Transportation Research Part E-Logistics and Transportation Review最新文献

{"title":"Collaborative optimization of vehicle formation and timetable for modular autonomous bus considering demand uncertainty:A data-driven continuous approximate method","authors":"Zhihong Yao,&nbsp;Qi Zhang,&nbsp;Chengxin Fu,&nbsp;Yunxia Wu,&nbsp;Yangsheng Jiang","doi":"10.1016/j.tre.2025.104176","DOIUrl":"10.1016/j.tre.2025.104176","url":null,"abstract":"<div><div>The emerging modular autonomous vehicle (MAV) provides new opportunities to address the imbalance between supply and demand in the public transportation system. The continuous approximation (CA) model can efficiently solve the optimal time-varying headway of bus corridors, but the current CA model for MAV corridors does not consider the demand uncertainty, and its vehicle formation method still has limitations. To solve these gaps, this paper proposes collaborative optimization of vehicle formation and timetable for modular autonomous bus considering demand uncertainty based on a data-driven continuous approximate method. First, a time-dependent passenger flow disturbance parameter is introduced to capture the uncertainty demand, and the CA model is extended under demand uncertainty. Second, data-driven stochastic optimization methods (i.e., stochastic programming and distributed robust optimization) are developed to address the loss function term with the random passenger flow in the CA model. Then, based on the proposed CA model, a mixed integer linear programming (MILP) model is developed to obtain the optimal vehicle formation. Finally, two numerical experiments were conducted to verify the effectiveness and superiority of the proposed model. Results show that, (1) the proposed vehicle formation model achieves up to a 9.8% reduction in average total system cost compared to the benchmark model. (2) stochastic programming and distributed robust optimization do not significantly reduce the average system total cost when demand is uncertain, but can significantly improve the robustness of timetables and vehicle formation. Compared to the deterministic model, the proposed method achieves a reduction of over 90% in both the sample standard deviation and the interquartile range on the test dataset. In summary, the proposed method can provide theoretical support for modular bus operation and scheduling under passenger flow uncertainty.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104176"},"PeriodicalIF":8.3,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108169","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":"Conflict-free routing and flowpath design for automated guided vehicles in container terminals","authors":"Xiangdong Chen ,&nbsp;Qiang Meng ,&nbsp;Xi Lin ,&nbsp;Hao Guan","doi":"10.1016/j.tre.2025.104181","DOIUrl":"10.1016/j.tre.2025.104181","url":null,"abstract":"<div><div>As the scale of container shipping continuously increases driven by mega vessels and rising transportation demands, Automated Container Terminals (ACTs) have emerged as a promising solution to enhance operational efficiency, leveraging technologies such as automated guided vehicles (AGVs) for container transporting tasks. The AGV traffic within the transportation area, serving as a critical link between quayside and yard side operations, faces challenges due to complex conflicting relations among AGV movements. This study proposes a novel framework for routing and flowpath design (RFD) problem of AGVs in ACTs.Through investigating conflicting mechanisms of AGV movements, the study first proposes conflict-free principles for elementary grid networks, aiming to achieve conflict-free operations and enhance traffic efficiency. Theoretical analysis validates the maximum space–time resource utilization of the RFD under certain conditions. Furthermore, customized design methods are developed to adapt to real-world ACT scenarios, and an integrated optimization model is established to optimize RFD schemes. Numerical experiments are conducted to evaluate the proposed methods, highlighting their effectiveness in enhancing operational efficiency and mitigating traffic congestion in ACTs. This study provides a streamlined yet effective approach to AGV traffic organization within container terminals. By proactively resolving AGV travel conflicts, it addresses the computational challenges in real-time implementation and serves as a cornerstone for effective online operation of AGVs.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104181"},"PeriodicalIF":8.3,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108170","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":"Designing integrated relief aid procurement and last-mile distribution strategies for disaster response operations","authors":"Mohammed Nawazish ,&nbsp;Sidhartha S. Padhi","doi":"10.1016/j.tre.2025.104183","DOIUrl":"10.1016/j.tre.2025.104183","url":null,"abstract":"<div><div>While large humanitarian organizations (HOs) such as the United Nations Humanitarian Response Depot preposition relief items at strategic hubs during the preparedness phase, many local HOs procure relief supplies only after assessing beneficiaries’ needs in the response phase. This often leads to procurement and last-mile distribution challenges due to disrupted road infrastructure, coordination issues, and inequitable aid distribution, resulting in severe shortages of relief supplies and ultimately aggravating the beneficiaries suffering. This paper addresses these gaps by proposing an integrated framework for effective procurement and equitable last-mile distribution in disaster response operations. Driven by practice, we analyse buyback and options contracts accounting for the beneficiary’s deprivation cost to coordinate the procurement process between the HO and the supplier under varying road conditions. Subsequently, we develop a multi-period last-mile relief distribution model that bridges the gap between the HO and the beneficiaries and accounts for social costs, fleet capacity, and uncertain demand. The integrated analytical framework aims to provide a sequential map of the procurement and last-mile distribution, enhancing the three critical metrics of humanitarian logistics: efficiency, effectiveness and equity. A case study of the Assam Floods validates the framework, demonstrating its potential to improve disaster response outcomes by addressing procurement and last-mile distribution challenges in real-world scenarios. Lastly, this study offers several managerial implications for humanitarian practitioners working in disaster response operations.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104183"},"PeriodicalIF":8.3,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108171","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":"Recycling ships, revitalising ports: Assessing the economic viability of diversifying coal ports with ship recycling","authors":"Veronica Schulz ,&nbsp;Michael G.H. Bell ,&nbsp;Jason Monios ,&nbsp;D. Glenn Geers ,&nbsp;Shengda Zhu","doi":"10.1016/j.tre.2025.104212","DOIUrl":"10.1016/j.tre.2025.104212","url":null,"abstract":"<div><div>The global ship recycling industry, dominated by South Asia, faces increasing scrutiny over environmental and safety practices. Simultaneously, a growing move away from coal in the run-up to 2050 will threaten coal ports, challenging them to diversify. This study explores the potential of embedding ship recycling into the transport geography of coal ports that are diversifying to circular economy hubs. We examine a case study of the Port of Newcastle in Australia, currently the ‘world’s largest coal port’. Using a System Dynamics (SD) model, the study evaluates key factors including global demand, operational costs, carbon credits, and recycled material revenues across four scenarios. The base scenario shows the PON facility is unviable at a break-even price of $540 per LDT compared to South Asia’s $780 per LDT. However, profitability improves when key factors such as carbon credits and recycled steel prices are optimised, highlighting the potential for economic viability with targeted policy and market reforms. Further Monte Carlo analysis reveals a wide range of potential profit outcomes, from $-1,284,205 to $1,077,655, reflecting the financial uncertainties and risks associated with the facility. Overall, the study recommends reforms to stabilise the Australian Carbon Credit Unit (ACCU) market, develop a green steel industry, and promote sustainable ship design. With these measures, the proposed ship recycling facility at the PON would be profitable, economically sustainable, and well-positioned to compete globally, paving the way for a shift in the geography of ship recycling from unsustainable facilities in South Asia to developed countries with higher environmental and safety standards. This transition would support Australia’s circular economy aspirations, foster global best practices in sustainable ship recycling, and contribute to achieving its environmental goals.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104212"},"PeriodicalIF":8.3,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108222","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":"Distributed multi-agent reinforcement learning approach for energy-saving optimization under disturbance conditions","authors":"Dahan Wang ,&nbsp;Jianjun Wu ,&nbsp;Ximing Chang ,&nbsp;Haodong Yin","doi":"10.1016/j.tre.2025.104180","DOIUrl":"10.1016/j.tre.2025.104180","url":null,"abstract":"<div><div>Urban rail transit systems exhibit substantial energy consumption, underpinning the significance of energy-saving optimization strategies for train timetables. Conventionally, trains operate according to an energy-efficient timetable formulated offline. However, station incidents and disturbances often result in deviations from the planned schedule, leading to additional energy expenditure. To address this challenge, the current study introduces a distributed multi-agent reinforcement learning approach(DMARL) for real-time energy-efficient optimization of train timetables. Initially, trains are conceptualized as agents, adopting the Actor-Critic network structure as the learning paradigm, with a distributed deployment architecture facilitating the training of the model. During the interaction phase between agents and the subway system, a progressive reward mechanism is designed to encourage efficient exploratory actions by the agents. In the final case study, data from Shanghai Metro Line 1(SML1) was utilized to demonstrate the effectiveness of the proposed method. The results indicate that when disturbances occur at stations, necessitating extended stop times, the method presented in this paper exhibited stable performance and faster convergence rates in both two-train and three-train systems. Compared to the energy consumption without any action, the energy savings were enhanced by 14.11 % and 11 %, respectively. The timetable updates were completed within milliseconds, confirming the efficacy of the method and its compliance with real-time updating requirements.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104180"},"PeriodicalIF":8.3,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108274","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":"An intelligent multi-agent system for last-mile logistics","authors":"Masoud Kahalimoghadam,&nbsp;Russell G. Thompson,&nbsp;Abbas Rajabifard","doi":"10.1016/j.tre.2025.104191","DOIUrl":"10.1016/j.tre.2025.104191","url":null,"abstract":"<div><div>Operational efficiency in last-mile logistics (LML) is often hindered by fluctuating e-commerce demand, unforeseen disruptions, and diverse stakeholders with evolving objectives. This paper aims to evaluate the effectiveness of Physical Internet hubs (PI-hubs) in addressing LML challenges by developing an intelligent multi-agent system (iMAS) that focuses on stakeholders’ interactions. In the iMAS, carriers, shippers, and Physical Internet managers (PI-Managers) are considered learning agents. In this complex scenario, the distribution network (DN) structure is dynamic, transitioning from a single-tier system to a two-tier network when carriers and shippers utilize PI-hubs. Bayesian Q-learning optimizes action selection by balancing exploration and exploitation, while fair reward distribution aligns agent incentives, improving cooperation, stability, and performance in dynamic, multi-agent environments. Simulations involving varying combinations of learning agents are performed. Two delivery vehicle types are also included in the collaborative vehicle routing problem, forming the iMAS environment. The simulation results are compared with the base case where agents do not engage in learning. Findings suggest that when PI-managers engage in learning, there is an increase in the percentage of PI-hub usage and a decrease in total vehicle kilometers traveled (VKT), highlighting the effectiveness of PI-hubs in alleviating the adverse impacts of freight vehicle mobility within metropolitan areas. The impact of the initial PI-hub fee policy on DN efficiency, including PI-hub usage, VKT, carriers’ and shippers’ costs, and PI-Manager profit, is assessed through extensive sensitivity analysis. The iMAS acts as a decision support system enabling policymakers to evaluate various policies and actions, aiding the identification of optimal decisions within the LML framework.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104191"},"PeriodicalIF":8.3,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108221","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":"A multi-round combinatorial double auction for carrier collaboration with carbon emission permits trading in less than truckload transportation","authors":"Xiaohui Lyu ,&nbsp;Haoxun Chen ,&nbsp;Nengmin Wang ,&nbsp;Xiaohong Zhang","doi":"10.1016/j.tre.2025.104190","DOIUrl":"10.1016/j.tre.2025.104190","url":null,"abstract":"<div><div>The road transportation contributes to a large portion of global carbon emissions each year. This carbon emission can be significantly reduced through collaboration among carriers. In this paper, a multi-round combinatorial double auction with both requests exchange and carbon emission permits trading is proposed for carrier collaboration, where each carrier may play a double role as both a seller and a buyer. In each round of the auction, the auctioneer announces the outsourcing price of each request and the unit trading price of emission permits. Each carrier then determines and bids for mutually exclusive request bundles to outsource and insource, along with their maximum and minimum trading volumes of emission permits. After receiving the supply and demand bids, the auctioneer tentatively reassigns requests and reallocates emission permits among carriers. At the end of each round, the outsourcing price of each request and the unit trading price of emission permits are updated based on the bids in previous rounds. Computational study shows that the proposed auction can generate more profits to carriers and reduce total carbon emissions significantly.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104190"},"PeriodicalIF":8.3,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108022","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":"Reconcile autonomous garbage truck and workload for multiple-period waste pickup schedule considering service frequency for industry 5.0","authors":"Dandan Zhang ,&nbsp;Lei Shi ,&nbsp;Yucheng Shi ,&nbsp;Yufei Gao ,&nbsp;Qingxian Wang","doi":"10.1016/j.tre.2025.104171","DOIUrl":"10.1016/j.tre.2025.104171","url":null,"abstract":"<div><div>The autonomous garbage truck armed with garbage collector robots for unloading/loading waste will be essential for municipal waste collection in Industry 5.0. Due to the juvenility of garbage collector robots, it is significant to reconcile autonomous garbage trucks and sanitation workers in municipal waste management in transition to Industry 5.0. This paper focuses on reconciling the multiple-period waste collection route design of autonomous garbage trucks and the workload of sanitation workers considering the service frequency constraint and introduces a Period Statistics-based Waste Collection Routing Problem (PS-WCRP). We formulate the problem as multi-objective programming and propose an adaptive large neighborhood search-based hierarchical framework to solve it. The experimental results indicate its excellent performance by comparison with commercial tools, Gurobi and other heuristics. Furthermore, the ablation experiment analysis reveals the rationality and effectiveness of our solution framework. Finally, reconciliation is achieved, as proven by the analysis of sanitation workers’ workload.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104171"},"PeriodicalIF":8.3,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108273","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":"The impact of consumer data sharing on an e-tailer’s private label strategy","authors":"Changhua Liao ,&nbsp;Qihui Lu ,&nbsp;Xiangfeng Chen ,&nbsp;Shenghao Xie","doi":"10.1016/j.tre.2025.104178","DOIUrl":"10.1016/j.tre.2025.104178","url":null,"abstract":"<div><div>The rapid expansion of online marketplaces has given rise not only to private label (PL) introduction but also to an efficiency and security trade-off in sharing consumer data. This research constructs a supply chain model based on game theory that includes a manufacturer and an e-tailer. The model examines how the manufacturer distributes the national brand (NB) through either a reselling approach or an agency selling arrangement. The e-tailer invests in enhancing services to satisfy consumer demands and may introduce PL to compete with the NB. We acknowledge that although consumer data sharing can enhance service efficiency, it also poses privacy concerns. Thus, we investigate the conditions for sharing consumer data and its impact on the e-tailer’s PL strategy. Our analysis reveals several key insights. First, the e-tailer tends to introduce PL under conditions where consumer data sharing is limited, or when both the degree of data sharing and service efficiency are elevated. Meanwhile, increased data sharing diminishes the e-tailer’s motivation to introduce PL, with a preference for the agency selling mode over reselling mode. Second, we demonstrate that consumer data sharing benefits the e-tailer only when service efficiency is elevated, with a limited extent of data sharing being more advantageous. Additionally, the manufacturer consistently benefits when the e-tailer engages in data sharing. Third, our extended analysis indicates that a scenario beneficial to the e-tailer, manufacturer, consumers, and society at large arises when service efficiency is elevated and data sharing remains constrained.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104178"},"PeriodicalIF":8.3,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089087","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":"From conventional to automated terminals: The optimal upgrade decision under demand and technological improvement uncertainties","authors":"Liquan Guo ,&nbsp;Shiyuan Zheng ,&nbsp;Changmin Jiang","doi":"10.1016/j.tre.2025.104158","DOIUrl":"10.1016/j.tre.2025.104158","url":null,"abstract":"<div><div>The age of automation and intelligence requires upgrading conventional terminals (CTs) with automated ones in the port industry. This paper examines how to optimally decide the size and timing of this upgrade under demand and technological uncertainties. We use the real options approach to derive the optimal upgrade decisions for two options: the upgrade option when the port decision maker upgrades CT by building a new Automated Terminal (AT) without interrupting the operation of CT and the upgrade option when the port decision maker abandons the capacity of existing CT and replaces the exited capacity by investing in AT. We then conduct numerical experiments to analyze how uncertain technological improvement and demand affect the optimal solutions. The results suggest that in the additional replacement option, high technological improvement and demand uncertainties will delay the AT investment but will not change the capacity investment choice for the AT. In the replacement upgrade option, high technological improvement will postpone the investment for AT and enlarge the exit capacity choice for the CT and the investment capacity choice for the AT. However, the exit capacity choice for the CT first increases and then decreases with increasing demand uncertainty. Finally, we extend our study to the public ownership of the port that adopts the upgrade option. Our study provides practical guidance for upgrading the CT and investing in the AT. It also contributes to the theoretical literature on automated technology adoption under uncertainty.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104158"},"PeriodicalIF":8.3,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089085","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}