Case Studies on Transport Policy最新文献

Capacited range coverage location model for electric vehicle charging stations: A case of Istanbul-Ankara highway 电动汽车充电站容量范围覆盖定位模型：伊斯坦布尔-安卡拉高速公路案例

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-11-14 DOI: 10.1016/j.cstp.2024.101320

Beste Desticioglu Tasdemir , Erdinç Koç , Ahmed İhsan Simsek

It is clear that the rate of use of electric vehicles is increasing day by day due to growing environmental concerns of consumers, scarcity of natural resources, increasing awareness of renewable energy sources, following technological progress, and the cost advantage it has for individual or corporate users. One of the most important drawbacks of electric vehicles is their low range. With the studies carried out in battery technology, it is aimed to increase the range distance. However, when the range distances of today’s electric vehicles considered, vehicle owners demand to recharge as soon as possible on long distances. While electric vehicle owners have the opportunity to perform many activities during charging in the city, they do not have such opportunities in intercity traffic such as on highways. For this reason, the waiting times for charging stations on intercity roads should be reduced and their availability should be increased. In this study, the Istanbul-Ankara highway, one of the most frequently used highways in Turkey, is considered. It is aimed to reach the minimum number of charging stations that meet the assumptions. The capacited range coverage location model is used to solve a real-life problem by considering the distances between fuel stations and resting facilities on this highway. With the modifications made to the base model, the obtained model has become more suitable for use in real life problems. With the results obtained, it is stated in which gas station or resting facility charging stations should be installed on the highway.

很明显，由于消费者对环境的日益关注、自然资源的稀缺、对可再生能源认识的提高、技术的进步以及电动汽车对个人或企业用户的成本优势，电动汽车的使用率与日俱增。电动汽车最重要的缺点之一是续航能力低。通过对电池技术的研究，人们希望增加续航里程。然而，考虑到当今电动汽车的续航距离，车主要求在长途行驶时尽快充电。虽然电动汽车车主在城市中充电时有机会进行许多活动，但在高速公路等城际交通中却没有这样的机会。因此，应缩短城际道路充电站的等待时间，并增加其可用性。本研究以土耳其使用最频繁的高速公路之一伊斯坦布尔-安卡拉高速公路为研究对象。其目的是达到符合假设的充电站最低数量。考虑到该高速公路上加油站和休息设施之间的距离，我们使用容许范围覆盖位置模型来解决现实生活中的问题。在对基础模型进行修改后，得到的模型更适合用于解决实际问题。根据所获得的结果，说明了应在高速公路上的哪个加油站或休息设施中安装充电站。

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引用次数: 0

Forecasting national port cargo throughput movement using autoregressive models 利用自回归模型预测全国港口货物吞吐量的变动情况

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-11-10 DOI: 10.1016/j.cstp.2024.101322

Dionicio Morales-Ramírez, Maria D. Gracia, Julio Mar-Ortiz

Port services demand planning plays an important role in port capacity planning and management. It enables ports to anticipate, prepare for, and respond to changes in demand, fostering operational excellence and customer satisfaction in the port and maritime industry. This article explores the use of a multivariate forecasting model to predict port cargo throughput movement at a national level considering macroeconomic indicators. The statistical model is used to analyze how the port cargo throughput movement in Mexico is affected by changes in the level of industrial activities in both Mexico and the United States, and to generate a projection of the national port cargo throughput movement for the upcoming years. To achieve this, a multivariate time series analysis with vector autoregressive models was constructed using monthly frequency data from 2010 to 2022. The results of the autoregressive model indicate that the proposed macroeconomic variables have a Granger-causal effect on port cargo throughput movement. It was also found that an incremental shock from the U.S. economy has a positive effect that is transmitted temporarily during the first six immediate months, while changes in the national economic activity also have a temporary positive effect, but only during the first immediate period. Traditional forecasting performance metrics are used to evaluate the effectiveness of the proposed model.

港口服务需求规划在港口能力规划和管理中发挥着重要作用。它使港口能够预测、准备和应对需求变化，促进港口和海运业的卓越运营和客户满意度。考虑到宏观经济指标，本文探讨了如何使用多元预测模型来预测国家层面的港口货物吞吐量变化。该统计模型用于分析墨西哥港口货物吞吐量的变化如何受到墨西哥和美国工业活动水平变化的影响，并对未来几年的全国港口货物吞吐量变化进行预测。为此，利用 2010 年至 2022 年的月频数据，构建了向量自回归模型的多变量时间序列分析。自回归模型的结果表明，所提出的宏观经济变量对港口货物吞吐量变动具有格兰杰因果效应。研究还发现，来自美国经济的增量冲击会产生积极影响，这种影响会在紧接着的前六个月内暂时传递，而国家经济活动的变化也会产生暂时的积极影响，但仅限于紧接着的第一阶段。传统的预测性能指标被用来评估拟议模型的有效性。

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引用次数: 0

Impacts of electric vehicles and environmental policy stringency on transport CO2 emissions 电动汽车和环境政策的严格性对交通运输二氧化碳排放的影响

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-11-07 DOI: 10.1016/j.cstp.2024.101330

Junwook Chi

This paper aims to fill the existing gap in the literature by examining the roles of electric vehicles (EVs) and the stringency of environmental policies in reducing carbon emissions from transportation. Using a novel method of moment quantile regression (MMQR), this study investigates the impacts of EV adoption, environmental policy stringency, economic growth, commercial transportation services, and renewable energy on transport sector’s CO₂ emissions. The results indicate that the influence of EV adoption on transport emissions varies across different quantiles. While the adoption of EVs is not significantly associated with transport CO₂ emissions at the high quantile level, a significant relationship is found in the low and middle quantiles. More importantly, transport CO₂ emissions demonstrate a significant negative correlation with the stringency of environmental policies across all quantiles. Our results highlight that the combined impacts of EVs and stringent environmental policies are more pronounced in alleviating carbon emissions compared to their individual effects. These findings hold intriguing implications for policy discussions, suggesting that EVs, along with rigorous environmental policies, offer a viable pathway to mitigate carbon emissions in the transportation industry. Furthermore, this study confirms the existence of an inverted U-shaped Kuznets curve in the context of the relationship between economic growth and transport-related emissions, implying that policies promoting economic growth might be seen as environmentally sustainable in the long term.

本文旨在通过研究电动汽车（EV）和环境政策的严格程度在减少交通碳排放方面的作用，填补现有文献的空白。本研究采用矩量回归（MMQR）的新方法，研究了电动汽车的采用、环境政策的严格程度、经济增长、商业运输服务和可再生能源对交通部门二氧化碳排放的影响。研究结果表明，电动汽车的采用对交通部门二氧化碳排放的影响在不同的量级上有所不同。虽然在高量化水平上，电动汽车的采用与交通部门的二氧化碳排放量没有显著关系，但在低量化和中量化水平上，两者之间存在显著关系。更重要的是，在所有量级中，交通二氧化碳排放量与环境政策的严格程度呈显著负相关。我们的研究结果表明，电动汽车和严格的环境政策对减少碳排放的综合影响比它们各自的影响更为明显。这些研究结果对政策讨论具有引人入胜的意义，表明电动汽车与严格的环境政策一起，为减少交通行业的碳排放提供了一条可行的途径。此外，本研究还证实，在经济增长与交通相关排放之间存在倒 U 型库兹涅茨曲线，这意味着促进经济增长的政策可能被视为具有长期环境可持续性。

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引用次数: 0

Comparative analysis of perceived quality of bus services in different socioeconomic and cultural urban contexts: Tangier (Morocco) and Oviedo (Spain) 对不同社会经济和文化背景下城市公交服务质量的比较分析：丹吉尔（摩洛哥）和奥维耶多（西班牙）

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-11-05 DOI: 10.1016/j.cstp.2024.101321

Shireen Al Suleiman , Andres Monzon , Elena Lopez , Adriana Cortez

Understanding how socioeconomic and cultural factors shape the perception of public transport (PT) services is crucial for improving urban mobility. This study investigates user satisfaction with bus services in Tangier, Morocco, and Oviedo, Spain—two medium-sized cities representing contrasting socioeconomic and cultural contexts. The objective is to assess bus service attributes by identifying and comparing them between the two cities to improve the quality of public transport services. The comparison also highlighted the two cities’ different socioeconomic and cultural contexts.

The research was based on customised surveys that collected 1,271 answers from bus users in Tangier and 970 in Oviedo. Then, an analytical method was applied, integrating Classification and Regression Tree (CART) and Importance-Performance Analysis (IPA). These methods were used to determine key factors affecting user satisfaction and to evaluate the importance and performance of various service attributes. The relevant factors identified were comfort, accessibility, ticket pricing, and service information.

Significant differences in user perceptions were identified. Oviedo excels in comfort, service information, and accessibility, reflecting the maturity of its public transport system. While showing higher satisfaction with ticket prices, Tangier has a younger population that relies heavily on public transport for daily needs. In contrast, Oviedo has a broader age range of users and a higher proportion of women and elderly passengers. Additionally, Oviedo faces challenges in service frequency and availability on weekends and holidays. The analysis suggests that insights from Oviedo’s system can improve service quality in Tangier by adapting best practices to local conditions. The findings underscore the importance of tailoring public transport policies to socioeconomic and cultural contexts to enhance user satisfaction and promote sustainable urban mobility in cities with varying levels of development.

了解社会经济和文化因素如何影响人们对公共交通（PT）服务的看法，对于改善城市交通至关重要。本研究调查了用户对摩洛哥丹吉尔和西班牙奥维耶多公交服务的满意度，这两个中型城市代表了截然不同的社会经济和文化背景。目的是通过识别和比较两个城市的公交服务属性来评估公交服务质量，从而提高公共交通服务质量。这项研究以定制调查为基础，在丹吉尔和奥维耶多分别收集了 1,271 份和 970 份公交用户问卷。然后，采用了一种分析方法，将分类与回归树（CART）和重要性-绩效分析（IPA）结合起来。这些方法用于确定影响用户满意度的关键因素，并评估各种服务属性的重要性和性能。确定的相关因素包括舒适度、可达性、票价和服务信息。奥维多在舒适度、服务信息和可达性方面表现出色，反映了其公共交通系统的成熟度。丹吉尔对票价的满意度较高，但丹吉尔人口较年轻，日常需求主要依赖公共交通。相比之下，奥维耶多的乘客年龄跨度更大，女性和老年乘客比例更高。此外，奥维多在周末和节假日的服务频率和可用性方面也面临挑战。分析表明，从奥维耶多系统中获得的启示可以通过根据当地情况调整最佳实践来提高丹吉尔的服务质量。研究结果强调了根据社会经济和文化背景调整公共交通政策的重要性，以提高用户满意度，促进不同发展水平城市的可持续城市交通。

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引用次数: 0

Online exams in higher education: A possible solution to avoid unnecessary car trips 高等教育中的在线考试：避免不必要乘车出行的可行解决方案

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-11-05 DOI: 10.1016/j.cstp.2024.101318

Sergio Maria Patella , Francesco Maria Olivieri , Leonardo Zamberlan

Distance learning represents a form of remote participation, resulting in avoidance of commuting trips. After the end of the pandemic emergency, the progressive return to in-person exams is expected to generate a significant volume of car trips, especially for those telematic universities that in the last few years have experienced an impressive growth in students’ enrolment. This research presents the case study from Universitas Mercatorum, the University of the Italian Chambers of Commerce. Through a survey-based methodology, this study aims at estimating the students’ travel demand to take exams in case of full return to traditional in-person format. Following a Well-to-Wheel approach, this study also performs a transport-related greenhouse gas (GHG) emissions assessment. Results show that car is the most used mode (51 %), and a total amount of about 40 million vehicle-kilometres travelled per year is expected. This translates into about 9 thousand tonnes of CO2eq emissions per year. However, the stated preference experiment highlights that 37 % of motorized private transport users (cars and motorbikes) might shift to rail and 37 % of car users are willing to carpool.

远程学习是一种远程参与的形式，可以避免通勤。在大流行病紧急状态结束后，逐步恢复面授考试预计将产生大量的汽车出行，尤其是对于那些在过去几年中学生注册人数增长显著的远程大学而言。本研究介绍了意大利商会大学（Universitas Mercatorum）的案例研究。通过调查方法，本研究旨在估算在完全恢复传统面授形式的情况下，学生参加考试的出行需求。按照 "从井底到车轮"（Well-to-Wheel）的方法，本研究还进行了与交通相关的温室气体（GHG）排放评估。结果显示，汽车是最常用的出行方式（51%），预计每年的总出行量约为 4000 万汽车公里。这相当于每年排放约 9000 吨二氧化碳当量。然而，陈述偏好实验表明，37% 的机动私人交通用户（汽车和摩托车）可能会转向铁路，37% 的汽车用户愿意拼车。

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引用次数: 0

Fuelling the pandemic: The impact of fuel prices on COVID-19 为大流行病加油：燃料价格对 COVID-19 的影响

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-11-02 DOI: 10.1016/j.cstp.2024.101314

Vincenzo Alfano , Salvatore Capasso

In 2022 the COVID-19 pandemic coincided with a surge in global fuel prices, particularly affecting Italy. This study explores the impact of rising fuel costs on public transportation usage and its influence on the spread of airborne viruses. As fuel prices increased, private vehicle users were incentivized to shift to public transportation, raising concerns about a potential rise in COVID-19 cases. Using a hybrid model with F-GLS estimators, we find that higher fuel prices are correlated with increased COVID-19 cases, though this effect diminishes with greater public transportation availability. We estimate that when public transportation capacity falls below 6,500 seats per capita per kilometre, case numbers rise. Thus, robust public transportation systems may help limit the spread of airborne viruses, while inadequate systems could exacerbate transmission.

2022 年，在 COVID-19 大流行的同时，全球燃料价格飙升，意大利受到的影响尤为严重。本研究探讨了燃料成本上升对公共交通使用的影响及其对空气传播病毒的影响。随着燃料价格上涨，私家车用户受到刺激而转向公共交通，这引发了人们对 COVID-19 病例可能增加的担忧。通过使用 F-GLS 估计器的混合模型，我们发现燃料价格上涨与 COVID-19 病例增加相关，但随着公共交通可用性的提高，这种影响会减弱。我们估计，当公共交通容量低于人均每公里 6,500 个座位时，病例数会上升。因此，强大的公共交通系统可能有助于限制空气传播病毒，而不完善的系统则可能加剧传播。

引用次数: 0

COVID-19 and its influence on the propensity to work from home between March 2020 and June 2021 COVID-19 及其对 2020 年 3 月至 2021 年 6 月期间在家工作倾向的影响

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-11-02 DOI: 10.1016/j.cstp.2024.101319

David A. Hensher, Matthew J. Beck, Camila Balbontin

The COVID-19 pandemic has had a significant impact on the world of work. With growing support and preference revelation from both employees and employers, we might anticipate a settling in of working from home around one to two days a week, varying by occupation depending on the ability to work remotely. Although there are a growing number of studies that have analysed data collected at a point in time or over time during the pandemic, there is now sufficient time and data to treat the waves of collected data as a repeated cross section that is jointly modelled to assess systematically, the changing roles of various influences on the proportion of working days that are worked from home. This paper estimates random effects regression models for the Greater Sydney Metropolitan Area and South-East Queensland over four waves of data collected in 2020 and 2021, where this last one represents a period with almost full vaccinations and minimum restrictions (i.e., ‘new normal’). By jointly estimating four waves of data within a single modelling framework, we are able to track the changing roles of the influences found to be statistically significant across the waves. The elasticity outputs reveal how these influences impact on the propensity to WFH, giving clues on whether we were starting to see a stabilisation of WFH activity mid-way in the pandemic period that can be reflective of a ‘new normal’. Results are very supportive of employees’ preferences, suggesting that those that feel the same or more productive when working from home relative to going to the office, are more likely to working from home relative to those that feel less productive.

COVID-19 大流行对工作领域产生了重大影响。随着雇员和雇主对在家工作的支持和偏好不断增加，我们可以预见，在家工作将逐渐成为一种趋势，每周大约有一到两天的时间在家工作，不同职业的情况会有所不同，这取决于远程工作的能力。尽管有越来越多的研究分析了在大流行期间某一时点或一段时间内收集到的数据，但现在有足够的时间和数据将收集到的数据作为一个重复的横截面来处理，并对其进行联合建模，以系统地评估各种影响因素对在家工作的工作日比例所起的不断变化的作用。本文估计了大悉尼都市区和昆士兰东南部在 2020 年和 2021 年收集的四波数据的随机效应回归模型，其中最后一波数据代表了几乎全面接种疫苗和最低限制（即 "新常态"）的时期。通过在单一建模框架内对四波数据进行联合估算，我们能够跟踪在统计上具有显著意义的影响因素在各波数据中的作用变化。弹性输出结果揭示了这些影响因素对全职工作倾向的影响，为我们提供了线索，说明我们是否开始看到全职工作活动在大流行病中期趋于稳定，从而反映出一种 "新常态"。研究结果非常支持员工的偏好，表明那些在家工作时感觉与去办公室工作效率相同或更高的员工，相对于那些感觉工作效率较低的员工，更倾向于在家工作。

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引用次数: 0

Simulation modeling of passengers flow at airport terminals to reduce delay and enhance level of service 机场航站楼客流仿真建模，以减少延误并提高服务水平

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-10-29 DOI: 10.1016/j.cstp.2024.101312

Sharaf AlKheder, Salma Alhadeyah, Zahra Albaghli

Passenger delays are considered as global issues that influence the overall efficiency of an airport and competitiveness as well as restricting terminal developments. This paper studied Kuwait International Airport Terminal 4 (T4); a new expansion of the old airport. This study mainly aims to analyze the influence of the design on passenger flow in T4 and how it affected the capacity in addition to obtain a path for the passenger movement from the terminal entrance until they reach the gate of the aircraft and vice versa through CAST simulation model. The effect of the T4 design on the overall efficiency was found, the current flow conditions were analyzed and compared with the required Level of Service (LOS) and several developments and expansions were suggested. Passengers flow was studied to improve passenger experience, increase operational efficiencies, maximize retail revenues and increase security effectiveness. It was indicated that customs and security facilities require expansion in areas during peak hours to maintain a high level of performance. However, the check in premium showed the minimum gap between queue capacity and the declared queuing size indicating the high level of service in this area. The results revealed that immigration queueing requires expansion. Moreover, queuing area provision indicates no capacity issues to cope with maximum queue size. The provision of immigration counters according showed no adequate queuing space to cope with MQS. It is recommended to increase the number of economy check-in counters.

旅客延误被认为是影响机场整体效率和竞争力以及限制航站楼发展的全球性问题。本文研究的是科威特国际机场 4 号航站楼（T4），它是老机场的新扩建部分。本研究的主要目的是分析 T4 航站楼的设计对客流的影响，以及如何影响其容量，此外还通过 CAST 仿真模型获得乘客从航站楼入口到飞机登机口的移动路径，反之亦然。研究发现了 T4 航站楼设计对整体效率的影响，分析了当前的客流状况，并将其与要求的服务水平（LOS）进行了比较，同时提出了若干发展和扩建建议。对客流进行了研究，以改善乘客体验、提高运营效率、最大限度地增加零售收入并提高安检效率。研究表明，海关和安检设施需要在高峰时段进行扩建，以保持较高的服务水平。然而，值机手续费显示排队能力与申报排队人数之间的差距最小，表明该区域的服务水平较高。结果显示，出入境排队区需要扩建。此外，排队区的提供情况表明在应对最大排队人数方面没有能力问题。出入境柜台的设置显示没有足够的排队空间来应对最大排队人数。建议增加经济舱值机柜台的数量。

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引用次数: 0

Optimization of transport sustainability index to conserve resources: A case study of Delhi, India 优化交通可持续性指数以节约资源：印度德里案例研究

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-10-29 DOI: 10.1016/j.cstp.2024.101316

Ashwani Gupta M.A.Sc. , Errampalli Madhu Ph.D.

The objective of the study is to propose a methodology for optimization of Transport Sustainability Index (TSI) of National Capital Territory (NCT) of Delhi since maximum value of TSI i.e. 1.0 will occur when all the sustainability indicators attain their extremum values simultaneously, which is highly improbable. TSI is estimated using 29 most appropriate transport sustainability indicators under four pillars of sustainability, viz. environmental, social, economic, and technological. Optimization of TSI involves following steps, viz. identification of three independent variables, i.e. fuel consumption (X₁), registered vehicles (X₂) and population (X₃) which influence all the indicators, data collection in respect of indicators and influencing variables for 30-year time period (from year 2000 to 2030), evolution of regression equations between indicators and influencing variables, and formulation of TSI as a multi-variate non-linear expression in terms of influencing variables, which is used for optimization. The generalized reduced gradient non-linear programming optimization technique is used to solve for the optimum values of influencing variables (X₁^opt, X₂^opt, X₃^opt) as 0.0988, 0.4709 & 0.0 respectively and optimum value of TSI (TSI^opt) as 0.71, which is 25% higher than the TSI of 0.59 for the year 2023–24. The knowledge of optimum value of TSI would help the city transport policy planners to allocate, only that much quantum of infrastructural and financial resources so as to reach optimum rather than extremum values, which leads to potential savings or conservation of resources. An overall notional savings of 58% has been estimated by the study.

本研究的目的是提出一种优化德里国家首都区（NCT）交通可持续性指数（TSI）的方法，因为当所有可持续性指标同时达到极值时，TSI 的最大值即 1.0 将出现，而这是极不可能的。TSI 是根据可持续发展的四大支柱，即环境、社会、经济和技术，使用 29 个最合适的交通可持续发展指标进行估算的。TSI 的优化包括以下步骤：确定影响所有指标的三个自变量，即燃料消耗量（X1）、注册车辆数（X2）和人口数（X3）；收集 30 年期间（从 2000 年到 2030 年）指标和影响变量的数据；建立指标和影响变量之间的回归方程；将 TSI 表述为影响变量的多变量非线性表达式，用于优化。利用广义梯度非线性编程优化技术，求解出影响变量的最优值（X1opt、X2opt、X3opt）分别为 0.0988、0.4709 & 0.0，TSI 的最优值（TSIopt）为 0.71，比 2023-24 年的 TSI 值 0.59 高出 25%。对 TSI 最佳值的了解将有助于城市交通政策规划者仅分配相应数量的基础设施和财政资源，以达到最佳而非极值，从而节省或保护潜在资源。研究估计，理论上可节省 58%的资源。

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引用次数: 0

The effect of airline service quality, perceived value, emotional attachment, and brand loyalty on passengers’ willingness to pay: The moderating role of airline origin 航空公司服务质量、感知价值、情感依恋和品牌忠诚度对乘客支付意愿的影响：航空公司来源的调节作用

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2024-10-28 DOI: 10.1016/j.cstp.2024.101313

Hany Ragab , Ana I. Polo-Peña , Abeer A. Mahrous

Passengers’ willingness to pay (WTP) has become a critical factor for airlines, particularly during the current political and economic conditions that have led to a massive increase in airline ticket prices. Nevertheless, the current literature on passengers’ WTP has concentrated on economic models that address supply and demand determinants, while marketing and psychological determinants still need further investigation. Therefore, this study aims to investigate how airline service quality, perceived value, emotional attachment, and airline brand loyalty influence passengers’ WTP for airline services, and to what extent passengers’ perceptions of airline origin can moderate these effects. Data were gathered using questionnaires and were analyzed using confirmatory factor analysis (CFA), structural equation modelling (SEM), and multi-group analysis. The results revealed that airline service quality, perceived value, and brand loyalty significantly contribute to passengers’ WTP. It also proved that passengers’ biased perceptions towards national airlines can strengthen the positive effects of these variables on their WTP for national airlines and vice versa for their WTP for foreign airlines. Finally, the study presented several theoretical contributions to airline travel literature and practical implications for airline service marketers.

乘客的支付意愿（WTP）已成为航空公司的一个关键因素，尤其是在当前政治和经济形势导致机票价格大幅上涨的情况下。然而，目前有关乘客 WTP 的文献主要集中在解决供需决定因素的经济模型上，而营销和心理决定因素仍需进一步研究。因此，本研究旨在探讨航空公司服务质量、感知价值、情感依恋和航空公司品牌忠诚度如何影响乘客对航空公司服务的 WTP，以及乘客对航空公司起源的感知在多大程度上可以调节这些影响。研究使用问卷收集数据，并使用确证因子分析（CFA）、结构方程建模（SEM）和多组分析对数据进行分析。结果显示，航空公司服务质量、感知价值和品牌忠诚度对乘客的 WTP 有显著影响。研究还证明，乘客对本国航空公司的偏见会加强这些变量对其本国航空公司 WTP 的积极影响，反之亦然。最后，该研究为航空旅行文献提供了若干理论贡献，并对航空服务营销人员产生了实际影响。

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引用次数: 0