首页 > 最新文献

Research in Transportation Business and Management最新文献

英文 中文
Rail transport and economic development: An overview of recent research developments 铁路运输与经济发展:近期研究进展综述
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-11-04 DOI: 10.1016/j.rtbm.2025.101551
Jianqiang Cui , John D. Nelson , Dong Lin , Zhipeng Zhou
{"title":"Rail transport and economic development: An overview of recent research developments","authors":"Jianqiang Cui , John D. Nelson , Dong Lin , Zhipeng Zhou","doi":"10.1016/j.rtbm.2025.101551","DOIUrl":"10.1016/j.rtbm.2025.101551","url":null,"abstract":"","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101551"},"PeriodicalIF":4.4,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
National logistics performance evaluation with sustainability concern: A slacks-based network DEA approach 关注可持续性的国家物流绩效评价:基于松弛的网络DEA方法
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-11-03 DOI: 10.1016/j.rtbm.2025.101541
Ke Wang, Deqing Yu, Nan Mao
The Logistics Performance Index (LPI) introduced by the World Bank provides a standardized framework with crucial metrics for national logistics performance evaluation. However, it notably fails to incorporate sustainability concern in the assessment, which has become a priority and raises significant challenges for the logistics industry. To comprehensively assess the national logistics performance, simultaneously taking the efficiency and sustainability concerns into consideration, this study presents a novel two-stage slacks-based Data Envelopment Analysis (DEA) approach by integrating the LPI criteria with sustainability related indicators. The two-stage framework facilitates a systematic analysis of the logistics industry by distinguishing the capacity-building efforts and service operation performance, while also accounting for environmental externalities led by undesirable outputs. Empirical analysis shows that the LPI top-ranked countries do not always perform as well when sustainability is considered. Only a few countries, such as China, Switzerland, Hungary, and Singapore, achieve high efficiency in both capacity building and service operation stages, while many exhibit imbalanced performance across stages, revealing the significance of the proposed two-stage model in uncovering hidden inefficiencies.
世界银行引入的物流绩效指数(LPI)为国家物流绩效评估提供了一个标准化框架,其中包含关键指标。然而,它显然没有将可持续性问题纳入评估,这已成为一个优先事项,并对物流业提出了重大挑战。为了全面评估国家物流绩效,同时考虑到效率和可持续性问题,本研究通过将LPI标准与可持续性相关指标相结合,提出了一种新的两阶段基于懒散的数据包络分析(DEA)方法。两阶段框架通过区分能力建设努力和服务运营绩效,促进了对物流业的系统分析,同时也考虑了由不良产出引起的环境外部性。实证分析表明,当考虑到可持续性时,LPI排名靠前的国家并不总是表现良好。只有中国、瑞士、匈牙利和新加坡等少数国家在能力建设和服务运营两个阶段都实现了高效率,而许多国家在各个阶段都表现出不平衡的绩效,这表明所提出的两阶段模型在揭示隐性低效率方面具有重要意义。
{"title":"National logistics performance evaluation with sustainability concern: A slacks-based network DEA approach","authors":"Ke Wang,&nbsp;Deqing Yu,&nbsp;Nan Mao","doi":"10.1016/j.rtbm.2025.101541","DOIUrl":"10.1016/j.rtbm.2025.101541","url":null,"abstract":"<div><div>The Logistics Performance Index (LPI) introduced by the World Bank provides a standardized framework with crucial metrics for national logistics performance evaluation. However, it notably fails to incorporate sustainability concern in the assessment, which has become a priority and raises significant challenges for the logistics industry. To comprehensively assess the national logistics performance, simultaneously taking the efficiency and sustainability concerns into consideration, this study presents a novel two-stage slacks-based Data Envelopment Analysis (DEA) approach by integrating the LPI criteria with sustainability related indicators. The two-stage framework facilitates a systematic analysis of the logistics industry by distinguishing the capacity-building efforts and service operation performance, while also accounting for environmental externalities led by undesirable outputs. Empirical analysis shows that the LPI top-ranked countries do not always perform as well when sustainability is considered. Only a few countries, such as China, Switzerland, Hungary, and Singapore, achieve high efficiency in both capacity building and service operation stages, while many exhibit imbalanced performance across stages, revealing the significance of the proposed two-stage model in uncovering hidden inefficiencies.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101541"},"PeriodicalIF":4.4,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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 Pub Date : 2025-11-03 DOI: 10.1016/j.rtbm.2025.101552
Pengxiang Ding , Suwei Feng , Dorina Pojani
{"title":"Corrigendum to “The impact of China's Transit Metropolis Pilot program on carbon emissions” Research in Transportation Business & Management 64 (2026) 101544","authors":"Pengxiang Ding ,&nbsp;Suwei Feng ,&nbsp;Dorina Pojani","doi":"10.1016/j.rtbm.2025.101552","DOIUrl":"10.1016/j.rtbm.2025.101552","url":null,"abstract":"","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101552"},"PeriodicalIF":4.4,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessing the co-evolution of intermodal freight transport research and patenting technology trends for advancing green and intelligent logistics 评估多式联运货运研究的共同演变和专利技术趋势,以推进绿色和智能物流
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-11-03 DOI: 10.1016/j.rtbm.2025.101553
Elisabete Arsenio , Joao Tiago Aparicio , Rui Henriques , Gabriel Dias
Green and intelligent freight logistics play a crucial role in driving sustainable development and are increasingly recognised as innovations within Logistics 5.0. This research examines the dynamics of knowledge transfer between academia and industry, focusing on intermodal transport and sustainability. By analyzing academic publications from Scopus and patents from PATENTSCOPE (2014–2024), this research employs advanced methodologies, including transformer-based keyword extraction and multilayer network analysis, to investigate indicators of knowledge transfer. Findings reveal distinct phases of technological innovation, including acceleration driven by AI, IoT, and blockchain technologies, followed by stabilization and consolidation in logistical operations. A patent surge after 2018 highlights industry-led advancements, contrasting with academia's focus on theoretical sustainability frameworks. However, cross-layer analyses highlight the declining industry adoption of academic findings, revealing gaps in the effective transfer of knowledge. The integration of mature innovations into logistical practices reflects the emergence of a consolidation phase. The findings underline the criticality of aligning academic discoveries with industrial applications, fostering mutual collaboration to drive the evolution of green logistics. By uncovering the dynamics underpinning sustainable innovation, the research contributes to the discourse on the twin transition towards greener and more intelligent freight logistics, offering pathways to strengthen academia-industry collaborations.
绿色和智能货运物流在推动可持续发展方面发挥着至关重要的作用,并日益被视为物流5.0中的创新。本研究考察了学术界和工业界之间知识转移的动态,重点是多式联运和可持续性。本研究通过分析Scopus的学术出版物和PATENTSCOPE(2014-2024)的专利,采用先进的方法,包括基于变压器的关键词提取和多层网络分析,研究知识转移的指标。研究结果揭示了技术创新的不同阶段,包括人工智能、物联网和区块链技术推动的加速,以及物流运营的稳定和整合。2018年之后的专利激增凸显了行业主导的进步,与学术界对理论可持续性框架的关注形成鲜明对比。然而,跨层分析强调了行业对学术成果的接受程度下降,揭示了知识有效转移方面的差距。将成熟的创新融入后勤实践反映了整合阶段的出现。研究结果强调了将学术发现与工业应用结合起来,促进相互合作以推动绿色物流发展的重要性。通过揭示支撑可持续创新的动力,该研究有助于讨论向更绿色和更智能的货运物流的双重转型,为加强学术界和工业界的合作提供途径。
{"title":"Assessing the co-evolution of intermodal freight transport research and patenting technology trends for advancing green and intelligent logistics","authors":"Elisabete Arsenio ,&nbsp;Joao Tiago Aparicio ,&nbsp;Rui Henriques ,&nbsp;Gabriel Dias","doi":"10.1016/j.rtbm.2025.101553","DOIUrl":"10.1016/j.rtbm.2025.101553","url":null,"abstract":"<div><div>Green and intelligent freight logistics play a crucial role in driving sustainable development and are increasingly recognised as innovations within Logistics 5.0. This research examines the dynamics of knowledge transfer between academia and industry, focusing on intermodal transport and sustainability. By analyzing academic publications from Scopus and patents from PATENTSCOPE (2014–2024), this research employs advanced methodologies, including transformer-based keyword extraction and multilayer network analysis, to investigate indicators of knowledge transfer. Findings reveal distinct phases of technological innovation, including acceleration driven by AI, IoT, and blockchain technologies, followed by stabilization and consolidation in logistical operations. A patent surge after 2018 highlights industry-led advancements, contrasting with academia's focus on theoretical sustainability frameworks. However, cross-layer analyses highlight the declining industry adoption of academic findings, revealing gaps in the effective transfer of knowledge. The integration of mature innovations into logistical practices reflects the emergence of a consolidation phase. The findings underline the criticality of aligning academic discoveries with industrial applications, fostering mutual collaboration to drive the evolution of green logistics. By uncovering the dynamics underpinning sustainable innovation, the research contributes to the discourse on the twin transition towards greener and more intelligent freight logistics, offering pathways to strengthen academia-industry collaborations.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101553"},"PeriodicalIF":4.4,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Corrigendum to ‘Origin-destination demand prediction for shared mobility service using fully convolutional neural network’ [Research in Transportation Business & Management, Vol. 64, 101527] “基于全卷积神经网络的共享出行服务出发地需求预测”的勘误表[Research in Transportation Business & Management, Vol. 64, 101527]
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-11-01 DOI: 10.1016/j.rtbm.2025.101548
Karn Patanukhom , Santi Phithakkitnukoon , Merkebe Getachew Demissie
{"title":"Corrigendum to ‘Origin-destination demand prediction for shared mobility service using fully convolutional neural network’ [Research in Transportation Business & Management, Vol. 64, 101527]","authors":"Karn Patanukhom ,&nbsp;Santi Phithakkitnukoon ,&nbsp;Merkebe Getachew Demissie","doi":"10.1016/j.rtbm.2025.101548","DOIUrl":"10.1016/j.rtbm.2025.101548","url":null,"abstract":"","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101548"},"PeriodicalIF":4.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic pricing for electric vehicle charging: An iterative two-step approach based on deep reinforcement learning 电动汽车充电的动态定价:基于深度强化学习的迭代两步方法
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-10-31 DOI: 10.1016/j.rtbm.2025.101535
Xucong Zhong, Yinghong Zhou, Zhijing Yang, Weihao Yang, Zhenxuan Lu
Price-based demand response is a key strategy for managing electric vehicle (EV) charging infrastructure, yet existing approaches face two critical challenges: (1) reliance on simulated traffic data that may not accurately represent real-world charging patterns, and (2) the unpredictability of user behavior challenge algorithms based solely on charging demand and electricity prices. To address these two challenges, this paper proposes a novel, iterative two-step framework that leverages real-world charging data. First, we develop an LSTM with self-attention model to accurately predict charging demand by capturing intricate user behavior patterns. Second, we introduce TransA3C, a novel algorithm that integrates a Transformer into the Asynchronous Advantage Actor–Critic (A3C) framework to optimize dynamic service fee. The core of our approach is a dynamic feedback loop: the predicted demand guides the TransA3C pricing decisions, and the resulting service fee is then used as an input for subsequent demand predictions. This iterative process allows the system to continuously adapt to market fluctuations and user behavior. Experimental results, validated on a large-scale, real-world dataset from a city in China, where the proposed dynamic pricing significantly increases the profit and utilization rate of the charging stations. Furthermore, the proposed framework is scalable and transferable to other urban charging networks with fine-tuning, highlighting its broad practical applicability and potential for widespread deployment in EV charging operations.
基于价格的需求响应是管理电动汽车(EV)充电基础设施的关键策略,但现有方法面临两个关键挑战:(1)依赖于可能无法准确代表真实充电模式的模拟交通数据;(2)仅基于充电需求和电价的用户行为挑战算法的不可预测性。为了解决这两个挑战,本文提出了一个新颖的、迭代的两步框架,利用现实世界的充电数据。首先,我们开发了一个具有自关注的LSTM模型,通过捕获复杂的用户行为模式来准确预测充电需求。其次,我们引入了一种新的算法TransA3C,该算法将Transformer集成到异步优势Actor-Critic (A3C)框架中,以优化动态服务费用。我们方法的核心是一个动态反馈循环:预测的需求指导TransA3C的定价决策,然后产生的服务费被用作后续需求预测的输入。这种迭代过程允许系统不断适应市场波动和用户行为。在中国一个城市的大规模真实数据集上验证了实验结果,其中提出的动态定价显着提高了充电站的利润和利用率。此外,所提出的框架具有可扩展性,可通过微调转移到其他城市充电网络,突出了其广泛的实用性和在电动汽车充电操作中广泛部署的潜力。
{"title":"Dynamic pricing for electric vehicle charging: An iterative two-step approach based on deep reinforcement learning","authors":"Xucong Zhong,&nbsp;Yinghong Zhou,&nbsp;Zhijing Yang,&nbsp;Weihao Yang,&nbsp;Zhenxuan Lu","doi":"10.1016/j.rtbm.2025.101535","DOIUrl":"10.1016/j.rtbm.2025.101535","url":null,"abstract":"<div><div>Price-based demand response is a key strategy for managing electric vehicle (EV) charging infrastructure, yet existing approaches face two critical challenges: (1) reliance on simulated traffic data that may not accurately represent real-world charging patterns, and (2) the unpredictability of user behavior challenge algorithms based solely on charging demand and electricity prices. To address these two challenges, this paper proposes a novel, iterative two-step framework that leverages real-world charging data. First, we develop an LSTM with self-attention model to accurately predict charging demand by capturing intricate user behavior patterns. Second, we introduce TransA3C, a novel algorithm that integrates a Transformer into the Asynchronous Advantage Actor–Critic (A3C) framework to optimize dynamic service fee. The core of our approach is a dynamic feedback loop: the predicted demand guides the TransA3C pricing decisions, and the resulting service fee is then used as an input for subsequent demand predictions. This iterative process allows the system to continuously adapt to market fluctuations and user behavior. Experimental results, validated on a large-scale, real-world dataset from a city in China, where the proposed dynamic pricing significantly increases the profit and utilization rate of the charging stations. Furthermore, the proposed framework is scalable and transferable to other urban charging networks with fine-tuning, highlighting its broad practical applicability and potential for widespread deployment in EV charging operations.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101535"},"PeriodicalIF":4.4,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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 Pub 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。
{"title":"Beyond price and quality: How perceived price suitability shapes consumer outcomes in ride-sharing services","authors":"Ting-Hsiang Tseng ,&nbsp;Muhammad Dliya'ul Haq ,&nbsp;Artya Lathifah ,&nbsp;Armando Susanto","doi":"10.1016/j.rtbm.2025.101547","DOIUrl":"10.1016/j.rtbm.2025.101547","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101547"},"PeriodicalIF":4.4,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Echoes of catastrophe: The uneven impacts of climate change on China's transportation productivity 灾难的回声:气候变化对中国交通生产力的不均衡影响
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-10-28 DOI: 10.1016/j.rtbm.2025.101546
Lianxiao Yao, Weidong Chen
The transportation sector is highly sensitive to climatic conditions, and while climate change is expected to affect its productivity, systematic quantitative evidence of such historical impacts remains limited. Utilizing panel data spanning 2000 to 2022 of the transportation industry in 278 Chinese cities, this paper employs a robust econometric model to scrutinize the weather's influence on the transportation industry's total factor productivity. The findings reveal an inverted U-shaped effect resulting from temperature changes on productivity. Higher temperatures prompt decision-makers to adjust labor and capital inputs, reducing total factor productivity. They also disrupt travel patterns, affecting passenger and freight volumes, and alter capital utilization efficiency, further impacting productivity. The research also emphasizes that climate change disproportionately affects regions with relatively backward economic development stages or higher temperatures. Offering evidence on climate change's impact on the transportation industry productivity can provide policymakers with an objective understanding of its vulnerability to climate-related challenges.
交通运输部门对气候条件高度敏感,虽然气候变化预计会影响其生产力,但这种历史影响的系统定量证据仍然有限。本文利用2000年至2022年中国278个城市交通运输行业的面板数据,采用稳健的计量模型来考察天气对交通运输行业全要素生产率的影响。研究结果揭示了温度变化对生产率的倒u型影响。高温促使决策者调整劳动力和资本投入,降低全要素生产率。它们还扰乱旅行模式,影响客运量和货运量,改变资本利用效率,进一步影响生产力。该研究还强调,气候变化对经济发展阶段相对落后或气温较高的地区的影响更大。提供气候变化对交通运输业生产力影响的证据,可以使政策制定者客观地了解其对气候相关挑战的脆弱性。
{"title":"Echoes of catastrophe: The uneven impacts of climate change on China's transportation productivity","authors":"Lianxiao Yao,&nbsp;Weidong Chen","doi":"10.1016/j.rtbm.2025.101546","DOIUrl":"10.1016/j.rtbm.2025.101546","url":null,"abstract":"<div><div>The transportation sector is highly sensitive to climatic conditions, and while climate change is expected to affect its productivity, systematic quantitative evidence of such historical impacts remains limited. Utilizing panel data spanning 2000 to 2022 of the transportation industry in 278 Chinese cities, this paper employs a robust econometric model to scrutinize the weather's influence on the transportation industry's total factor productivity. The findings reveal an inverted U-shaped effect resulting from temperature changes on productivity. Higher temperatures prompt decision-makers to adjust labor and capital inputs, reducing total factor productivity. They also disrupt travel patterns, affecting passenger and freight volumes, and alter capital utilization efficiency, further impacting productivity. The research also emphasizes that climate change disproportionately affects regions with relatively backward economic development stages or higher temperatures. Offering evidence on climate change's impact on the transportation industry productivity can provide policymakers with an objective understanding of its vulnerability to climate-related challenges.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101546"},"PeriodicalIF":4.4,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A carbon emission trading system for China's road freight transport: considering reward and punishment ladders 中国公路货运碳排放交易体系:考虑奖惩阶梯
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-10-28 DOI: 10.1016/j.rtbm.2025.101545
Yanan Li , Yanyan Chen , Yifei Gong , Fuhua Yi , Yinjia Guo , Jiachen Wang
In the context of the “dual carbon” targets of China, effectively reducing carbon emissions in the road freight transportation sector is crucial. Carbon emission trading has emerged as a cost-effective strategy for mitigating carbon emissions, particularly in the context of road freight transport. Currently, the system design of carbon emission trading for road freight transport industry is still unknown. To fill this gap, this study presents a comprehensive policy framework tailored for China's road freight transport sector. The framework includes key components such as data collection and verification processes for carbon emissions, the establishment and distribution of carbon allowances, regulatory mechanisms for carbon emission trading, and an integrated reward and punishment system. Furthermore, the study employs case studies and scenario analyses to examine the operational dynamics of the carbon trading system in road freight transportation. The findings indicate that, to meet compliance requirements and generate additional revenue, freight vehicle operators are incentivized to reduce carbon emissions either by decreasing vehicle miles travelled or by investing in vehicles with lower energy consumption. The purpose of this paper was to provide the theoretical basis for the effective facilitation of carbon emission trading system for China's road freight transport.
在中国“双碳”目标的背景下,有效降低公路货运行业的碳排放至关重要。碳排放交易已成为减少碳排放的一种具有成本效益的战略,特别是在公路货运方面。目前,道路货运业碳排放权交易的制度设计尚不明确。为了填补这一空白,本研究提出了为中国公路货运行业量身定制的综合政策框架。该框架包括碳排放的数据收集和核查程序、碳配额的建立和分配、碳排放交易的监管机制以及综合奖惩制度等关键组成部分。此外,本研究采用个案研究和情景分析来检视公路货运碳交易系统的运作动态。研究结果表明,为了满足合规要求并产生额外收入,货运车辆运营商受到激励,通过减少车辆行驶里程或投资于能耗更低的车辆来减少碳排放。本文旨在为中国道路货物运输碳排放权交易制度的有效便利化提供理论依据。
{"title":"A carbon emission trading system for China's road freight transport: considering reward and punishment ladders","authors":"Yanan Li ,&nbsp;Yanyan Chen ,&nbsp;Yifei Gong ,&nbsp;Fuhua Yi ,&nbsp;Yinjia Guo ,&nbsp;Jiachen Wang","doi":"10.1016/j.rtbm.2025.101545","DOIUrl":"10.1016/j.rtbm.2025.101545","url":null,"abstract":"<div><div>In the context of the “dual carbon” targets of China, effectively reducing carbon emissions in the road freight transportation sector is crucial. Carbon emission trading has emerged as a cost-effective strategy for mitigating carbon emissions, particularly in the context of road freight transport. Currently, the system design of carbon emission trading for road freight transport industry is still unknown. To fill this gap, this study presents a comprehensive policy framework tailored for China's road freight transport sector. The framework includes key components such as data collection and verification processes for carbon emissions, the establishment and distribution of carbon allowances, regulatory mechanisms for carbon emission trading, and an integrated reward and punishment system. Furthermore, the study employs case studies and scenario analyses to examine the operational dynamics of the carbon trading system in road freight transportation. The findings indicate that, to meet compliance requirements and generate additional revenue, freight vehicle operators are incentivized to reduce carbon emissions either by decreasing vehicle miles travelled or by investing in vehicles with lower energy consumption. The purpose of this paper was to provide the theoretical basis for the effective facilitation of carbon emission trading system for China's road freight transport.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101545"},"PeriodicalIF":4.4,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
E-shopper innovativeness and parcel locker adoption: Mediating roles of social influence and trust, and the moderating impact of transaction costs 网络购物者创新与储物柜采用:社会影响与信任的中介作用,以及交易成本的调节作用
IF 4.4 2区 工程技术 Q2 BUSINESS Pub Date : 2025-10-28 DOI: 10.1016/j.rtbm.2025.101550
Yusuf Arslan
This study examines the effect of e-shopper innovativeness (i.e., consumers' tendency to adopt new ideas and technologies before others) on parcel locker (PL) adoption in an emerging market context (Turkey). It introduces a conceptual model incorporating social influence and trust as mediating variables, and transaction costs as a moderating factor. Based on a survey of 363 online shoppers in Sakarya, Turkey, structural equation modeling and PROCESS analyses reveal that innovativeness significantly enhances PL adoption both directly and through increased trust and social influence. However, high perceived transaction costs are found to weaken these effects. The final model explains 76 % of the variance in PL adoption intention. Theoretically, our findings extend the Technology Acceptance Model (TAM)/Unified Theory of Acceptance and Use of Technology (UTAUT) based frameworks by incorporating individual innovativeness into the technology acceptance model and highlighting the mediating roles of trust and social influence. Integrating a transaction cost perspective further provides a more comprehensive view of PL adoption drivers and barriers. Practically, the study suggests that e-commerce and logistics providers should target innovative consumers as early adopters, leverage peer influence, build trust in PL systems, and minimize perceived transaction costs to accelerate parcel locker adoption.
本研究考察了在新兴市场背景下(土耳其),电子购物者的创新性(即消费者倾向于在其他人之前采用新想法和新技术)对包裹储物柜(PL)采用的影响。引入了以社会影响和信任为中介变量,交易成本为调节因子的概念模型。基于对土耳其Sakarya的363名在线购物者的调查,结构方程模型和过程分析表明,创新性通过直接和通过增加信任和社会影响力显着提高了PL的采用。然而,高感知交易成本削弱了这些影响。最后的模型解释了PL采用意图中76%的差异。从理论上讲,我们的研究结果扩展了基于技术接受模型(TAM)/技术接受与使用统一理论(UTAUT)的框架,将个人创新纳入技术接受模型,并强调信任和社会影响的中介作用。集成交易成本视角进一步提供了一个更全面的PL采用驱动因素和障碍的视图。实际上,该研究表明,电子商务和物流提供商应该将创新消费者作为早期采用者,利用同行影响力,建立对物流系统的信任,并最大限度地降低感知交易成本,以加速包裹寄存柜的采用。
{"title":"E-shopper innovativeness and parcel locker adoption: Mediating roles of social influence and trust, and the moderating impact of transaction costs","authors":"Yusuf Arslan","doi":"10.1016/j.rtbm.2025.101550","DOIUrl":"10.1016/j.rtbm.2025.101550","url":null,"abstract":"<div><div>This study examines the effect of e-shopper innovativeness (i.e., consumers' tendency to adopt new ideas and technologies before others) on parcel locker (PL) adoption in an emerging market context (Turkey). It introduces a conceptual model incorporating social influence and trust as mediating variables, and transaction costs as a moderating factor. Based on a survey of 363 online shoppers in Sakarya, Turkey, structural equation modeling and PROCESS analyses reveal that innovativeness significantly enhances PL adoption both directly and through increased trust and social influence. However, high perceived transaction costs are found to weaken these effects. The final model explains 76 % of the variance in PL adoption intention. Theoretically, our findings extend the Technology Acceptance Model (TAM)/Unified Theory of Acceptance and Use of Technology (UTAUT) based frameworks by incorporating individual innovativeness into the technology acceptance model and highlighting the mediating roles of trust and social influence. Integrating a transaction cost perspective further provides a more comprehensive view of PL adoption drivers and barriers. Practically, the study suggests that e-commerce and logistics providers should target innovative consumers as early adopters, leverage peer influence, build trust in PL systems, and minimize perceived transaction costs to accelerate parcel locker adoption.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101550"},"PeriodicalIF":4.4,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145418198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Research in Transportation Business and Management
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1