Clarifying multiple-mode decision making in conventional psychological models: A consideration of the influential mechanism of car use's characteristics on the behavioral use of public transportation

The existence of the multiple-mode decision making process challenges the existing psychological theories those predict travel behaviors because the theories were mainly to explain the relationship between travelers' perceived attributes of a targeted mode, not to make choices between modes. A review of related literatures showed a lack of focus on the mechanism of one mode influencing other mode in psychological models. The present study investigates how car-related factors affect the establishment of bus use intention in a psychological investigation. It is hypothesized that single car use factors do not directly influence bus use intention, rather than that; they indirectly influence bus use intention through an overall factor of car use. Results from a dataset of 270 samples investigating three types of daily trips in the Japanese context showed support to the mediating effect of the overall car use factor. As such, an arbitrary inclusion of car-related factors to psychological models of public transportation may not be recommended.     

日本铁道车辆用轴承的开发

介绍了为提高铁道车辆用轴承的安全性、可靠性并延长其寿命而开发的塑料保持架、搭载传感器轴承,以及车辆运动仿真试验机.     

面向船厂管子制造流程的仿真优化

管子生产是造船企业生产组织中的重要的加工环节,其生产计划的制定具有计算复杂性和多约束性的特点。结合仿真与优化算法,首先对船舶管子制造流程详细分析,构建管子生产流水线,并应用Plant-Simulation软件建立仿真模型,对船舶管子生产流水线的瓶颈进行分析,最后应用遗传算法实现生产计划的优化。利用国内某造船厂实际数据进行验证,结果表明该方法能够有效缩短工期。     

J型铺管船法铺管强度影响因素研究

建立了J型铺管船体与系泊系统/管道的计算模型,并对铺管船体及系泊系统/管道进行了完全时域耦合数值模拟,分析了在不同安装预张力、不同方向波浪入射下管道的受力及强度,给实际铺管作业提供了技术参考。     

船舶分段涂装作业实时管理系统设计

分段涂装是船舶涂装中最主要和最基本的一环,应用JAVA、MySQL等技术,设计开发船舶分段涂装作业实时管理系统。文章介绍了该系统的结构、功能、数据信息和相关实现技术。通过运行表明,此系统在提高涂装作业效率,节约涂料成本,改善对分段涂装的实时管理水平上具有明显作用。     

Big data framework for quantitative trading system

Massive trading data are produced in securities market every day. Besides, the amount of relevant social media data is also growing fast. It is a vital problem of making use of these data. Facing on the growing amount of data, using big data framework is a necessary and reasonable method. Then, a big data framework for quantitative trading system is proposed in this paper. In the framework, Apache Spark is chosen as the distributed computing framework to process trading data, and Apache HBase as the distributed database is used to store data. After introducing the whole framework, we discussed data sources and the structure of quantitative trading layer in detail.     

2007年铸造工艺发展新动向

文章介绍了目前常用的真空V法造型、湿砂造型和树脂砂造型的基本原理、工艺过程以及所使用的设备,列举了它们的优缺点和经济的适用范围。针对其各自的特点概述了工艺方法的选择原则以及它们对环境所造成的影响。     

Similarity of the measured NIC of a BioRID II dummy in car-to-car rear end impact and sled experiments

The Japan New Car Assessment Program (J-NCAP) evaluates the performance of cars in terms of protection against whiplash injuries in rear-end collisions. In the test protocol, a simplified triangular acceleration is applied to the sled. This study clarifies whether biofidelic rear-impact dummy II (BioRID II) measurements obtained for simplified triangular acceleration reflect car-to-car rear-end impacts in real-world accidents in Japan. We conducted a car-to-car rear-end impact experiment and a simplified-triangular-acceleration sled test. Our results indicate that the time series of dummy responses were approximately consistent in the two test conditions. The neck injury criterion (NIC) and maximum acceleration of the head and T1 measured using the BioRID II dummy were similar in the car-to-car and sled experiments. This revealed that the J-NCAP test protocol using simplified triangular acceleration reflects the car-to-car rear-end impact experiment using Japanese cars, in terms of the NIC and maximum acceleration of the head and T1.     

Modeling cyclists' facility choice and its application in bike lane usage forecasting

In some circumstances on streets equipped with new bike facilities, cyclists are not interested in using them. Instead, they continue to use shared spaces with pedestrians or motor vehicles. Thus, simply adding a bike facility does not guarantee that cyclists will switch to using it. Owing to the considerable development of bike facilities, the investigation of facility preference, particularly focusing on facility choice forecast, has become increasingly important. This study developed a model for predicting the facility choice of cyclists between on-street facilities (curb, traffic lane, and bike lane (BL)) and off-street facilities (sidewalks). Initially, the optimal model was selected using Bayesian Model Averaging method. Then, it was validated by both internal and external validations. Apart from the aforementioned factors, several other exogenous variables were also found to be significant predictors of bike facility choice, including the width of traffic lanes, existence of real-time stopping vehicle, type of bike, bus stop existence, and in-group cycling. Analysis of the relative importance of predictors indicated that bus stop existence, effective sidewalk width, and type of bike were the potential predictors. A framework for predicting BL usage, if it is present, was also developed. A test for the predictive performance of the application at a real site was carried out. By comparing predicted and actual BL usage figures, the analysis showed good predictive performance. The results of this study can help developers, planners, and designers to adopt reasonable investment decisions as well as better designs in developing new bike facilities.