对部颁标准《客运专线铁路信号产品标准（暂行）铁路信号电源屏》的思考

对铁道部新颁布的《客运专线铁路信号产品标准（暂行）铁路信号电源屏》标准进行了探讨，指出与现行铁路信号电源屏部颁标准不同部分，以及暂行标准尚存在的问题，并提出改进建议或思路。     

客运专线整孔箱梁预制裂缝控制措施

分析客运专线整孔箱梁裂缝产生的原因，阐述了控制裂缝的措施和施工过程中出现裂缝的处理方法，为今后客专900t整孔箱梁施工提供参考。     

客运专线牵引变电所换相联接的分析研究

研究目的：电气化铁道是单相移动牵引负荷，会造成电力系统三相负荷的不平衡，对不平衡产生的负序电流问题，需探讨减小负序电流的措施，尽量减小牵引负荷对电力系统的负序影响。研究结论：电气化铁道牵引变电所普遍采用换相联接的供电方式——轮换接人电力系统中的不同相。本文对电气化铁道牵引变电所采用单相结线、单相V，v结线、三相V，v结线、三相YN，d11结线、三相一两相平衡结线、三相V，X结线等牵引变压器的端子标志及联接进行了论述和总结，对牵引变电所采用各种牵引变压器的换相联接方式进行了分析研究，提出了客运专线采用AT供电方式时，单相或单相V，x结线的变压器端子标志、联接方案及牵引变电所换相联接的推荐方案。采用该方案可以简化牵引变电所牵引变压器一次侧高压线路的接线，避免高压侧线路出现交叉连接，同时简化了牵引变电所的平面布置，节约了投资。     

兰州铁路枢纽客运系统再研究

结合兰州铁路枢纽相关路网调整,根据枢纽客运布局及相关线路情况,对枢纽内客站站场能力、枢纽线路区间通过能力、跨线客车径路等方面进行检算或检查,得出兰州西站站场规模、枢纽线路区间通过能力均能适应路网调整的需要,但存在既有兰州站客运设施不能满足兰新第二双线2014年年底引入的需要、兰州经中川至张掖铁路无法跨线至宝兰客运专线等问题,并针对问题提出解决方案及建议。     

南宁市农村客运发展策略研究

农村客运是农村社会经济发展的基础与保障,是农村居民重要的出行方式。文章阐述了南宁市农村客运发展存在的问题,分析了问题产生的原因,并基于南宁市城市发展方向与目标提出了农村客运发展策略。     

����SP����ij��й�����ͨ����ʱ���ֵ����

城市公共交通乘客出行成本的量化研究,对于科学合理地评价公共交通系统的社会效益意义重大,而出行时间价值是进行乘客出行成本估计的一个重要环节. 本文以北京市市区居民SP调查数据为依托,通过分析公共交通出行时间价值的影响因素,选取Logit模型为基础模型,引入“出行者收入”作为模型新增变量,并针对工作商务、社会娱乐两种出行目的在不同换乘情况下出行时间价值模型进行参数标定,建立了基于SP调查数据的改进型时间价值求解模型,并计算得到北京市公共交通出行者在不同出行目的和有无换乘情况下的换乘时间价值、候车时间价值以及运行时间价值. 研究发现,工作商务出行目的出行时间价值普遍高于社会娱乐的出行时间价值,出行者在不同出行目的和有无换乘情况下的候车时间价值,大于换乘时间价值以及运行时间价值,并且有换乘情况下的候车时间价值大于无换乘情况下的候车时间价值.     

公路客运应对高速铁路发展策略研究

通过回顾公铁交锋历程,提出公路客运面临的问题,在分析高速铁路客运与公路客运各自的优劣势的基础上,提出公路客运增优降劣策略。     

Evolution of latent modal captivity and mode choice patterns for commuting trips: A longitudinal analysis using repeated cross-sectional datasets

This paper presents an investigation of the temporal evolution of commuting mode choice preference structures. It contributes to two specific modelling issues: latent modal captivity and working with multiple repeated crossectional datasets. In this paper latent modal captivity refers to captive reliance on a specific mode rather than all feasible modes. Three household travel survey datasets collected in the Greater Toronto and Hamilton Area (GTHA) over a ten-year time period are used for empirical modelling. Datasets collected in different years are pooled and separate year-specific scale parameters and coefficients of key variables are estimated for different years. The empirical model clearly explains that there have been significant changes in latent modal captivity and the mode choice preference structures for commuting in the GTHA. Changes have occurred in the unexplained component of latent captivities, in transportation cost perceptions, and in the scales of commuting mode choice preferences. The empirical model also demonstrates that pooling multiple repeated cross-sectional datasets is an efficient way of capturing behavioural changes over time. Application of the proposed mode choice model for practical policy analysis and forecasting will ensure accurate forecasting and an enhanced understanding of policy impacts.     

Multi-objective re-synchronizing of bus timetable: Model,complexity and solution

This work is originally motived by the re-planning of a bus network timetable. The existing timetable with even headways for the network is generated using line by line timetabling approach without considering the interactions between lines. Decision-makers (i.e., schedulers) intend to synchronize vehicle timetable of lines at transfer nodes to facilitate passenger transfers while being concerned with the impacts of re-designed timetable on the regularity of existing timetable and the accustomed trip plans of passengers. Regarding this situation, we investigate a multi-objective re-synchronizing of bus timetable (MSBT) problem, which is characterized by headway-sensitive passenger demand, uneven headways, service regularity, flexible synchronization and involvement of existing bus timetable. A multi-objective optimization model for the MSBT is proposed to make a trade-off between the total number of passengers benefited by smooth transfers and the maximal deviation from the departure times of the existing timetable. By clarifying the mathematical properties and solution space of the model, we prove that the MSBT problem is NP-hard, and its Pareto-optimal front is non-convex. Therefore, we design a non-dominated sorting genetic (NSGA-II) based algorithm to solve this problem. Numerical experiments show that the designed algorithm, compared with enumeration method, can generate high-quality Pareto solutions within reasonable times. We also find that the timetable allowing larger flexibility of headways can obtain more and better Pareto-optimal solutions, which can provide decision-makers more choice.