Research in Transportation Business and Management最新文献_第3页

Exploring the reliability of Floating Car Data (FCD) through penetration rate prediction in urban contexts 通过城市背景下的渗透率预测来探索浮动汽车数据的可靠性

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-12-02 DOI: 10.1016/j.rtbm.2025.101565

Vincenza Torrisi , Giovanni Calabrò , Thamires De Souza Oliveira , Giuseppe Inturri , Salvatore Cavalieri , Matteo Ignaccolo

Monitoring and predicting traffic conditions is a crucial task for transportation agencies. Recent technological advances and the rise of big data have enabled real-time, high-frequency traffic data collection through Floating Car Data (FCD), which offers broader coverage and lower costs compared to traditional methods like fixed sensors. However, FCD is limited as it represents only a sample of users with heterogeneous market shares and, in some cases, lacks vehicle classification information.

This study aims to assess the reliability of FCD through a comparative analysis using fixed radar sensors as a ground truth. The analysed variables include vehicle counts to measure FCD Penetration Rates (PRs) as a performance metric and vehicle speeds to assess possible bias phenomena. Additionally, we developed a PR prediction model, identifying the most influential variables through feature engineering and assessing the model's accuracy with Symmetric Mean Absolute Percentage Error (SMAPE). The case study focuses on the city of Catania, Italy, with sensor data obtained from a traffic monitoring system consisting of several counting sections installed along a cordon surrounding the urban area, while FCD were extracted from TomTom portal. Results show spatial and temporal variability in FCD coverage, particularly low PRs at night, and an underestimation of speeds by FCD. The developed predictive model uses widely available FCD data to estimate PRs, helping identify FCD's opportunities and limitations for a more comprehensive understanding of road network performance. Future research will extend the analysis period and integrate more data sources to enhance traffic prediction accuracy and reliability.

监测和预测交通状况是交通运输部门的一项重要任务。最近的技术进步和大数据的兴起使得通过浮动汽车数据（FCD）收集实时、高频交通数据成为可能，与固定传感器等传统方法相比，FCD的覆盖范围更广，成本更低。然而，FCD是有限的，因为它只代表了具有异质市场份额的用户样本，并且在某些情况下缺乏车辆分类信息。本研究旨在通过比较分析，以固定雷达传感器作为地面真值，评估FCD的可靠性。分析的变量包括衡量FCD渗透率（pr）的车辆数量（作为性能指标）和评估可能的偏差现象的车辆速度。此外，我们开发了一个PR预测模型，通过特征工程识别最具影响力的变量，并使用对称平均绝对百分比误差（SMAPE）评估模型的准确性。该案例研究的重点是意大利卡塔尼亚市，其传感器数据来自一个交通监控系统，该系统由沿着城市周围警戒线安装的几个计数部分组成，而FCD则是从TomTom门户网站提取的。结果表明，FCD覆盖的时空变化，特别是夜间的低pr，以及FCD对速度的低估。开发的预测模型使用广泛可用的FCD数据来估计pr，帮助确定FCD的机会和局限性，从而更全面地了解道路网络的性能。未来的研究将延长分析周期，整合更多的数据源，以提高流量预测的准确性和可靠性。

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引用次数: 0

Night trains – Sustainable alternative or niche market? 夜行列车——可持续选择还是利基市场？

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-11-29 DOI: 10.1016/j.rtbm.2025.101569

Zdeněk Tomeš , Vilém Pařil

Night trains in Europe have recently attracted attention as a potential sustainable alternative to air travel. However, their long-term viability remains uncertain. This paper focuses on the supply-side challenges that limit the broader adoption of night trains. Through interviews with operators in the Czech Republic and Slovakia, the paper identifies critical obstacles, including high investment costs, infrastructure bottlenecks, low profitability, operational risks, and cross-border complexities. These findings suggest that, despite their environmental benefits, night trains are likely to remain a niche market without significant public-policy support. To address this, measures such as reducing infrastructure charges, providing financial incentives for rolling stock investment, and prioritising night trains in capacity planning could be essential. However, without substantial and sustained public support, night trains may struggle to become a mainstream alternative to air travel. The findings offer valuable insights for policymakers seeking to promote more sustainable long-distance travel.

最近，欧洲的夜间列车作为一种潜在的可持续替代航空旅行的方式引起了人们的关注。然而，它们的长期生存能力仍不确定。本文关注的是限制夜间列车广泛采用的供应方面的挑战。通过与捷克共和国和斯洛伐克的运营商进行访谈，本文确定了主要障碍，包括高投资成本、基础设施瓶颈、低盈利能力、运营风险和跨境复杂性。这些发现表明，尽管夜行列车具有环境效益，但如果没有重大的公共政策支持，它可能仍然是一个利基市场。为了解决这个问题，降低基础设施收费、为铁路车辆投资提供财政激励、在运力规划中优先考虑夜间列车等措施可能是必不可少的。然而，如果没有大量和持续的公众支持，夜间火车可能很难成为航空旅行的主流选择。这些发现为寻求促进更可持续的长途旅行的政策制定者提供了有价值的见解。

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 : 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

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 : 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

Public acceptance of autonomous vehicles: Fresh evidence from China 公众对自动驾驶汽车的接受：来自中国的新证据

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-11-27 DOI: 10.1016/j.rtbm.2025.101568

Han Gu, Yong Liu

Despite their potential to transform mobility, the large-scale adoption of autonomous vehicles (AVs) faces a critical hurdle: a lack of deep, dynamic understanding of public acceptance. Existing research, heavily reliant on surveys and hypothetical scenarios, often fails to capture the nuanced and evolving nature of public opinion. How can we truly listen to the public's unprompted voice? This study bridges this gap by turning to the real-world conversations of over 110,000 users on Chinese car forums and social media. Leveraging machine learning—including topic modelling and sentiment analysis—we move beyond static snapshots to reveal a compelling narrative: while public sentiment is increasingly positive, a significant chasm exists between high expectations for performance, price, and enjoyment and the current reality. By mapping these insights onto the UTAUT2 theoretical framework and employing Importance-Performance Analysis, we not only diagnose the core acceptance drivers but also provide a strategic action plan for industry and policymakers to close this expectation gap and accelerate the journey towards a driverless future.

尽管自动驾驶汽车有可能改变出行方式，但大规模采用自动驾驶汽车面临着一个关键障碍：缺乏对公众接受程度的深刻、动态的理解。现有的研究严重依赖于调查和假设情景，往往无法捕捉到公众舆论的细微差别和不断变化的本质。我们如何才能真正倾听公众自发的声音？这项研究通过在中国汽车论坛和社交媒体上与11万多名用户的真实对话，弥合了这一差距。利用机器学习——包括主题建模和情感分析——我们超越了静态快照，揭示了一个令人信服的故事：虽然公众情绪越来越积极，但对性能、价格和享受的高期望与当前现实之间存在着显著的鸿沟。通过将这些见解映射到UTAUT2理论框架并采用重要性-绩效分析，我们不仅诊断了核心接受驱动因素，还为行业和政策制定者提供了战略行动计划，以缩小这种期望差距，加速迈向无人驾驶的未来。

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引用次数: 0

Analyzing temporal and spatial freight activity considering truck types and restriction policy 考虑卡车类型和限制政策，分析时空货运活动

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-11-22 DOI: 10.1016/j.rtbm.2025.101564

Zhipeng Peng , Hao Ji , Said M. Easa , Chenzhu Wang , Yonggang Wang , Yu Cao , Hanyi Yang , Xiazhi Zhang

The transportation of goods is essential for economic and social progress, but the presence of heavy-duty trucks (HDTs) can have adverse effects on urban traffic safety and living conditions. Addressing these impacts requires effective policies, yet current studies lack a comprehensive analysis of truck types, spatial and temporal distribution of freight activities, and influencing factors. To fill this gap, this study uses various urban data sources to examine the complex relationships and geographical variations among road density, freight hub accessibility, points of interest (POIs), demographic indicators, and freight activity in Xi'an, China. The study implements a spatial machine-learning (ML) framework and SHapley Additive exPlanations (SHAP). Notably, the study accounts for the unique characteristics of HDTs, considering differences in truck types and the effects of restricted and non-restricted periods. The key findings are as follows: (1) expressway density is pivotal in all scenarios, (2) the proximity of freight hubs significantly impacts freight activity, with variations based on truck type and period, (3) most variables exhibit nonlinear correlations with freight activity, showing less variation between restricted and non-restricted periods but significant variation across truck types, and (4) certain factors demonstrate distinct effects across periods, regions, and truck types. These findings can offer valuable theoretical insights for refining freight activity management in the transportation sector.

货物运输对经济和社会进步至关重要，但重型卡车（HDTs）的存在可能对城市交通安全和生活条件产生不利影响。解决这些影响需要有效的政策，但目前的研究缺乏对卡车类型、货运活动的时空分布以及影响因素的全面分析。为了填补这一空白，本研究利用各种城市数据来源，考察了中国西安道路密度、货运枢纽可达性、兴趣点（poi）、人口指标和货运活动之间的复杂关系和地理差异。该研究实现了一个空间机器学习（ML）框架和SHapley加性解释（SHAP）。值得注意的是，该研究考虑了高密度交通工具的独特特征，考虑了卡车类型的差异以及限制和非限制时期的影响。主要发现如下：(1)高速公路密度在所有情景下都是关键因素；(2)货运枢纽的邻近性显著影响货运活动，并随货车类型和时段的变化而变化；(3)大多数变量与货运活动呈非线性相关，在限制和非限制时段之间变化较小，但在货车类型之间变化显著；(4)某些因素在不同时期、地区和货车类型之间表现出不同的影响。这些发现可以为完善运输部门的货运活动管理提供有价值的理论见解。

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引用次数: 0

Inland port sustainability: Systematic review uncovering terminologies, topics, methodologies, and geographical scopes 内陆港口可持续性：系统回顾揭示术语，主题，方法和地理范围

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-11-19 DOI: 10.1016/j.rtbm.2025.101512

Niloufar Fallah Shayan , Nasrin Mohabbati-Kalejahi

The rapid growth of global trade has increased seaport congestion, environmental degradation, and logistics inefficiencies. These challenges directly impact economic growth, environmental sustainability, and social well-being in port regions. Inland port sustainability has emerged as a critical solution for addressing these challenges by reducing congestion and emissions, as well as enhancing logistical efficiency, sustainable mobility, and environmental performance. While existing research has explored various aspects of inland ports, there is a notable lack of comprehensive understanding of their sustainability practices, particularly regarding the integration of environmental, social, and economic dimensions across different geographic contexts. This paper presents a systematic review of peer-reviewed articles on inland port sustainability published between 2012 and 2024. It examines inland port definitions, identifies key topics and subtopics, evaluates research methodologies, identifies geographic distribution, and outlines existing gaps. Key topics include “Inland Ports Sustainability and Environmental Performance,” “Supply Chain and Logistics,” and “Inland Port Development and Assessment.” Most articles focus on Asia and Europe, particularly China, with a significant gap in studies on North and South American inland ports. This local-to-global review ensures transferable insights for stakeholders in various regions. The review reveals critical gaps in the field, such as a need for standardized sustainability metrics, improved stakeholder collaboration, advanced risk and resilience management, emerging technologies adoption, and the incorporation of the UN Sustainable Development Goals for sustainable inland port establishment. These findings are vital for policymakers, seaport authorities, and researchers in developing more sustainable and resilient inland port systems globally.

全球贸易的快速增长加剧了海港拥挤、环境恶化和物流效率低下的问题。这些挑战直接影响港口地区的经济增长、环境可持续性和社会福祉。通过减少拥堵和排放，以及提高物流效率、可持续流动性和环境绩效，内陆港口的可持续发展已成为应对这些挑战的关键解决方案。虽然现有的研究已经探索了内陆港口的各个方面，但明显缺乏对其可持续性实践的全面理解，特别是关于不同地理背景下环境、社会和经济方面的整合。本文对2012年至2024年间发表的关于内陆港口可持续性的同行评议文章进行了系统回顾。它审查了内陆港口的定义，确定了关键主题和子主题，评估了研究方法，确定了地理分布，并概述了现有的差距。主要议题包括“内陆港口可持续发展与环境绩效”、“供应链与物流”和“内陆港口发展与评估”。大多数文章集中在亚洲和欧洲，特别是中国，对北美和南美内陆港口的研究存在显著差距。这种从地方到全球的审查确保了不同地区利益相关者的可转移见解。该审查揭示了该领域的关键差距，例如需要标准化的可持续性指标，改善利益相关者的合作，先进的风险和复原力管理，新兴技术的采用，以及将联合国可持续发展目标纳入可持续内陆港口建设。这些发现对于政策制定者、海港当局和研究人员在全球开发更具可持续性和弹性的内陆港口系统至关重要。

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引用次数: 0

A business model for inclusive mobility as a service 包容性移动即服务的商业模式

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-11-15 DOI: 10.1016/j.rtbm.2025.101560

Ioanna Pagoni , Athena Tsirimpa , Ioannis Karakikes , Ioannis Tsouros , Shahram Tahmasseby , Anas Ahmad Nemer Mohammad , Wael Alhajyaseen , Amalia Polydoropoulou

Mobility as a Service (MaaS) has received a growing global interest; however limited research has been conducted on business models that address the challenges of car-centric cities characterised by socio-economic disparities and underutilized public transport systems. This paper aims to develop an inclusive business model for MaaS in Doha, Qatar, a city that shares these attributes. Considering the city's unique socio-economic, cultural, and urban characteristics, and using data collected from a stakeholder workshop and an end users' survey, this research applies the value proposition, value creation and delivery, and value capture framework to identify important components for implementing an inclusive MaaS in Doha. Our results reveal the key mobility services that should be involved in MaaS to offer inclusive options for all individuals, including residents and tourists, of diverse gender, age, occupational status, income, and mobility impairments. To address the needs of these diverse population groups, public transport is recognised as the key mobility service for MaaS, while the valuable contribution of other services such as ride hailing, car rental and taxi is also highly acknowledged. The role of Qatari government is identified as significant by the stakeholders, who see the Ministry of Transport as the potential MaaS operator, while also expecting from the government to provide subsidies which will ensure the financial viability of MaaS, as well as support the continuous enhancement of public transport in Doha.

移动即服务（MaaS）在全球受到越来越多的关注；然而，针对以汽车为中心的城市所面临的社会经济差异和公共交通系统未充分利用为特征的挑战，开展的商业模式研究有限。本文旨在为卡塔尔多哈的MaaS开发一种包容性的商业模式，多哈具有这些特征。考虑到多哈独特的社会经济、文化和城市特征，并利用从利益相关者研讨会和最终用户调查中收集的数据，本研究应用价值主张、价值创造和交付以及价值获取框架来确定在多哈实施包容性MaaS的重要组成部分。我们的研究结果揭示了MaaS应该涉及的关键移动服务，为所有个人提供包容性的选择，包括居民和游客，不同性别、年龄、职业状况、收入和行动障碍。为了满足这些不同人口群体的需求，公共交通被认为是MaaS的主要移动服务，而其他服务（如乘车、汽车租赁和出租车）的宝贵贡献也得到高度认可。利益相关者认为卡塔尔政府的作用非常重要，他们将运输部视为潜在的MaaS运营商，同时也期望政府提供补贴，以确保MaaS的财务可行性，并支持多哈公共交通的持续改善。

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引用次数: 0

Impact of high-speed rail on the spatial structure and efficiency of tourism in China 高铁对中国旅游空间结构和效率的影响

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-11-15 DOI: 10.1016/j.rtbm.2025.101558

Wei Wei, Yuting Chai, Ruili Zhu, Tao Li

As the high-speed rail (HSR) network is constantly expanding, its impact on tourism becomes increasingly significant. This study investigates the impact of HSR on the spatial structure and efficiency of tourism across China. Utilizing a panel dataset encompassing 31 provinces and cities from 2007 to 2019 in China, we use gravity models, social network analysis (SNA), and the data envelopment analysis (DEA) model to investigate the two impacts. The findings show that HSR development has generally enhanced tourism attractiveness, though with notable regional heterogeneity. Furthermore, HSR has significantly impacted the tourism agglomeration patterns, shifting from single-center dominance toward a more balanced and stable tourism spatial structure (TSS). Additionally, while HSR expansion creates opportunities for improving tourism efficiency, not all regions fully capitalize on these resources. Significant regional disparities persist, with efficiency highest in South, Southwest, and East China, and lowest in Northeast China. Shanghai stands out as the only city consistently achieving full efficiency over nine years.

随着高速铁路网络的不断扩大，其对旅游业的影响也越来越大。本研究探讨了高铁对中国旅游空间结构和效率的影响。本文利用2007 - 2019年中国31个省市的面板数据集，运用重力模型、社会网络分析（SNA）和数据包络分析（DEA）模型对这两种影响进行了研究。研究结果表明，高铁发展总体上增强了旅游吸引力，但存在显著的区域异质性。此外，高铁显著影响了旅游集聚格局，使旅游空间结构从单一中心主导向更加平衡稳定的格局转变。此外，虽然高铁的扩张为提高旅游效率创造了机会，但并非所有地区都能充分利用这些资源。显著的区域差异仍然存在，华南、西南和华东地区效率最高，东北地区最低。上海是唯一一个连续9年实现高效的城市。

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引用次数: 0

The impact of transportation infrastructure development on green total factor productivity in Belt and Road countries 交通基础设施发展对“一带一路”沿线国家绿色全要素生产率的影响

IF 4.4 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-11-15 DOI: 10.1016/j.rtbm.2025.101549

Shuwen Yan , Haonan Chen , Dilrukshi Dimungu Hewage , J.A. Karunaratne

This study seeks to assess the impact of transportation infrastructure on Green Total Factor Productivity (GTFP) and examine the role of the Belt and Road Initiative (BRI) in shaping GTFP across 50 participating countries between 2001 and 2021. Using a non-radial, non-oriented Slacks-Based Measure (SBM) combined with the Directional Distance Function (DDF) to measure GTFP. The panel data regression results reveal that road and rail transportation infrastructure's impact on GTFP is positive and significant across BRI countries. However, the findings from the two-step GMM model reveal that the road transportation infrastructure development negatively impact on GTFP following BRI agreements. This means BRI failed to restrain the improvement in GTFP through road transportation infrastructure development, proving the pollution shelter effect. Further, heterogeneity results indicate that there is a positive significant relation between railway developments and GTFP except in lower-middle income countries while road development is negative and significant towards GTFP in upper-middle-income countries. These findings emphasise the need for policymakers to reinforce the sustainability dimensions of foreign capital inflows institutionally within BRI countries to offset emission level driven by road transportation infrastructure development, especially in upper-middle income countries. Therefore, policy implications for participating countries in the green BRI necessitate prioritising the reallocation of resources towards green innovation in transportation infrastructure.

本研究旨在评估交通基础设施对绿色全要素生产率（GTFP）的影响，并研究“一带一路”倡议在2001年至2021年期间对50个参与国绿色全要素生产率的影响。采用非径向、非定向的基于松弛测度（SBM）和定向距离函数（DDF）对GTFP进行测度。面板数据回归结果显示，道路和轨道交通基础设施对GTFP的影响在“一带一路”沿线国家呈显著正相关。然而，两步GMM模型的研究结果显示，道路交通基础设施的发展对“一带一路”协议后的GTFP产生了负面影响。这意味着“一带一路”并没有通过道路交通基础设施的发展来抑制GTFP的提高，证明了污染遮蔽效应。此外，异质性结果表明，除中低收入国家外，铁路发展与GTFP之间存在显著正相关，而在中高收入国家，公路发展对GTFP呈显著负相关。这些研究结果强调，政策制定者需要从制度上加强“一带一路”沿线国家外资流入的可持续性维度，以抵消道路交通基础设施发展带来的排放水平，尤其是在中高收入国家。因此，绿色“一带一路”倡议对参与国的政策影响是，必须优先将资源重新分配给交通基础设施的绿色创新。

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引用次数: 0