Daily activity and travel sequences of students,faculty and staff at a large Canadian university

This paper examines the activity engagement, sequencing and timing of activities for student, faculty and staff commuter groups at the largest university in the Maritime Provinces of Canada. The daily activity patterns of all university community groups are modeled using the classification and regression tree classifier algorithm. The data used for this study are derived from the Environmentally Aware Travel Diary Survey (EnACT) conducted in spring 2016 at Dalhousie University, Nova Scotia. Results show that there are significant differences in activity and travel behavior between university population segments and the general population in the region, and between campus groups. For example, students participate in more recreation activities compared to faculty and staff. They also take more trips to and from campus, and are more flexible in their scheduling of trips. The insights gained from this study will provide helpful information for promoting sustainability across university campuses, and for development of campus-based travel demand management strategies.     

鲜活农产品物流管理与运作分析

由于鲜活农产品的时效性、分散性,目前国内很少对这类产品物流进行系统研究;鲜活农产品物流的合理发展不仅促进农民经济收入,而且有效引导农村剩余劳动力转移。以寿光市蔬菜物流中心为例,分析了鲜活农产品物流现状和特点,提出了鲜活农产品物流运作模式,同时也为山东省发展农产品物流运作模式提出了建议。     

基于层次分析法与模糊综合评价法的公交线路运行效率研究

运用层次分析法与模糊综合评价法相结合的方法对长沙市公交线路运行效率进行评价,为交通监管部门的决策提供依据。     

适应铁路提速需求推进交通动员发展

铁路提速对我国国防交通动员带来了深刻影响:对铁路动员信息化建设、优化国防交通运输格局、提高铁路快速动员能力和加快专业技术队伍建设等提出了新的要求,应充分发挥动员潜力,全面加强铁路动员指挥网络、铁路军运衔接工程、运输人才队伍和运输保障队伍等方面的建设,完善铁路运输军代体系等运行机制,提升铁路运输动员综合效能。     

The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries

This study investigated the contribution of psychological factors in explaining the choice of transportation mode in six Asian countries. Data were collected from 1118 respondents in Japan, Thailand, China, Vietnam, Indonesia, and the Philippines. The dependent variable was the intention to use one of three modes for work travel after getting a job: car, public transit, or other modes. The explanatory variables were three attitude factors taken from a previous study, including: 1/symbolic affective, reflecting affective motives of travel mode use; 2/instrumental, referring to functional attributes of travel modes; and 3/social orderliness which represents for environmental friendliness, safety, altruism, quietness et cetera. Several logit model estimates were made using the samples from the six countries separately and together. We obtained three main findings. First, attitude variables about the car were all significant determinants for the entire sample from Asian countries. Second, the social orderliness aspect of public transit was a common concern of respondents from developing countries in selecting this mode for work trips. Third, in countries in which the intent to use a car was not very high, attitude factors about the car were found to be significant determinants of the behavioral intention to commute by car but were less significant in countries in which the desire to use a car was high.     

西安地铁1号线运营演练实践与创新

从总体策划、演练准备、演练实施、总结评估等方面系统介绍了西安地铁1号线运营演练实践过程,提炼出演练项目确定、场景设计、演练组织、方案设计、评估模式的创新之处,丰富了城市轨道交通运营演练的实践经验和技术体系,为国内同行提供借鉴与指导。     

基于CVT的混联式电动汽车动力切换平稳性研究

针对四轮驱动越野车提出了一种基于金属带式无级自动变速器(CVT)的混联式结构,其动力切换平稳性是这种混联式电动汽车必须解决的关键技术之一。通过发动机、电机、离合器和CVT的协调控制可以使系统在驾驶员发出加速命令时快速响应以及在模式切换时平稳,这将保证驾驶员在车辆切换过程中没有异常感觉。     

营业线施工应增加有关概算费用的探讨

针对目前铁道部有关加强行车安全的文件与设计概算编制规定不协调的问题,笔者提出了自己的看法.     

公路隧道运营典型风险辨识

为加强对公路隧道运营风险的辨识、改善和优化公路隧道运营安全，降低重大隧道事故对人员伤亡、隧道结构、设备和经济收益的损失，通过隧道事故调研和大数据技术，收集近些年在全国范围内发生的802起公路隧道事故，对公路隧道自身特性和隧道事故的时间、空间、类型、诱因等特征进行分析。研究结果表明： 1)外界因素对隧道事故影响较大，在高温和车流量较大的环境下，事故发生较多； 2)特长隧道和长隧道的事故数远高于短隧道和中隧道； 3)小型车是隧道内发生事故的主要车型，事故原因多是驾驶员违规驾驶，事故类型多为追尾事故； 4)火灾事故的诱因多为车辆自身故障，其中危化品泄露多为易燃液体泄露。     

To fully automate or not? Investigating demands and willingness to pay for autonomous vehicles based on automation levels

We review the literature on the motivators of consumers’ purchasing decisions regarding autonomous vehicles (AVs), focusing on environmental awareness, vehicle types, concerns about accidents, and merits. The willingness to buy (WTB) and willingness to pay (WTP) for AVs have been extensively studied. However, it is imperative to broaden the outlook and consolidate the existing knowledge base. Although the WTB and WTP for AVs have been studied, automation-level preferences have been underresearched. Based on more than 150,000 observations, we construct a choice model and calculate the WTP for each level of automation. Our results show that there is a disparity between people's WTB and WTP according to the automation level. In particular, we find that the coefficients regarding FAVs’ benefits and accidents significantly exceed those related to environmental concerns. Such results indicate that practical benefits and concerns influence AV demand and WTP to a greater extent than environmental awareness. Our model results indicate a disparity between WTB and WTP for AVs that mostly derives from the different types of environmental concerns, concerns about accidents, and perceived benefits from these automobiles. Our results urge policies according to which governments and companies closely examine consumers who exhibit WTB-WTP disparities. Issues relating to demand patterns, WTP, and a suitable policy framework are discussed.