Research in Transportation Business and Management最新文献_第6页

Analysing mobility and environmental impacts of automated ride-sharing services under mixed traffic 分析混合交通下自动拼车服务的移动性和环境影响

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-17 DOI: 10.1016/j.rtbm.2025.101434

Rajae Haouari , Hua Sha , Mohit Kumar Singh , Evita Papazikou , Amna Chaudhry , Pete Thomas , Andrew Morris , Mohammed Quddus

{"title":"Analysing mobility and environmental impacts of automated ride-sharing services under mixed traffic","authors":"Rajae Haouari , Hua Sha , Mohit Kumar Singh , Evita Papazikou , Amna Chaudhry , Pete Thomas , Andrew Morris , Mohammed Quddus","doi":"10.1016/j.rtbm.2025.101434","DOIUrl":"10.1016/j.rtbm.2025.101434","url":null,"abstract":"<div><div>Shared Automated Vehicles (SAVs) hold great promise for the future of urban mobility. Automated ride-sharing services are expected to alleviate traffic congestion, reduce traffic emissions, and significantly improve road safety by combining advanced connected and autonomous vehicle (CAV) technology with the ride and/or car-sharing concept. These benefits, however, are highly dependent on the deployment concept of the service and environment including network characteristics, CAV technology, traffic compositions, population acceptance, etc. This study aims to assess the mobility and environmental impacts of introducing a door-to-door automated ride-sharing (ARS) service under different deployment scenarios. Two calibrated and validated city-scale networks with different characteristics were used: a suburban area in the Greater Manchester (UK) and a city-centre area in Leicester (UK). An optimisation technique for the vehicle routing problem was developed to efficiently operate ARS at a network-level. The customers' preference for individual and shared rides with Willingness to Share (WTS) was investigated to gain a better understanding of the performance indicators (i.e., delay, travel time, speed, kilometres-driven and emissions) The introduction of ARS was investigated under two deployment scenarios: 1) mixed with conventional human-driven vehicles (HDVs) and 2) mixed with HDVs with varying CAV market penetration rates. Findings suggest that introducing ARS can adversely impact mobility and the environment under mixed traffic, especially in suburban areas, and the benefits of an automated ride-sharing system are highly dependent on WTS. The findings will assist local authorities in formulating automated ride-sharing policies to manage the traffic on roads.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101434"},"PeriodicalIF":4.1,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306664","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

Exploring barriers and developing strategies for implementing smart supply chain management with Delphi method and ISM-MICMAC 利用德尔菲法和ISM-MICMAC探讨智能供应链管理的障碍和发展策略

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-16 DOI: 10.1016/j.rtbm.2025.101439

Briliana Kurrita Aini , Mu-Chen Chen

{"title":"Exploring barriers and developing strategies for implementing smart supply chain management with Delphi method and ISM-MICMAC","authors":"Briliana Kurrita Aini , Mu-Chen Chen","doi":"10.1016/j.rtbm.2025.101439","DOIUrl":"10.1016/j.rtbm.2025.101439","url":null,"abstract":"<div><div>This study attempts to explore the barriers associated with adopting smart supply chain management (SCM 4.0) within Indonesia's electronics industry. This study also constructs the hierarchical framework for these barriers and categorizes them into groups. While many previous studies have explored SCM 4.0, research on its barriers in Indonesia's electronics industry remains limited. This study fills this gap by exploring barriers in Indonesia's electronics industry and emphasizing the government's role in SCM 4.0, providing a detailed understanding of their impact on SCM 4.0 implementation in Indonesia's electronics industry. The findings offer valuable implications for academia by providing new insights about SCM 4.0 in Indonesia's electronics industry, for policymakers by highlighting the need for supportive regulations, and for industry stakeholders by identifying key barriers to effective SCM 4.0 implementation. The initial 21 barriers to SCM 4.0 implementation, derived from the previous study, are validated and ranked using the Delphi method. After the first round of Delphi survey, a barrier, lack of government incentive, is added, and the total of barriers included in the second round is 22 barriers. Based on the results of Delphi survey, 12 barriers are considered essential and further analyzed in the next step. Interpretive structural modeling - cross-impact matrix multiplication applied to classification (ISM-MICMAC) is then utilized to build the hierarchical relationship among the barriers and group them based on their driving power and dependence power. Lack of government regulation and supports and lack of government incentives are the most fundamental barriers, and they are categorized as independent barriers. Based on the results, this study also proposes the SCM 4.0 implementation strategy for Indonesia's electronics industry.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101439"},"PeriodicalIF":4.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297832","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

Greenhouse gas emissions before and after relocating container terminals in Kaohsiung port 高雄港货柜码头搬迁前后的温室气体排放

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-16 DOI: 10.1016/j.rtbm.2025.101430

Pei-Chun Lin , Erh-Cheng Hsu , Szu-Yu Kuo

引用次数: 0

Adoption of electric cars in sub-Saharan Africa: Understanding consumers' choice behaviour in urban Tanzania 撒哈拉以南非洲采用电动汽车：了解坦桑尼亚城市消费者的选择行为

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-14 DOI: 10.1016/j.rtbm.2025.101437

Gabriel C. Malima

引用次数: 0

Evaluation of seaport equipment performance using multi-directional efficiency analysis for sustainable logistics operations: A case from Portugal 使用多向效率分析对可持续物流运作的海港设备性能评价：来自葡萄牙的案例

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-14 DOI: 10.1016/j.rtbm.2025.101442

Syed M. Kazmi , Eugénio M. Rocha , Ângela F. Brochado

{"title":"Evaluation of seaport equipment performance using multi-directional efficiency analysis for sustainable logistics operations: A case from Portugal","authors":"Syed M. Kazmi , Eugénio M. Rocha , Ângela F. Brochado","doi":"10.1016/j.rtbm.2025.101442","DOIUrl":"10.1016/j.rtbm.2025.101442","url":null,"abstract":"<div><div>Seaports are critical nodes in global supply chains, making it essential to analyze equipment efficiency to optimize their operations, reduce costs and operational times, while also acknowledging environmental concerns to meet current stricter sustainability goals. This study evaluates the performance of cranes and loading arms at the Portuguese Port of Sines, employing Multi-Directional Efficiency Analysis (MEA) to address limitations in traditional efficiency measurement methods like Data Envelopment Analysis (DEA). MEA uniquely accounts for both desirable (cargo weight) and undesirable (CO<span><math><msub><mrow></mrow><mn>2</mn></msub></math></span> emissions) output variables, alongside operational input variables (energy consumption and duration). The analysis reveals significant efficiency differences across equipment categories, uncovering unexpected insights for equipment managers. It reveals consistently underperforming units, such as the GRUA LIEBHERR 40 T crane, and exemplary performers, including the QC09 crane and Braço de Carga 9. Notably, this study bridges a research gap by introducing MEA to seaport logistics, offering a comprehensive evaluation framework that integrates environmental and operational metrics. Key findings highlight actionable insights for decision-makers, e.g., prioritizing equipment upgrades or defining stricter maintenance schedules. These findings underscore MEA's potential as a decision-support tool for enhancing resource utilization, reducing costs, and fostering sustainable operations in the maritime logistics sector. In addition, future research directions are explored in the manuscript's last section.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101442"},"PeriodicalIF":4.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279735","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 data-driven spatial decision framework for assessing the relationship between logistics activities and heavy vehicle accident risks 一个数据驱动的空间决策框架，用于评估物流活动与重型车辆事故风险之间的关系

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-14 DOI: 10.1016/j.rtbm.2025.101440

Ömer Kaya , Nuriye Kabakuş

{"title":"A data-driven spatial decision framework for assessing the relationship between logistics activities and heavy vehicle accident risks","authors":"Ömer Kaya , Nuriye Kabakuş","doi":"10.1016/j.rtbm.2025.101440","DOIUrl":"10.1016/j.rtbm.2025.101440","url":null,"abstract":"<div><div>The increase in consumption habits of societies causes individual and collective mobility. This situation gradually increases the importance of logistics centers (LCs), which are the key parts of the developed supply chain. However, heavy vehicles, which are frequently preferred for customer satisfaction and supply, have recently been involved in many traffic accidents. A balance must be achieved in order to carry out logistics activities safely. In this study, the interaction between the site selection of LCs and the severity of heavy vehicle accidents was investigated. To do so, a four-stage hybrid solution approach was proposed. (i) First, the criteria affecting the site selection and logistics activities of LCs were determined. Then, the risk factors causing heavy vehicle traffic accidents were determined. (ii) The weights of these criteria and risk factors were calculated with the fuzzy SIWEC method. (iii) The availability maps were obtained in the spatial decision-making process via GIS. (iv) Finally, the relationship between logistics activities and heavy vehicle accidents was defined by combining spatial outputs and weight values. The concrete relationship between logistics activities and heavy vehicle accident severity was carried out by Pearson coefficient analysis. The proposed approach was applied to Türkiye as a case study. The correlation coefficient was determined as 0.611229 and the relationship between them was found to be moderate and strong correlation. The first step of safe supply can be achieved by reducing the occurrence of heavy vehicle accidents by opening new LCs in some critical areas.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101440"},"PeriodicalIF":4.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289168","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

Vietnamese Gen Z consumers' intentions toward carbon offsetting in transportation: An extended Theory of Planned Behavior approach 越南Z世代消费者对交通运输碳补偿的意图：计划行为方法的扩展理论

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-14 DOI: 10.1016/j.rtbm.2025.101443

Nguyen Thi Cam Le, Vu Truc Quynh

{"title":"Vietnamese Gen Z consumers' intentions toward carbon offsetting in transportation: An extended Theory of Planned Behavior approach","authors":"Nguyen Thi Cam Le, Vu Truc Quynh","doi":"10.1016/j.rtbm.2025.101443","DOIUrl":"10.1016/j.rtbm.2025.101443","url":null,"abstract":"<div><div>Gen Z, the world's largest generation, has emerged as a strong advocate for environmental protection. Growing evidence highlights that this generation is deeply concerned about their purchasing behavior's social and environmental impacts, driving a shift in consumer expectations. This study examines Gen Z's behavioral intentions to support carbon neutrality in Vietnam's transportation sector. Anchored in the Theory of Planned Behavior (TPB), the research explores the relationships among attitudes, subjective norms, perceived behavioral control, and trust—an additional factor—in shaping Gen Z's intentions toward carbon offsetting. Using a convenience sampling method, a structured questionnaire survey was conducted among 300 Gen Z consumers in Ho Chi Minh City. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess relationships and mediating effects among variables. The results confirm that attitudes, subjective norms, and perceived behavioral control positively influence behavioral intention, while trust emerges as the strongest direct predictor of intention among Vietnamese Gen Z consumers. Furthermore, trust significantly affects the key antecedents of intention—attitudes, subjective norms, and perceived behavioral control—indirectly shaping Gen Z's carbon-offsetting intentions in the transportation sector. The results suggest that the extended TPB model, incorporating trust as a factor, serves as an effective framework for understanding Gen Z's behavioral intentions in sustainable consumption. These findings highlight the critical role of trust-building initiatives and provide practical insights for promoting sustainable transportation behaviors among Gen Z through targeted strategies.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101443"},"PeriodicalIF":4.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279469","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

Digital technology adoption, green innovation quality, and green productivity in Chinese high-speed train sector: The role of heterogeneous CEO social capital 中国高铁行业数字技术采用、绿色创新质量与绿色生产率：异质性CEO社会资本的作用

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-14 DOI: 10.1016/j.rtbm.2025.101438

Zihao Jiang , Jiarong Shi , Zhiying Liu

{"title":"Digital technology adoption, green innovation quality, and green productivity in Chinese high-speed train sector: The role of heterogeneous CEO social capital","authors":"Zihao Jiang , Jiarong Shi , Zhiying Liu","doi":"10.1016/j.rtbm.2025.101438","DOIUrl":"10.1016/j.rtbm.2025.101438","url":null,"abstract":"<div><div>Undoubtedly, digitalization makes the high-speed train industry more intelligent. Nevertheless, the impact of digital technology adoption on the green innovation quality, and subsequent green total factor productivity (GTFP) of Chinese high-speed train industry remains to be explored. Furthermore, how heterogeneous CEO social capital affects the effectiveness of digital technology adoption is also unresolved. Based on the fixed-effect estimation models and data of listed companies in Chinese high-speed train industry from 2009 to 2023, this study clarifies the relationship between digital technology adoption, green innovation quality, and GTFP, and verifies the moderating role of CEO business, political, and academic social capital. Empirical results indicate that digital technology adoption is positively correlated with the GTFP of Chinese high-speed train industry, and green innovation quality mediates the above relationship. Besides, CEO business and academic social capital would significantly strengthen the positive impact of digital technology adoption, while CEO political social capital does not. In addition, results of heterogeneity test indicate that digital technology adoption significantly nurtures the GTFP of enterprises in the eastern region and those with weak innovation capability, but has no significant impact on that of enterprises in the central and western regions and those with strong innovation capability.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101438"},"PeriodicalIF":4.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289169","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

High-speed rail, market segmentation, and the rise of green technology innovation cities: Evidence from China 高铁、市场细分与绿色科技创新城市的兴起：来自中国的证据

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-13 DOI: 10.1016/j.rtbm.2025.101429

Ziwen He , Ziyang Chen

引用次数: 0

Comparison of PCA and fractal analysis approaches in the evaluation of air-HSR intermodal network 主成分分析法与分形分析法在空高铁联运网络评价中的比较

IF 4.1 2区工程技术

Research in Transportation Business and Management Pub Date : 2025-06-13 DOI: 10.1016/j.rtbm.2025.101435

Mengyuan Lu , Edgar Jimenez Perez , Keith Mason , Linlin Li

{"title":"Comparison of PCA and fractal analysis approaches in the evaluation of air-HSR intermodal network","authors":"Mengyuan Lu , Edgar Jimenez Perez , Keith Mason , Linlin Li","doi":"10.1016/j.rtbm.2025.101435","DOIUrl":"10.1016/j.rtbm.2025.101435","url":null,"abstract":"<div><div>The importance of air transport and high-speed rail (HSR) in building comprehensive transportation systems has grown substantially in recent years. Evaluating the air-HSR intermodal network is essential in identifying the developmental hurdles and charting a course for its progress. This paper compares alternative methods for evaluating the performance of air-high-speed rail (HSR) intermodal networks, with a focus on developing a comprehensive index framework that considers multiple perspectives. Ten Chinese cities with viable air-HSR connectivity are assessed using principal component analysis (PCA) and Fractal Analysis. The study finds that while PCA provides a valuable high-level overview of air-HSR intermodal network integration by identifying major trends and key components, Fractal Analysis offers a complementary and more detailed evaluation by capturing local characteristics and complex spatial interactions. The combined use of PCA and Fractal Analysis ensures a comprehensive assessment, highlighting that Fractal Analysis is particularly effective for evaluating complex intermodal networks when spatial coherence and local variations are critical. The analysis provides decision-makers with a more balanced understanding of the intricate interrelationships between various aspects of the air-HSR intermodal network, which can inform policy decisions related to transportation infrastructure investment and development.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101435"},"PeriodicalIF":4.1,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272316","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