基于STAMP-ISM的铁路危险品运输系统风险-事故分析方法*

为预防铁路危险品运输系统事故的发生,采用STAMP-ISM模型分析铁路危险品运输系统风险-事故。首先,利用STAMP模型详细分析事故,得到控制结构的相关安全约束、不充分控制行为及产生原因,以及系统的安全动态变化;其次,采用ISM分析事故致因因素之间的关联关系并划分层级;最后,基于STAMP和ISM分析结果提出系统改进方案。以我国一起匿名夹带事故为背景进行案例研究,结果表明,ISM模型的加入可深入挖掘事故因素间的相互关系,为事故致因因素重要度划分层级,分析结果及建议更具针对性。     

Secondary collisions and injury severity: A joint analysis using structural equation models

Objective: This study aims to investigate the contributing factors to secondary collisions and the effects of secondary collisions on injury severity levels. Manhattan, which is the most densely populated urban area of New York City, is used as a case study. In Manhattan, about 7.5% of crash events become involved with secondary collisions and as high as 9.3% of those secondary collisions lead to incapacitating and fatal injuries.

Methods: Structural equation models (SEMs) are proposed to jointly model the presence of secondary collisions and injury severity levels and adjust for the endogeneity effects. The structural relationship among secondary collisions, injury severity, and contributing factors such as speeding, alcohol, fatigue, brake defects, limited view, and rain are fully explored using SEMs. In addition, to assess the temporal effects, we use time as a moderator in the proposed SEM framework.

Results: Due to its better performance compared with other models, the SEM with no constraint is used to investigate the contributing factors to secondary collisions. Thirteen explanatory variables are found to contribute to the presence of secondary collisions, including alcohol, drugs, inattention, inexperience, sleep, control disregarded, speeding, fatigue, defective brakes, pedestrian involved, defective pavement, limited view, and rain. Regarding the temporal effects, results indicate that it is more likely to sustain secondary collisions and severe injuries at night.

Conclusions: This study fully investigates the contributing factors to secondary collisions and estimates the safety effects of secondary collisions after adjusting for the endogeneity effects and shows the advantage of using SEMs in exploring the structural relationship between risk factors and safety indicators. Understanding the causes and impacts of secondary collisions can help transportation agencies and automobile manufacturers develop effective injury prevention countermeasures.     

Investigating factors influencing drivers' speed selection behavior under reduced visibility conditions

Objective: Driving speed is a major concern for driving safety under reduced visibility conditions. Many factors affect speed selection in low visibility, but few studies have been conducted examining drivers' characteristics, particularly in China. The present study aimed to investigate the correlation between drivers' demographic information, driving ability, and speed choice in low-visibility conditions using a sample of Chinese drivers.

Methods: A self-designed driving ability scale was used to assess driving ability in reduced visibility conditions. The reliability and validity of 306 gathered questionnaires were examined in this article, and a structural equation model (SEM) was built to explore the predictors of drivers' speed selection behavior under reduced visibility conditions and to measure the relationships between various factors.

Results: Age and driving experience have no direct relationship to speed selection behavior in reduced visibility, but the frequency of using expressways and annual mileage are significantly related to the speed on roads that have a speed restriction of 80 or 120 km/h. Under reduced visibility conditions, driving ability has a significant effect on speed selection behavior, and driving skill (DS) is the most influential on speed selection behavior on roads with a speed limit of 120 km/h; otherwise, the effect of risk perception (RP) does not differ by speed choice on 3 roads with different speed limits. Driving speed in good weather also has a positive influence on speed selection behavior in low visibility.

Conclusion: Driving ability is directly associated with speed selection in reduced visibility conditions, and some demographic data indirectly influence speed selection. This study provides useful recommendations for drivers' training programs to reduce casualties from accidents in low-visibility conditions.     

经济新常态下中国矿业供给侧改革发展战略研究

矿业是经济社会发展的基础产业。在当前中国经济进入新常态和矿业长期低迷的形势下,要合理推进矿业供给侧改革,必须理清经济增长、城镇化与矿产资源消费之间的长期关系,需要依次回答:是否存在长期关系,这些关系有什么作用特征,这些作用的变化趋势如何,不同矿产资源是否存在显著的区别,针对这些区别如何提出应对策略。基于上述问题的判断,本文选取9种矿产资源,利用多种方法进行了组合分析。应用脱钩指数刻画了1978—2015年中国经济增长与矿产资源消费的脱钩关系,发现呈现一种周期性的脱钩和复钩过程;选取经济增长、城镇化和任意一种矿产资源消费为变量,建立了VAR模型,揭示各变量间的因果关系,将显著的因果关系分为三种类型,包括循环因果链(三种变量之间存在显著的接替性循环变化的关系,包括煤炭、锌、原铝和钾盐等)、两两互为因果(某两种变量之间存在一种或两种显著的双向交替变化关系,包括原铝、锌、钾盐、石油、精炼铅、精炼镍等)和单向因果(某两种变量之间仅存在一种显著的先后变化关系,包括铁矿石、精炼铜、精炼镍)等;运用脉冲响应函数刻画了上述关系的长期变化趋势,发现矿产资源消费的长期效应的大小及其波动频率有显著差异,大多数矿产可以持续效应10年以上(如煤炭、石油、锌、原铝等消费变动对GDP变动的影响),少数响应仅在5—6年内显著(如铁矿石、钾盐、精炼铅等消费变动对GDP变动的影响),之后效应会逐渐消失。基于此,结合当前实际情况,提出了中国矿业供给侧改革发展战略选择,包括以去产能为抓手、提高资源效率、坚持底线思维、建立政府适当干预下的资源价格形成机制、促进矿业经济创新等政策建议。     

供给侧结构性改革与资源型产业转型发展

由于资源性产品价格形成机制改革长期滞后,加之国有经济占比高,资源型产业普遍市场化程度相对较低,导致供给与需求错配严重,难以适应工业4.0下生产方式和商业模式变革的需要。目前,受经济周期和矿业周期叠加的共同影响,20世纪头十年全球矿业发展黄金期告一段落,国际市场大宗商品价格低位波动,总体需求持续低迷。随着中国经济进入新常态,国内资源性产品供求关系发生了一系列新的变化,迫切需要加快资源型产业转型升级,从而更好地满足加速工业化和城镇化的要求。本文在供给侧结构性改革的背景下,分析资源型产业转型发展的动因及其面临的障碍,指出经济下行导致资源领域供给与需求的矛盾进一步凸显,在国家继续严格实行强制性节能减排的情况下,主要能源和矿产品消费规模有可能提前达峰,这有助于实现中国向国际社会承诺到2030年碳排放总量达标的承诺。同时,由于在资源型产业"去产能"过程中,僵尸企业处置、人员安置等方面仍面临诸多方面的障碍和制约因素,资源领域淘汰落后产能不可能一蹴而就,甚至会出现多轮反弹,进一步增加了行业推进供给侧结构性改革的阻力和风险。在以上结论基础上,本文设计资源型产业转型发展的路径,提出加快绿色化、智能化转型,推动资源型产业与非资源型产业融合发展的转型路径。本着"有进有退、以退促进"的原则,发挥市场机制在配置资源中的决定性作用,促进有效市场与有为政府更加兼容,建立完善进入衰退阶段的资源型产业有序退出的机制,切实降低供给侧结构性改革的社会成本。     

含氯苯酚类化合物结构表征与毒性预测

将有机化合物中的不同非氢原子及非氢原子之间的关系参数化得到新的结构描述符,运用该描述符对部分含氯苯酚类化合物分子结构进行了参数化表征。采用偏最小二乘回归(PLS)方法构建了化合物结构与毒性(-lg IC50)之间的关系模型,模型的建模相关系数(R2)为0.948,"留一法"交互检验的相关系数(Q2)为0.922,标准偏差(SD)为0.184。结果表明结构描述符能较好地表征化合物分子结构特征,所建模型稳定性好、预测能力强,对于酚类化合物QSAR研究具有一定的参考价值。     

结构性和相对密度对南京细砂抗液化强度的影响

结合南京长江四桥工程场地的液化试验结果,分析了相对密度和结构性对南京细砂抗液化强度的影响:重塑南京细砂的抗液化强度与相对密度具有较好的一一对应性,且随着相对密度增大而增大;结构性的存在使南京细砂原状砂样比重塑砂样具有更高的抗液化强度,但随着循环荷载的减小和振动作用次数的增加,两者的抗液化强度逐渐接近;由于结构性的影响,不同相对密度的原状南京细砂的抗液化强度有可能相同。     

GIS支持下的河网密度提取及其在洪水危险性分析中的应用

流域结构特征包含着丰富的洪水危险性信息。本文主要分析流域结构特征的一个重要指标－河网密度与洪水危险性之间的关系,并重点探讨了GIS支持下的河网密度自动提取方法,最后给出了辽河流域的实例分析。     

分子连接性指数(mJ)与有机物毒性的相关性

定义原子特征值δ     

烟气脱硫吸收塔总体结构计算方法

研究了火电厂烟气脱硫吸收塔总体结构,分析了吸收塔各种荷载对结构计算的影响,运用国内有关标准规范计算吸收塔壳体厚度,为脱硫行业吸收塔的总体结构计算提供参考。