The potential of vehicle and road infrastructure interventions in fatal bicyclist accidents on Swedish roads—What can in-depth studies tell us?

Abstract

Objective: The objective of this article is to describe the characteristics of fatal crashes with bicyclists on Swedish roads in rural and urban areas and to investigate the potential of bicycle helmets and different vehicle and road infrastructure interventions to prevent them. The study has a comprehensive approach to provide road authorities and vehicle manufacturers with recommendations for future priorities.

Methods: The Swedish Transport Administration’s (STA) in-depth database of fatal crashes was used for case-by-case analysis of fatal cycling accidents (2006–2016) on rural (n?=?82) and urban (n?=?102) roads. The database consists of information from the police, medical journals, autopsy reports, accident analyses performed by STA, and witness statements. The potential of helmet use and various vehicle and road infrastructure safety interventions was determined retrospectively for each case by analyzing the chain of events leading to the fatality. The potential of vehicle safety countermeasures was analyzed based on prognoses on their implementation rates in the Swedish vehicle fleet.

Results: The most common accident scenario on rural roads was that the bicyclist was struck while cycling along the side of the road. On urban roads, the majority of accidents occurred in intersections. Most accidents involved a passenger car, but heavy trucks were also common, especially in urban areas. Most accidents occurred in daylight conditions (73%). Almost half (46%) of nonhelmeted bicyclists would have survived with a helmet. It was assessed that nearly 60% of the fatal accidents could be addressed by advanced vehicle safety technologies, especially autonomous emergency braking with the ability to detect bicyclists. With regard to interventions in the road infrastructure, separated paths for bicyclists and bicycle crossings with speed calming measures were found to have the greatest safety potential. Results indicated that 91% of fatally injured bicyclists could potentially be saved with known techniques. However, it will take a long time for such technologies to be widespread.

Conclusions: The majority of fatally injured bicyclists studied could potentially be saved with known techniques. A speedy implementation of important vehicle safety systems is recommended. A fast introduction of effective interventions in the road infrastructure is also necessary, preferably with a plan for prioritization.     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.     

氢安全研究现状及面临的挑战

氢能具有储运便捷、来源多样、洁净环保等突出优点,许多国家把发展氢能作为重要的能源战略。氢安全是氢能大规模商业化应用的重要保障。在分析国内外氢安全领域近年来最新研究进展的基础上,依次从氢泄漏与扩散、氢燃烧与爆炸、氢与金属材料相容性及氢风险评价等方面,系统总结了国内外氢安全研究面临的挑战,并对我国氢安全的发展提出了建议。     

城市电力供应系统公共安全风险评估体系及应用

城市电力供应系统与城市公共安全关系紧密，文章分析了导致城市电力供应系统故障或事故的主要风险因素、事故类型及其风险程度，建立了城市电力供应系统公共安全风险评估体系。利用建立的风险评估体系，对某市电力供应系统的安全性进行了风险评估，同时验证了该体系在城市电力供应系统风险评估中的良好适用性。     

驾驶员风险认知能力对交通安全的影响

为辨别不同驾驶员风险认知能力对驾驶安全的影响。通过设置13种存在潜在风险的交通情景,引入惩罚用时机制,利用驾驶模拟器,对熟练驾驶员和非熟练驾驶员在风险认知培训前后的风险认知能力进行比较,找出不同驾驶员对风险认知的差异。试验结果显示,熟练驾驶员的风险认知能力比非熟练驾驶员要高,两者在引起交通风险的因素上是不同的,培训后的风险认知能力较之前有很大提高。培训能够拓宽驾驶员对潜在风险的认知程度,更好地将驾驶员的操作技能、知识体系和外在行为衔接在一起,从而减少交通事故的发生。     

挥发性有机物污染场地挖掘过程中污染扩散特征

我国城市工业污染场地主要受挥发性及半挥发性有机污染物(VOCs/SVOCs)的污染.挥发性有机污染物挥发性大,在环境中容易迁移,土壤被挖掘和扰动时,土壤中VOCs很容易形成短时间内的相对较高浓度释放;如果施工人员没有进行适当防护,极易产生健康危害.本研究通过现场快速监测与采样管采样技术相结合,研究污染场地修复开挖过程中气态污染物的分布规律.监测结果表明,在场地开挖的主导风向上,气态污染物浓度分布随距离而下降,并呈现波峰和波谷交替出现的特征.监测结果可以用多个高斯烟团的叠加来拟合.本研究结合工业场所职业健康与安全有关限值,推导污染土壤修复开挖现场安全区域划分的方法,并提出相应分区的个人安全防护响应措施.     

由德国实验室的安全设施引发的思考

德国对实验室的安全问题相当重视,实验室内安全设施齐全,气罐使用管理严格,工作人员安全意识高,废弃物处置规范。与之相比,江苏省监测系统的实验室在安全重视程度上还存在差距,在安全设施的配备、管理及宣传等方面均有待改进。建议加强实验室安全设施建设,以德国先进经验为抓手,重点从提高安全意识、改造通风系统、规范有毒有害废弃物的处置等方面着手,切实改进实验室的安全问题,为建设现代化的实验室奠定基础。     

化学品分类管理策略与安全预警机制的建立

从全球化学品统一分类和标签制度（GHS）背景出发,结合GHS中化学品危险性分类及国内外化学品分类管理的实际情况,提出了适用于分类管理的19个危险化学品类别及化学品分类管理的整体思路;从分类别管理角度提出分类管理的重点为物理危害的11个类别,健康危害的2个类别,环境危害的1个类别;从管理环节角度提出分类管理的重点是生产、使用、储存、运输环节。在此基础上,进一步提出基于危险化学品登记数据建立安全预警机制的策略。     

TPM设备管理模式在安全管理工作中的应用

介绍了TPM管理理念和方法。探讨了这一模式在人、物、环境系统安全管理方面的具体应用,以及取得的效果。     

基于改进RPS的共因失效模型及在安全仪表系统中的应用研究

基于安全仪表系统共因失效机理的定性分析,在单一冲击下的RPS模型基础上,以泊松分布作为冲击的先验分布,建立了多冲击下考虑共因失效的安全仪表系统可靠性模型;采用基于专家经验和估计的方法,对模型参数进行估计;并通过定量分析确定出影响系统共因失效的最大冲击因子,为降低系统共因失效对可靠性的影响提供辅助决策支持。将改进的多冲击RPS模型的可靠性分析结果与β模型和PDS模型进行比较,验证了该模型的工程准确性。