School travel mode choice in Beijing,China

This study explores school travel mode choice behavior of 7–18 year-old students in Beijing, China, based on the data collected in Fifth Travel Survey of Beijing Inhabitants. The integration of tree-based and logit-based models is employed to examine the influence of key variables on school travel mode choice. In particular, the tree-based model is used to preliminarily select the traits which have a statistical effect on mode choice, and the logit-based model is used to provide deeper understanding of the underlying decision processes and the correlation effects of the variables. Results show that car ownership, poor walking/cycling environment, and adults' convenience for escorting students significantly stimulate the use of cars in school commuting. Students are more inclined to choose cars when their departure time is at rush hour compared to the other time. Moreover, the longer distance encourages the use of motorized transport, where the households with local hukou (usually related to the car ownership and other welfares) are more willing to drive their children to school. A number of recommendations on car restraint, sustainable travel environment improvement, different working hour implementing, and educational resources layout for the encouragement and promotion of sustainable travel practices are lastly proposed.     

Charging station location problem of plug-in electric vehicles

A novel model for the charging station location problem of plug-in electric vehicles is proposed in this paper. With the objective of minimizing the total cost, the proposed model simultaneously handles the problem of where to locate the charging stations and how many chargers should be established in each charging station. Furthermore, the model is expanded to consider a more general case. A genetic algorithm-based method is proposed for solving the expanded model. The results show that a better location scheme can be obtained using the expanded model.     

Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach

As activity based approach is receiving increased attention over the past decades, a variety of studies have explored the impacts of land use patterns not only on travel behavior but also on activity participation. Using data from the Tengzhou Household Travel Survey, this paper tests the relationships among land use patterns, activity participation and travel behavior, by comparing results from two structural equation models: one model without activity participation and a second model which adds activity participation as a mediating variable between land use patterns and travel behavior characteristics. The results suggest that the indirect effects through activity participation decision play important roles, which may reinforce the direct effects of land use patterns on travel behavior. Moreover, ignoring activity participation as a mediating variable may also lead to insignificant effects of land use patterns. We conclude that the intermediary nature of activity participation should be taken into consideration.     

Stochastic seat allocation models for passenger rail transportation under customer choice

We study the seat allocation problem for passenger rail revenue management, in which a rail operator attempts to determine the optimal quantity of seats to be allocated to each cabin class for each train service. We formulate the problem with single-stage and multi-stage decisions as two stochastic programming models that incorporate passengers’ choice behavior. We transform the stochastic models into equivalent deterministic mathematical programs that are easy to solve. Then, we form a variety of seat allocation polices from the optimal solutions to the seat allocation models. A number of simulation tests are offered to test the policies.     

Optimizing station location and fleet composition for a high-speed rail line

This paper proposes a new strategic planning model for high-speed rail ventures. It is a mixed-integer optimization model that applies to a given line and focuses on two key strategic decisions: station location and fleet composition. Our purpose is to improve on previous station location models by including fleet composition decisions. In the new model, we additionally take into account in an approximate fashion the interrelationships between strategic and subsequent tactical decisions, regarding line planning, train scheduling and fleet assignment issues. The usefulness of the model is demonstrated for a case study involving a planned Lisbon-Oporto high-speed rail line.     

基于改进模糊综合评价的走行部安全评估方法研究

采用改进层次分析法分析轮对轴箱装置、构架、弹簧悬挂装置、中央牵引装置、基础制动装置、驱动装置及相互之间的重要度,采用模糊综合评价方法建立城市轨道交通车辆走行部综合安全评估模型进行评估。在改进层次分析法中,提出采用聚类分析采集模糊风险评价集中的风险隶属度矩阵。针对评估结果探讨了采用风险控制措施降低风险的方法。     

基于碳排放的物流网络评价建模研究

从企业的角度出发,通过投入产出表建立基于碳平衡的投入产出平衡方程,从而对企业所在的物流网络进行系统的碳排放计量,进而为企业提供一种从低碳的角度考察其上游供应商以及下游销售渠道的定量评价方法,为企业在供应链的设计与优化过程中提供低碳方面的决策参考。     

我国综合交通运输网络发展回顾

回顾了30年(1978-2008)来我国综合运输网络规模与布局,并对比分析了五种交通运输方式的指标,对我国综合交通运输网络现状进行了分析。     

构建铁路集装箱企业级信息平台的研究

从信息化建设角度提出了建设信息高度共享与集成的铁路集装箱企业级信息平台,该信息平台建立在铁路集装箱运输支撑体系和营销服务支撑体系之上,业务范围覆盖总公司、各级分公司和各中心站、专办站、代办站三个层次,功能包含不同层次的多个业务系统,研究归纳了平台的基本定义、总体建设目标,讨论了平台中各组成部分的功能要求和运营管理模式,并阐述了该信息平台与既有TMIS和DMIS系统的内在关系等问题。     

突发客流情况下的公交系统运营管理机制研究

给出突发客流情况下公交系统运营管理机制的定义及其主要内容,详细叙述了事前、事中和事后各运营管理参与者的职能和主要工作,以及时应对突发客流事件并保证公共交通的安全秩序。