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31.
为分析电动自行车事故和车牌使用影响因素,采用问卷调查和电话访谈方式采集了宁波市862个电动自行车用户有效样本,利用统计学方法构建了Bivariate Probit(BP)联立方程模型,计算了显著影响因素的边际效应,量化分析了电动自行车事故和车牌使用影响因素效用,并检验了两者之间潜在的关联关系.结果表明:BP模型不仅可以识别电动自行车事故和车牌使用的影响因素,而且可以有效刻画两者之间的潜在联系;两者之间关联系数为-0.475,表明电动自行车车牌的使用可以降低电动自行车事故概率;模型结果显示性别、年龄、驾驶执照、家庭是否拥有小汽车、电动自行车驾龄、法律遵守程度、驾驶行为、危险感知度等具有统计显著性,是影响电动自行车事故和车牌使用的显著因素. 相似文献
32.
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。 相似文献
33.
浅谈如何提高施工中砼路面的抗折强度 总被引:1,自引:1,他引:0
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。 相似文献
34.
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。 相似文献
35.
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。 相似文献
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ABSTRACTThe 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. 相似文献
38.
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. 相似文献
39.
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. 相似文献
40.