基于新型冠状病毒传播机理的交通出行易感度研究

为科学判断各交通方式出行过程中人群感染病毒的风险概率进而有效控制病毒传播,借助空气传染病模型,根据已发布的新型冠状病毒传播机理,构建了交通出行的病毒易感度评估模型,模型包含对病毒传播有重要影响的通风、载客密度、暴露时间等主要参数。选用各种运输方式中有代表性的运载工具进行不同假设情景下的易感度评估,结果表明,在各种有效防控措施均得以采用的情景下,乘坐交通工具的易感度相比高危情景降低97%以上,相比基准情景降低93%以上。研究可为交通领域的科学防疫、精准施策提供依据。     

基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法研究

针对城市轨道交通PPP融资成本高、投资回收期长、不确定性因素多等特点导致整个融资过程充满风险,且难以进行科学的评价,进而增加风险评价难度的问题,提出基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法。首先从全寿命周期角度构建城市轨道交通PPP融资风险指标体系。然后基于OWA算子对专家决策数据按照降序的方式重新排序,消除极值带来的不利影响,加权得出指标的权重值。最后考虑指标的灰色性、信息不完整性,构建灰色白化权函数实现指标信息的透明化,完成对PPP融资风险的聚类分析。应用构建的模型对郑州地铁1号线一期工程PPP融资风险进行评价,认为该地铁工程PPP融资风险等级高,应重点关注前期策划、社会资本、政策环境、设计质量、成本超支、建设质量、残值7个主要风险指标的控制,以期为该项目融资风险管理提供建议,并进一步丰富城市轨道交通PPP融资风险的评价方法。     

船舶安全性分析技术应用研究

结合船舶设计、使用的特殊性,应用船舶安全性分析方法分析了特种作业船在设计过程总体和系统存在的危险源,评价由此产生的风险水平,并通过采取相应的措施提高了该船的安全性水平.     

建设工程项目施工管理的风险分析及防范

本文针对项目施工管理中存在的主要风险,分析了风险产生的原因,提出了防范风险的建议和对策,以供同行交流讨论。     

基于层次分析法和D-S证据理论的码头风险评估

在码头风险评估过程中,目前常用的方法对风险事件发生的概率和影响上有一些主观的定性分析,带有结论上的模糊性.运用一种层次分析法和证据理论结合的方法可以提高评估的准确性和可靠度,该方法通过层次分析法确定各评估因素的权重,在此过程中用D-S证据理论对专家评分数据进行融合修正,运用D-S证据理论的合成法则确定码头的风险值.将该...     

Predicting queue variability to enable analysis of overload risk

ABSTRACT

Predicting the risk of traffic demands and delays exceeding critical limits at road junctions, airports, hospitals, etc., requires knowing how both mean and variance of queue size vary over time. Microscopic simulation can explore variability but is computationally demanding and gives only sample results. A computationally efficient approximation to the mean is used in many modelling tools, but only empirical extensions for variance in particular situations have been available. The paper derives theoretical formulae for time-dependent and equilibrium variance, believed to be novel and to apply generally to queues covered by the Pollaczek–Khinchin mean formula, and offering possible structural insights. These are applied in an extended approximation giving mutually consistent mean and variance estimates with improved accuracy. Tests on oversaturated peak demand cases are compared with Markov probabilistic simulation, demonstrating accuracy (R^2?>?0.99) for typical random, priority-like (M/M/1) and traffic-signal-like (M/D/1) queues. Implications for risk analysis, planning and policy are considered.     

工程总承包模式下项目业主风险防范探讨

文章结合工程总承包的特点,分析了工程总承包模式下项目业主在项目实施过程中所面临的风险,提出了相应的防范风险的措施。     

Vehicle mass as a determinant of fuel consumption and secondary safety performance

One interaction between environmental and safety goals in transport is found within the vehicle fleet where fuel economy and secondary safety performance of individual vehicles impose conflicting requirements on vehicle mass from an individual’s perspective. Fleet characteristics influence the relationship between the environmental and safety outcomes of the fleet; the topic of this paper. Cross-sectional analysis of mass within the British fleet is used to estimate the partial effects of mass on the fuel consumption and secondary safety performance of vehicles. The results confirmed that fuel consumption increases as mass increases and is different for different combinations of fuel and transmission types. Additionally, increasing vehicle mass generally decreases the risk of injury to the driver of a given vehicle in the event of a crash. However, this relationship depends on the characteristics of the vehicle fleet, and in particular, is affected by changes in mass distribution within the fleet. We confirm that there is generally a trade-off in vehicle design between fuel economy and secondary safety performance imposed by mass. Cross-comparison of makes and models by model-specific effects reveal cases where this trade-off exists in other aspects of design. Although it is shown that mass imposes a trade-off in vehicle design between safety and fuel use, this does not necessarily mean that it imposes a trade-off between safety and environmental goals in the vehicle fleet as a whole because the secondary safety performance of a vehicle depends on both its own mass and the mass of the other vehicles with which it collides.     

卫星定位数据驱动的营运车辆驾驶人驾驶风险评估模型

为了提高营运车辆驾驶人安全管理的精细化水平,合理地评估驾驶人驾驶风险程度,有的放矢地降低高风险驾驶人的事故率,基于卫星定位数据特点及驾驶行为与驾驶风险的相关关系设计26个驾驶行为特征参数。考虑到高速和非高速行驶时相同驾驶行为对驾驶风险的影响区别较大,根据23名营运车辆驾驶人的实测数据有针对性地筛选高速和非高速路段驾驶人风险评估指标,构建营运车辆驾驶人驾驶风险评估指标体系。然后,基于熵权法、独立性权系数法和Spearman相关系数法建立集成赋权法,确定各评估指标的权重。最后,雇佣40名营运车辆驾驶人进行实车试验以验证模型的合理性。结果表明：车辆速度和加速度方面的驾驶行为特征可以用于评估驾驶人的驾驶风险且评估效果较好,驾驶风险评估得分与实际交通冲突次数呈正相关关系,所建立模型可以较为准确地评估营运车辆驾驶人驾驶风险的高低,准确率达到77.50%,该模型在不同地区使用时,准确率存在一定的差异,但在容许范围之内,方法具有较好的鲁棒性。     

Sources and exposure risk of trace elements for traffic policemen in roadside locations

Samples of PM_2.5 and PM₁₀ at four types of roadside location (major road, secondary road, branch road, and expressway) in Tianjin were collected and analyzed in 2015. The average annual roadside PM_2.5 and PM₁₀ concentrations were higher than the national ambient air quality standard (NAAQS: GB3095-2012). The chromium (Cr), manganese (Mn), nickel (Ni), zinc (Zn), arsenic (As), and cadmium (Cd) concentrations in both PM_2.5 and PM₁₀ over four seasons displayed significant differences (p < 0.05). An enrichment factor (EF) analysis revealed that Cd, copper (Cu), Zn, As, Ni, and Pb in PM_2.5 and PM₁₀ mainly originated from anthropogenic sources. A factor analysis (FA) and correlation analysis (CA) revealed that vehicle emissions (exhaust and non-exhaust), soil dust, coal combustion, and industrial emissions were the main sources of roadside PM_2.5 and PM₁₀ in Tianjin. Both the total hazard quotients (total HQ) and the total carcinogenic risk (total CR) for selected elements in PM_2.5 and PM₁₀ were within acceptable limits. The HQ of Pb was higher than for other metals, and it should therefore be given special attention. The CR for traffic policemen was highest for Cr exposure (1.01 × 10⁻⁵ for PM_2.5 and 1.52 × 10⁻⁵ for PM₁₀), followed by As and Ni. A sensitivity analysis showed that the total contributions of the metal concentrations, exposure time (ET), and exposure frequency (EF) accounted for over 50% of the risk for Cr, As, and Ni, suggesting that these metals had the greatest impact on the uncertainty of health risk assessments.