谈企业安全生产中的人因管理

企业在安全生产中，往往更注重于物因的管理。事实上，在安全事故的致因中，人为因素占据了主导地位。本文浅略地分析了影响人的不安全行为的主要因素，提出了加强人因管理的一些对策。．     

多级模糊综合评判方法在泥石流评价中的应用

介绍了多级模糊综合评判方法在泥石流评价中的应用, 指出了在进行模糊评判的时候,评判因子的选取以及隶属函数的构造应具体结合泥石流自身的特点来进行,并应用此方法对西南某拟建水电站坝址附近泥石流沟危险性做出了评价,评价结果与实际调查结果比较吻合.     

水质灾害成因及控制对策

水质灾害作为灾害的一种具体表现形式,和其它灾害一样能给人类生活带来巨大的负面影响.为规避灾害风险,必须加强对水质灾害成因的研究.详细分析了水质灾害的成因,考察了形成水质灾害的致灾机制;提出了水质灾害的预防措施和灾后的控制策略,同时提出了预测水质灾害的工作方法;最后,总结了今后应该深人研究的重点.     

广东省的地质灾害与防治对策

广东省地质灾害类型多,分布广,频率高,危害大.地震、滑坡、崩塌、地裂缝、地面塌陷、地面沉降和软土地基变形等地质灾害是影响当地经济发展和城乡建设的消极因素.地质灾害的时间分布具有波动性,过去35年来存在两个明显的高发期,分别是1985-1992年和1997年至今;其空间分布具有区域耦合性,地质构造复杂、自然环境恶劣的粤西、粤北低山丘陵区和人类活动剧烈、经济发达的沿海平原地区都是重灾区.地质灾害与自然条件、人类活动关系密切.它们的防治应以防为主,防治结合,将生态与工程措施相结合,并调整人类的经济行为,保持生态环境的平衡.     

地铁运营系统危险有害因素辨识分析

地铁系统发生事故,后果不堪设想。笔者在对国内外63起地铁典型事故分析的基础上,确定了地铁火灾、列车脱轨、拥挤踩踏、中毒窒息、列车撞车等危险有害因素,并对影响事故的后果严重度和发生频率进行了分析,给出了危险度计算查阅赋值表,从而确定了影响地铁运营的危险度,作出了量化分级,同时对可能导致事故的危险有害因素进行了分析,并对危险有害因素的防治对策进行了探讨。     

地震应急的影响因素分析

本文在理论分析、国内外历史震例和救灾案例研究的基础上,同时参照我国的相关政策和法律法规文件,对影响地震应急(包括震前准备和震后应急行动)的因素进行了初步分类,并系统讨论了这些因素影响地震应急的方式、途径和程度.以期为地震应急的理论研究和地震应急的实际工作提供部分补充和指导.     

基于FAHP的黄河中下游灾害系统脆性评价

首次将复杂系统的脆性引用到黄河灾害的研究中,并根据复杂系统的层次结构,采用模糊层次分析法(FAHP)对黄河中下游灾害系统进行了分析.由模糊层次分析法求得了灾害子系统的相对重要度排序向量,找出了极易使黄河中下游系统崩溃的脆性因素.结合黄河中下游的现状,通过对系统必要的脆性分析,为决策者提供重要的参考依据.     

城镇供热管道隐患辨识研究

近年来,因供热管道老化腐蚀、外部自然环境、施工活动等导致的事故时有发生,给居民的冬季供暖造成了严重的危害和影响。本文在分析供热管道自身安全特性的基础上,运用事故树等系统安全分析方法对供热管道隐患进行辨识分析,结合供热管道影响因素明确隐患辨识重点,并针对隐患排查内容及手段等提出对策建议,以支撑供热管道单位更系统、更科学的开展隐患排查治理工作,保障管线的安全运行。     

Driving while impaired by alcohol: An analysis of drink-drivers involved in UK collisions

Objective: Drink-driving represents a critical issue on international organizations’ agendas as one of the key behavioral risk factors in road traffic safety, alongside speed and nonuse of motorcycle helmets, seat belts, and child restraints. Changing road user behaviors regarding these 5 factors is a critical component in reducing road traffic injuries and casualties. The objective of this study is the identification of drivers who are more likely to contribute to crashes in the UK while impaired by alcohol to design targeted drink drive compliance campaigns.

Method: To profile drivers with the factor “impaired by alcohol” assigned in collisions, an extensive data set is used, including all reported injury collisions between 2011 and 2015 in the UK (police records), merged with the Experian Mosaic Database. A multilevel mixed-effects logistic regression is conducted, utilizing the hierarchical nature of the data (drivers within Mosaic types).

Results: Using multilevel mixed-effects logistic regression analysis, the finding is that some driver profiles are more likely to contribute to crashes and are assigned the contributory factor “impaired by alcohol.” Drink-related crashes are more common in some circumstances or for some crash-involved driver groups than others. For instance, alcohol-related crashes are more likely to occur on single carriageways and among males and 25- to 35-year-olds. Drink-drive-related crashes are found to be strongly associated with dark lighting conditions and, more specifically, with late night hours (the interval between 3:00 a.m. and 4:00 a.m. accounts for a third of the drink-drive-related collisions). Using the Experian Mosaic Database which divides the UK population into 66 types based on demographic, lifestyle, and behavior characteristics, the finding is that, among crash-involved drivers, some Mosaic types are significantly more likely (e.g., pocket pensions, dependent greys, streetwise singles) and others are significantly less likely (e.g., crowded kaleidoscope, cultural comfort, penthouse chic) to contribute to a drink-related crash.

Conclusions: The outcome is a more nuanced understanding of drivers contributing to drink-related crashes in the UK. The study concludes by discussing the implications for governments and other interested bodies for better targeting and delivery of public education campaigns and interventions.