Fatal workplace accidents in outsourced operations in the manufacturing industry

Several studies have indicated that outsourcing increases the risk of accidents and presented some explanations for this phenomenon. For example, higher accident proneness of external employees has been presented, but the common causes of accidents have not been reviewed in depth. This paper provides information about typical accidents, the contributing factors, and preventive measures of fatal occupational accidents that occurred in outsourced manufacturing tasks. This paper also compares whether these factors differ from accidents that occurred when tasks were performed in-house in the manufacturing industry. The focus is on operations executed in the factory area for or by an organization operating in the manufacturing business. The accident analysis is based on information gathered from accident reports for fatal workplace accidents that occurred in Finland during 1999–2008. At outsourced operations in manufacturing, accidents occur most commonly when installations or work preparations are being performed. According to the reports, dangerous work practices and insufficient hazard identification most frequently contributed to accidents. In order to prevent typical accidents, e.g., occupational instructional and guidance, hazard identification, work practices, supervision, and task planning should be improved. Statistical differences between outsourced and in-house operations were also found, mainly within the contributing factors. Therefore, the safety of outsourced manufacturing operations should be considered in detail in order to prevent accidents and ensure occupational safety also when operated with other performers.     

基于STAMP-ISM的铁路危险品运输系统风险-事故分析方法*

为预防铁路危险品运输系统事故的发生,采用STAMP-ISM模型分析铁路危险品运输系统风险-事故。首先,利用STAMP模型详细分析事故,得到控制结构的相关安全约束、不充分控制行为及产生原因,以及系统的安全动态变化;其次,采用ISM分析事故致因因素之间的关联关系并划分层级;最后,基于STAMP和ISM分析结果提出系统改进方案。以我国一起匿名夹带事故为背景进行案例研究,结果表明,ISM模型的加入可深入挖掘事故因素间的相互关系,为事故致因因素重要度划分层级,分析结果及建议更具针对性。     

Research on the prediction of dangerous goods accidents during highway transportation based on the ARMA model

The COVID-19 epidemic has caused a lack of data on highway transportation accidents involving dangerous goods in China in the first quarter of 2020, and this lack of data has seriously affected research on highway transportation accidents involving dangerous goods. This study strives to compensate for this lack to a certain extent and reduce the impact of missing data on research of dangerous goods transportation accidents. Data pertaining to 2340 dangerous goods accidents in the process of highway transportation in China from 2013 to 2019 are obtained with webpage crawling software. In this paper, the number of monthly highway transportation accidents involving dangerous goods from 2013 to 2019 is determined, and the time series of transportation accidents and an autoregressive moving average (ARMA) prediction model are established. The prediction accuracy of the model is evaluated based on the actual number of dangerous goods highway transportation accidents in China from 2017 to 2019. The results indicate that the mean absolute percentage error (MAPE) between the actual and predicted values of dangerous goods highway transportation accidents from 2017 to 2019 is 0.147, 0.315 and 0.29. Therefore, the model meets the prediction accuracy requirements. Then, the prediction model is applied to predict the number of dangerous goods transportation accidents in the first quarter of 2020 in China. Twenty-two accidents are predicted in January, 23 accidents in February and 27 accidents in March. The results provide a reference for the study of dangerous goods transportation accidents and the formulation of accident prevention and emergency measures.     

基于半定量的FRAM道路危险品运输事故分析方法研究*

为弥补事故分析法在道路危险品运输事故致因研究方面的缺失,解决传统事故分析方法分析结果不全面、防控措施不具体且针对性较差的问题,引入半定量功能共振事故模型（FRAM）,通过定量化功能上下游耦合变异性,阐述事故发生机理同时,找到系统关键功能和关键链路,制定防控措施重点监控。结果表明:基于半定量的FRAM道路危险品运输事故分析方法能够更快、更准确地找出事故发生的关键功能和关键链路,制定针对性防控措施,有效提高道路危险品运输系统安全性。研究结果可为道路事故分析提供参考。     

危险货物道路运输事故统计分析

为掌握危险货物道路运输事故的发生规律,预防事故与灾害发生,笔者收集、整理了2000年9月至2007年3月间的609起危险货物道路运输事故案例,并对案例进行详细分解和统计分析,获得了危险货物道路运输事故的时间分布、地域分布、路段分布、事故形态分布、事故原因分布等统计特征。研究结果表明,危险货物道路运输事故具有如下规律:早晨和上午(4时至12时)是事故多发时段;事故形态以单车事故为主,特别是车辆倾斜或侧翻事故为数最多;驾驶员处置不当和违法驾驶行为以及运输车辆机件失效是导致事故的最主要的两类原因。针对案例分析结果,提出预防危险货物道路运输事故、保障危险货物道路运输安全的对策与建议。     

Modelling accidental releases of dangerous gases into the lower troposphere from mobile sources

The article reports the results of different methods of modelling releases and dispersion of dangerous gases or vapours in cases of major accidents from road and rail transportation in urban zones. Transport accidents of dangerous substances are increasingly frequent and can cause serious injuries in densely inhabited areas or pollution of the environment. For quantitative risk assessment and mitigation planning, consequence modelling is necessary.

The modelling of dangerous substance dispersion by standard methods does not fully represent the behaviour of toxic or flammable clouds in obstructed areas such as street canyons. Therefore the predictions from common software packages as ALOHA, EFFECTS, TerEx should be augmented with computational fluid dynamics (CFD) models or physical modelling in aerodynamic tunnels, and further studies are planned to do this.

The goal of this article is to present the results of the first approach of modelling using these standard methods and to demonstrate the importance of the next development stage in the area of transport accident modelling of releases and dispersions of dangerous substances in urban zones in cases of major accident or terrorist attacks.     

基于熵权模糊综合评价的铁路危险货物运输预警

为保证危险货物铁路运输安全,基于铁路交通灾害预警管理理论,就危险货物铁路运输提出预警管理方法和建议。首先大量参阅危险货物铁路运输事故案例,结合安全系统工程理论,构建危险货物铁路运输预警系统指标体系。然后针对模糊综合评价权重难以确定的问题,为避免权重主观性过强,利用基于熵权模糊综合评价法对危险货物铁路运输安全进行评价。结合实例试算,结果表明:基于熵权模糊综合评价法的结果同原用评价法的结果基本一致。最后探讨铁路危险货物运输的定性预控措施。     

基于点危险源的危险品运输路径优化研究

为合理选择危险品运输路径,降低危险品运输事故造成的损失,使道路危险品运输风险评价更符合实际情况,建立点危险源风险评价模型。模型综合考虑了运输时间和季节情况影响因子,在准确估算危险品泄漏事故毒害区域面积和后果损失的基础上,结合传统风险评价模型与最大最小模型进行求解。最后通过算例分析,检验该模型的实际运用,通过与传统求和方式所得的最优运输路径的对比,反映2种方式所求得的最优运输路径并不相同,同时也表明,用所建模型求得的运输路径风险值有更高的精确性。计算结果表明:该模型求得的某条运输路径的风险值等于该路径上风险值最大的路段的风险值,而不是该路径上所有路段的风险值之和。     

造修船中爆炸事故的控制技术探讨

船舶行业中,造修船不仅是集资金、技术、劳动力的密集性行业,同时又是我们国家目前较高危险的行业之一,各类事故经常发生。特别是生产过程中的火灾与爆炸事故,往往带来的是不可预计的后果,事故性质都非常恶劣。经过调查研究发现,18～30岁阶段的年轻人是事故发生的高发人群,生产组织单位就这一问题展开应对,从而达到以人为本,安全生产的方针。火灾爆炸事故的发生不仅会给企业和职工带来了严重危害,给国家和人民的生命财产造成损失,同时又在社会上产生相当大的负面影响,因此本文对造修船过程中的火灾与爆炸作了分析,了解火灾爆炸事故的原理,掌握事故发生的规律,企业如何在技术上和管理上发挥其应有的职责,就如何控制与减少造修船中的火灾爆炸事故的发生,提高应对措施。     

物流基地危险货物储区外部安全防护距离研究

在物流基地规划建设中,危险货物储区外部安全防护距离的设定是很重要的一个组成部分。针对危险货物储区化学爆炸与毒气泄漏事故影响范围大、后果严重等特点,先应用鱼刺图事故分析原理分析危险货物储区危险因素,再建立化学爆炸与毒气泄漏危害距离计算模型,最后以冲击波伤害与毒气中毒有效剂量标准为依据,根据已建模型计算化学爆炸与主、次导风向毒气泄漏伤害距离。结果表明在设定安全防护距离时,结合化学爆炸、毒气泄漏危害距离模型,能得到合理的危险货物储区周边安全防护距离,具有实际应用价值。     

航空危险品运输作业风险管理

由于危险品的危害特性,运输操作上涉及多环节因素以及航空运输装载的特殊要求,在航空运输作业环节中易造成安全事故,因此需要对危险品航空运输作业进行风险管理。根据人-机-环-管分析方法,从航空危险品运输中的收运、卸载、储存、装载环节进行危险源识别,并构建指标体系。用三角模糊数和ANP相结合的方法对风险发生的严重度进行分析。对安全影响较大的前几位因素:人员违规,规章制度,监督检查,员工教育、培训,应急预案,防护装置使用率,提出了安全管理体系的建立及实施,加强从业人员的管理,对危险品运输环节的设备进行管理风险控制措施。     

事故树分析法在LPG储罐火灾爆炸事故中的应用

LPG(液化石油气)属于危险化学品之一,LPG储罐发生火灾爆炸的机率大,造成的损失比较严重,故对其火灾爆炸事故进行研究具有重要意义。LPG储罐爆炸根据其发生机理分为化学爆炸(燃爆)和物理爆炸两种模式。本文通过对LPG储罐燃爆﹑物理爆炸两类事故进行系统分析,建立了以LPG储罐燃爆、物理爆炸为顶事件的事故树。通过对其事故树的定性分析,得到了影响顶事件的各个最小割(径)集。通过计算底事件的结构重要度,确定了影响LPG储罐火灾爆炸事故的主要因素,并提出了相应的改进措施,进而提高LPG储罐的安全性和运行可靠性。     

易燃易爆危险品道路运输火灾事故应急区域的确定方法

从消防监管的角度给出了道路运输易燃易爆危险品的火灾危险性分级标准,分析了典型泄漏事故后果场景和常见的泄漏规模类型.介绍了美国消防协会NFPA471、应急响应手册ERG2008危险品运输事故初期区域的确定方法,并提出了基于影响半径的危险品道路运输火灾事故现场应急区域和人员疏散范围的确定方法.提出对于易燃易爆危险品道路运输事故应急区域的确定,在初期可优先采用ERG 2008提供的初期隔离距离与防护距离进行先期处置,然后根据运输危险品的类型、运输量和影响区人员总数进行定量评估分析,以确定适当的应急区域范围.依据运输道路场所环境和事故场景特点,快速而合理的确定事故应急隔离区和疏散区,可较科学地应对突发性灾难事故,采取快速应急响应措施,优化消防警力配备.该文研究提出的方法和研究结论,可为危险品道路运输消防应急力量优化调度,现场指挥员采取有效措施开展抢险救援行动提供技术支持,有利于现场事故应急处置和人员快速安全疏散.     

铁路运输传爆药安全性评价

通过对现有传爆药安全性综合评价方法和装载加固评价方法进行改进,建立导弹铁路运输安全评价模型,运用改进型安全评价方法计算出导弹运输实际现实危险度。通过重大事故后果模拟法对运输过程中存在的最大量危险源进行分析、模拟,得出发生事故后产生的对人、物的危害范围。运用装载加固安全评价方法对装载加固方案进行评价,从而得知铁路运输导弹的危险综合程度,该评价模型可为铁路运输部门危险货物运输安全评价提供参考。     

FDA事故致因模型在海上船舶碰撞事故安全管理中的运用研究

FDA事故致因模型从安全信息视角出发,将海上船舶碰撞事故发生的宏观与微观因素系统地结合在一起,以管理科学和技术科学为依据,构建海上船舶碰撞FDA事故致因模型,从微观到宏观即个体船只、海运企业、海事局3个层面进行安全信息视域下的事故致因分析,通过逻辑推导定位最佳的安全管理方位。研究结果表明:FDA事故致因模型由3条事故子链及1条事故主链构成,能够从微观到宏观完整表达海上船舶碰撞事故发生过程及机理;破坏3条FDA事故子链或FDA事故主链的形成即可有效地预防海上船舶碰撞事故的发生,对促进海上船舶航行安全管理水平的提高具有重要的理论与现实意义。     

Transport risk modeling for hazardous chemical transport Companies—A case study in China

Traffic accidents of hazardous chemical transport vehicles strongly correlate with the operation and management level of road transport companies. An accurate risk assessment of these transport companies will play a critical role in improving their management and supervision and in turn the overall safety of roadways, property, and most importantly people's lives. Therefore, this study constructs a logistic regression scorecard model to evaluate transport risk of hazardous chemical transport companies and evaluates it using a case study in China. This study first selected 16 indicators from the dimensions of driver behaviors, driving performance, dangerous goods and company business operation to construct company user portraits. Next, a K-means++ algorithm was used to cluster the data samples of the companies on a monthly basis. On this basis, a scorecard was constructed based on a logistic regression scorecard model to realize and visualize the monthly risk portrait of companies. The constructed scorecard predicted transport risk of companies accurately. The results show that the more complex the types of dangerous goods transported, the higher the risk value of the company in the dangerous goods index. Moreover, for transport companies, the driver behaviors and driving performance on their trips are closely related to their business risk. In a practical application, the proposed scorecard can realize the dynamic risk monitoring of transport companies and enable managers and supervision departments to clarify where the risk is from. The transport companies can also carry out safety training and rectification for drivers and operations to reduce the occurrence of hazardous materials-related traffic accidents.     

Analysis and control of major accidents from the intermediate temporary storage of dangerous substances in marshalling yards and port areas

This paper deals with the major accident hazards associated with the intermediate temporary storage of dangerous substances in transportation-related activities. In particular, the hazards related to the presence of dangerous substances in port areas and marshalling yards are identified and analysed. Furthermore, a number of past accidents in transport interfaces have been collated from various sources and have been statistically analysed. Finally, the framework for major accident control in these activities is reviewed and discussed.     

危险品的GPS运输监控技术现状分析

频发的危化品运输事故说明,危化品运输环节的技术化监管仍存在重大的漏洞和不足.从分析导致运输事故的原因出发,提出通过建立以GPS定位技术为基础的智能化全程监控危化品的运输系统,并在城市化进程中不断推广,才能降低事故率,营造出持久、稳定、安全的运输环境.     

Understanding factors associated with misclassification of fatigue-related accidents in police record

IntroductionFatigue is one of the riskiest causes of traffic accidents threatening road safety. Due to lack of proper criteria, the identification of fatigue-related accidents by police officers largely depends on inferential evidence and their own experience. As a result, many fatigue-related accidents are misclassified and the harmfulness of fatigue on road safety is misestimated.MethodIn this paper, a joint model framework is introduced to analyze factors contributing to misclassification of a fatigue-related accident in police reports. Association rule data mining technique is employed to identify the potential interactions of factors, and logistic regression models are applied to analyze factors that hinder police officers' identification of fatigue-related accidents. Using the fatigue-related crash records from Guangdong Province during 2005–2014, factors contributing to the false positive and false negative detection of the fatigue-related accident have been identified and compared.ResultsSome variables and interactions were identified to have significant impacts on fatigue-related accident detection.ConclusionsBased on the results, it can be inferred that the stereotype of certain groups of drivers, crash types, and roadway conditions affects police officers' judgment on fatigue-related accidents.Practical applicationsThis finding can provide useful information for training police officers and build better criteria for fatigue identification.     

Risk analysis of LPG transport by road and rail

Historical data concerning more than 130 LPG rail and road transport accidents were critically examined, identifying the scenarios, following their evolution into the final accidental events, and determining their theoretical probabilities of occurrence. In principle, rail accidents are rather hazardous, the most probable scenario being a major release followed by an UVCE. However, in order to discriminate among road and rail transport, the relevant number of trips and accident rates should be taken into account. In fact, the application, concerning the transport of 5700 ton/year of LPG in Italy along one rail and two different road itineraries, showed that the risk for rail transport was more than one order of magnitude lower than that for those on the roads. The population density along the route and the accident rate, rather than the length of the route, appear the most important factors for discriminating between different itineraries.