{"title":"What is the optimal subsidy scheme for multiple port-hinterland corridors with a given subsidy budget?","authors":"Xuezong Tao , Lichao Zhu","doi":"10.1016/j.rtbm.2025.101412","DOIUrl":"10.1016/j.rtbm.2025.101412","url":null,"abstract":"<div><div>The excessive use of road transportation between ports and their hinterlands goes against the goals of energy saving and emission reduction, hindering the development of sustainable regional transportation. In response, local governments have implemented a series of incentive policies, including subsidies, to activate the potential modal shift (PMS) from road to non-road (mainly referred to rail- or water-based intermodal) transportation for port-hinterland connections. However, the lack of coordination among subsidy policies targeting different freight corridors weakens their effectiveness in encouraging this modal shift. Against this background, this study develops a framework for determining the optimal subsidy scheme (OSS) for multiple port-hinterland corridors with a given subsidy budget, aiming to maximize the PMS from the perspective of regional subsidy coordination. The proposed framework can assist local governments in designing more effective subsidy strategies from a coordinated perspective, enabling the allocation of total subsidies across different freight corridors within a given budget for a particular region, thereby maximizing the PMS. The framework is then applied to four port-hinterland corridors in the Yangtze River Delta region of eastern China. The results show that subsidy policies for no-road transportation can increase both the PMS and the associated potential CO<sub>2</sub> reduction (PCR) in these four corridors, especially when subsidies are coordinated. Specifically, compared to the independent (uncoordinated) subsidy strategy, the PMS increases by 10.81 and 11.01 times in the partially and fully coordinated subsidy strategies, respectively. Correspondingly, the PCR increases by 13.48 and 13.77 times, respectively. Given the balance of policy feasibility and practical effectiveness, the OSS in the partially coordinated subsidy strategy is to provide shippers with a subsidy of 138.48 CNY/TEU (Chinese Yuan, CNY; twenty-foot equivalent unit, TEU) for rail and 138.47 CNY/TEU for waterway in the Changzhou City - Port of Shanghai corridor, 787.38 CNY/TEU for rail in the Shangrao City - Port of Ningbo Zhoushan corridor, and 217.49 CNY/TEU for rail in the Yiwu City - Port of Ningbo Zhoushan corridor.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101412"},"PeriodicalIF":4.1,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106463","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}
{"title":"Airfare prediction: Leveraging market data for better decision-making","authors":"K. Gülnaz Bülbül","doi":"10.1016/j.rtbm.2025.101408","DOIUrl":"10.1016/j.rtbm.2025.101408","url":null,"abstract":"<div><div>Airline revenue management is crucial for airlines to maintain their competitive position in the market. Revenue management addresses two main concerns in airline planning processes, pricing and seat inventory management, to balance supply and demand. Pricing or determination of airfare is a complex decision-making process influenced by factors including distance, number of passengers, market share, competition, and route-related characteristics. However, it is a central element as it impacts revenue generation, market positioning, demand management, cost recovery, and customer relationships. This study investigates the machine learning perspective on predicting airline market-level airfares and examines the determinants of airfare. In this regard, exploiting the publicly available data from the US Department of Transportation Bureau of Transportation Statistics, several supervised machine learning algorithms are tested and compared to obtain the most effective prediction for the given dataset. The Random Forest model outperformed the other models, with <span><math><msubsup><mi>R</mi><mi>adj</mi><mn>2</mn></msubsup></math></span> and RMSE scores of 0.998 and 1.811, respectively. An ad hoc feature importance analysis is also performed to gain further insight into the determinants of market-level airfares. The findings emphasize the importance of operational costs and pricing strategies in airfare prices.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101408"},"PeriodicalIF":4.1,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088961","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}
Siti Marsila Mhd Ruslan , Mohd Tarmizi Osman , Wan Nurdiyana Wan Mansor , Kasypi Mokhtar , Norjipin Saidi , Ummu Atiqah Mohd Roslan , Muhamad Fairus Noor Hassim , Benjamin Craig Mclellan
{"title":"Winning the carbon race: Game-based strategies for emission reduction in maritime industry","authors":"Siti Marsila Mhd Ruslan , Mohd Tarmizi Osman , Wan Nurdiyana Wan Mansor , Kasypi Mokhtar , Norjipin Saidi , Ummu Atiqah Mohd Roslan , Muhamad Fairus Noor Hassim , Benjamin Craig Mclellan","doi":"10.1016/j.rtbm.2025.101409","DOIUrl":"10.1016/j.rtbm.2025.101409","url":null,"abstract":"<div><div>The maritime industry contributes to global greenhouse gas (GHG) emissions, accounting for approximately 2.89 % of global emissions. With the International Maritime Organization (IMO) setting ambitious goals to reduce carbon emissions by 50 % by 2050, there is a pressing need for effective strategies in the maritime industry. This study examines the strategic interactions between governments, port authorities, and shipping companies by utilizing game theory to explore dynamic and evolving behaviors in carbon emission reduction efforts. By establishing a trilateral game model, the research provides insights into the complex interplay of incentives and deterrents that influence stakeholder actions. Key scenarios analyzed include the net incremental benefits of adopting specific strategies by port authorities and the additional costs incurred by shipping companies when implementing green practices. The findings indicate that port authorities can achieve significant benefits by adopting collaborative strategies, supported by government incentives to offset initial high costs, while for shipping companies, the analysis underscores the importance of weighing additional costs against potential operational efficiencies and market advantages. The study offers targeted policy recommendations to promote the development of a low-carbon maritime industry, highlighting the potential of green fuels and advanced technologies in achieving sustainable maritime operations. This research fills a critical gap in understanding the strategic behaviors driving emission reductions in maritime industry, contributing to broader efforts in combating global climate change.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101409"},"PeriodicalIF":4.1,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089023","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}
{"title":"Efficient, secure and green future scenarios: An application of foresight methodologies on seaports digitalisation","authors":"Giovanna Attanasio, Cinzia Battistella, Elia Chizzolini","doi":"10.1016/j.rtbm.2025.101411","DOIUrl":"10.1016/j.rtbm.2025.101411","url":null,"abstract":"<div><div>The relentless progression of digitalisation permeates every sector, including maritime and transport industries. This study explores the digitalisation landscape expected to evolve over the next decade, with a particular focus on its impact on ports. Employing a combination of Delphi and Roadmapping analyses, it seeks to identify the most probable, impactful, and desirable scenarios.</div><div>The findings give insight on two principal aspects: they identify the digitalisation trends most related and impactful to future ports, and they provide guidance on which technologies to prioritise, also providing their phased implementation to achieve specific scenarios over time.</div><div>The research is structured around three alternative scenarios: efficiency-driven, security-oriented, and green-centric, each with distinct implications for port development and management.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101411"},"PeriodicalIF":4.1,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089022","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}
{"title":"Agent-based modelling of electric vehicle adoption: A multidimensional perspective assessment","authors":"Lorella Cannavacciuolo, Vincenzo Maione, Cristina Ponsiglione, Simonetta Primario","doi":"10.1016/j.rtbm.2025.101407","DOIUrl":"10.1016/j.rtbm.2025.101407","url":null,"abstract":"<div><div>To meet the environmental sustainability objectives outlined in the Fit for 55 % program, European nations must curtail their greenhouse gas emissions. Promoting electric vehicle adoption emerges as a pivotal strategy. Previous research has primarily focused on isolated aspects of this phenomenon, neglecting a holistic approach that merges economic, technical, and socio-behavioural dimensions and their interrelations. This paper addresses this gap by developing an electric vehicle adoption agent-based model evaluating the interplay of these aspects. Our findings highlight the relationship among range anxiety and environmental awareness, and the importance of government financial incentives and advertising expenditure in promoting electric vehicle adoption. The model is calibrated to the Italian case, serving as a basis for analysing similar contexts. Due to its design as a typification, this paper provides insights into sustainable policy frameworks that can be extended to cases with comparable characteristics.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101407"},"PeriodicalIF":4.1,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937349","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}
Tejinder Singh Lakhwani, Yerasani Sinjana, Anuj Pal Kapoor
{"title":"Queuing theory for efficient drone dispatch in healthcare logistics: An empirical analysis of system performance","authors":"Tejinder Singh Lakhwani, Yerasani Sinjana, Anuj Pal Kapoor","doi":"10.1016/j.rtbm.2025.101404","DOIUrl":"10.1016/j.rtbm.2025.101404","url":null,"abstract":"<div><div>This study integrates queuing theory into drone-based healthcare logistics to address delivery delays, resource inefficiencies, and operational constraints in transporting time-sensitive medical supplies, including blood, organs, and vaccines. Traditional ground-based logistics often face traffic congestion, infrastructure limitations, and geographical barriers, compromising the timely delivery of medical resources. Drones offer a transformative solution by bypassing these obstacles, ensuring direct and efficient deliveries, particularly in remote and underserved regions. Leveraging queuing theory, this research develops a dynamic framework for real-time resource allocation, optimizing operational factors such as battery life, payload constraints, and fleet availability. Simulation results demonstrate that the proposed queuing-based drone system reduces delivery times by up to 60 %, improves resource utilization by 21 %, and enhances delivery success rates by 18 % compared to conventional logistics models. The model dynamically prioritizes urgent deliveries, adapts to fluctuating demand, and ensures resilience in critical interventions and disaster response scenarios. This study provides actionable insights into optimizing healthcare logistics, with potential enhancements through AI-driven demand prediction and infrastructure advancements. By establishing a scalable and efficient framework, this research contributes to modernizing healthcare supply chains, ensuring reliable access to medical supplies and improved patient outcomes globally.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101404"},"PeriodicalIF":4.1,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937348","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}
{"title":"High-speed railway and entrepreneurship in the hospitality industry","authors":"Ying Wu","doi":"10.1016/j.rtbm.2025.101406","DOIUrl":"10.1016/j.rtbm.2025.101406","url":null,"abstract":"<div><div>High-speed railway is a crucial advancement in transportation infrastructure and enhances tourist mobility. Using data from Chinese prefecture-level cities from 2009 to 2017, this study finds that high-speed railway positively affects entrepreneurship in the hospitality industry. The finding remains valid after a series of robustness tests and is more prominent for cities located in provinces with better entrepreneurship environments and with famous tourist attractions. Mechanism tests show that high-speed railway affects entrepreneurship in the hospitality industry by increasing tourists' demand for accommodations. The findings of this study provide new and significant evidence of the implications of the construction of high-speed railway.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101406"},"PeriodicalIF":4.1,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929398","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}
{"title":"Transferring synchromodal principles to forest biomass supply: A holistic approach to supply chain design","authors":"Robert Prinz , Blas Mola-Yudego , Gernot Erber","doi":"10.1016/j.rtbm.2025.101389","DOIUrl":"10.1016/j.rtbm.2025.101389","url":null,"abstract":"<div><div>Forest biomass supply chains face persistent challenges due to their complexity, fragmentation, and sensitivity to spatial and temporal variability. Traditional supply chain planning methods often lack the flexibility and integrative capacity required to manage these systems efficiently. This conceptual study introduces a holistic planning framework, <em>synchromodality</em> from a supply chain perspective (SSCP)—adapted from recent advancements in the logistics sector, to address the unique characteristics of forest biomass handling. The SSCP framework integrates transportation, production, and inventory decisions, allowing for synchronized, real-time responses to dynamic conditions. This study explores how the SSCP model can be transferred and applied to forest biomass supply chains, highlighting its potential to improve flexibility, coordination, and system-wide efficiency. The findings emphasize the importance of digital infrastructure, stakeholder collaboration, and real-time data availability for implementation. While the framework is conceptual, it provides actionable insights for supply chain managers and policymakers seeking to enhance resilience and responsiveness in biomass logistics. Limitations include the current lack of empirical validation and the need for advanced algorithmic support for decision-making under uncertainty. Future research should focus on practical testing of the model and the development of ICT-supported coordination platforms tailored to the forest sector.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101389"},"PeriodicalIF":4.1,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929397","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}
{"title":"Greener logistics through resource sharing — A resource dependency lens on supply chain interaction","authors":"Niklas Simm","doi":"10.1016/j.rtbm.2025.101405","DOIUrl":"10.1016/j.rtbm.2025.101405","url":null,"abstract":"<div><div>The greening of logistics requires extensive resources in order for actors to implement green logistics practices (GLPs) and become more environmentally sustainable. As no actors in the supply chain are self-sustained and must gather resources from other actors, “the greening” of our supply chains needs to be considered holistically. The interactive nature of supply chains, where actors must interact with other actors, also gives them a platform to exchange resources. This paper sets out to <em>explore how resources can be shared between actors and support the greening of logistics,</em> by studying a dyadic relationship between a shipper and an LSP, applying a resource dependency theory perspective. The paper suggests that GLPs will require resources to be gathered from other actors to be implemented and explore how the greening of logistics involves several actors, and why these actors need to be included. It suggests that some types of resources are more central than others, such as knowledge or technology; and that some actors are more central than others, especially shippers and LSPs. This study illustrates how different GLPs will require different combinations and quantities of resources, which suggests various degrees of dependency on different actors.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101405"},"PeriodicalIF":4.1,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253932","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}
{"title":"The public transport authority, bus operators and other actors: Different perspectives on the competitive tendering process in Israel","authors":"Yoram Ida , Gal Talit , Assaf Meydani","doi":"10.1016/j.rtbm.2025.101388","DOIUrl":"10.1016/j.rtbm.2025.101388","url":null,"abstract":"<div><div>Research on bus service reforms have shown that in most countries, the initial savings they create in operating costs diminish over time. Another insight is that high-quality services require cooperation and mutual trust among the actors involved, and consideration of all the different, and sometimes opposing, needs and positions. The present research examined the mutual trust and cooperation between the actors involved in the provision of bus services in Israel. The different positions of these actors regarding key issues in the process represent points of weakness in the arrangement and possible ways to correct them. The resulting insights may be relevant to transportation authorities in other countries that face similar problems and could contribute to improved service.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"61 ","pages":"Article 101388"},"PeriodicalIF":4.1,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916316","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}