基于层次分析法的交通方式选择及评价研究

结合铁路、公路、航空运输的特点,分析以西安为中心的陕西地区客流现状及发展趋势,以及影响旅客交通方式选择的因素,进而构建交通方式选择评价模型,运用层次分析法与模糊综合评判实现模型求解,确定旅客交通方式的选择.以陕西地区为例,计算得到高速铁路的总评价值最高,为旅客出行和合理构建交通结构提供参考.     

机场陆侧车道边布局模式研究

航站楼车道边是指机场航站楼前供车辆通行、停靠和供旅客进出航站楼的道路.从功能上来说,车道边是指机场陆侧供车辆停靠、旅客上下车的道路,在此区域,旅客可实现步行或乘坐地面交通工具进出机场的转换过程.因此,机场陆侧这样的区域都可以称为“广义的车道边”.为了解决航站楼车道边的拥挤状况,机场设计者常常在地面交通中心或者停车库内部设置等候区车道边.     

基于贝叶斯网络的高速铁路旅客出行方式预测研究

为准确地预测高速铁路综合客运枢纽地区的旅客出行方式比例,以高速铁路旅客出行方式为研究对象,分析高速铁路旅客选择不同交通方式的影响因素,建立基于贝叶斯网络的高速铁路旅客出行方式选择模型。以宜昌东站为例,结合高速铁路旅客出行调查数据,应用SPSSModeler软件对所建立的模型进行验证评估,并对高速铁路旅客选择不同出行方式的比例进行预测。结果表明,该模型能较全面地考虑高速铁路旅客出行选择的影响因素,对预测高速铁路综合客运枢纽地区旅客的出行方式具有较好的适用性,预测精度较高。     

宁波市县交通客流分担率预测及影响因素分析

为掌握市县交通旅客出行特点,合理规划市县都市交通圈建设,提升都市圈同城效用水平,推动区域经济发展,在概述市县交通出行方式及其影响因素的基础上,构建基于Logit模型的市县交通客流分担率预测模型,采用SPSS软件中的多项Logit回归模型进行检验和求解。以宁波市县交通为例,基于市县交通客流分担率Logit预测模型对宁波市至5个县级市的市县交通客流分担率进行预测,并对宁波市县交通出行方式选择的影响因素进行敏感性分析,经验证预测结果与实际相符。     

综合运输体系下客运结构合理配置模型及算法

分析在多种交通方式存在情况下乘客的交通选择行为,并基于随机效用理论和层次分析法构造了综合运输体系下客运结构合理配置模型及算法。考虑到我国现阶段收入水平是影响旅客交通方式选择的主要因素,将旅客划分为4类,并计算分析得到各类旅客的出行选择结果。该模型可用于客运市场份额预测,为优化配置交通运输资源提供理论依据。     

弹性需求条件下旅客列车客流分配研究

结合铁路客运路网及列车开行方案,构造了列车运行网络,将旅客的出行方案转化为列车运行网络上的路径,并根据列车运行网络,计算网络中不同路径旅客的出行广义费用,结合铁路旅客运输的特点,提出路段拥挤费用的计算公式.根据运输方式客流分担的Logit模型,推导出铁路运输客运需求函数,分析客运需求函数的合理性.最后,建立弹性需求条件下旅客列车的客流分配模型,并给出模型的求解算法.     

基于航司数字化转型的机场业务研究

航司数字化转型是新一代信息技术发展在民航业的必然驱动力。通过数字化转型,实现航司产品直销,打破代理人分销模式,增强航司的营收能力。具体包括三个方面:构建数字业务模型、构建数字运行模型、构建数字人力资源与技能。其中数字业务模型与机场业务关联密切。通过研究基于航司数字化转型的机场业务,实现机场特色业务辅助航司打包、集成、销售,并实现双方产品互售,对旅客提供更多的选择、购买及方便出行的便利条件,提升旅客出行体验,切实践行"真情服务"。     

铁路旅客出行时段与乘车方式的联合选择行为研究

为优化旅客列车开行方案,更好地满足旅客出行需求,通过对成渝高速铁路出行旅客的问卷调查及样本数据的收集整理,阐述旅客出行特征,基于随机效用最大化理论,以出行时段与乘车方式作为选择肢,各类旅客主体、出行特性及列车服务特性指标作为效用变量,构建出行时段位于上层、乘车方式位于下层的Nested Logit模型,较为准确地描述铁路旅客的出行选择行为。参数标定及结果表明,除出行目的、收入状况及旅客自身偏好外,列车开行方案等供给因素会更为显著地影响旅客对出行时段与乘车方式的选择。     

京沪高速客运通道旅客出行选择影响因素研究

为深入研究旅客出行选择影响因素间的关系,依据非集计理论,以京沪高速客运通道旅客调研数据为基础,建立旅客出行方式选择的BinaryLogit模型,并采用决策树方法对BinaryLogit模型所得结果进行分类。研究结果表明,年龄影响为非线性且区分度较低,收入、性别、出行人数、费用来源影响较大,其中收入为最主要影响因素,而且不同收入水平下的影响因素存在差异,呈现出低收入独自公费女性、中等收入独自女性及较晚出行男性、高收入2人以内旅客更偏好民航。模型较好地描述了旅客出行选择影响因素,能够为高速铁路与民航设计符合不同类型旅客的客运产品提供依据。     

基于C-TODIM决策方法的城际出行方式选择模型研究

出行方式选择是一种多属性且各属性具有一定模糊特性的决策问题。综合应用Choquet模糊积分和TODIM决策方法,提出改进的C-TODIM决策方法。针对旅客出行特征,以某城际客运通道为研究背景,分析交通工具的经济性、准时性、快速性、安全性、舒适性和便捷性对旅客城际出行方式选择行为的影响,通过改变各属性模糊测度进行模型参数灵敏度分析,并与经典TODIM决策方法得出的结果进行比较分析,论证该模型的有效性和准确性,为出行方式选择行为研究提供一种可靠的参考。     

Segmentation of passenger preferences for using digital technologies at airports in Norway

Airports are increasingly focused on implementing digital technologies at key stages of the airport journey to enhance the passenger experience. However, passengers have different preferences. TwoStep Cluster Analysis is used to reveal the presence of distinct segments according to their preferences. The findings are based on a survey of 6082 passengers at airports in Norway. Three distinct segments are identified: those that prefer traditional manual processes, those that prefer automated technology-based processes, and those that prefer more personalised technology-based processes. Significant differences are revealed for each segment according to passenger and trip characteristics and opinions regarding how the use of digital technologies at airports impact on personal privacy and human dignity. The findings contribute to knowledge on passenger preferences at airports and can help to inform airport decision making.     

Investigating factors that influence passengers' shopping intentions at airports – Evidence from Taiwan

This study examines the influence of passengers' socio-demographic characteristics, trip characteristics and perceptions of airport shopping on their shopping intentions at airports. We collected a sample of passenger survey data at two major international airports in Taiwan. Two primary shopping intentions, namely pre-planned shopping and impulse shopping, are identified based on the results of factor analysis. A seemingly unrelated regressions (SUR) model is then adopted to measure the relationships between the two buying tendencies and potential determinants. Passengers' perceptions of airport shopping show positive impacts on their shopping intentions. The SUR results also reveal significant differences among the personal profiles of passengers in determining various shopping tendencies.     

Analyzing passenger behavior in airport terminals based on activity preferences

Airport terminals are facilities that provide a variety of activities related to both the preparation of the passengers for their air trip (aeronautical) and their free time inside the terminal (non-aeronautical). In the last years, the number of non-aeronautical activities has substantially increased and significantly diversified both before and after the security checkpoint. The established role of non-aeronautical activities forces planners and managers to better understand passenger behavior. The potential of discrete choice models for the exploration of passenger behavior is analyzed in this paper. For the demonstration of the methodology, Lisbon Humberto Delgado International airport is used as a case study. Data is collected through a revealed and stated preference survey inside the terminal at the area before the security checkpoint. Activity-choice models are developed to identify the factors that affect the choices of the passengers over the area where they conduct non-aeronautical activities. Forecasts show that when increasing the percentage of passengers who conduct the check-in online and have planned their activities before arriving at the airport, the passengers’ preferences to conduct non-aeronautical activities only after the security checkpoint increase. This paper shows the contribution of developing discrete choice models in the better comprehension of passenger decisions over the activities they perform in an airport terminal.     

Estimating hourly variations in passenger volume at airports using dwelling time distributions

A mathematical model using a probability density function of the terminal dwelling time distribution is developed to estimate the number of passengers arriving at an airport terminal at various times. A two-way ANOVA that tests the effects on different airports and access time durations were carried out, and the results showed a significant difference between terminal dwelling times among airports. The paper also provides some insight into airport terminal operation when there are significant changes to flight schedules and the introduction of new airlines, etc.     

An exploratory examination of additional ground access trips generated by airport ‘meeter-greeters’

A significant share of airport passengers are accompanied to and/or from the airport by friends and relatives to wave them off or greet them when they land. At some airports the number of these ‘meeter-greeters’ can be substantial, which can have important ground access planning, economic and environmental implications for the airport operator. Yet this group have received comparatively little attention in either the academic or industry literature. Consequently, to some extent ‘meeter-greeters’ have remained something of a ‘hidden’ element of ground access user. In an attempt to address this, the paper uses secondary data analysis of the UK CAA Passenger Survey Report to explore ‘meeter-greeters’ at five UK airports; Heathrow, Gatwick, Manchester, Stansted and Luton. Focus is given to assessing the scale of ‘meeter-greeter’ journeys and the role of a passenger's trip purpose (business/leisure) and resident status (resident/non-resident) in this process. A key finding from the analysis relates to the disproportionate impact of multi-person trips, where a number of different ‘meeter-greeters’ accompany a passenger to the airport. The implications of these findings are discussed and a number of recommendations for decision makers proposed. Namely, it is suggested that airport monitoring and assessment procedures should incorporate a measure of the additional trip generation by ‘meeter-greeters’ in order to present a more complete picture of the number of people accessing/egressing an airport.     

The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports

We empirically study passenger modal-choice behavior to access an international hub airport, by using stated preference (SP) data and by constructing a binomial logit model. We found that passenger modal choice is affected by the service level of the access modes: travel time, travel cost, waiting time, and delay cost. The results also indicate that if passengers choose access mode in advance they consider service frequency: departure timing from home, and the arrival timing at the airport. Moreover, our results indicate that travelers’ willingness to pay for saving time differs by time of a day. They are apt to pay more in the morning than in the afternoon. These outcomes must contribute to improve the access flight service from local to hub airports to handle the needs of passengers.     

Segmentation of passengers using full-service and low-cost carriers – Evidence from Taiwan

Low-cost carriers in Taiwan have rapidly drawn a large number of passengers away from full-service carriers in recent years. However, many passengers still stick with traditional airlines as their primary air carriers. These two groups of passengers should differ in terms of their personal and trip characteristics, valuations of factors in determining an airline, and perceptions of need for ancillary services. The present paper compares the profiles of passengers using different types of air services in Taiwan using data collected from an online survey and assesses the potential of principal component analysis with biplot technique to define different passengers based on their preferences of services and valuations of the importance of factors. Our study shows that passengers of full-service and low-cost carriers have different trip characteristics; principal component analysis is applicable for this context of passenger profile segmentations.     

Resilience of passenger boarding strategies to priority fares offered by airlines

Increased efficiency of airplane boarding via the jetway is achieved by sequencing passengers at the airport terminal. Various strategies have been developed and implemented at airports. However, even the best strategy can be distorted by the airlines priority fare. Priority passengers board in a random order which destroy the desired boarding sequence. This causes the aircraft aisle to be blocked in different locations. The article analyses the sensitivity of most common boarding strategies to the number of priority passengers. The article gives an example for Airbus A320 with single aisle cabin, configured in 30 rows of 6 seats each. To investigate this issue an original simulation model was developed, which allows to estimate the impact of the number of passengers with priority on the implementation of selected boarding strategies. The results obtained are astonishing. Such distortions have a negative impact on some strategies, while for some strategies better results are obtained. This discrete event based simulation model allows the process manager to choose the appropriate strategy or to abandon the jetway and use the airport stairs to avoid or reduce delaying the aircraft.     

Evaluation of level of service for transfer passengers at airports

Transfer passengers have quite different needs than those of originating and terminating passengers. For example, they do not make use of airport access roads. Other facilities may or may not be used depending on the type of transfers, the airport's operational configuration and the airline services. Despite the increasing importance of transfer passengers for airport operations, little research has been done to determine their needs. This study analyses transfer passengers’ views on the quality of services at the terminal building, using data collected at Bandaranaike International Airport in Sri Lanka, which aspires along with the airline ‘Sri Lankan’ to be a major hub for South Asia. Regression analysis was used to identify the transfer passenger facilities and services with the strongest effect on the overall perception of level of service. The application of regression analysis to the data collected at Bandaranaike International Airport shows that the courtesy of the security check staff and the quality of the Flight Information Display are among the most valued by transfer passengers at that airport.     

Analysis of ground access modes choice King Khaled International Airport, Riyadh, Saudi Arabia

Airports are vital to the transportation system because air travel is the fastest means of transporting people and goods around the world. Airports also connect aviation systems with other modes of transportation.As a result, access modes to airports are critical to the aviation system, and studying air passenger decisions regarding mode choice is an essential part of airport management and system planning.Though there has been systematic analysis of car use to access airports, there has been less systematic attention to the use of the public transport system, especially the taxi service. The aim of this study is to identify King Khaled International Airport (KKIA) access mode characteristics and users, which has not been investigated previously concentrating on the mix between car and taxi using data collected specifically for this research.More than half (55.5%) of the travelers surveyed arrived at KKIA by private car; taxi and limousine passengers accounted for 42.2% of the sample. The Saudi Public Transit Company (SAPTCO), transported only 2.3% of the air passengers surveyed. These results are similar to findings for an airport in the United States and very different from findings for an airports in the East (e.g., Hong Kong).A binary logit model was developed to evaluate the access mode choice. It was found that income, luggage, travel access time, and nationality significantly affect mode choice.Results provide insight for improved planning of access to KKIA.