城市公交线网差异化计程票价多目标优化

为获取更加接近实际城市公交线网的票价策略，将出行者的社会互动行为与后悔心理引入广义费用，提出线路客流OD矩阵均衡算法；分别以交通管理部门利润最大化及出行者效用最大化为目标，以公交计程票价、发车频率、私家车停车费为变量，建立固定需求下公交线网差异化计程票价多目标优化模型.引入集群智能多目标优化算法求解，并应用于Mandl 标准公交线网.研究发现：以线路里程为标准，差异化计程票制可以有效降低出行成本；依据帕累托最优解调节票价，可以促进出行者选择行为向优势均衡转移.     

Subsidy and public transit performance: A factor analytic approach

The need to measure and evaluate transit system performance has led to the development of numerous performance indicators. However, depending upon the indicator, we oftentimes reach different conclusions regarding transit system performance. The research reported in this paper uses factor analytic methods to generate a set of underlying attributes (factors) that capture the performance of public transit systems in Indiana. Similar to what is reported in the literature, this study finds three attributes that best describe transit system performance: efficiency, effectiveness, and overall performance. Based upon systemsÕ factor scores, the study finds that systems scoring highly on one attribute generally perform well on the remaining attributes. Further, there is an inverse relationship between system performance and subsidies, a finding that supports performance based subsidy allocations.     

城际铁路票务系统票制问题的探讨

城际铁路既具有普通铁路的运营特点,又具有公交化运营特点,在一些城市还需与地铁实现同台无障碍换乘。通过对成都至都江堰铁路票务系统的需求分析,提出城际铁路票务系统票制问题的解决思路。     

轨道交通自动售检票系统国产化现状与展望

论述近10年来AFC系统的国产化取得的显著成绩和存在的问题:从起初基本依赖进口,到目前国产化率达到70%,但是现场终端设备(主要包括自动售票机及自动检票机)中的几个关键模块仍以进口为主,国产化遇到瓶颈。对AFC系统的现状进行论述,并提出对国产化的展望。     

网络化城市轨道交通AFC系统票务流转分析

为更好地完成车票管理工作、提高票务管理效率,根据管理方式将车票分为回收类和非回收类,分析这两类轨道交通专用车票的应用特点.在研究网络化运营环境下车票流转的运行模式的基础上,以中央清结算中心、线路中心和车站三级管理流程为例,详细分析回收类车票和非回收类车票的流转全过程,为今后网络化运营下AFC系统的车票流通管理提供理论参...     

城市轨道交通票款清分方法的研究

针对＂无障碍换乘＂模式网络化运营条件下的票款清分问题,提出一种基于广义出行代价的多路径选择概率模型,考虑不同出行时段、换乘代价对乘客路径选择的影响。在票款清分比例确定时,除考虑各线路运营里程外,还考虑分配换乘里程的因素,从而使得各线路的收益分配更趋合理。     

The effects of federal transit subsidy policy on investment decisions: The case of San Francisco's Geary Corridor

In the United States, federal funding for public transit often accounts for a large proportion of a local agency's budget, especially for capital investments. For this reason, local governments can be expected to plan a portfolio of projects that maximize federal contributions. This study examines the financial effects of federal transit subsidy policy on local transit investment decisions. Data from a System Planning Study for the Geary Corridor in San Francisco are used as an illustration. It is found that federal transit subsidy policy provides financial incentives for local decision-makers to select capital-intensive investment options that may not be efficient or effective. While federal financial incentives are not the only factor influencing local investment decisions, some reform of the current subsidy policy may be necessary to reduce the incentive for ineffective use of public resources.     

Optimal bus fleet management strategy for emissions reduction

Transportation is a major cause for environmental degradation via exhaust emissions. For many transit-oriented metropolitan areas, bus trips often constitute a sizeable mode share. Managing the bus fleet, in particular updating buses to comply with the newer emissions standards, therefore, can have a substantial impact on transportation-induced air quality. This paper presents the approach of remaining life additional benefit–cost (RLABC) analysis for maximising the total net benefit by either early-retiring or retrofitting the current bus fleet within their lifespans. By referring to the net benefits for different bus types estimated by RLABC analysis, the most beneficial management scheme for the current bus fleet can be identified. Optimal bus fleet management (BFM) models based on the RLABC analysis for the operator and the government are developed. Then a government subsidy plan is produced to achieve win–win solutions, which will offer efficient and flexible management schemes. To illustrate the approach, the largest bus company in Hong Kong, which carries more than 23% of the total trips in Hong Kong, is taken as a case study example. Instead of adopting a fixed retirement plan, such as replacing buses at the age of 17 as is currently practised, the proposed method develops an optimal BFM scheme that progressively phases out buses or retrofits them. This study produces promising results to demonstrate the large benefit of this approach for optimal bus fleet management.     

Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.     

You (expect to) get what you pay for: A system approach to delay, fare, and complaints

In this paper, an analytical framework integrating delay, fare, and complaints with passenger air travel has been laid out. Examining aggregate monthly data for US domestic air travel, we have identified causal relationships among fare, complaints, and levels of delay. An analytical framework is proposed that formalizes these relationships in an integrated manner. This integrated framework is then estimated in a set of simultaneous equations by using 118 months of data from January 1997 to October 2006. Results show that complaints are influenced by levels of delays. However, complaints are positively influenced by average yield. These findings lead us to support the central hypothesis that complaints are responsive to levels of delays, but they tend to vary according to fare. That is, air travelers are less likely to complain in return for lower fares, even when faced with the same or even higher levels of delays. These findings have important policy implications, including the passengers’ bill of rights and regulator’s choice between market and operational performances.