矿工安全注意力影响因素的SEM研究

为探索矿工安全注意力的影响因素作用路径,寻求合理的干预对策,在文献研究和实地调研基础上,提取矿工安全注意力的衡量指标和影响因素,借助结构方程模型技术验证研究假设,构建修正后的矿工安全注意力影响因素作用路径概念模型图。研究表明:矿工安全注意力的影响因素,即矿工安全意识、矿工工作疲劳、安全信息刺激以及安全监管对矿工安全注意力的衡量指标,即注意专注度、注意广度以及注意转移度都存在路径关系,而且矿工安全注意力的衡量指标之间也存在路径关系。以期通过有效干预影响因素提高矿工安全注意力,降低人因失误导致煤矿安全事故发生的概率。     

民用机场消防指挥员决策能力分析

为研究民用机场消防指挥员决策能力,根据专家意见及相关规章、文件的规定,筛选出文化素质、身体素质、心理素质等18项影响机场消防指挥员决策能力的要素,并采用问卷调查的方式进行调研。运用SPSS 21.0对问卷进行信度分析、效度分析及因子分析,确定民用机场消防指挥员决策能力指标体系。根据该指标体系构建民用机场消防指挥员决策能力结构方程模型,运用Amos 17.0计算各变量的路径系数,进而得到各指标的权重,避免了人为打分方法确定权重的主观性。研究结果为分析民用机场消防指挥员决策能力提供更加准确、合理、可信的评价方法。     

An Evaluation of the NIOSH Lifting Equation: A Psychophysical and Biomechanical Investigation

Using the results of psychophysical and biomechanical experiments, NIOSH (National Institute for Occupational Safety and Health) Recommended Weight Limit (RWL), the Lifting Index (LI), the form of the asymmetry multiplier, and the criterion for compression force were investigated. Analysis of the results indicated a significant difference between the NIOSH RWL and the reported Maximum Acceptable Weight of Lift (MAWL). Contrary to the NIOSH lifting equation, the form of the asymmetry multiplier was found to be non-linear. The overall average of peak compression force on the L5/S1 was 3685 N. Fifty-eight percent of all compression forces reported in the biomechanical experiment were found to exceed the suggested 3400 N set by NIOSH guidelines. These results support previous research findings on the validity of NIOSH guidelines.     

Will progress in science and technology avert or accelerate global collapse? A critical analysis and policy recommendations

Industrial society will move towards collapse if its total environmental impact (I), expressed either in terms of energy and materials use or in terms of pollution, increases with time, i.e., dI/dt > 0. The traditional interpretation of the I = PAT equation reflects the optimistic belief that technological innovation, particularly improvements in eco-efficiency, will significantly reduce the technology (T) factor, and thereby result in a corresponding decline in impact (I). Unfortunately, this interpretation of the I = PAT equation ignores the effects of technological change on the other two factors: population (P) and per capita affluence (A). A more heuristic formulation of this equation is I = P(T)·A(T)·T in which the dependence of P and A on T is apparent. From historical evidence, it is clear that technological revolutions (tool-making, agricultural, and industrial) have been the primary driving forces behind successive population explosions, and that modern communication and transportation technologies have been employed to transform a large proportion of the world’s inhabitants into consumers of material- and energy-intensive products and services. In addition, factor analysis from neoclassical growth theory and the rebound effect provide evidence that science and technology have played a key role in contributing to rising living standards. While technological change has thus contributed to significant increases in both P and A, it has at the same time brought about considerable eco-efficiency improvements. Unfortunately, reductions in the T-factor have generally not been sufficiently rapid to compensate for the simultaneous increases in both P and A. As a result, total impact, in terms of energy production, mineral extraction, land-use and CO₂ emissions, has in most cases increased with time, indicating that industrial society is nevertheless moving towards collapse. The belief that continued and even accelerated scientific research and technological innovation will automatically result in sustainability and avert collapse is at best mistaken. Innovations in science and technology will be necessary but alone will be insufficient for sustainability. Consequently, what is most needed are specific policies designed to decrease total impact, such as (a) halting population growth via effective population stabilization plans and better access to birth control methods, (b) reducing total matter-energy throughput and pollution by removing perverse subsidies, imposing regulations that limit waste discharges and the depletion of non-renewable resources, and implementing ecological tax reform, and (c) moving towards a steady-state economy in which per-capita affluence is stabilized at lower levels by replacing wasteful conspicuous material consumption with social alternatives known to enhance subjective well-being. While science and technology must play an important role in the implementation of these policies, none will be enacted without a fundamental change in society’s dominant values of growth and exploitation. Thus, value change is the most important prerequisite for avoiding global collapse.

Factors influencing the quality of rural human settlements in a peripheral metropolitan area based on a structural equation model: A case study from Beijing

Rural human settlement is a significant indicator of the living standards of rural residents, and its improvement can contribute to promoting the positive interaction between inhabited environment and the social, economic, and resource environment in the countryside. Based on 557 valid questionnaires of satisfaction evaluation of human settlement in the peripheral metropolitan area of Beijing, this paper analyzed the elemental characteristics and factors influencing human settlement quality using multivariate statistical analysis and a structural equation model. The result shows that, first, the rural residents in a peripheral metropolitan area of Beijing are generally satisfied with the quality of human settlement (satisfaction rate is 66.2%). Specifically, the natural and social environment of the countryside is excellent and harmonious and corresponding standard of countryside infrastructure is advanced, but the quality of public services and follow-up management of facilities are in urgent need of improvement and the imbalance between revenue and expenditure of rural households has led to a continuous increase in the pressures of life. Second, factors such as social atmosphere, appearance of the village, entertainment, living costs, fundamental public services, and production costs have significant effects on human settlement quality in this peripheral metropolitan area, with social atmosphere as the main one. Living costs and supporting services are the main constraints to improvement in the quality of human settlement.     

A Structural Equation Model of Residents’ Support for Mega Event

Abstract

The aim of this article is to develop a structural equation model to assess key factors of residents’ support for hosting mega event based on previous literature. The model consisted of five latent constructs and eight path hypotheses. A survey was conducted in Shanghai before 2010 World Expo. It was found that the support for mega events is affected directly and/or indirectly by four determinants factors: perceived benefits, perceived costs, personal benefits and community attachment, and support relies heavily on perceived benefits rather than costs. This study contributes to the existing body of knowledge in an attempt to understand local residents’ support for a mega event in different economic and cultural settings.     

水华对沉积物中氮的转化和去除的影响

湖泊富营养化和水华暴发已经成为突出的环境问题之一,了解水华对湖泊氮素的转化和去除的影响,对于削减湖泊氮负荷至关重要.本文研究了水华对沉积物中氮转化和氮转化相关功能基因的影响,并采用结构方程模型分析了水华影响湖泊中氮转化和去除的途径.结果表明,与厌氧氨氧化相比,反硝化作用是太湖沉积物氮削减的主要途径,对沉积物中总溶解性氮去除率的解释度为42. 3%.水华可以直接造成沉积物中TDN和TOC量的增加,提高厌氧氨氧化菌、nir S和nir K的基因丰度,并且间接提高沉积物中氨氮和硝酸盐的浓度,通过增强厌氧氨氧化和反硝化过程加速沉积物中氮的去除.     

基于计划行为理论的矿工违章行为研究

矿工违章行为是诱发煤矿重大事故的关键因素之一,以计划行为理论(TPB)为构架,加入过去行为和风险倾向2个变量,提出矿工违章行为影响因素之间的假设关系。通过问卷调查并运用结构方程模型(SEM)探讨违章行为影响因素之间的关系。结果表明:行为态度、主观规范、行为控制认知、风险倾向这4个变量对违章行为均有显著影响,主观规范和过去行为通过行为态度这一中介变量又间接地影响违章行为。实证研究结果表明,TPB模型在解释矿工违章行为问题上的适用性。     

基于结构方程模型的安全生产行政执法绩效分析

为加强对企业安全生产的监督和完善行政执法的评估体系,构建了企业安全生产行政执法绩效评估指标体系。利用调查问卷的方式,获得行政执法部门的绩效评价数据。根据结构方程模型(SEM)相关原理设计绩效评价的测量模型,通过AMOS17.0软件对评价体系进行分析,得到各指标的标准化估计值。利用标准化估计值分析各潜变量对企业安全生产执法的影响权重,各观察变量对企业安全生产执法的影响权重,并进行排序,结果显示:行政执法的合法性>执法人员的素质>执法的合理性>执法的文明性>执法的公开性。     

New approach to calculate the probability of ignition

The probabilistic approach to the evaluation of fire hazard and the effectiveness of fire-precaution measures enables a rational response to the randomness of fire outbreaks. This article employs the statistical analysis methods to elucidate the causes for the ignition of fire on a random sample of industrial buildings in the Republic of Slovenia. The analyses are based on the Structural Equation Modeling (SEM), which is a well established and important statistical analysis technique in the fields of social science, biology, psychology and medicine, but hitherto rarely applied in safety research. The results of the study demonstrate that for the analyzed random sample of industrial buildings the frequency of fire outbreaks statistically significantly depends only on the presence and the probability of exposure to the heat sources (flames, sparks, and hot surfaces), but does not significantly depend on the available quantity of flammable materials within the industrial structure.