Determinants of safety priorities in transport – The effect of personality,worry, optimism,attitudes and willingness to pay

Much research within risk has investigated risk perception and how risk behaviour is understood by the public. One goal of risk research is to understand how people perceive and interpret risk to facilitate safe behaviour. This is seen as important for many different reasons, one being because policy measures might be more effective when they address and understand individual differences in beliefs and perceptions of a target group (Steg, L., Sievers, I., 2000. Cultural theory and individual perceptions of environmental risks. Environment and Behavior 32 (2), 250–269). The main aim of this study was to investigate what is most important in regard to safety priorities. Three personality assets – anxiety, excitement-seeking and trust – were first examined. Further factors were driver optimism, worrying about transport risks, willingness to pay to increase safety, and negative attitudes toward traffic rules (as a driver). The results are based upon two questionnaire surveys carried out among a representative sample of the Norwegian public in 2004. The results showed that worry was the most important predictor of safety priorities. In addition, negative attitudes towards rules were also found to have an impact on priority. The proposed model explained 44% of the variance of safety priority. This knowledge gives additional information to improve the success of interventions because it will develop the ability to target those who consider safety to be of low priority and guide them to modify their attitudes. This may in turn increase their value of safety.     

Practical safety management for small or medium enterprises

The article is intended for those who are not safety professionals but are responsible for safety management in a small or medium enterprise (SME) of the process industry. It assumes that a SME is loosely coupled and of low complexity and has a small number of major hazards present in it. The article describes Elementary Safety Management (ESM) as a combination of activities that maintain openness to safety impulses with Elementary Risk Control (ERC). ERC uses four milestones and three rules to get to the necessary and sufficient selection of control measures, which will achieve an acceptable level of risk. To make the ESM scheme as simple as possible, the term causal event is used, which is derived from the term causal factor. Practical Safety Management (PrSM) adds to the ESM the knowledge and skills that a person, who is supposed to design and implement a safety management system, needs. The PrSM procedure is developed to identify optimum controls. The procedure recognizes the unavoidable role of commitment to safety, respects the role of hazard identification, and integrates prospective and retrospective analyses and current knowledge of safety management systems. Examples of application of the procedure are given in the article.     

Railway safety climate: a study on organizational development

The safety climate of an organization is considered a leading indicator of potential risk for railway organizations. This study adopts the perceptual measurement–individual attribute approach to investigate the safety climate of a railway organization. The railway safety climate attributes are evaluated from the perspective of railway system staff. We identify four safety climate dimensions from exploratory factor analysis, namely safety communication, safety training, safety management and subjectively evaluated safety performance. Analytical results indicate that the safety climate differs at vertical and horizontal organizational levels. This study contributes to the literature by providing empirical evidence of the multilevel safety climate in a railway organization, presents possible causes of the differences under various cultural contexts and differentiates between safety climate scales for diverse workgroups within the railway organization. This information can be used to improve the safety sustainability of railway organizations and to conduct safety supervisions for the government.     

基于随机森林的高速公路运营隧道风险判别法则研究*

为快速、准确识别山区高速公路隧道不同区段风险因素组合,基于交通事故调研数据,分析其时空变化规律;从人-车-路-环境角度系统筛选风险影响因素,采用随机森林理论构建风险等级预测模型;以决策树与规则相互关系为基础,结合自变量重要评分法,提出基于随机森林的高速公路运营隧道风险判别法则。研究结果表明:判别法则集预测精度较好且运行时间短,能够明确高速公路不同隧道区段事故成因,为预防隧道严重交通事故发生提供参考。     

Traffic rules and traffic safety

In the present paper the effects of traffic rules on driver behaviour and on traffic safety are discussed. The discussion is mainly based on research conerning driver’s use of safety equipment, their speed adjustment and drunken driving with respect to safety potential, effects of the rules, and effects of enforcement on driver behaviour. Factors influencing drivers’ decisions to comply with rules are also considered. It is concluded that only rules that are possible to enforce should be implemented and that police surveillance should be visible to the drivers. Also, the traffic system should be seen as a social system where drivers are interacting with other drivers and road users. Rules and regulations are important to help the actors of the system to function in a safe and effective way.     

铁路专用线危险货物运输安全指标属性约简研究

为了对铁路专用线危险货物运输安全性进行科学合理的评价,系统分析了铁路专用线危险货物运输特征及影响因素,从“人、机、路、管”角度出发,构建了涵盖资质管理、安全设备设施、运输设备设施、安全管理4个层面的铁路专用线危险货物运输安全评价体系。针对指标间存在的冗余性问题,采用基于改进区分矩阵的粗糙集属性约简算法对评价体系进行精简,并以成都铁路局某条危险货物专用线进行实例研究。结果表明:托运人资质、安全监控系统等10项指标为属性约简后的重要风险因素。     

城市土地使用安全规划的方法与内容探讨

本文分析了几起与土地使用安全规划相关的重大事故案例,简要介绍了国内外土地使用安全规划的法律、法规要求,论述了安全规划的方法和风险标准,提出了我国城市土地使用安全规划的主要内容和程序,研究分析了安全专项规划和城市功能区安全治理规划的基本要求.     

安全工程专业课程体系优化研究

基于安徽理工大学安全工程专业课程体系,提出"2+2"培养模式下"安全技术与管理"方向课程体系存在的问题及其原因,包括课程内容的重复性,课程设置未突出特性培养和课程设置未突出时代性等。提出从按照全国工程教育专业认证指导思想整改,避免课程知识体系过多重复,通才教育的基础上突出自身专业特点以及按照国家的方针政策来指引方向等四个方面阐述了解决课程体系存在的相关问题,优化课程体系,来体现安全工程专业人才培养的国际性、科学性、市场性和全面性等特点。     

Safety compliance and safety climate: A repeated cross-sectional study in the oil and gas industry

IntroductionViolations of safety rules and procedures are commonly identified as a causal factor in accidents in the oil and gas industry. Extensive knowledge on effective management practices related to improved compliance with safety procedures is therefore needed. Previous studies of the causal relationship between safety climate and safety compliance demonstrate that the propensity to act in accordance with prevailing rules and procedures is influenced to a large degree by workers' safety climate. Commonly, the climate measures employed differ from one study to another and identical measures of safety climate are seldom tested repeatedly over extended periods of time. This research gap is addressed in the present study.MethodThe study is based on a survey conducted four times among sharp-end workers of the Norwegian oil and gas industry (N = 31,350). This is done by performing multiple tests (regression analysis) over a period of 7 years of the causal relationship between safety climate and safety compliance. The safety climate measure employed is identical across the 7-year period.ConclusionsTaking all periods together, the employed safety climate model explained roughly 27% of the variance in safety compliance. The causal relationship was found to be stable across the period, thereby increasing the reliability and the predictive validity of the factor structure. The safety climate factor that had the most powerful effect on safety compliance was work pressure.Practical applicationsThe factor structure employed shows high predictive validity and should therefore be relevant to organizations seeking to improve safety in the petroleum sector. The findings should also be relevant to other high-hazard industries where safety rules and procedures constitute a central part of the approach to managing safety.     

安全管理系统工作平台建设与应用实践

为了规范管理工厂安全制度文件体系,完善企业的安全管理制度,在对商业化安全管理软件分析的基础上,该文设计开发了适合自己企业的安全管理系统工作平台．其构架主要由综合设计、规章制度管理、审核检查管理、安全活动管理、安全资料、职业健康法律法规等九个模块构成,并对主要的三个模块进行了详细地介绍。这个平台系统设计和实施过程,促进了企业安全生产制度体系的整理和完善,为提高企业安全生产管理水平提供了又一种新的技术保障手段。     

基于情景构建的公共安全风险沟通策略研究

为解决我国公共安全风险沟通中存在的“平时风险沟通缺位、战时危机沟通失灵”的问题,探索1种基于情景构建的风险沟通策略。在分析情景构建和风险沟通的技术框架关联性的基础上,发现情景构建既可以扩展为相关方风险沟通的扁平化组织模式;又可以为相关方的风险沟通过程提供模式化的聚焦载体,即情景（风险规律）、任务（责任定位）和能力（能力评估）;实现风险信息共享、危机规律分析、最坏后果推演和基于既有能力的措施研究;以LG化工园区情景构建为例对风险沟通策略进行诠释。结果表明:情景构建是适合我国公共安全风险沟通的有效策略。     

Omnidirectional safety culture analysis and discussion for railway industry

On the basis of literature relevant to safety culture and investigation of the Taiwan Occupational Safety and Health Management System (TOSHMS), the Omnidirectional Safety Culture Model (OSCM) was proposed in which a questionnaire composed of 18 safety dimensions was developed and used in safety culture evaluation. This questionnaire was reviewed by a focus group of employees with various backgrounds and was revised accordingly. Questionnaire items were selected and amended by considering the suggestions of experts; the Taiwan railway industry was surveyed as the questionnaire subject; and the current safety culture of the railway industry was extensively investigated. It was determined the railway employees place a higher emphasis on safety awareness and attitude as well as safe behavior, leading to the conclusion that they recognize the importance of safety and value human life over other matters. However, railway employees also believe that procurement management; safety encouragement and punishment; and safety rule have more room for improvement.     

Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology

IntroductionAnalyzing key factors of motorcycle accidents is an effective method to reduce fatalities and improve road safety. Association Rule Mining (ARM) is an efficient data mining method to identify critical factors associated with injury severity. However, the existing studies have some limitations in applying ARM: (a) Most studies determined parameter thresholds of ARM subjectively, which lacks objectiveness and efficiency; (b) Most studies only listed rules with high parameter thresholds, while lacking in-depth analysis of multiple-item rules. Besides, the existing studies seldom conducted a spatial analysis of motorcycle accidents, which can provide intuitive suggestions for policymakers. Method: To address these limitations, this study proposes an ARM-based framework to identify critical factors related to motorcycle injury severity. A method for parameter optimization is proposed to objectively determine parameter thresholds in ARM. A method of factor extraction is proposed to identify individual key factors from 2-item rules and boosting factors from multiple-item rules. Geographic information system (GIS) is adopted to explore the spatial relationship between key factors and motorcycle injury severity. Results and conclusions: The framework is applied to a case study of motorcycle accidents in Victoria, Australia. Fifteen attributes are selected after data preprocessing. 0.03 and 0.7 are determined as the best thresholds of support and confidence in ARM. Five individual key factors and four boosting factors are identified to be related to fatal injury. Spatial analysis is conducted by GIS to present hot spots of motorcycle accidents. The proposed framework has been validated to have better performance on parameter optimization and rule analysis in ARM. Practical applications: The hot spots of motorcycle accidents related to fatal factors are presented in GIS maps. Policymakers can refer to those maps straightforwardly when decision making. This framework can be applied to various kinds of traffic accidents to improve the performance of severity analysis.     

Assessing safety management systems

Traditionally, both academe and practitioners have tended to address fire safety by focusing on technical aspects and looking for the immediate causes of fire incidents or accidents after they have taken place. More recently, organisations have focused on assessing the consequences of the fire risk inherent in their operations pro-actively. However, fire safety still tends to be addressed in isolation, though fire loss is an emergent property. An organisation's emergent property results from the interrelated activities of people who design it, manage it and operate it. There is still a need for a systemic approach to understand the systemic nature of fire safety. This paper describes a fire safety management system (FSMS) model that aims to maintain fire risk within an acceptable range in an organisation's operations in a coherent way. This systemic approach can be used as a diagnostic tool to assess the effectiveness of existing safety management systems (SMS). It is hoped that this approach will lead not only to more effective management of fire safety, but also to more effective management of safety, health and the environment for any organisation.     

铁路行车事故救援智能辅助决策系统研究

介绍了铁路行车事故救援智能辅助决策系统的设计及实现。采用产生式规则与数据库技术相结合的铁路行车事故救援决策知识表示方法。推理过程为正向推理。决策树分层分类并嵌入数据库。该系统可在行车事故现场以人机交互方式提供一个或几个救援方案。为铁路行车事故救援决策提供了一种新的途径与范例。并为人工智能在新的工程领域的应用进行了有益的尝试     

铁路调度集中系统安全策略的研究

随着我国铁路调度集中系统的不断建设 ,系统的安全性问题日益突出 ,对于系统安全问题的研究 ,不仅关系到铁路的安全运营 ,更关系到铁路行业的安全形象。笔者通过对调度集中系统的研究 ,针对系统规模大、联动性强、安全问题多的特点 ,重点从安全管理和安全技术两方面进行分析 ,根据分析结果 ,提出了适合系统的安全策略 ;并对系统安全策略的两方面即安全管理策略和安全技术策略 ,分别进行了详尽的阐述 ;依据此安全策略 ,初步设计铁路运输调度指挥管理信息系统 (DMIS)的安全防护体系 ;并依照安全策略 ,对某铁路分局的调度指挥管理系统进行了设计和实施 ,有效地解决了DMIS的安全问题     

System safety assessment using safety entropy

Safety assessment has a primary role in hazardous operations. Most studies on safety assessment focus on risk and accident modeling, in which safety is absent. These top-down methods are highly dependent on the occurred accidents to establish accidental scenarios, which may make the assessment approach lagging behind the evolving modern systems. Moreover, this “special to general” logic is scientifically suspect in safety assessment. There is a call for the development of safety assessment methods in the presence of system safety to complement risk-focused safety analysis. These methods should provide a framework based on a bottom-up approach to examine system safety from the operational perspective. This paper has attempted to provide a potential solution. In particular, a novel concept of safety entropy is proposed to integrate with The Functional Resonance Analysis Method (FRAM), which is used to form the qualitative understanding of a system. A formula consisted of safety entropy, functional conformability, and system complexity has been established to determine the spontaneity of the safety state-changing process. The proposed method is applied to the safety assessment of a propane feed-control system. The results show the applicability of the method. Nevertheless, the model still needs to be further improved to fulfill better support for safety-related decision problems.     

基于安全行车的高速铁路夕发朝至列车开行方案编制优化

针对京广高速铁路,研究基于安全行车的夕发朝至旅客列车开行方案优化问题。结合目前已有研究成果,对单线行车、转线2次、转线1次、等线运行四种开行模式适应性和安全性进行分析。分析列车运行径路,在安全行车、运行时间与停站要求的约束下,确定列车开行模式,以最佳旅行时间为目标函数,建立数学模型,得出优化的夕发朝至列车开行方案。根据开行方案和现有运营经验分析列车运行条件,提出高速线采用(8~10)min追踪间隔,既有线采用(10~12)min追踪间隔,速度系数为0.8,以最大化利用通过能力为目标,编制符合实际条件的列车开行方案。