城市轨道车站换乘形式分类、影响因素及建议——以深圳市为例

城市轨道车站换乘效率是影响轨道旅客出行效率的重要因素,以提升旅客出行体验为导向的轨道车站换乘形式规划设计是轨道网络化背景下轨道车站规划设计的主要方向。本文总结城市轨道车站四大类换乘形式以及影响换乘形式选择的四个主要因素,以深圳市城市轨道已建换乘车站为案例,探讨了其换乘形式存在的主要问题,并提出未来轨道换乘车站规划设计的建议。     

基于高速铁路常旅客计划的全流程智慧行李服务方案构建

随着"铁路畅行"和"客运提质计划"的提出,提供高质量、个性化的旅客服务成为高速铁路客运发展的关键方向。为打造全新旅客行李服务概念,基于"铁路畅行"会员常旅客计划,构建全流程、门到门智慧行李服务方案,从旅客需求角度出发,采取"人货分离"模式,突破传统站内行李服务的模式,拓宽业务场景,延长商业链,形成一套系统完整的方案。全流程智慧行李服务作为一项新的服务模式,为培育旅客需求,提高顾客粘合度,挖掘高铁行李服务的潜在市场,优化铁路盈利结构,加快构建铁路客运服务体系,提升铁路在运输市场的竞争力提供支持。     

瑞士铁路旅客运输组织分析及启示

文章从周期性列车运行图、旅客换乘组织、旅客行程规划、票价与票制、财政补贴等方面分析了瑞士铁路的运输组织特点;根据分析提出对我国高速铁路的启示,主要包括:部分线路采用周期性列车运行图、设计列车接续以提高换乘客流服务水平,优化12306客运服务网站相关功能方便旅客获得全面的行程规划信息,设置多种票制与折扣以提高我国高速铁路客流吸引力并降低旅客出行成本,制定财政补贴政策促使铁路企业保证最小列车服务频率等。     

基于Anylogic的高速铁路换乘接续客流仿真优化

为探究旅客在高铁枢纽内的接续换乘行为的走行流线及站内设施设备的利用是否合理,本文从旅客流线出发,根据西安北站的站内布置和旅客行为选择,利用Anylogic软件分别针对三种场景下的旅客站内接续换乘流线进行仿真分析.仿真数据显示,日常及大客流时期站厅换乘流线设备较站外换乘利用率低,站厅换乘通道未得到充分利用,可增加站台引导...     

空铁一体枢纽联运服务需求及偏好研究

空铁联运枢纽是一种结合航空与铁路两种长距离交通方式的新出行场景,了解空铁换乘旅客的联运服务需求,对提升空铁换乘服务品质有着重要意义。参考国内外空铁枢纽联运服务现状,本文基于问卷调研及统计分析技术,研究了旅客对空铁联运服务的需求及重要度偏好。调研发现票价优惠、联程票务、常旅客计划、换乘信息、安检互认等服务被认为是重要的联程联运服务类型。而不同空铁联程出行经历、航空出行频率和年龄的受访者也对联程联运服务存在不同的需求偏好。研究成果对推进空铁联程联运服务体系建设,提高空铁枢纽衔接服务水平提供了支撑。     

中运量公交与轨道交通换乘衔接优化研究

中运量公交与轨道交通的换乘衔接是城市公共交通系统中的重要环节,对于提高交通系统效率、降低城市交通拥堵以及改善乘客出行体验具有关键作用。深入研究中运量公交与轨道交通换乘衔接优化,以提高换乘的便捷性和可靠性。首先,对中运量公交与轨道交通系统进行概述;其次,对中运量公交与轨道交通换乘衔接存在的问题进行分析;最后,结合两者特点,提出针对性换乘衔接优化策略。以期提高中运量公交与轨道交通换乘的便利性,进而为人们的高效出行创造有利条件。     

穗莞深城际望洪站区换乘衔接方案研究

穗莞深城际及佛莞惠城际为联通珠三角地区南北向及东西向的快速客运通道,两线在望洪地区交汇,二者合理的换乘衔接方式,对方便旅客出行、发挥线网功能、高效组织运营和提升运输服务质量具有十分重要意义。从客流特征、行车组织、平面线形、规划适应性、工程投资及工程实施条件方面研究分析两线换乘衔接方案,最终确定两线采用十字交叉设西南联络线的综合最优换乘衔接方案,该研究成果对后续粤港澳大湾区及其他城市群的城际铁路换乘衔接具有一定参考意义。     

各部门多措并举保障暑运出行

随着暑运开启,各地将陆续迎来学生流、探亲流、旅游流叠加.为了保障旅客安全有序出行,各部门坚持以旅客需求为导向,强化出行服务、防疫和安全保障,努力让旅客出行体验更美好. 来自中国国家铁路集团有限公司的最新统计显示,2021年铁路暑运期间(7月1日至8月31日),全国铁路预计发送旅客7.5亿人次,与2019年基本持平.7月1日暑运首日,全国铁路发送旅客883万人次.     

上海轨道交通10号线南京东路站建筑设计实践

上海市轨道交通2、10号线南京东路站为“厅-厅”通道换乘,介绍了10号线车站建筑的组成、车站总平面、站厅层、站台层、设备层、换乘通道以及车站附属建筑的设计分析。     

接驳定制公交便捷返乡路

<正>近日,交通运输部等国家五部委联合发出通知,要求在春运期间开展"情满旅途"活动,为旅客春运出行提供"七心"服务,要发挥不同运输方式的比较优势方便旅客中转、换乘和出行。尤其是城市公交企业要加强公交线路与铁路列车和民航航班时刻的衔接。连日来,青岛各个交通枢纽站点客流量逐日增加,为方便乘     

基于AnyLogic的地铁三线换乘站仿真研究

本文以"节点+同台+站厅"为换乘方式的"F"型三线换乘站、以"节点+通道+站厅"为换乘方式的"H"型三线换乘站、以"站厅+通道"为换乘方式的"H"型三线换乘站为研究对象,应用AnyLogic软件进行动态仿真,以空间服务水平、平均换乘距离、平均换乘时间等指标,分析不同站型、不同换乘方式的三线换乘效果。结果表明,"F"型空间服务水平优于"H"型车站,但后者的平均换乘时间、平均换乘距离普遍优于前者。对于"H"型车站,以"节点+通道+站厅"的组合,乘客的换乘时间、换乘距离均优于"站厅+通道"的组合。但因后者客流较为分散,中部站厅用于换乘的楼扶梯端部或换乘通道出入口不易发生拥堵,空间服务水平优于前者。     

Exploring passenger anxiety associated with train travel

Although people are often encouraged to use public transportation, the riding experience is not always comfortable. This study uses service items to measure passenger anxieties by applying a conceptual model based on the railway passenger service chain perspective. Passenger anxieties associated with train travel are measured using a modern psychometric method, the Rasch model. This study surveys 412 train passengers. Analytical results indicate that the following service items cause passenger anxiety during trains travel: crowding, delays, accessibility to a railway station, searching for the right train on a platform, and transferring trains. Empirical results obtained using the Rasch approach can be used to derive an effective strategy to reduce train passenger anxiety. This empirical study also demonstrates that anxiety differs based on passenger sex, age, riding frequency, and trip type. This information will also prove useful for transportation planners and policy-makers when considering the special travel needs of certain groups to create a user-friendly railway travel environment that promotes public use.     

Role of the Travel Factor Convenience in Rail Travel and a Framework for its Assessment

Abstract

This paper reviews the travel factor convenience with particular regard to rail travel. Past research has shown that convenience is a concept readily associated with the private car and its perceived ability to provide a door‐to‐door journey. Private vehicles such as cars are often key competitors to public transport. However, convenience with regard to public transport has proved to be somewhat of an ambiguous concept, often showing a high degree of overlap with the other main recognized travel factors. This paper shows that it is possible to consider convenience in rail travel as an embodiment of four themes: access/egress, station facilities/environment, frequency of service/scheduling and interchange between train services. A list of physically measurable elements can be produced relating to these four themes in order to assess the convenience of any particular station. A categorization process is proposed based upon the initial findings of a questionnaire designed to obtain a user perspective upon convenience. It is concluded that no definitive measure of convenience can be produced for rail travel, although a proxy measure, based upon categorization, containing some or all of the defined elements should be possible.     

A dynamic station strategy to improve the performance of flex-route transit services

As an innovative combination of conventional fixed-route transit and demand responsive service, flex-route transit is currently the most popular type of flexible transit services. This paper proposes a dynamic station strategy to improve the performance of flex-route transit in operating environments with uncertain travel demand. In this strategy, accepted curb-to-curb stops are labeled as temporary stations, which can be utilized by rejected requests for their pick-up and drop-off. The user cost function is defined as the performance measure of transit systems. Analytical models and simulations are constructed to test the feasibility of implementing the dynamic station strategy in flex-route transit services. The study over a real-life flex-route service indicates that the proposed dynamic station strategy could reduce the user cost by up to 30% without any additional operating cost, when an unexpectedly high travel demand surpasses the designed service capacity of deviation services.     

Optimization of a feeder-bus route design by using a multiobjective programming approach

This paper presents a feeder-bus route design model, capable of minimizing route length, minimizing maximum route travel time of planned routes, and maximizing service coverage for trip generation. The proposed model considers constraints of route connectivity, subtour prevention, travel time upper bound of a route, relationships between route layout and service coverage, and value ranges of decision variables. Parameter uncertainties are dealt with using fuzzy numbers, and the model is developed as a multiobjective programming problem. A case study of a metro station in Taichung City, Taiwan is then conducted. Next, the programming problem in the case study is solved, based on the technique for order preference by similarity to ideal solution approach to obtain the compromise route design. Results of the case study confirm that the routes of the proposed model perform better than existing routes in terms of network length and service coverage. Additionally, increasing the number of feeder-bus routes decreases maximum route travel time, increases service coverage, and increases network length. To our knowledge, the proposed model is the first bus route design model in the literature to consider simultaneously various stakeholder needs and support for bus route planners in developing alternatives for further evaluation efficiently and systematically.     

Optimizing coordinated transfer with probabilistic vehicle arrivals and passengers' walking time

Supporting efficient connections by synchronizing vehicle arrival time and passengers' walking time at a transfer hub may significantly improve service quality, stimulate demand, and increase productivity. However, vehicle travel times and walking times in urban settings often varies spatially and temporally due to a variety of factors. Nevertheless, the reservation of slack time and/or the justification of vehicle arrival time at the hub may substantially increase the success of transfer coordination. To this end, this paper develops a model that considers probabilistic vehicle arrivals and passengers walking speeds so that the slack time and the scheduled bus arrival time can be optimized by minimizing the total system cost. A case study is conducted in which the developed model is applied to optimize the coordination of multiple bus routes connecting at a transfer station in Xi'an, China. The relationship between decision variables and model parameters, including the mean and the standard deviation of walking time, is explored. It was found that the joint impact of probabilistic vehicle arrivals and passengers' walking time significantly affects the efficiency of coordinated transfer. The established methodology can essentially be applied to any distribution of bus arrival and passenger walking time. Copyright © 2017 John Wiley & Sons, Ltd.     

Optimal feeder bus routes on irregular street networks

The methodology presented here seeks to optimize bus routes feeding a major intermodal transit transfer station while considering intersection delays and realistic street networks. A model is developed for finding the optimal bus route location and its operating headway in a heterogeneous service area. The criterion for optimality is the minimum total cost, including supplier and user costs. Irregular and discrete demand distributions, which realistically represent geographic variations in demand, are considered in the proposed model. The optimal headway is derived analytically for an irregularly shaped service area without demand elasticity, with non‐uniformly distributed demand density, and with a many‐to‐one travel pattern. Computer programs are designed to analyze numerical examples, which show that the combinatory type routing problem can be globally optimized. The improved computational efficiency of the near‐optimal algorithm is demonstrated through numerical comparisons to an optimal solution obtained by the exhaustive search (ES) algorithm. The CPU time spent by each algorithm is also compared to demonstrate that the near‐optimal algorithm converges to an acceptable solution significantly faster than the ES algorithm.     

Optimal coordination of public-transit vehicles using operational tactics examined by simulation

This work focuses on improving transit-service reliability by optimally reducing the transfer time required in the operations of transit networks. Service reliability of public-transit operations is receiving increased attention as agencies are faced with immediate problems of proving credible service while attempting to reduce operating cost. Unreliable service has also been cited as the major deterrent to existing and potential passengers. Due to the fact that most of the public transit attributes are stochastic: travel time, dwell time, demand, etc., the passenger is likely to experience unplanned waiting times and ride times. One of the main components of service reliability is the use of transfers. Transfers have the advantages of reducing operational costs and introducing more flexible and efficient route planning. However its main drawback is the inconvenience of traveling multi-legged trips. This work introduces synchronized (timed) time-tables to diminish the waiting time caused by transfers. Their use, however, suffers from uncertainty about the simultaneous arrival of two (or more) vehicles at an existing stop. In order to alleviate the uncertainty of simultaneous arrivals, operational tactics such as hold, skip stop and short-turn can be deployed considering the positive and negative effects, of each tactic, on the total travel time. A dynamic programming model was developed for minimizing the total travel time resulting with a set of preferred tactics to be deployed. This work describes the optimization model using simulation for validation of the results attained. The results confirm the benefits of the model with 10% reduction of total travel time and more than 200% increase of direct transfers (transfers in which both vehicles arrive simultaneously to the transfer point).     

Level of service analysis for airport baggage claim with a case study of the Calgary International Airport

This work presents a methodology to evaluate the level of service (LOS) of an airport baggage claim. A psychometric scaling technique is employed to obtain quantitative data from qualitative data (user responses as a function of five rating categories). Regression analysis is applied to obtain a statistically valid relationship between user responses and observed operational indicators. The proposed model is developed from a case study of the West Jet baggage claim area at the Calgary International Airport – Canada, where 62 passengers have been observed and interviewed. The collected data allowed the proposal of standards, which indicate tolerable limits as a function of various LOS ranges (A–E). The results are useful for managers and designers on assessing the LOS offered in a terminal, but also during the planning and design stages of an airport. Copyright © 2010 John Wiley & Sons, Ltd.