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

{"title":"Integrated energy scheduling under uncertainty for sustainable ports","authors":"Yinping Gao ,&nbsp;Linying Yang ,&nbsp;Miaomiao Wang ,&nbsp;Lu Zhen","doi":"10.1016/j.tre.2025.104033","DOIUrl":"10.1016/j.tre.2025.104033","url":null,"abstract":"<div><div>Renewable energy generation has attracted increasing attention in port energy systems due to the urgent need for sustainable development. This study focuses on an integrated energy system that involves wind energy, photovoltaic energy, hydrogen energy and energy storage in the sustainable port. The multiple energy sources are used to generate electricity to support container loading and unloading in vessels. The realistic container loads are unknown to the port because of the uncertain arrival information, which affect the specific integrated energy scheduling. A two-stage stochastic programming model is proposed to incorporate uncertain demand, multi-energy supply, electricity storage and sales. The vessel delay costs and the related energy costs that are generated from electricity consumption, storage and sales are minimized when allocating the integrated energy to serve berthing vessels. A metaheuristic algorithm based on the adaptive large neighborhood search (ALNS) framework is proposed for solving the model. The proposed metaheuristic algorithm fixes the decision variable values of the first-stage problem and allows transfers to solve sub-problems under all uncertain scenarios. The effectiveness of the proposed algorithm is demonstrated through small-scale, medium-scale, and large-scale numerical experiments in terms of solution quality and computation time. Some experiments are further conducted to analyze the impact of renewable energy generation, renewable energy sources, berthing vessel types, and vessel delay tolerances. Managerial insights can be obtained for optimizing the integrated energy scheduling schemes in sustainable ports. The findings can also provide implications for ports with different scales when optimizing the configurations of renewable energy supply.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104033"},"PeriodicalIF":8.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526807","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 tradable carbon credit incentive scheme based on the public-private-partnership","authors":"Gege Jiang,&nbsp;Qingwen Fan,&nbsp;Yingtian Zhang,&nbsp;Yao Xiao,&nbsp;Jiemin Xie,&nbsp;Shaorui Zhou","doi":"10.1016/j.tre.2025.104039","DOIUrl":"10.1016/j.tre.2025.104039","url":null,"abstract":"<div><div>This paper proposes a tradable carbon credit scheme under a public-private partnership (PTCS) to reduce congestion and carbon emissions in the network, considering two travel modes with the public transit and the private cars. The PTCS involves three key entities: the traveler, the enterprise, and the government. A three-layer non-linear model is developed to formulate this problem. At the upper level, the government determines the credit scheme and the optimal subsidy to the enterprise, aiming to reduce carbon emissions, travel time, and the monetary cost. In the middle level, the costs and benefits of the enterprise are taken into account. While travelers redeem the carbon credits from the enterprise by opting for public transport, the enterprise can also gain financial benefits from green-mode travelers, including the flow benefits and the unit subsidy from the government. At the lower level, travelers choose their routes and travel modes under the given credit scheme, following the rule of the user equilibrium. We analyzed how the PTCS affects emissions and travel time and validated our findings with two numerical studies using a single OD toy network and the Sioux Falls network. Additionally, with government subsidies, the profitability of the enterprise can be increased to a great extent, achieving a triple-win situation for the enterprise, government, and travelers. This research shed light on promoting low-carbon travel, reducing emissions, and increasing the utilization rate of public transportation.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104039"},"PeriodicalIF":8.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526808","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":"Impact of carbon border adjustment mechanism on the stock market value of high-polluting firms in China: The role of supply chain risk management and internationalization capabilities","authors":"Fu Jia ,&nbsp;Shoufeng Hu ,&nbsp;Lujie Chen","doi":"10.1016/j.tre.2025.104041","DOIUrl":"10.1016/j.tre.2025.104041","url":null,"abstract":"<div><div>As the world’s first “carbon tariff”, the implementation of European Union’s Carbon Border Adjustment Mechanism (CBAM) has drawn considerable attention within the field of operations management. This paper employs an event study methodology to examine the effect of the CBAM on the stock market value of Chinese A-share listed firms in high-polluting industries, the six CBAM target industries, and upstream industries that produce indirect emissions. We find that CBAM leads to negative abnormal returns for firms in both the six target industries of CBAM and indirect emission industries, increasing the risk of supply chain disruptions. Drawing on dynamic capabilities theory, we also explore the effect of supply chain risk management and internationalization capabilities on how well high-polluting firms adapt to CBAM. We find that these capabilities mitigate the negative effect of CBAM on firm market value. Based on these findings, we call for more concerted efforts to understand the role of carbon taxes in reducing carbon leakage. Moreover, we recommend that firms strategically leverage their dynamic capabilities to adapt to the risks posed by changing international environmental regulations. These findings provide valuable insights into the intersection between international policy and operations management.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104041"},"PeriodicalIF":8.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526867","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":"Is fare-free public transport effective in improving air quality? Evidence from Fuzhou, China","authors":"Yuan Liang,&nbsp;Donggen Wang","doi":"10.1016/j.tre.2025.104040","DOIUrl":"10.1016/j.tre.2025.104040","url":null,"abstract":"<div><div>Fare-free public transport (FFPT) programs are gaining increasing popularity worldwide as a policy tool to mitigate the negative externalities associated with automobile usage. However, evidence regarding their effectiveness in reducing air pollution, a major automobile externality, remains limited. In this study, we empirically examine the effect of FFPT programs on air quality in Fuzhou, a provincial capital city in China, based on a quasi-experimental design. Using difference-in-differences models, we find that Fuzhou’s FFPT program reduces fine particulate (PM_2.5) concentrations by 0.332 µg/m³ (2.1 %) in the short run. Furthermore, the program leads to an increase of 129,486 rides (49.8%) in daily subway ridership. Back-of-the-envelope calculations indicate that the health benefits brought by the FFPT program through air quality improvements, including reduced mortality and healthcare expenditures, amount to about 3.09 billion Chinese yuan (or 478.92 million US dollars) annually, which is six times the loss of fare revenue. These findings highlight the potential of fare-free public transport as a sustainable urban transport policy in urban China and contribute to a better understanding of its cost-effectiveness.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"196 ","pages":"Article 104040"},"PeriodicalIF":8.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The hierarchical multimodal hub location problem for cross-border logistics networks considering multiple capacity levels, congestion and economies of scale","authors":"Zhenjie Wang ,&nbsp;Dezhi Zhang ,&nbsp;Lóránt Tavasszy ,&nbsp;Stefano Fazi","doi":"10.1016/j.tre.2025.103972","DOIUrl":"10.1016/j.tre.2025.103972","url":null,"abstract":"<div><div>The continuous growth of international container trade calls for logistics networks that seamlessly connect cross-border, domestic, and local transport services. In the design of these networks with various hubs and modes of transport, the consideration of both economies of scale for multimodal transport and congestion is essential since they can significantly impact the location of the hubs and their size. Thereby, in this paper, we study these features within a multimodal hub location problem for international trade that considers a hierarchy in the network structure. We develop a mixed-integer linear programming formulation, minimizing infrastructural, operational, and congestion costs. A hybrid adaptive variable neighborhood search algorithm with tailored operators and speed-up strategies is proposed to solve large-scale instances. Numerical experiments are conducted for China’s New Western Land-Sea Corridor case and provide new managerial insights for designing hierarchical, multi-modal, cross-border logistics networks.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"196 ","pages":"Article 103972"},"PeriodicalIF":8.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479190","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":"Generic model for capacity allocation on transportation terminals","authors":"Nihal Berktas ,&nbsp;Konstantinos G. Zografos","doi":"10.1016/j.tre.2025.104017","DOIUrl":"10.1016/j.tre.2025.104017","url":null,"abstract":"<div><div>Transportation terminals play an important role in the functioning of the transportation system. Therefore, the efficient use of the capacity of transportation terminals is considered a major determinant of the performance of transportation networks. An important decision related to the efficient functioning of congested terminals relates to the optimum allocation of the available capacity to different operators (users). The capacity allocation problem in transportation terminals, such as airports, railroad stations, ports, involves the optimum apportion of the available capacity to different users, such as airlines, rail, and shipping companies, while satisfying operational, and regulatory constraints and requirements. Motivated by the similarities across capacity allocation problems in terminals of different transportation modes and the lack of a unifying framework, this study introduces a generic mixed integer linear programming (MILP) formulation and demonstrates its applicability through a detailed application of the proposed model for rail networks. The generic mathematical model is a generalization of models highly utilized in airport slot allocation. We explicitly present how the model applies to the train timetabling problem and conduct computational experiments using publicly available data. Our computational experiments show that the model consistently achieves optimal solutions across almost all tested cases, including instances where published solutions are suboptimal. The analysis of the results for a specific instance indicates that incorporating station capacity constraints yields the same set of scheduled requests but alters the deviations from the desired arrival and departure times. In contrast, increase in the flexibility of the requested times significantly affect the solution, leading to increase in the number of scheduled trains, deviations, and the overall length of the journey.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"196 ","pages":"Article 104017"},"PeriodicalIF":8.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487183","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":"Airport slot allocation with low-carbon consideration","authors":"Yiqun Wang,&nbsp;Yaodong Ni","doi":"10.1016/j.tre.2025.104009","DOIUrl":"10.1016/j.tre.2025.104009","url":null,"abstract":"<div><div>Continuously increasing carbon emissions pose new challenges to the civil aviation industry. Although new techniques to reduce emissions are being developed, the aviation industry still calls for research on advanced management practices. Airport slot allocation in air traffic flow management aims to reduce flight delays by rescheduling flights. This study extends previous research by proposing a <em>low-carbon air traffic management model</em> that considers flight carbon emissions during airport slot allocation. The model is formulated as a nonlinear integer programming. A <em>flight-based variable neighborhood search</em> algorithm is developed to solve the model. The algorithm is extended by operating flights in different slots within an airport network. Computational experiments on real-world data show that the algorithm can generate a near-optima solution within a short amount of time. A case study based on the solutions indicates that the model can effectively reduce carbon emissions by 26.3%, while simultaneously maintaining delays at a comparable level. These results provide insights into future practices for the civil aviation industry.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"196 ","pages":"Article 104009"},"PeriodicalIF":8.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474520","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":"Combinatorial Group-Buying double auction for recycled remanufacturing products of construction waste","authors":"Xiang T.R. Kong ,&nbsp;Rui Huang ,&nbsp;Kai Kang ,&nbsp;Suxiu Xu","doi":"10.1016/j.tre.2025.104030","DOIUrl":"10.1016/j.tre.2025.104030","url":null,"abstract":"<div><div>Digital trading plays a crucial role in construction waste resource utilization. However, supply–demand imbalance and inefficient pricing exist under a prevalent negotiation-based trading approach and a fixed price mechanism, resulting in high transaction costs and rigid clearing prices. Furthermore, high ask prices restrict the transaction scale of recycled remanufacturing products of construction waste (RRPCW). These deficiencies severely hinder development of RRPCW digital trading market. Motivated by the successful implementation of group-buying in various industries, this article aims to propose a combinatorial group-buying double auction mechanism to deal with the challenges in RRPCW transactions. A combinatorial double auction is firstly established where buyers are allowed to bid on bundles of RRPCW to satisfy their full set of procurement requirements. To further scale up transactions, group-buying is incorporated into the auction, where sellers provide corresponding discounts to their matched buyers when thresholds are reached. Such an approach can effectively leverage buyers’ collective purchasing power and scale effect to lower the purchasing costs. The winner determination problem is solved with a bid density-based scheme, while buyers’ payments and sellers’ revenues are calculated by a critical value-based scheme. Theoretical analysis manifests that the designed mechanism can realize individual rationality, strong budget balance and incentive-compatibility of buyers. Five sensitivity analyses including buyers’ bid prices, threshold levels, discount degrees, seller supply heterogeneity, and buyer demand distribution on the mechanism’s overall performance are examined. Additionally, the results of comparative analysis among the proposed mechanism, its counterparts and the fixed price mechanism under different market conditions demonstrate the superiority of our new designed mechanism. Finally, managerial implications are summarized based on the stakeholders’ multi-dimension perspectives. Especially, we emphasized that the regulatory role of the platform is vital for the sustainable and healthy development in the construction waste trading industry.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"196 ","pages":"Article 104030"},"PeriodicalIF":8.3,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471372","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":"Optimizing the loading of double stack trains under uncertain container availability","authors":"ManWo Ng ,&nbsp;Yu-Chi Lee ,&nbsp;Dung-Ying Lin","doi":"10.1016/j.tre.2025.104016","DOIUrl":"10.1016/j.tre.2025.104016","url":null,"abstract":"<div><div>This paper contributes to the literature on the operations management of double stack trains by introducing a new, real-world research problem that arises when loading trains at marine container terminals with on-dock rail service. Specifically, in this research we model the reality that containers that need to be loaded on railcars can be unavailable at the time of loading, while optimizing the assignment of railcars to hubs and trains, and containers to railcars. To this end, we propose a two stage stochastic program that aims to minimize the number of well cars used when container availability is uncertain (first stage) while also maximizing their space utilization when taking corrective actions (second stage). For its solution, a tailored integer L-shaped solution method is presented. Algorithmic performance and managerial insights are highlighted in a series of numerical experiments. Findings include: 1) The proposed L-shaped method is superior compared to a state-of-the-art commercial solver (up to 5 times faster in our experiments). 2) It is beneficial for the rail manager to prioritize making available 40-foot containers versus 20-foot containers. 3) The higher the probability of container availability in the second stage, the more well cars should be made available in the first stage.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"196 ","pages":"Article 104016"},"PeriodicalIF":8.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471320","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":"Optimal rebalancing and charging of shared electric scooters using charging hubs","authors":"Jesus Osorio,&nbsp;Yanfeng Ouyang","doi":"10.1016/j.tre.2025.104018","DOIUrl":"10.1016/j.tre.2025.104018","url":null,"abstract":"<div><div>This paper addresses the overnight e-scooter rebalancing and charging problem in which e-scooters can be charged at a set of capacitated charging hubs. Operators use capacitated vehicles to collect e-scooters that need charging, drop them off at the hubs for charging, and pick them up later for repositioning. First, a discrete mathematical formulation is presented to optimize the drop-offs and pickups of e-scooters, as well as the routing/scheduling of vehicles. E-scooters of different states of charge (SoC) are modeled as multiple commodities linked through an SoC transition function. To reduce computational burdens, a discrete–continuous hybrid model is developed such that asymptotic vehicle routing formulas can be used to approximate local tour lengths and operational costs, and at the same time provide guidelines for building near-optimum feasible solutions. The hybrid model produces close approximations to the feasible solution in short times and shows to be a potential tool for strategic decision-making. Numerical tests showed interesting interdependencies and trade-offs among the numbers and capacities of both hubs and vehicles. Running dispersed charging hubs, even smaller ones, could result in a superior system service than running a few centralized hubs.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"196 ","pages":"Article 104018"},"PeriodicalIF":8.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}