弹道导弹预警系统作战效能扰动因素分析及对策

从弹道导弹预警系统作战效能衡量的四个标准入手,分析了扰动弹道导弹预警系统作战效能的诸多因素,提出了相应对策,为充分发挥弹道导弹预警系统作战效能提供了对策依据。     

浅谈如何提高施工中砼路面的抗折强度

抗折强度是反映水泥混凝土路面强度的主要指标,是衡量水泥混凝土路面质量的重要指标。也是水泥混凝土路面质量控制的难点所在。从水泥质量、骨料、配合比设计、施工、养生等方面对如何提高水泥混凝土路面抗折强度作简浅剖析,恳请各位同行指教。     

水上交通安全宏观分析

分析了水上交通安全和宏观因素的关系,指出了进行水上交通安全宏观定量分析的可行性和存在的问题,结合目前宏观水上交通安全分析和评价的研究现状,提出了可行的研究方向。     

影响企业家薪酬的关键因素分析

随着我国市场经济体制的建立和国有企业改革的深入,企业家逐渐代替政府官员成为经济的主导角色。体制的转型和变革使得原有的企业家激励约束机制呈现出种种弊端,对企业家激励约束机制的变革成为当前国有企业改革的重点之一。结合我国企业实际情况,系统地分析影响企业家薪酬的基本因素,从而为构建企业家报酬结构模型和确立企业家薪酬模式奠定基础。     

软土地基钻孔灌注桩受力性状分析

通过对冲孔灌注桩和旋挖灌注桩桩顶、桩端沉降量静载试验资料及桩身应力应变测试资料的分析,得出桩身荷载传递机理及不同施工工艺在不同荷载水平下桩的受力性状差异.并就影响桩侧摩阻力的因素进行深入探讨.这一研究表明:桩周土的性质、桩土相对位移、桩端沉渣、成孔时间、护壁清孔方式及加载反力装置均会对单桩极限承载力产生重要影响.     

Critical success factors of supply chain integration in container shipping: an application of resource-based view theory

ABSTRACT

The container shipping industry is receiving growing attention in driving the performance of global supply chains. This phenomenon has accelerated supply chain integration (SCI) within the industry. Although SCI could offer numerous benefits, it is often quoted to be implemented easier in theory than in practice. The high failure rate that is associated with SCI is often not addressed in the literature. Grounded on resource-based view (RBV) theory, this paper is aimed at identifying the critical success factors (CSFs) and examining their influence on SCI and supply chain performance (SCP). Survey questionnaires were administered on 164 container shipping firms. The constructs were validated empirically using confirmatory factor analysis and were subsequently analysed using structural equation modelling. The proposed CSFs in this study are found to be positively corelated with SCI, which, in turn, is positively correlated with SCP. This paper has contributed to both theory and practice by applying RBV theory to identify the key resources and capabilities that are necessary for SCI in the container shipping industry.     

Incorporating human-factors in car-following models: A review of recent developments and research needs

Over the past decades there has been a considerable development in the modeling of car-following (CF) behavior as a result of research undertaken by both traffic engineers and traffic psychologists. While traffic engineers seek to understand the behavior of a traffic stream, traffic psychologists seek to describe the human abilities and errors involved in the driving process. This paper provides a comprehensive review of these two research streams.It is necessary to consider human-factors in CF modeling for a more realistic representation of CF behavior in complex driving situations (for example, in traffic breakdowns, crash-prone situations, and adverse weather conditions) to improve traffic safety and to better understand widely-reported puzzling traffic flow phenomena, such as capacity drop, stop-and-go oscillations, and traffic hysteresis. While there are some excellent reviews of CF models available in the literature, none of these specifically focuses on the human factors in these models.This paper addresses this gap by reviewing the available literature with a specific focus on the latest advances in car-following models from both the engineering and human behavior points of view. In so doing, it analyses the benefits and limitations of various models and highlights future research needs in the area.     

Development and evaluation of a statistically reliable traffic counting program

This paper reviews the existing procedures to compute the seasonal factors, growth factors, and the number of automatic traffic recorder stations (ATRs) for developing a statistically reliable traffic counting program. The review is based on, (i) theoretical evaluation of the procedures, (ii) analysis of the results obtained from applying these procedures to extensive real life data, and (iii) experience of past researchers with these methods. The paper primarily deals with existing statistical procedures for determining seasonal factors, since it is believed that these factors play the most important role in estimating Annual Average Daily Traffic (AADTs) from short counts. The procedure of cluster analysis (which is most commonly used to determine seasonal factors) is critically reviewed. The shortcomings of this method motivated the development of a different statistical procedure, based on regression analysis, to determine seasonal factors. It is shown that this newly developed method gives better results than the cluster analysis techniques. Furthermore, separate sections are dedicated to a thorough analysis of determination of number of ATR stations and computation of growth factors.     

公路建设项目中降雨因子对土壤流失量的影响分析

降雨因子对水土流失量起着决定性的作用。通过在汉十高速公路上设置实验小区，用径流小区法进行了水土流失监测，并根据数理统计原理，对水土流失量及降雨量的数据进行分析，建立回归方程，研究了降雨因子与水土流失量之间的关系，并对其结果从溅蚀和径流冲刷两个方面进行了理论分析。     

二灰稳定低液限粉土底基层性能研究

结合子洲~靖边高速公路4个合同段低液限粉土的情况,分别采用试验和理论分析的方法,对该地区广泛存在的低液限粉土底基层稳定性能进行了系统研究。首先对低液限粉土稳定土进行了物理、力学性质试验,取得了基本的研究参数。然后通过分析当前常用的路面底基层稳定土方案,对该地区的低液限粉土提出了稳定加固方案,并分析了加固机理和影响因素。