基于接驳方式组合的轨道交通站点客流吸引范围研究

轨道交通站点客流吸引范围是保证轨道客流来源的重要基础,也是轨道客流客观预测及交通设施衔接合理规划的前提。从出行费用、时间及个人收入特征等要素的分析入手,基于广义出行费用一致性原则建立轨道交通站点客流的吸引范围模型,该模型考虑路网的实际结构。最后,将该模型运用到即将开通运营的南宁轨道1号线中,计算金湖广场站的客流吸引范围。     

基于基因表达式编程的公路工程造价预测模型

基因表达式编程作为新型的人工智能数学建模方法,具有较强的函数发现能力和较高的搜索效率．针对公路工程造价预测特点和已有预测模型的不足,求解基于GEP的公路工程造价预测模型．根据工程造价的组成原理筛选确定11个公路工程特征因素,用15组公路工程数据作训练样本和验证样本,在设定好GEP算法的构成要素的前提下,使用Visual Basic语言表达GEP算法,求解公路工程造价预测模型．通过敏感性分析模型的可行性,用比较图和4个统计指标值对模型进行评价．结果表明,预测模型所得结果与工程实践相吻合,且预测值与实际值的相对误差≤5.9%,满足预测精度≤10%的要求,预测精度高,该模型具有较好的应用价值．     

路基土石方经济运距新算方法及应用

土石方在交通土建工程中占很大的比例,而挖、填方比例的合理调配可以降低造价,提高效益,经济运距则是进行土石方调配的关键.本文结合土地资源紧张的现实,推导出了经济运距的修正公式,并应用于汉孝高速公路土石方调配,得到了比较好的结果.     

直线电机地铁系统技术经济分析研究

简要介绍直线电机地铁系统的原理及应用,从建设、运营及社会经济效益3个方面进行详细论述,将该系统的技术经济性能与其他城市轨道交通系统进行全面的比较,认为该系统具有较好的技术经济特性,推荐在我国城市轨道交通建设中使用。     

城市轨道交通项目全寿命周期费用集成化管理研究

从城市轨道交通项目全寿命周期费用集成化管理研究的定义、背景、现状、意义出发,阐述了项目全寿命周期费用全要素、全过程、全风险、全方位集成化管理的目标、内容、方法。     

一种基于支付红利股票的美式期权定价方法

通过把股票价格看成由无风险部分和有风险部分组成,利用有限差分法对基于支付红利股票的美式期权定价进行了研究,同时考虑了交易费用.最后,通过数值算例验证了方法的有效性和准确性.     

城市轨道交通工程设计咨询过程投资控制探讨

给出在设计咨询阶段对项目投资进行节约控制的重要意义,分析城市轨道交通项目在设计咨询阶段投资控制的主要方法,把各阶段的投资控制目标、手段加以明确区分,对价值工程和限额设计的具体运用方式方法进行了阐述和比较,界定了各设计咨询阶段投资控制的实施原则和控制要点。     

石太客运专线特长隧道Ⅰ型板式无砟轨道施工与造价

为了满足客运专线铁路的快速发展需要,进一步推广Ⅰ型板式无砟轨道的应用,结合石太客运专线太行山特长隧道Ⅰ型板式无砟轨道施工的成功经验,对特长隧道无砟轨道物流组织、施工测量、底座混凝土、铺板、铺轨等关键技术以及施工造价做深入详细的剖析,使客运专线铁路特长隧道Ⅰ型板式无砟轨道施工工艺标准化、规范化,为今后的客运专线长大隧道内无砟轨道的推广应用以及城市轨道交通无砟轨道施工提供有益的参考。     

Optimization of headways with stop‐skipping control: a case study of bus rapid transit system

Bus rapid transit system is designed to provide high‐quality and cost‐efficient passenger transportation services. In order to achieve this design objective, effective scheduling strategies are required. This research aims at improving the operation efficiency and service quality of a BRT system through integrated optimization of its service headways and stop‐skipping strategy. Based on cost analysis for both passengers and operation agencies, an optimization model is established. A genetic algorithms based algorithm and an application‐oriented solution method are developed. Beijing BRT Line 2 has been chosen as a case study, and the effectiveness of the optimal headways with stop‐skipping services under different demand levels has been analyzed. The results has shown that, at a certain demand level, the proposed operating strategy can be most advantageous for passengers with an accepted increase of operating costs, under which the optimum headway is between 3.5 and 5.5 min for stop‐skipping services during the morning peak hour depending on the demand with the provision of stop‐skipping services. The effectiveness of the optimal headways with stop‐skipping services is compared with those of existing headways and optimal headways without stop‐skipping services. The results show that operating strategies under the optimal headways with stop‐skipping services outperforms the other two operating strategies with respect to total costs and in‐vehicle time for passengers. Copyright © 2014 John Wiley & Sons, Ltd.     

Assessing the financial and social costs of public transport in differing operating environments and with endogenous demand

This paper uses a previously developed spreadsheet cost model which simulates public transport modes operated on a 12-km route to analyse the total costs of different passenger demand levels. The previous cost model was a very powerful tool to estimate the social and operator costs for different public transport technologies. However, as the model is strategic, some basic assumptions were made which are relaxed in this paper. First, the speed-flow equation in the original spreadsheet model assumes that speed decreases according to the ratio of the current frequency and the lane capacity which is based on the safety headway without taking into account passenger boardings. However, this may vary in different operating environments. Therefore, the speed-flow equation is improved by moving from a linear equation to a piecewise equation that considers the features of different operating environments. Second, the model assumes that supply is sufficient to meet demand. However, when the level of demand is high for the lower-capacity public transport technologies, passengers may find the incoming vehicle full and therefore, they have to wait more than one service interval. This paper applies queuing theory to investigate the probability of having to wait longer than the expected service headways which will affect the average passenger waiting time. The extra waiting time for each passenger is calculated and applied in the spreadsheet cost model. Third, the original model assumed that demand was externally fixed (exogenous). To evaluate the differences after applying these equations, endogenous demand rather than exogenous demand will be investigated by using the elasticities for passenger waiting time and journey time.