客运专线中心站旅客换乘问题探讨

分析客运专线中心站旅客出行目的及结构特征、出行时间特征、换乘等特征，根据客运专线的技术特点，按照和谐铁路的理念，充分体现以人为本的原则，从优化客运专线中心站旅客换乘设施、加强客流组织和客运服务、科学配置城市交通的客运设施等方面提出客运专线中心站旅客换乘的对策。     

基于信息熵-灰色关联分析法的客运专线车站选址评价研究

根据客运专线车站的特点和选址的影响因素,构建客运专线车站选址的评价指标体系,将灰色关联分析法与信息熵法相结合,更科学全面地考虑主客观信息,对客运专线车站选址进行评价,并通过算例说明以信息熵法为基础建立的灰色关联分析模型在解决客运专线车站选址问题时具有一定的应用价值,有助于决策者科学合理地选择客运站位置.     

修建京津冀地区铁路客运中心站的构想

在分析京津冀地区铁路客运专线网布局和运输组织方式的基础上,论述了铁路客运中心站的作用,提出地区铁路专线客运站的布局模式,以及客运站的分工建议和集疏运系统的建立与完善。     

灰色系统理论在压力容器故障树分析中的应用

建议了一种基于绝对关联度的灰色关联分析在故障树中的应用方法,弥补了传统灰色关联分析法的一些不足。该方法以典型故障模式为母序列,以故障树基本事件重要度为子序列,通过进行绝对关联度计算及排序,对故障树中各种故障模式发生的可能性大小做出了准确判断。通过对压力容器故进行分析表明,利用本文建议方法的计算结果符合实际。     

新建铁路项目的综合评价与决策分析

铁路建设项目涉及诸多因素,是个多目标决策问题,利用灰色系统理论关联度和层次分析法,对新建铁路项目方案进行决策分析,按关联度大小排序,进行方案优化,为项目方案选择提供决策依据。通过实例分析给出有关计算步骤,并说明该方法的有效性。     

灰色理论在交通方式优选中的应用

针对传统交通方式优选方法中的不足,结合交通运输方式自身的特点,提出灰关联度进行交通运输方式优选的思路和方法。在系统介绍灰关联度分析法步骤的基础上,以N—S两地间交通方式的选取为例,探讨了灰关联度进行交通方式优选的可行性。     

交通方式多目标优选的决策分析

在分析传统的方案比选方法存在问题的基础上,根据交通运输方式的特点和影响,选取灰色关联度分析法作为优选方法,重点对该方法中各方案特征指标权重的确定进行研究,通过对权重进行局部优化,最后再组合赋权,以求得更加客现的权重,弥补了由专家直接赋权的不足.最后通过实例应用对模型进行了验证.     

城际客流的影响因素及GM（1，h）预测模型

通过城间客流调查,用灰色理论中斜率关联度分析法对城际旅客列车客流的影响因素进行了分析,并建立城际旅客列车的GM（1,h)客流预测模型,以改进城际间的客流组织工作。     

组合评价法在综合交通枢纽客运站布局评价中的应用

在确定枢纽客运站布局评价指标体系的基础上,将组合评价法应用于枢纽客运站布局的评价,首先采用层次分析法与熵值法相结合的赋权方法确定指标的权重,再通过基于关联度分析的灰色综合评价方法,计算出备选方案与最优方案之间的关联度,从而得到备选方案的优劣次序。通过实例分析说明组合评价法科学合理、简便易行。     

基于灰色关联-理想解组合评价模型的城市轨道交通线网评价

线网规划方案评价贯穿于线网方案构架设计及评优决策的始终,而灰色关联度法和理想解法是轨道交通线网评价中的常用方法.在对上述两种方法进行理论分析的基础上,提出了基于灰色关联-理想解组合评价模型,将灰色关联度和理想解技术有效结合,充分发挥这两种评价方法的优势,并通过石家庄市城市快速轨道交通规划的实例验证了该模型的有效性.     

机场进出场客流量分配模型及方法研究

以机场出发旅客为研究对象,分析不同交通方式下旅客进出场出行成本对交通方式选择的影响,构建了机场进出场不同交通方式下交通工具选择的均衡配流模型,并设计了求解该模型的灵敏度分析方法.构建模型主要基于旅客的选择行为,能够定量反映不同交通工具出行费用与其流量分担率间的变化关系.算例结果表明,构建的模型及其求解方法可行、有效.     

Evaluation methodologies of transportation projects in Japan

This paper examines the system and manuals for transportation project evaluation, which are recently introduced for all transportation modes, road, railway, airport and seaport projects in Japan. The manuals aim to evaluate the social significance of projects from the viewpoint of efficiency and equity, by applying a sort of multi-criterion analysis, although adopting the cost benefit analysis as a basic method to evaluate social efficiency. Result of the review shows that there are several inconsistent points among the key components of the evaluation procedures, such as demand forecasting, value of time, environmental aspects, and regional development effects, among others. The existence of these inconsistencies reveals the difficulty of developing a common evaluation framework for multi-modal applications.     

企业物流配送模式选择的TOPSIS多目标决策研究

介绍目前主要的物流配送模式，建立物流配送模式选择的评价指标体系，利用熵权法和AHP方法相结合，得出企业配送模式选择中的各个评价指标的权重，使评价结果更具有说服力。并且引入TOPSIS法有效解决配送模式选择的多目标决策问题，并对各备选模式进行了定量排序，为企业物流配送模式的决策提供依据。     

中国高速铁路技术经济分析

在综合交通体系中。铁路具有运输能力大、成本低、能源消耗少、环境污染轻、占地少等技术经济优势,高速铁路的技术经济优势则更为显著。立足于中国国情,从技术特点、经济性、可持续发展三方面对中国高速铁路与相关运输方式的技术经济特征进行分析和比较。同时结合我国经济发展特点,就能源消耗、土地资源利用、安全等方面采用量化分析的方法对高速铁路与相关运输方式进行比较分析。     

Modeling job accessibility using online map data: An extended two-step floating catchment area method with multiple travel modes

Current quantitative measures of job accessibility rarely consider the interaction between job opportunities and labor force, and the effects of dynamic travel mode choice. Drawing upon multiple open-source datasets, we develop a job accessibility index by extending the two-step floating catchment area method (2SFCA). The job accessibility indices are calculated for different commuting scenarios concerning distance, time, and travel modes. The results suggest that job accessibility is very sensitive to travel modes, and using a single travel mode would contribute to a biased job accessibility index. The job accessibility indices with combined travel modes are more geographically balanced than using a single travel mode. Furthermore, the new index is employed to examine the spatial pattern of job accessibility and explore the relationship between job accessibility, housing, and population in the Pudong district, Shanghai. The new job accessibility indices manifest the impacts of ring roads on the spatial distribution of job accessibility. A comparative analysis shows that the floating population has poor driving-based job accessibility but can access job opportunities using public transit. Also, poor job accessibility leads to low rent prices but has little impact on medium-high rent. Both transit-based and drive-based job accessibility indices are positively related to housing prices. Our study highlights the importance of considering dynamic travel mode choice in job accessibility research. The research outcomes also contribute to the literature on spatial mismatch by revealing the unique relationship between job accessibility, housing, and population in urban China.     

Constructing a mixed-logit model with market positioning to analyze the effects of new mode introduction

This study aims to investigate how the introduction of high-speed rail (HSR) influences traveler choice behavior and the market structure in the western corridor of Taiwan. A new mixed-logit model with factor decomposition is constructed to analyze the market positioning of the existing modes and HSR; the data is collected using the stated preference method. The empirical results show that travel cost is the major factor in market positioning. After the introduction of HSR, travelers’ mode preference did not change, whereas locations across modes on the market-positioning map as well as some coefficients of the explanatory variables changed.     

Assessing policy measures for the stimulation of intermodal transport: a GIS-based policy analysis

Intermodal transport is the combination and integration of several transport modes (such as rail, inland waterways with road transport). In order to make the transhipment easy and efficient standard loading units are used, such as containers or swap-bodies. As for the main haul, more environmental friendly modes are used (rail and inland waterways) and a modal shift towards these modes can help in reducing the congestion. Therefore several policies are directed to stimulate the intermodal transport market.In this paper, a location analysis model for Belgian intermodal terminals (LAMBIT) is developed and used to assess different policy measures in Belgium. The simulations show that the different policy measures oriented towards the rail/road and inland waterways/road combinations should be incorporated in a coherent, integrated vision, in order to not create a modal shift between the different intermodal transport options. The methodology can easily be extended towards a European scale.     

航空旅客周转量与第三产业增长关系实证研究

新型运输方式与第三产业增长关系的研究有利于相关基础设施建设科学统筹、合理规划,并带动区域经济发展。以航空运输为代表,选取甘肃省航空周转量与第三产业1978-2012年数据进行研究。通过E-G两步法、分布滞后模型和误差修正模型的构建,依次对二者之间的长期协整关系、短期贡献弹性进行测算。在此基础上,通过构建VAR（2）模型,分析得出目前甘肃省现代化运输方式发展严重滞后的结论,提出航空运输、高速铁路等新型运输方式与第三产业良性互动发展策略。     

Role of user's socio-economic and travel characteristics in mode choice between city bus and informal transit services: Lessons from household surveys in Visakhapatnam,India

Informally operated paratransit or Intermediate Public Transport (IPT) systems provide demand responsive transit in many developing countries, often competing with formal public transport systems. Literature on the relative user characteristics of the two modes and their choice behaviour between the systems is limited. This article addresses the gap by presenting a methodology to derive a comprehensive understanding of socio-economic and travel demand characteristics of all transit users in a city. The household survey based data collection and analysis framework is demonstrated for the case of Visakhapatnam, a medium sized Indian city. The variables impacting users' choice between the formal and informal modes were derived through binary logistic regression. It was observed that gender, income and travel time have a significant influence on users' choice between the modes, with waiting time having the maximum impact on mode choice. Therefore, the high frequency services offered by paratransit attract users making shorter trips.     

Addressing transit mode location bias in built environment-transit mode use research

Many studies have identified links between the built environment (BE) and transit use. However, little is known about whether the BE predictors of bus, train, tram and other transit modes are different. Studies to date typically analyze modes in combination; or analyze one mode at a time. A major barrier to comparing BE impacts on modes is the difference in the types of locations that tend to be serviced by each mode. A method is needed to account for this ‘mode location bias’ in order to draw robust comparison of the predictors of each mode.This study addresses this gap using data from Melbourne, Australia where three types of public transport modes (train, tram, bus) operate in tandem. Two approaches are applied to mitigate mode location bias: a) Co-located sampling – estimating ridership of different modes that are located in the same place; and b) Stratified BE sampling – observations are sampled from subcategories with similar BE characteristics.Regression analyses using both methods show that the BE variables impacting ridership vary by mode. Results from both samples suggest there are two common BE factors between tram and train, and between tram and bus; and three common BE factors between train and bus. The remaining BE predictors – three for train and tram and one for bus - are unique to each mode. The study's design makes it possible to confirm this finding is valid irrespective of the type of locations serviced by modes. This suggests planning and forecasting should consider the specific associations of different modes to their surrounding land use to accurately predict and match transit supply and demand. The Stratified sampling approach is recommended for treating location bias in future mode comparison, because it explains more ridership variability and offers a transferrable approach to generating representative samples.