

The news about the terrible potential damages from such a type of accidents will instantly arise wide-ranging public panic; therefore, the corresponding crisis information release policy should be carefully designed. It is strongly advised against publishing false news to temporarily conceal the accidents, which will seriously hurt the government’s reputation and agitate much larger-scale public panic in terms of degree and duration. To mitigate public panic, the true news especially about treatment measurements should be published immediately. If the government does nothing and releases no crisis information, the public panic will go out of control.

This paper only focuses on the crisis information release policies from the perspectives of the government. Furthermore, this study especially focuses on the cases in China, and extending the proposed model study for general contexts is an important direction to improve this study. Finally, the proposed model should be extended to other types of emergencies to further justify its generalization and universality, especially various natural catastrophes like storms, floods, tsunamis, etc.

This paper develops a multi-agent-based model for online public opinion dissemination in emergency to explore an appropriate crisis information release policy for controlling public panic stemming from hazardous chemicals leakage accidents into rivers. The proposed model makes major contributions to the literature from two perspectives. First, the crisis information about emergency accidents are divided into true and false news based on the truthfulness attribute, and into neutral, positive and negative emotions based on the attitude attribute. Second, the proposed model covers the main agents in the online virtual community.

The emergence of “black swans” represents (according to Taleb) “[…] our misunderstanding of the likelihood of surprises”. The purpose of this paper is to study accidents and disasters and the inherent misunderstanding and absence of awareness associated with the existence of black swans and their complex aetiology. Red teaming and scenario planning provide a methodology to explore the uncertainties and challenge of the mental models associated with accident and disaster aetiology.

The argument draws upon the successful application of red teaming and scenario planning in various domains noted in the literature and lessons learned from the failure to recognize black swans. An analysis of the literature illustrates how the salient characteristics of red teaming and scenario planning can be applied to the illumination of black swans to support risk, crisis and disaster management.

Recognizing the uncertainty resident within the safety and security problem space opens up the notion that more than one future is potentially open. It is argued that the inherent properties of red teaming, within the context of scenario planning, facilitates an effective approach to bring risk, crisis and disaster planners/managers together to discuss their concerns and explore the factors creating uncertainty and the emergence of black swans.

The value of red teaming (scenario planning) to challenge linear thinking and recognize the inherent uncertainty in the space of possibilities is well supported. Applied to the risk, crisis and disaster management domain, red teaming and scenario planning can provide insights into the emergence of black swans and thereby shape mitigation strategies.

Central to the entire discipline of construction safety management is the concept of construction accidents. Although distinctive progress has been made in safety management applications over the last decades, construction industry still accounts for a considerable percentage of all workplace fatalities across the world. This study aims to predict occupational accident outcomes based on national data using machine learning (ML) methods coupled with several resampling strategies.

Occupational accident dataset recorded in Turkey was collected. To deal with the class imbalance issue between the number of nonfatal and fatal accidents, the dataset was pre-processed with random under-sampling (RUS), random over-sampling (ROS) and synthetic minority over-sampling technique (SMOTE). In addition, random forest (RF), Naïve Bayes (NB), K-Nearest neighbor (KNN) and artificial neural networks (ANNs) were employed as ML methods to predict accident outcomes.

The results highlighted that the RF outperformed other methods when the dataset was preprocessed with RUS. The permutation importance results obtained through the RF exhibited that the number of past accidents in the company, worker's age, material used, number of workers in the company, accident year, and time of the accident were the most significant attributes.

The proposed framework can be used in construction sites on a monthly-basis to detect workers who have a high probability to experience fatal accidents, which can be a valuable decision-making input for safety professionals to reduce the number of fatal accidents.

Practitioners and occupational health and safety (OHS) departments of construction firms can focus on the most important attributes identified by analysis results to enhance the workers' quality of life and well-being.

The literature on accident outcome predictions is limited in terms of dealing with imbalanced dataset through integrated resampling techniques and ML methods in the construction safety domain. A novel utilization plan was proposed and enhanced by the analysis results.

In Dubai, traffic accidents kill one person every 37 hours and injure one person every 3 hours. Novice traffic accident investigators in the Dubai police force are expected to ‘learn by doing’ in this intense environment. Currently, they use no alternative to the real world in order to practice. This paper argues for the use of an alternative learning environment, where the novice investigator can feel safe in exploring different investigative routes without fear for the consequences. The paper describes a game‐based learning environment that has been built using a game engine. The effectiveness of this environment in improving the performance of traffic accident investigators is also presented. Fifty‐six policemen took part in an experiment involving a virtual traffic accident scenario. They were divided into two groups: novices (0 to 2 years experience) and experienced personnel (with more than 2 years experience). The experiment revealed significant performance improvements in both groups, with the improvement reported in novices significantly higher than the one reported in experienced personnel. Both groups showed significant differences in navigational patterns (e.g. distances travelled and time utilization) between the two training sessions.

This study aims to reduce the construction safety accidents of prefabricated building (PB) projects, improve the efficiency and effectiveness of safety supervision by government departments, and provide theoretical reference for improving the safety supervision system of PB construction.

Considering the information asymmetry between government supervision departments and construction contractors and the interactive relationship between the two parties under bounded rationality, we propose an evolutionary game model for the construction safety dynamic supervision of PBs and analyze the evolutionary strategy of the game. The system dynamics (SD) method is used to simulate and analyze the evolutionary game process under a dynamic supervision strategy and the adjustment of external variables.

The cost difference between the government's strong and weak supervision, the construction contractor's additional expenditure for strengthening safety management, and other factors affect system stability. The government can dynamically adjust the penalties based on the construction contractor's subjective willingness to ignore safety management and further adjust their rate of change based on the completion of the supervision goals to improve the efficiency and effectiveness of construction safety supervision.

This study makes contributions in two areas. Through a combination of SD and an evolutionary game, it provides new insights into the strategic choice of the main body related to PB construction safety. Additionally, considering the nonlinear characteristics of construction safety supervision, it provides useful universal suggestions for PB construction safety.