Exploring the role of social capital influence variables on travel behaviour

This paper explores the potential role of individual trip characteristics and social capital network variables in the choice of transport mode. A sample of around 100 individuals living or working in one suburb of Madrid (i.e. Las Rosas district of Madrid) participated in a smartphone short panel survey, entering travel data for an entire working week. A Mixed Logit model was estimated with this data to analyze shifts to metro as a consequence of the opening of two new stations in the area. Apart from classical explanatory variables, such as travel time and cost, gender, license and car ownership, the model incorporated two “social capital network” variables: participation in voluntary activities and receiving help for various tasks (i.e. child care, housekeeping, etc.). Both variables improved the capacity of the model to explain transport mode shifts. Further, our results confirm that the shift towards metro was higher in the case of people “helped” and lower for those participating in some voluntary activities.     

城市轨道交通运营施工安全控制方式

地铁运营线路施工的计划管理、作业组织受区域、时间、作业条件等多种因素影响,易出现安全风险.安全控制作为消除风险的基础手段,贯穿施工管理业务全程.鉴于此,以天津地铁实际运用中的施工管理方式为基础,探讨了施工管理流程,并对天津地铁施工安全控制基本方式进行了分析,对信息化条件下的安全控制手段进行了说明.     

A cell-based logit-opportunity taxi customer-search model

This paper proposes a cell-based model to predict local customer-search movements of vacant taxi drivers, which incorporates the modeling principles of the logit-based search model and the intervening opportunity model. The local customer-search movements were extracted from the global positioning system data of 460 Hong Kong urban taxis and inputted into a cell-based taxi operating network to calibrate the model and validate the modeling concepts. The model results reveal that the taxi drivers’ local search decisions are significantly affected by the (cumulative) probability of successfully picking up a customer along the search route, and that the drivers do not search their customers under the random walk principle. The proposed model helps predict the effects of the implementation of the policies in adjusting the taxi fleet size and the changes in passenger demand on the customer-search distance and time of taxi drivers.     

An integrated analysis of workers’ physically active activity and active travel choice behavior

Using Texas add-on sample data from the 2009 National Household Travel Survey, this study examines adult workers’ daily active choice decisions in the context of physical activity and attendant health benefits. The study looked at workers’ two choice behaviors: active activity and active travel. The first choice behavior, active activity, is developed as an ordered-response model based on the number of physically active recreational activities pursued during the workday. The second choice behavior, active travel, is developed as a binary-response model that examines workers’ active travel choices—whether or not the worker used any active mode of travel during the same workday. The study improves the understanding and knowledge of observed factors influencing workers’ physically active activity-travel behavior. The study also provides several observations regarding the role (and constraints) of employment in individuals’ active choices. Using a flexible copula modeling methodology, we explore the true correlation (or dependence) between the two behavior choices that could occur due to the presence of unobserved factors, suggesting a simultaneously low or simultaneously high propensity for being physically active across workers. The study findings suggest that transportation and public health policy makers can mutually benefit from encouraging workers to be physically active (from an activity and/or travel perspective). Overall, the study draws attention to the integrated nature of the public health and transportation fields, thereby providing a distinct view of active/inactive choice behavior. To our knowledge, this is the first study exploring a rich variety of components for workers’ active activity-travel behavior through a robust copula approach.     

基于多维数据库的联机处理技术在装备维修费管理中的应用

论文以装备维修费分析为应用背景,按照需求分析、概念设计、逻辑建模、系统实现的软件工程过程,对基于多维数据库的联机分析处理（OLAP）技术及其实现方法进行了研究.     

基于高速公路流水数据的通勤车辆特征研究

随着居民利用高速公路进行通勤出行车辆的增加，高速公路缓行和交通拥堵等问题时有发生，特别是在重大节假日期间.目前，解决上述交通问题的主要方法是交通需求管理措施，而实现有针对性的交通需求管理需要对高速公路收费流水数据进行精确的挖掘分析，掌握车辆在高速公路上的运行状态与时空分布特征.本文基于高速公路收费流水数据，借助 K-means++聚类方法识别使用高速公路日常通勤的车辆，进一步分析通勤车辆的出行时空分布特征.从通勤出行的角度，挖掘城市通勤快速出行廊道分布，研究高速公路网与城市道路网络的关系，对提高交通系统效率和缓解交通问题具有重要的意义.     

抛石基床局部遭水冲破坏的诊断与加固

抛石基床发生局部破坏的工程实例较多,对出现该类问题的应对措施和相关加固技术的研究是迫切的。文中总结了大马力拖轮在靠离泊作业中造成使用期间重力式码头抛石基床局部被冲坏等主要原因,对抛石基床局部破坏问题的检测、诊断和安全性评估技术进行了探讨,并对各种抛石基床的加固方法加固效果进行了概括,最后提出了对码头管理单位在码头使用和维护的建议。     

产品数据管理系统在离散型制造企业中的应用

为了解决多品种、小批量的生产模式为离散型制造企业带来的诸多管理难题,提出通过建设信息化管理平台帮助企业提升管理水平。阐述了中交西筑公司建设“产品数据管理系统”(一期)的实际建设内容及应用情况,为即将建设信息化管理平台的制造企业提供参考。应用效果表明,该产品数据管理系统可以降低生产成本,提高效率。     

大数据视角下市政道路工程绩效评价体系探讨

通过对城市道路全寿命周期进行绩效评价,有利于提高建设单位综合管理水平,但目前暂没有一套成熟的市政道路工程的绩效评价体系.基于大数据技术,以其他相关领域工程绩效评价体系为参考,对现有工程绩效评价体系的不足之处进行了总结,对建立一个客观、准确、适用性广、可操作性强的市政道路全过程绩效评价体系提出了初步构想,并就确保体系有效性问题提出了需要关注的问题及解决思路.