Research in Transportation Business and Management最新文献_第10页

Corrigendum to “Tourist perceptions of robotaxis through perceived risk theory and technology acceptance model: Focusing on the ICT development index” Research in Transportation Business & Management, Volume 64, January 2026, 101526, start page 1–15 “通过感知风险理论和技术接受模型对自动驾驶出租车的游客感知：关注ICT发展指数”，《交通运输商业与管理研究》，第64卷，2026年1月，101526，开始页1-15

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-10-25 DOI: 10.1016/j.rtbm.2025.101542

Jinsoo Hwang , Heather Markham Kim , Jinpyo Park , Noman Sahito , Ja Young Jacey Choe

引用次数: 0

Examining couriers' job satisfaction in instant delivery services: A structural equation model with multi-group analysis based on Maslow's hierarchy of needs theory 即时配送服务中快递员工作满意度研究：基于马斯洛需求层次理论的多群体结构方程模型

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-11-28 DOI: 10.1016/j.rtbm.2025.101566

Miaojia Lu , Rui Liu , Gonçalo Homem de Almeida Correia , Kuldeep Kavta , Chengyuan Huang

With the rapid growth of instant delivery services in China, the number of couriers is rising due to low entry barriers such as minimal educational requirements, flexible hours, and competitive salaries. However, the industry faces challenges like excessive workloads and high accident rates, which could reduce couriers' job satisfaction. While the literature on couriers' job satisfaction is extensive, the application of holistic needs-based theories remains unexplored, particularly through advanced quantitative methods. This study operationalizes Maslow's Hierarchy of Needs Theory (MHNT) as a multi-dimensional construct and incorporates it into a Structural Equation Modeling (SEM) framework to examine its hierarchical impact on job satisfaction. Additionally, it explores the impact of physical health, occupational discrimination, and new technologies on couriers' job satisfaction. To test the framework and derive a nuanced understanding of factors influencing courier job satisfaction, data from 490 couriers in Shanghai, China, and nearby areas was collected. To account for differences in employment types, the survey data was split into full-time and part-time courier groups, with a multigroup analysis conducted using a structural equation model. The results show differing factors influencing job satisfaction. Part-time couriers are significantly affected by compensation and working environment, while full-time couriers are, besides compensation and working environment, also influenced by career development. These findings enhance the understanding of work conditions and motivators for couriers across different employment types within the instant delivery sector, offering key insights to enhance courier job satisfaction and promote sustainable development of this business.

随着中国即时快递服务的快速发展，由于低门槛，如最低的教育要求、灵活的工作时间和有竞争力的工资，快递员的数量正在增加。然而，该行业面临着工作量过大和事故率高等挑战，这可能会降低快递员的工作满意度。虽然关于快递员工作满意度的文献广泛，但基于整体需求的理论的应用仍未得到探索，特别是通过先进的定量方法。本研究将马斯洛需求层次理论（MHNT）作为一个多维结构进行运作，并将其纳入结构方程建模（SEM）框架，以研究其对工作满意度的层次影响。此外，还探讨了身体健康、职业歧视和新技术对快递员工作满意度的影响。为了测试这一框架，并获得对影响快递员工作满意度因素的细致理解，我们收集了来自中国上海及附近地区490名快递员的数据。为了解释就业类型的差异，调查数据被分为全职和兼职快递组，并使用结构方程模型进行多组分析。结果表明，影响工作满意度的因素存在差异。兼职快递员受薪酬和工作环境的影响显著，全职快递员除受薪酬和工作环境的影响外，还受职业发展的影响。这些发现加深了我们对速递行业内不同职业类型的快递员的工作条件和激励因素的理解，为提高快递员的工作满意度和促进该行业的可持续发展提供了重要见解。

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引用次数: 0

Assessing the performance of airports in Indonesia based on game cross-efficiency DEA model 基于博弈交叉效率DEA模型的印尼机场绩效评估

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-11-06 DOI: 10.1016/j.rtbm.2025.101555

Andry Yuliyanto , Chania Rahmah , Nevin Geraldo Kosasih

Indonesia's air transport network plays a crucial role in national connectivity; however, the island-specific effects on airport performance remain understudied. The analysis covers 77 Indonesian airports from 2016 to 2023, applying a Game Cross-Efficiency Data Envelopment Analysis (DEA) model to capture competitive relationships among airports. Following this, Tobit regression and multi-period Difference-in-Differences (DiD) analysis identify efficiency drivers and isolate causal effects of ownership. The results show that evident regional disparities exist, with Java Island and Injourney-managed airports exhibiting higher efficiency. Specifically, key factors influencing efficiency include gross regional domestic product, unemployment, and airport location. Moreover, ownership transfer to Injourney led to a short-term decline in efficiency, followed by medium-term gains, whereas the pandemic caused severe and sustained disruption. Overall, the study emphasizes targeted investment in underperforming regions, tailored transition policies, and resilience planning to strengthen the air transport system.

印尼的航空运输网络在全国互联互通中发挥着至关重要的作用；然而，岛屿对机场性能的特定影响仍未得到充分研究。该分析涵盖了2016年至2023年的77个印度尼西亚机场，应用博弈交叉效率数据包络分析（DEA）模型来捕捉机场之间的竞争关系。在此基础上，Tobit回归和多期差异中差异（DiD）分析确定了效率驱动因素，并分离了所有权的因果效应。结果表明，区域差异明显，爪哇岛机场和injourney管理的机场效率更高。具体而言，影响效率的关键因素包括地区国内生产总值、失业率和机场位置。此外，所有权转让给Injourney导致了短期效率下降，随后是中期收益，而大流行病造成了严重和持续的破坏。总体而言，该研究强调对表现不佳的地区进行有针对性的投资，制定有针对性的转型政策，并制定弹性规划，以加强航空运输系统。

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引用次数: 0

Improved DEA model based on possibility degree theory for general aviation operational efficiency assessments 基于可能性度理论的通用航空运行效率评价改进DEA模型

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-10-21 DOI: 10.1016/j.rtbm.2025.101536

Shenzi Yang , Fan Li , Hong Sun

To assess the efficiency under different resource allocation scenarios and achieve a comprehensive efficiency ranking, based on flight training trainee panel data, this study uses egoistic and non-egoistic models to generate efficiency intervals. An attitude function is then incorporated into the possibility degree theory to achieve a complete ranking of training efficiency that considers the developmental preferences of trainees. The results show that most trainees achieve a good balance between flight training and team cooperation. Comparative results indicate that the proposed model is more stable than the super-efficiency model and more accurate than the virtual frontier model. The proposed method provides valuable insights into efficiency changes under different resource configurations, which offer guidance and optimization recommendations for both flight training institutions and trainees.

为了评估不同资源配置情景下的效率，实现综合效率排序，本研究基于飞行训练学员面板数据，采用自利和非自利模型生成效率区间。然后，在可能性度理论中引入态度函数，得到考虑学员发展偏好的完整培训效率排序。结果表明，大多数学员在飞行训练和团队合作之间取得了很好的平衡。对比结果表明，该模型比超效率模型更稳定，比虚拟边界模型更精确。该方法为不同资源配置下的效率变化提供了有价值的见解，为飞行训练机构和学员提供了指导和优化建议。

引用次数: 0

Corrigendum to “The impact of China's Transit Metropolis Pilot program on carbon emissions” Research in Transportation Business & Management 64 (2026) 101544 “中国交通大都市试点项目对碳排放的影响”的勘误表，交通运输管理研究64 (2026)101544

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-11-03 DOI: 10.1016/j.rtbm.2025.101552

Pengxiang Ding , Suwei Feng , Dorina Pojani

引用次数: 0

Low-cost carriers vs. high-speed rail? Difference in passenger's travel preferences in Shanghai and Chengdu 低成本航空公司vs高铁？上海和成都旅客出行偏好差异

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-11-29 DOI: 10.1016/j.rtbm.2025.101563

Hongliang Ding , Caiyin Dong , Yang Cao , Tiantian Chen , Hyungchul Chung

High-speed rail (HSR) and low-cost carriers (LCCs) have emerged as increasingly prominent modes of intercity travel, particularly in rapidly urbanizing regions. Understanding the determinants of passengers' mode choices is essential for informing transportation policy, optimizing infrastructure investments, and enhancing the overall travel experience. This study employs a stated preference (SP) survey to investigate these determinants in two distinct urban contexts: Shanghai and Chengdu. A total of 494 valid responses were collected in Shanghai and 524 in Chengdu, capturing data on sociodemographic attributes, attitudinal dispositions, and travel-related characteristics. To analyze this dataset, we integrated machine learning techniques with the SHAP (Shapley Additive Explanations) algorithm, enabling both high predictive accuracy and interpretability. Three models—random forest (RF), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost)—were evaluated, with the RF model demonstrating superior performance. This model was subsequently used to interpret the relative importance of influencing factors. The findings reveal that factors associated with HSR travel, such as service frequency, ticket price, and in-vehicle travel time, play a vital role in passengers' mode choice. Regional contrasts also emerged: passengers in Shanghai exhibited a stronger preference for LCCs, while those in Chengdu were more inclined toward HSR, particularly among price-sensitive travelers. Interestingly, travelers who prioritize safety, comfort, and convenience tended to favor LCCs in both regions, suggesting a shifting perception of LCC quality and reliability. Finally, this study presents targeted recommendations for both government and operators, focusing on enhancing market transparency, maintaining fare stability, adopting region-specific strategies, and improving safety, comfort, and convenience. The findings offer theoretical insights into the mechanisms driving passengers' choices between HSR and LCCs, along with practical implications for policymaking and strategic optimization.

高速铁路（HSR）和低成本航空公司（lcc）已经成为城际旅行日益突出的方式，特别是在快速城市化的地区。了解乘客选择出行方式的决定因素对于制定交通政策、优化基础设施投资和提高整体出行体验至关重要。本研究采用陈述偏好（SP）调查来调查两个不同城市背景下的这些决定因素：上海和成都。上海和成都分别收集了494份和524份有效问卷，收集了社会人口学属性、态度倾向和旅行相关特征的数据。为了分析该数据集，我们将机器学习技术与SHAP （Shapley Additive explained）算法集成在一起，实现了高预测准确性和可解释性。对随机森林（RF）、支持向量机（SVM）和极端梯度增强（XGBoost）三种模型进行了评估，其中RF模型表现出优异的性能。该模型随后被用于解释影响因素的相对重要性。研究结果表明，与高铁出行相关的因素，如服务频率、票价和车内出行时间，在乘客的出行方式选择中起着至关重要的作用。地区差异也出现了：上海乘客对低成本航空的偏好更强，而成都乘客更倾向于高铁，尤其是对价格敏感的旅客。有趣的是，在这两个地区，优先考虑安全性、舒适性和便利性的旅行者倾向于选择低成本航空公司，这表明他们对低成本航空公司质量和可靠性的看法正在发生变化。最后，本研究为政府和运营商提出了有针对性的建议，重点是提高市场透明度，保持票价稳定，采取区域特定策略，提高安全性，舒适性和便利性。该研究结果为乘客在高铁和低铁之间做出选择的机制提供了理论见解，并对政策制定和战略优化具有实际意义。

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引用次数: 0

Timeliness and fairness: The practical model of healthcare emergency logistics during the pandemic - A case of Taiwan 时效性与公平性：大流行期间医疗应急物流的实践模式——以台湾为例

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-10-07 DOI: 10.1016/j.rtbm.2025.101522

Yi-Fei Chuang, Chin-Wei Huang, Chia-Hung Hsieh

This research explores the supply and delivery of medical masks in Taiwan during the COVID-19 pandemic in order to develop a practical model for the emergency logistics of epidemic prevention supplies. This model ensures both timeliness and fairness, meaning during the outbreak of the epidemic that all individuals received masks in a timely manner. Data for this study come from semi-structured interviews, supplemented by government publications and news reports. Based on the framework proposed herein, a practical model is developed through content analysis including coding and categorizing. The research results indicate that the key elements of the practical model include a legally-empowered Central Epidemic Command Center, logistical support from the state-owned postal company, sales through dense retail networks, the set-up of a real-name mask system, and multi-stakeholder collaboration across the public and private sectors. This paper offers a detailed account of the emergency supply and distribution processes for medical supplies during the epidemic. The findings give valuable insights for governments and help bridge the gap in the emergency logistics literature.

本研究旨在探讨新冠肺炎疫情期间台湾地区医用口罩的供应和配送情况，为防疫物资的应急物流提供实用模式。这种模式既保证了时效性，又保证了公平性，即在疫情发生期间，所有个人都能及时获得口罩。这项研究的数据来自半结构化访谈，辅以政府出版物和新闻报道。在此框架的基础上，通过内容分析，包括编码和分类，建立了一个实用的模型。研究结果表明，实践模式的关键要素包括法律授权的中央疫情指挥中心，国有邮政公司的后勤支持，通过密集的零售网络进行销售，建立实名面具制度，以及公共和私营部门的多方利益相关者合作。本文详细介绍了疫情期间医疗物资的应急供应和分配过程。研究结果为各国政府提供了宝贵的见解，并有助于弥补应急物流文献中的空白。

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引用次数: 0

The role of pro-environment and pro-technology attitudes in MaaS adoption in the UAE: An extended UTAUT2 model 亲环境和亲技术态度在阿联酋MaaS采用中的作用：扩展的UTAUT2模型

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-11-15 DOI: 10.1016/j.rtbm.2025.101556

Sulafa Badi, Salam Khoury, Kholoud Yasin, Khalid Al Marri

Mobility-as-a-Service (MaaS) is a transportation concept that integrates multiple modes of transportation into a single service accessible via a single mobile application platform. MaaS has the potential to provide efficient, affordable, and environmentally friendly transportation options that can help decrease traffic congestion, minimise air pollution, and reduce carbon emissions. This study aims to identify the antecedents influencing MaaS adoption intention by considering a user’s pro-environmental and pro-technology attitudes, mediated by variables proposed by the Unified Theory of Acceptance and Use of Technology. The study utilises a quantitative questionnaire with 744 responses across the United Arab Emirates, which were analysed using descriptive and inferential statistics. Constructs, such as perceived hedonic motivation, social influence, performance expectancy, price value, and effort expectancy, were found to significantly affect users’ behavioural intention to adopt MaaS. The findings also revealed that attitudinal influences operate indirectly through social influence and hedonic motivation, underscoring the mediating role of these constructs in shaping user intention. The factors of social influence and hedonic motivation were found to mediate the relationship between pro-environment attitude, pro-technology attitude, and user intention to adopt MaaS. The extended model incorporating attitudinal constructs explained R² = 0.57 of the variance in behavioural intention, compared to R² = 0.54 for the baseline UTAUT2 model. Design and management strategies that directly address these factors can stimulate MaaS adoption.

移动即服务（MaaS）是一种运输概念，它将多种运输模式集成到通过单一移动应用程序平台可访问的单一服务中。MaaS有潜力提供高效、经济、环保的交通选择，有助于减少交通拥堵，最大限度地减少空气污染，减少碳排放。本研究旨在通过考虑用户的亲环境和亲技术态度，通过技术接受和使用统一理论提出的变量来确定影响MaaS采用意愿的前因。该研究利用了一份定量问卷，在阿拉伯联合酋长国各地有744份回复，并使用描述性和推断性统计对其进行了分析。感知享乐动机、社会影响、绩效期望、价格价值和努力期望等构念显著影响用户采用MaaS的行为意愿。研究结果还表明，态度影响通过社会影响和享乐动机间接起作用，强调了这些构念在塑造用户意图中的中介作用。社会影响因素和享乐动机因素在亲环境态度、亲技术态度和用户使用MaaS意愿之间起中介作用。与基线UTAUT2模型的R2 = 0.54相比，包含态度结构的扩展模型解释了行为意图方差的R2 = 0.57。直接处理这些因素的设计和管理策略可以促进MaaS的采用。

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引用次数: 0

Beyond price and quality: How perceived price suitability shapes consumer outcomes in ride-sharing services 超越价格和质量：感知价格适宜性如何影响拼车服务的消费者结果

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-10-31 DOI: 10.1016/j.rtbm.2025.101547

Ting-Hsiang Tseng , Muhammad Dliya'ul Haq , Artya Lathifah , Armando Susanto

This study examines the interaction between system quality, information quality, and perceived suitability of price in shaping customer outcomes such as value, brand image, satisfaction, and repurchase intentions within the ride-sharing industry. It specifically explores the dual moderating role of perceived suitability of price, analyzing how it strengthens and weakens the effects of system and information quality on brand image. Grounded in expectation-confirmation theory (ECT) and perceived value theory, the study utilizes Structural Equation Modeling (SEM) to analyze data collected from 509 ride-sharing users in Indonesia. Findings indicate that system and information quality enhance customer value and brand image, thereby boosting satisfaction and repurchase intentions. Notably, the perceived suitability of price was found to have a dual moderating effect: it enhances the positive impact of system quality on brand image and unexpectedly weakens the influence of information quality on brand image. These findings challenge the typical assumption that favorable price perceptions enhance brand evaluations, offering new insights for aligning service improvements with pricing strategies on digital platforms. In conclusion, these results provide actionable insights for ride-sharing platforms to optimize digital service delivery and pricing strategies, thereby enhancing customer satisfaction and loyalty, which support the development of more sustainable transportation solutions in the ride-sharing sector.

本研究考察了系统质量、信息质量和价格的感知适用性之间的相互作用，这些相互作用影响了乘车共享行业的客户结果，如价值、品牌形象、满意度和再购买意愿。具体探讨了价格感知适宜性的双重调节作用，分析了它如何增强和削弱系统和信息质量对品牌形象的影响。本研究以期望-确认理论（ECT）和感知价值理论为基础，利用结构方程模型（SEM）对印度尼西亚509名拼车用户收集的数据进行分析。研究发现，制度与资讯品质可提升顾客价值与品牌形象，进而提升满意度与再购买意愿。值得注意的是，我们发现价格的感知适宜性具有双重调节作用：它增强了系统质量对品牌形象的正向影响，出乎意料地削弱了信息质量对品牌形象的影响。这些研究结果挑战了“良好的价格感知会提高品牌评价”的传统假设，为将服务改进与数字平台上的定价策略相结合提供了新的见解。综上所述，这些结果为拼车平台优化数字服务交付和定价策略提供了可行的见解，从而提高了客户满意度和忠诚度，从而支持了拼车行业更可持续的交通解决方案的开发。

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引用次数: 0

Travel demand-driven identification and optimization of urban service facility spatial imbalances: A case study of Harbin, China 出行需求驱动的城市服务设施空间失衡识别与优化——以哈尔滨市为例

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2026-01-01 Epub Date: 2025-11-14 DOI: 10.1016/j.rtbm.2025.101562

Yuchen Yan, Yusheng Ci, Wei Quan, Hua Wang

Accelerated urbanization presents significant challenges for matching the supply and demand of urban service facilities. This study proposes a travel-demand-oriented analytical framework to optimize facility allocation and mitigate regional supply-demand imbalances. Adaptive kernel density estimation and local hotspot detection techniques were employed to identify urban travel hotspots, forming demand-driven fundamental analytical units. Bivariate Moran's I and coupling coordination degree models were then integrated to conduct a granular analysis of supply-demand matching within these hotspots, identifying imbalanced areas and establishing optimization priorities. An empirical study utilizing taxi trajectory data and catering facility data in Harbin, China, demonstrates that spatial zoning schemes at different scales significantly influence supply-demand analysis conclusions. The proposed demand-oriented approach circumvents conventional spatial partitioning, inherently mitigating the Modifiable Areal Unit Problem. This method precisely identified 52 high-demand-low-supply areas experiencing critical shortages and 118 low-demand-high-supply areas at risk of resource waste in Harbin. Tailored optimization strategies were formulated: prioritized facility expansion in high-demand-low-supply areas, and business model transformation or demand stimulation to reduce redundancy in low-demand-high-supply areas. This methodological framework provides urban planners with a scientifically rigorous basis for resource allocation, facility siting, and spatial functional adjustments, offering an effective pathway to alleviate urban service facility supply-demand disparities.

城市化进程加快，对城市服务设施的供需匹配提出了重大挑战。本研究提出了一个以旅游需求为导向的分析框架，以优化设施配置，缓解区域供需失衡。采用自适应核密度估计和局部热点检测技术识别城市出行热点，形成需求驱动的基本分析单元。然后结合二元Moran’s I和耦合协调度模型，对这些热点地区的供需匹配进行细粒度分析，识别不平衡区域，建立优化优先级。利用哈尔滨市出租车轨迹数据和餐饮设施数据的实证研究表明，不同尺度的空间分区方案显著影响供需分析结论。提出的以需求为导向的方法绕过了传统的空间划分，从本质上缓解了可修改面积单位问题。该方法精确识别出哈尔滨市52个高需求低供给严重短缺的区域和118个低需求高供给存在资源浪费风险的区域。制定了量身定制的优化策略：在高需求-低供应地区优先进行设施扩建，在低需求-高供应地区进行商业模式转型或需求刺激以减少冗余。该方法框架为城市规划者提供了科学严谨的资源配置、设施选址和空间功能调整依据，为缓解城市服务设施供需差异提供了有效途径。

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引用次数: 0