新巴拿马型散货船系泊系统推荐布置

针对巴拿马运河扩建后,通航运河的散货船增多,前期建造的散货船由于系泊系统不合要求,不能通过运河的情况,根据巴拿马运河管理局2021年颁布的航运通告对系泊系统的布置要求,对某改造及新造两系列散货船,依次从艏、舯、艉部给出系泊系统的推荐布置,运营结果表明,船舶系泊系统布置方案满足相关规则及船东要求.     

论高校思想政治教育的创新途径

随着我国经济模式的转变,以及以信息化、网络化为重要特征的全球化步伐的加快,高校师生由于所面临的情况、问题更为复杂多变,高校思想政治教育作为社会稳定和健全人格培养的方式,更显重要.但这种新的形势也也给思想政治教育提出了更高的要求,思想政治教育必须探索新的途径,从主导思想、教育内容和教育方式方法上拓宽思路,与时俱进.     

航标技术改造中的风险预测及管理

风险预测及管理是国示航8标界近年来颇为关注的话题。如何在航标管理中引入风险的概念,如何通过风险管理来达到航标建设投入与产出的合理平衡是我们中国航标界人员应仔细思考的问题。本文结合以往在航标技术改造中的一些经验,论述了航标技术改造的风险类型,以及相应的评估指标体系,初步总结了这方面的经验,供参考。     

加强世行贷款项目资金管理降低政府贷款偿债风险

介绍世行贷款对我国经济建设的重要意义及在使用世行贷款项目中存在的问题,并提出降低偿债风险的对策与措施。     

城市公交线路模态工况构建方法研究

采用GPS设备对西安城市公交典型线路的运行工况进行实测,分别运用瞬态转模态方法和多目标优化法构建出城市客车模态工况。以8个特征参数相对误差为标准,对两种方法的精度进行了对比研究。研究表明,两种方法均能有效地完成工况构建,其中多目标优化法精度最高,瞬态转模态方法简单快捷,从而为工况构建方法的选取提供了思路和数据验证。     

一类供应链下游企业合作利润分配机制研究

仅以合作关系作为供应链利润分配机制是与共享原则相悖的,且也无法实现。基于合作利润分配机制应包括的结构要素和运行要素之间的辩证关系,建立了一厂一商的供应链合作利润分配机制的数学模型。通过对该模型的求解,确定了厂商和渠道利润的数学表达式,定量描述了机制结构要素与运行要素之间的“硬件”与“软件”关系,并对它们的变化区域与对各决策变量及利润的影响程度进行了深入的分析,对现行返利系数的应用进行了讨论;构造出了一种较为有效的供应链合作利润分配机制。     

温塘河特大桥主拱拱座基础裂缝成因及防止措施

大跨径拱桥拱座基础属于大体积砼结构工程,在浇筑过程中产生大量水化热,使砼体内与表面形成较大温差,产生热应力,从而导致砼体产生深度不等的裂缝.笔者以重庆渝邻高速公路温塘河特大桥拱座基础的施工技术为例,对大体积砼体内的温度应力进行了分析计算,并提出了防裂措施.     

带超速保护功能的柴油机机旁气动操作系统设计

柴油机控制系统主要有气动控制系统、电-气混合控制系统、微机式控制系统、可编程控制器控制系统等,目前,我国大量船舶上使用的是气动控制系统或电-气混合控制系统,机旁气动操作系统是以上两种控制系统的重要组成部分。本文主要介绍了一种带超速保护功能的柴油机机旁气动操作系统,提高了柴油机旁气动操作系统的安全性。     

The accuracy of proxy responses in a stated choice setting: A re-examination and some controversial conclusions

Data is typically gathered from an individual respondent who represents the group or the household. This individual is often identified as the “primary decision maker” and is asked to provide responses as a proxy for the group given that the cost of interviewing each member individually is impractical and/or expensive. The collection of joint preferences is rarely undertaken, with the use of proxy responses not uncommon in travel behaviour research. Under such a framework, there exists an assumption that the primary decision maker has perfect knowledge of other group member preferences, and bargaining behaviour, and is able to synthesise this information when providing a response on their behalf. The validity of such an assumption however remains an open question, with recent research calling the reliability of proxy responses into account (Bateman and Munro, 2009). In this paper, using three models estimated in willingness to pay space, we examine the accuracy of proxy responses in a stated choice experiment. We find that there is overlap between a proxy response and the own preferences of the individual providing the proxy choice, but while the proxy responses fail to represent the full preference heterogeneity that exists in the actual choices made by individuals, the proxy responses in aggregate provide a suitable replacement for actual data, subject to a number of caveats.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.