Enhancing stated preference surveys in transportation research: the contribution of geographic information systems

In this paper we argue that visualization, data management and computational capabilities of geographic information systems (GIS) can assist transportation stated preference research in capturing the contextual complexity of many transportation decision environments by providing respondents with maps and other spatial and non-spatial information in graphical form that enhance respondents' understanding of decision scenarios. We explore the multiple inherent contributions of GIS to transportation stated preference data collection and propose a framework for a GIS-based stated preference survey instrument. We also present the design concepts of two survey prototypes and their GIS implementation for a sample travel mode choice problem.     

Bi-phasic Simulation of Metal Injection Moulding： Constitutive Determinations

IntroductionMetalinjectionmolding (MIM )isexpectedtobeveryefficienttoproducesmalland 3Dcomplicatedpartsinlargeseries .Thistechnologycombinesthewell knownpolymerinjectionmouldingandpowdermetallurgytechnology .AnMIM processincludesfourmainstages[1,2 ] :them…     

氧化铝陶瓷粉末固相烧结过程模拟

用膨胀计测量了氧化铝粉末注射成形的烧结过程中试件的单轴收缩率和收缩速率,基于试验数据,设计了相应的参数标定算法,用于确定烧结模型中的单轴粘度和烧结应力,以氧化铝人工髋关节植体为例,将该模型和参数引入到有限元软件Abaqus中实现数值模拟,以预测试件在烧结过程中的收缩和变形,结果表明,用标定的参数的模拟结果与试验结果基本吻合。     

Spatial epidemiologic analysis of relative collision risk factors among urban bicyclists and pedestrians

Pedestrians and bicyclists are the victims of countless car crashes in U.S. cities as well as around the world. Yet, many dimensions of their involvement in crashes remain rather poorly known. In this article, we follow a spatial epidemiologic approach to study the relative risk factors of bicycle and pedestrian crashes at the neighborhood level in the City of Buffalo, NY over a two-year period. The analysis examines physical road characteristics such as roadway and intersection functional classes, urban density and type of development—business or residential, as well as socio-economic and demographic variables to identify discriminating risk factors between the two non-motorized transportation modes. The analysis underscores significant differences tied to neighborhood ethnicity, educational attainment and land use, while physical characteristics of the road infrastructure register as marginally discriminating factors. Income related socio-economic status is not found to play a prominent role.     

法国阿尔斯通公司运输部的研究工作与产品开发

介绍了法国阿尔斯通公司运输部在产品研究与开发方面的组织形式、作法、成果及奖励措施。该公司的专项技术中心设在相关的工厂内。