{"title":"Temporal bin packing of last-in-first-out: A Lagrangian relaxation integrated decomposition-based approach","authors":"Chenhao Zhou,Xiaorong Ren,Li Xue,Qiang Meng","doi":"10.1016/j.tre.2026.105291","DOIUrl":"https://doi.org/10.1016/j.tre.2026.105291","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"10 1","pages":"105291"},"PeriodicalIF":10.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149209430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bus lane design problem with Steiner tree constraints to account for road congestion","authors":"Satoshi Sugiura,Fumitaka Kurauchi,Kam-Fung Cheung,Michael G.H. Bell,Glenn Geers","doi":"10.1016/j.tre.2026.105310","DOIUrl":"https://doi.org/10.1016/j.tre.2026.105310","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"12 1","pages":"105310"},"PeriodicalIF":10.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149209412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Manufacturer sales mode selection and green technology investment, and platform-recycler integration in a closed-loop supply chain","authors":"Kunhua Shang,Ruozhen Qiu,Minghe Sun,Zhi-ping Fan","doi":"10.1016/j.tre.2026.105265","DOIUrl":"https://doi.org/10.1016/j.tre.2026.105265","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"286 1","pages":"105265"},"PeriodicalIF":10.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Route-aware detection of ship collision avoidance manoeuvres via change point analysis with intention inference","authors":"Boyuan Zhang, Hao Rong, Huanhuan Li, Zaili Yang","doi":"10.1016/j.tre.2026.105261","DOIUrl":"https://doi.org/10.1016/j.tre.2026.105261","url":null,"abstract":"Reliable and human-consistent collision avoidance is essential for Maritime Autonomous Surface Ships (MASS) operating in mixed traffic environments. A key challenge is the extraction of representative critical encounter scenarios from real-world data without relying on predefined risk thresholds or expert-driven rules. This study proposes a data-driven, route-aware framework for detecting ship collision avoidance behaviours and extracting the critical encounter scenarios in which such behaviours occur. The framework comprises three components. First, ship motion patterns are analysed to characterise normal route-following behaviour, enabling collision avoidance behaviour to be distinguished from routine navigation. Second, a unified cost function is formulated to jointly evaluate multiple kinematic features while explicitly incorporating planned route information, enabling separation of route-following course changes from potential avoidance actions. Change Point Detection (CPD) method is then applied to identify behavioural transitions and segment ship trajectories into candidate collision avoidance manoeuvres. Third, an intention-informed encounter identification approach is introduced, where avoidance intent is inferred by comparing observed trajectories with virtual route-following trajectories. This enables confirmation of true collision avoidance behaviour and extraction of the associated critical encounter scenarios. The proposed method is validated using Automatic Identification System (AIS) data from the high-traffic Øresund region, including the Helsingør-Helsingborg ferry corridor. Results on a labelled dataset show strong performance, achieving an F1-score of 0.8203 and 0.7443 in behaviour identification and encounter extraction, respectively. The findings demonstrate that the framework can robustly identify avoidance manoeuvres and capture critical encounters. Moreover, the proposed behaviour identification method is further applied in various navigational environments to verify its generalisation. The proposed critical encounter extraction framework provides empirically grounded insights into MASS development and testing, maritime situational awareness enhancement, and traffic management.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"1 1","pages":"105261"},"PeriodicalIF":10.6,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xi Lin , Fang He , Meng Li , Xindi Tang , Chengyu Du
{"title":"Improving operations strategies at busy taxi stands: An analytical approach","authors":"Xi Lin , Fang He , Meng Li , Xindi Tang , Chengyu Du","doi":"10.1016/j.tre.2026.104729","DOIUrl":"10.1016/j.tre.2026.104729","url":null,"abstract":"<div><div>At busy terminal taxi stands, passengers and taxi drivers frequently experience prolonged waiting times due to congestion and inefficient matching processes. This study develops micro-level analytical models specifically tailored to capture the stochastic passenger boarding process and on-site operational controls, including passenger admission batch sizes and taxi stop-line positioning, using Markov chain and probability theory. We primarily analyze two representative operational scenarios: one characterized by a single long queue (typically of taxis) and another involving simultaneous congestion in both taxi and passenger queues. Both analytical and numerical results indicate that simple changes can result in substantial reductions in passenger waiting times and improvements in taxi outflow. The analytical framework is further extended to scenarios permitting spatial redesign or new boarding points, thereby broadening its applicability to diverse operating conditions. We further conduct time-of-day simulations with time-varying passenger and taxi arrivals to examine how the proposed strategies enhance the experiences of both passengers and taxi drivers in more realistic operating environments. The proposed strategies are rigorously validated through extensive numerical simulations and calibration with empirical data, highlighting significant real-world efficiency improvements and practical viability.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104729"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technological Upgrading Investment and Encroachment Strategies in an Outsourcing Supply Chain with Licensing","authors":"Xueli Ma , Na Wang , Qingguo Bai","doi":"10.1016/j.tre.2026.104725","DOIUrl":"10.1016/j.tre.2026.104725","url":null,"abstract":"<div><div>This paper deals with technological upgrading investment, encroachment and technology licensing in a supply chain comprised of an original equipment manufacturer (OEM) and a contract manufacturer (CM), in which the OEM is a quality and quantity leader. We characterize the equilibrium strategies of the OEM and the CM in five scenarios. By comparing the equilibrium outcomes in different scenarios, we examine the interactions between the OEM’s technological upgrading investment and the CM’s encroachment strategies considering royalty-based technology licensing between them. Our analysis demonstrates that neither the OEM’s technological upgrading investment nor royalty charges can effectively prevent the CM from encroaching downstream market. Conversely, the CM’s encroachment increases the OEM’s incentive to make technological upgrading investment for the CM. We further prove that win–win situation can be achieved in situations involving investment and encroachment. This paper breaks the traditional notion that low substitution degree is always preferable for the OEM or the CM and demonstrates that win–win situation is only available when market advantage is not weak. We also show that there always exist suboptimal strategies for the CM and the OEM when win–win situation is not available and analyze the effects of substitution degree, market advantage and brand advantage on the shift of win–win situation or suboptimal strategies. Furthermore, we consider two extended models: a sequential game where the CM acts as a first-mover, and a simultaneous quantity competition game. We characterize the conditions to achieve win–win situation in different models.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104725"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shipping service design for wind-assisted ships","authors":"Shuanglu Zhang, Xiuwen Wang, Lu Zhen","doi":"10.1016/j.tre.2026.104720","DOIUrl":"10.1016/j.tre.2026.104720","url":null,"abstract":"<div><div>Wind-assisted propulsion systems (WAPS) have emerged as a promising technology in the shipping industry. The utilization of wind energy can provide auxiliary thrust and hence reduce the fuel consumption as well as carbon emissions of wind-assisted ships. However, the rigid structure of a traditional shipping service is often suboptimal for harnessing wind energy effectively. This paper explores a shipping service design problem for wind-assisted ships, which is formulated as a two-stage stochastic mixed-integer programming model. The first-stage decisions determine the optimal port visit sequence of all ports, while the second-stage decisions adapt the ship’s schedule under a set of wind scenarios to minimize expected total voyage costs, including fuel, operational, and delay-related expenses. A Benders decomposition algorithm is utilized to solve the stochastic model. The model is applied to a realistic <em>trans</em>-Pacific case study. The results of a comparative analysis against a conventional shipping case indicate the superiority of wind-assisted ships in reducing both costs and carbon emissions. Furthermore, a comprehensive sensitivity analysis reveals that the economic advantage of the integration of WAPS technology and stochastic optimization is robust, providing shipping companies with a practical and profitable strategy towards sustainable operations.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104720"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yukuan Wang , Ryan Wen Liu , Jingxian Liu , Lichao Yang , Yang Liu , Miquel Angel Piera Eroles
{"title":"Resilient RoRo fleet scheduling for mixed EV and ICEV transport demand: An optimization framework for EV dedicated service strategy","authors":"Yukuan Wang , Ryan Wen Liu , Jingxian Liu , Lichao Yang , Yang Liu , Miquel Angel Piera Eroles","doi":"10.1016/j.tre.2026.104719","DOIUrl":"10.1016/j.tre.2026.104719","url":null,"abstract":"<div><div>The surge in electric vehicles (EVs) is causing a structural disruption to high-density, short-sea Roll-on/Roll-off (RoRo) transportation, driven by stricter safety regulations and unique transport protocols. Operators like those in China’s Qiongzhou Strait have implemented an ‘EV Dedicated Service’ (EVDS) strategy. This strategy involves a complex coordination problem between dedicated EV-carrying vessels and separate vessels for transporting drivers. However, this emerging scheduling paradigm has been insufficiently studied. This paper proposes a multi-objective mixed integer programming model for the RoRo fleet scheduling with a novel methodological approach to formulate EVDS mechanism. Additionally, we develop an Adaptive Large Neighborhood Search − based heuristic algorithm, featuring novel problem-specific neighborhood structures. Realistic instances validated the algorithm’s performance against benchmark methods. The results also revealed the balance between economic efficiency and service levels across three different demand scenarios (Low-Season, Normal-Day, and Peak-Season). Furthermore, the analysis reveals the strategic value of flexible deployment for EV-certified vessels. We also introduce a method to quantify operational resilience by analyzing the impact of elastic capacity planning on alleviating port congestion. The findings provide a robust decision-support framework for RoRo operators and policymakers navigating the surge in EV transport demand.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104719"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siqi Shu , Xinyue Yang , Zhuang Ming , Xiaoxiang Na , Marc E.J. Stettler , Der-Horng Lee , Simon Hu
{"title":"A carbon reduction incentive model for crowdsourced urban freight: Facilitating freight pooling and electric truck adoption","authors":"Siqi Shu , Xinyue Yang , Zhuang Ming , Xiaoxiang Na , Marc E.J. Stettler , Der-Horng Lee , Simon Hu","doi":"10.1016/j.tre.2026.104712","DOIUrl":"10.1016/j.tre.2026.104712","url":null,"abstract":"<div><div>Urban freight transport faces significant decarbonization pressure, yet existing strategies such as freight pooling and electric truck adoption often struggle with limited uptake due to operational complexities, costs, and infrastructure challenges. Critically, current research lacks an integrated, operational incentive framework specifically designed for multi-stakeholder participation in urban crowdsourced logistics, where task-level operational decisions across multiple stakeholders play a central role in system-level carbon reduction. This study introduces a Carbon Reduction Incentive Model (CRIM) that addresses this gap. The CRIM incentivizes individual shippers and independent carriers within a crowdsourced logistics system by assigning task-level rewards for freight pooling and electric truck usage. Rewards are quantified by tonne-kilometer savings relative to conventional individual diesel deliveries, further adjusted by a time-based factor to encourage off-peak operations. The CRIM is embedded within an enhanced pick-up and delivery model that explicitly accounts for stakeholder cost components, vehicle heterogeneity, charging requirements, and time-sensitive feasibility (PDPTW-HEC). To optimize the system’s complex trade-off between costs and carbon emissions, a customized heuristic algorithm is developed. Scenario-based case studies using real-world data and international carbon accounting standards validate the proposed incentive model’s performance. Results demonstrate that CRIM can achieve 9.5–38.1% higher electric truck adoption and an 8.4–28.7% reduction in total carbon emissions. This framework offers a practical and scalable approach for designing and evaluating task-level carbon reduction incentives in urban freight operations.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104712"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junkai Zhang, Kap Hwan Kim, Ningning Song, Xuehao Feng
{"title":"Simulation-based optimization of yard slot allocation in U-shaped container terminals","authors":"Junkai Zhang, Kap Hwan Kim, Ningning Song, Xuehao Feng","doi":"10.1016/j.tre.2026.104739","DOIUrl":"10.1016/j.tre.2026.104739","url":null,"abstract":"<div><div>The yard slot allocation problem (SAP), which concerns locating containers in the storage yard, could critically affect the performance of ports. The optimization of this problem is challenging due to the complex operational conditions and real-time decision requirement in practice. As a new type of layout, the U-shaped layout offers external and internal trucks (ETs and ITs) novel combinations of travel routes and container handover points that may result in unique characteristics for the SAP. This study addresses the SAP under the U-shaped layout to minimize the delay time of ITs and ETs. A novel simulation-based evaluation method considering multiple criteria is proposed to allocate slots for arriving containers. In this method, an evolving neural decision network (ENDN) is developed to explore the influence of real-time information on the weights of these criteria. We develop an efficient genetic algorithm tailored to optimize the parameters of the ENDN. A simulation model is developed to evaluate the algorithm’s performance under realistic operational uncertainties that may promote the practical implementation of the ENDN. The experimental results demonstrate that our method can determine slot allocations of shorter total vehicle delay time compared with existing methods.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104739"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}