责任矩阵在隐患排查治理中的应用

隐患排查治理是企业安全管理的主线,排查治理对象除人的不安全行为、物的不安全状态和不良的工作环境外,更应侧重于管理缺陷。针对目前管理缺陷排查治理方法论研究较少的问题,将项目管理工具—责任矩阵引入隐患排查体系。结合安全管理的特点,建立了隐患排查治理责任矩阵流程和应用准则,并通过某隐患排查治理责任矩阵的建立和应用对该方法进行了验证。研究表明,责任矩阵便于查找隐患背后的管理缺陷,可推动企业由下向上逐步完善安全生产责任制,对持续提升企业安全生产管理水平具有一定指导意义。     

我国石棉的安全性分析及对策研究

石棉作为当今社会应用极为广泛的建筑材料与人们接触密切。我国现在不仅有一百多万人直接从事与石棉相关的行业,而且几乎所有的房屋建筑中都不同程度的使用含有石棉成分的建筑材料。有害石棉纤维一旦进入人体很难去除,并且导致间皮瘤、石棉肺等潜伏期长、治愈率低、死亡率高的多种疾病。正视石棉及其制品存在的安全隐患,正确对待和处理人类与石棉的关系,是实现石棉的可持续利用的保证。本文从石棉的开采、加工、使用、拆除、废弃处理处置等各个环节以及各环节间的运输入手,分析石棉对环境的安全隐患,结合国内外石棉行业的现状,提出符合我国国情的石棉对策建议。     

小型化工企业防火安全现状分析及对策

针对温州市2004年严峻的火灾形势,通过对生产和使用危险化学品的小型化工企业现状分析,提出相应的防火安全对策。     

冶金矿业环境隐患因子识别

本文分析了环境隐患与安全隐患的异同,定义了冶金矿业行业环境隐患的含义,分析了环境隐患与环境事故的关系,提出环境隐患因子识别的原则、范围和方法。根据冶金矿业行业实际生产情况,用LEC法和危险物质辨识方法对冶金矿业环境隐患进行识别,最终指出常见的冶金矿业环境隐患因子。     

广州市城市生态用地空间冲突与生态安全隐患情景分析

生态安全隐患区域的空间检测和获取对城市生态安全保护起到重要的作用。论文利用智能计算模型和空间分析技术,对广州市城市生态用地空间冲突与生态安全隐患进行了多情景模拟和分析。研究表明：① 空间冲突区域主要分布在城市边缘区。在城市生态用地占广州市总面积的15%、30%和50%情景下,分别占空间冲突总面积的95.40%、86.28%和77.45%,白云、花都、天河和番禺是空间冲突发生的主要区域。与之相反,城市核心区冲突区域面积所占比例逐渐增加。在50%情景时,空间冲突区域面积急剧增加,广州市城市生态用地控制指标面临着巨大的空间冲突压力。② 城市生态安全隐患区域主要分布在城市边缘区,在50%情景时,城市边缘区的隐患区域面积占隐患区域总面积的74.13%,白云区和花都区是生态安全隐患区域分布最集中的区域。而位于城市核心区的隐患区域,面临着更大的生态安全压力。研究结果可为城市生态安全的监控和预警提供参考,为城市生态保护提供可借鉴的方法和分析工具。     

运用HSE管理体系加强隐患治理

结合HSE管理体系的要求 ,从隐患治理项目的依据、监督管理的内容、隐患治理过程中应正确处理的几个关系等方面对隐患治理工作进行了论述。     

电缆安全的地理信息系统监管模式

由于地下电缆的隐蔽性、动态性、网络性和多样性,决定了地下电缆信息管理与信息系统开发的复杂性与难度.给出了一种GIS综合安全监管开发模式,以解决数据的可靠性和精度,数据的动态更新等难题,对系统设计进行了较详细的描述.     

沁海煤矿瓦斯重大灾害及生产动态安全状况诊断

按照《煤矿安全规程》2010版制成安全检查表,运用安全检查表法和系统分析的方法对煤矿的主要系统存在的隐患进行逐项诊断,主要诊断矿井的瓦斯抽放系统、矿井的通风系统、矿井的防尘系统、矿井的防灭火系统以及矿井运输提升系统等。诊断主要是针对瓦斯重大灾害及矿井生产过程中违章违规现象以及矿井自然属性带来的系统固有隐患,对矿井中员工的操作规范情况也进行检查,并对存在的隐患和员工的错误操作提出相应的整改措施,促使煤矿及时对矿井存在的系统固有隐患和人为隐患进行整改,以消除在生产动态过程中查出的隐患,从而预防煤矿事故的发生。消灭了事故隐患,实际上也是把事故消灭在萌芽状态之中,达到防患于未然,提高我国煤矿安全生产水平。     

Organization‐specific prosocial helping identity: Doing and belonging as the basis of “being fully there”

Identity theory and social identity theory focus on doing and belonging, respectively, but neither provides a complete picture of being “fully there” at work (Kahn, 1992 ). This three‐wave lagged field study links these two perspectives by proposing that beneficiary‐specific prosocial helping identity, met expectations for prosocial helping, and their interaction predict the strength of a contextualized, organization‐specific prosocial helping identity (OSPHI) targeted at those same beneficiaries and that OSPHI leads to positive employee work outcomes. Results provide strong support for the model and demonstrate that beneficiary‐specific prosocial helping identity had indirect relationships with intent to stay with the organization, experienced work meaning, and emotional exhaustion (negative), via OSPHI, only when met expectations for prosocial helping were weak. We discuss the value of OSPHI as an important construct that reflects the psychological state of “being fully there” at work and predicts subsequent employee work outcomes. Copyright © 2016 John Wiley & Sons, Ltd.     

The measurement of place attachment: Personal,community, and environmental connections

Place attachment has been researched extensively in the social and behavioural sciences over the past two decades. However, it is challenging for researchers to assimilate the mixed messages presented in the place attachment literature and to understand the multiple place attachment terms. In this study, a four-dimensional model of rural landholder attachments to their natural resource management region was conceptually and empirically developed with the aim of developing an integrated approach to the measurement of place attachment that clearly distinguishes between different elements of place scholarship. A 29-item place attachment scale with the dimensions of place identity, place dependence, nature bonding, and social bonding was tested on a random sample of rural landholders in the Adelaide and Mount Lofty Ranges in South Australia (N = 320). The majority of respondents were male (69.3%) and the average age was 59 years. The scale was reduced to 20-items and then administered simultaneously and in the same response format to rural landholders in two other areas of South Australia: the Northern and Yorke region (N = 664) and South Australian Murray-Darling Basin region (N = 659). In both studies, the majority of respondents were male (85%) and the average age was 55 years. Exploratory factor and reliability analyses of Adelaide and Mount Lofty Ranges and Northern and Yorke datasets produced a five-dimensional model of place attachment with high reliabilities. Social bonding divided into the constructs of family bonding and friend bonding. The refined five-dimensional model was then examined for convergent validity, with moderate but significant correlations found between individual attachment constructs and dependent variables expected to be related to the construct, such as place identity and length of residence, and nature bonding and time currently spent in nature. We used confirmatory factor analysis to test the goodness-of-fit of the South Australian Murray-Darling Basin (SAMDB) dataset to the proposed five-dimensional model and then compared its fit to the traditional two-dimensional model of place identity and place dependence. The five-dimensional model provided moderate fit for the SAMDB data. We conclude with a discussion of the validity and reliability of the five-dimensional model and its future role in place attachment research.