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

{"title":"Signaling cost with price guarantee window under two logistics modes: Self-supporting vs. third-party logistics","authors":"Xiang Li ,&nbsp;Faqi Xie ,&nbsp;Yunqiang Yin ,&nbsp;T.C.E. Cheng ,&nbsp;Samantha S. Park","doi":"10.1016/j.tre.2025.104262","DOIUrl":"10.1016/j.tre.2025.104262","url":null,"abstract":"<div><div>The price guarantee window (PGW), an operations management tool that mitigates the negative impact of price reductions of a technology-based product (TBP), has been little studied in the literature, whereas it has been heavily used in practice to promote early consumer purchases. We consider PGW as a cost signal versus the effect of the logistics model on PGW for the first time to develop a two-period game model in which the monopoly decides whether to choose self-supporting or third-party logistics to transport its products and whether to disclose cost information to consumers. We find that, compared with third-party logistics, self-supporting logistics extends the length of the PGW when the service cost of self-supporting logistics is low; otherwise, it shortens the length of the PGW. In equilibrium, when the first period of sales is short, it is more beneficial for the firm to choose third-party logistics; otherwise, it is more profitable to choose self-supporting logistics. Third, cost information disclosure would not necessarily shorten the PGW of a high-cost firm unless the cost difference varies significantly. Finally, a high-cost firm should hide its cost information when the service cost of self-supporting logistics is high, while when this cost is low, this firm should actively disclose the cost information</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104262"},"PeriodicalIF":8.8,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739290","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":"Incorporation of regional preferences in facility location: Insights into efficiency and satisfaction trade-offs","authors":"Víctor Blanco ,&nbsp;Ricardo Gázquez ,&nbsp;Marina Leal","doi":"10.1016/j.tre.2025.104328","DOIUrl":"10.1016/j.tre.2025.104328","url":null,"abstract":"<div><div>This paper studies a regional demand continuous multifacility location problems whose main goal is to locate a given number of facilities and service points in each region to distribute certain products to the users at minimum transportation cost. Additionally, a minimum satisfaction level is required for the customers in each region. This satisfaction is measured through continuous preference functions that reflect the satisfaction degree of each location in the region. We provide a mathematical optimization-based framework for the problem and derive suitable Mixed Integer Second Order Cone optimization models for some interesting situations: norm-based transportation costs for the facilities to the service points, and different families of preference functions. Among these preference functions, we highlight those derived from economic production models and distance-based preferences. We conduct an extensive computational study along two main lines: a computational approach, where we provide optimal solutions for up to 500 demand regions in the single-facility case and up to 50 for the <span><math><mi>p</mi></math></span>-facility case; and a qualitative approach, where we analyze whether the incorporation of preferences is statistically significant compared to the case without preferences.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104328"},"PeriodicalIF":8.8,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750535","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":"Routing and adopting of green technology in road freight transportation under the carbon cap-and-trade scheme","authors":"Zhijia Tan ,&nbsp;Ming Wang ,&nbsp;Zhengfei Zheng ,&nbsp;Hai Yang","doi":"10.1016/j.tre.2025.104193","DOIUrl":"10.1016/j.tre.2025.104193","url":null,"abstract":"<div><div>The carbon cap-and-trade (CCT) scheme is one of the market-based measures widely adopted in many industries, which can effectively reduce carbon emissions and promote green technology by internalizing external costs. This paper investigates the routing of freight carriers and the behavior of the adoption of green technology in a general transportation network under the CCT scheme. Under the scheme, the government sets the carbon quotas between each origin–destination (OD) pair for a unit of freight. The carriers jointly make their routing and green technology adopting choices (such as purchasing low-emission vehicles) to minimize their total cost, including the transportation cost, the capital cost of green technology, and the trading cost or revenue from the inner carbon market. The routing and green technology adopting problem under the CCT scheme can be modeled as the traditional minimum-cost network flow problem with carbon trading equilibrium constraint. Their collective behavior endogenously determines the trading price of carbon emissions between carriers. We found that the route and technology choice between each OD pair must be Pareto optimal in the sense of simultaneous minimization of the cost (transportation cost and capital cost) and emissions. Therefore, the relationship between the trading price and the carrier’s choice can be built. Two algorithms based on the relationship are proposed to calculate the optimal solutions under any carbon cap level. The conclusion and algorithm are also extended to various cases with multiple green technologies. Furthermore, we compare the CCT scheme and the environmental tax scheme. We conclude that the CCT scheme is more efficient in promoting green technology, since the trading revenue is redistributed among carriers to reduce their carbon abatement cost. Case studies based on a large-scale real-world road network validate the practicality and effectiveness of the model.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104193"},"PeriodicalIF":8.8,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739289","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":"Urban air mobility network design and operations strategy in an urban agglomeration","authors":"Ziyu Wang ,&nbsp;Di Lv ,&nbsp;Shuai Jia ,&nbsp;Kai Wang ,&nbsp;Xiaobo Qu","doi":"10.1016/j.tre.2025.104316","DOIUrl":"10.1016/j.tre.2025.104316","url":null,"abstract":"<div><div>Urban air mobility (UAM) is an emerging mode of mobility implemented with the utilization of electric vertical take-off and landing vehicles (eVTOLs). UAM is expected to overcome the major side-effects of traditional transportation systems, such as land overuse, congestion, and pollution, since the UAM services are operated in the low-altitude airspace. This paper studies the design of an UAM service network in an urban agglomeration by modeling and analyzing the vertiport locations, eVTOL fleet operations, and passenger acceptance, so as to provide a viable solution for the design of an efficient and sustainable UAM system. We propose a mixed-integer nonlinear programming model to capture the tactical and operational aspects of the UAM system. By exploiting the structural properties of the nonlinear model, we reduce the numbers of variables and constraints and convert the model into an equivalent linearized version, facilitating the generation of optimal solutions for the application in a large urban agglomeration. To validate the applicability of our model and solution, a case study on major cities in the Guangdong-Hong Kong-Macao Greater Bay Area is conducted. The results indicate that UAM offers higher transportation efficiency compared to traditional ground transportation due to point-to-point flights and immunity to ground traffic congestion, with a reduction of up to 78 min in the average travel time. In addition, sensitivity analysis on passengers’ time sensitivity, eVTOL procurement cost, and flight service price are conducted to reveal insights into the UAM performance and optimal system design.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104316"},"PeriodicalIF":8.8,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721410","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":"Balancing privacy and revenue: A differentially private dynamic pricing algorithm for ride-hailing","authors":"Bing Song,&nbsp;Sisi Jian","doi":"10.1016/j.tre.2025.104310","DOIUrl":"10.1016/j.tre.2025.104310","url":null,"abstract":"<div><div>In this study, we propose a differentially private contextual dynamic pricing algorithm for ride-hailing platforms to address growing concerns about privacy leakage. The ride-hailing platform offers an expected price for trip requests from sequentially arriving passengers, initiating the matching process upon price acceptance. Passengers’ trip valuations are determined by a function of the trip contexts and their private preferences. While existing contextual dynamic pricing algorithms can adjust prices over time and learn optimal group pricing through individual interactions, they pose significant privacy exposure risks. Malicious third parties could potentially infer individual passenger information from price fluctuations following specific passenger engagements. To mitigate these risks, we introduce and incorporate differential privacy to design a privacy-preserving contextual dynamic pricing algorithm for ride-hailing platforms. This algorithm maximizes platform revenue, or equivalently minimizes regret relative to the online optimal policy, while ensuring bounded privacy leakage of individual passenger valuations, given knowledge of the passenger preference distribution. Theoretically, we demonstrate that the proposed algorithm satisfies <span><math><mi>ϵ</mi></math></span>-differential privacy requirements and achieves an expected regret of <span><math><mrow><mover><mrow><mi>O</mi></mrow><mrow><mo>˜</mo></mrow></mover><mrow><mo>(</mo><mfrac><mrow><msqrt><mrow><mi>d</mi><mi>T</mi></mrow></msqrt></mrow><mrow><mi>ϵ</mi></mrow></mfrac><mo>)</mo></mrow></mrow></math></span>, where <span><math><mi>d</mi></math></span> is the dimension of trip context and <span><math><mi>T</mi></math></span> is the total number of requests. This theoretical bound implies that as <span><math><mi>T</mi></math></span> approaches infinity, the proposed algorithm not only achieves optimality for individual passengers but also protects their privacy information almost freely.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104310"},"PeriodicalIF":8.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713632","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":"Climate influence on Panama Canal operations: Predicting canal water times with integrated environmental and operational data","authors":"Gabriel Fuentes ,&nbsp;Ziaul Haque Munim","doi":"10.1016/j.tre.2025.104319","DOIUrl":"10.1016/j.tre.2025.104319","url":null,"abstract":"<div><div>In this study, we examine the extent to which Panama Canal Water Times (CWT) can be predicted using a combination of historical values and external features, including vessel activity, climate indicators, and operational constraints. With the use of high-frequency Automatic Identification System (AIS) data, Gatun Lake water levels, and the Oceanic Niño Index (ONI), we reconstruct a weekly panel of vessel transits and evaluate a range of prediction models, including statistical time series methods and supervised machine learning algorithms. Among these, Long Short-Term Memory (LSTM) networks demonstrate better performance for short-term predictions, while Random Forests perform best at longer horizons. Our results show that lagged CWT values and vessel behaviour, particularly prearrival speed, are strong predictors of future congestion. Importantly, we identify a consistent negative relationship between ONI (lagged six weeks) and CWT, suggesting that El Niño triggers prompt preemptive actions such as early booking of transit slots, which may reduce CWT. These climate-related effects also appear to influence the composition of vessels, with bulk carriers reducing throughput, while more time-sensitive vessels, such as container vessels, remain largely unaffected. These findings have important implications for voyage planning through the Panama Canal and contribute to broader discussions on how climate variability affects sensitive maritime chokepoints.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104319"},"PeriodicalIF":8.8,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721408","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":"On the connectivity and resilience of airline overlays: An empirical study from individual airlines to system-wide effects","authors":"Xiaoqian Sun ,&nbsp;Morton O’Kelly ,&nbsp;Sebastian Wandelt","doi":"10.1016/j.tre.2025.104333","DOIUrl":"10.1016/j.tre.2025.104333","url":null,"abstract":"<div><div>Existing research on air transport networks has extensively explored connectivity, resilience and operational efficiency. The role of interactions between airline networks, however, and their impact on connectivity/resilience remains underexplored. This study investigates how the interplay/overlay of multiple airline networks influences the centrality and connectivity of cities within the global air transport system. By analyzing various network properties, we provide quantifications of the effects inherent to airline network overlays regarding two distinct perspectives: one based on connectivity and a complementary one based on resilience. We demonstrate how the aggregation of diverse airlines changes values of important indicators regarding both aspects. By emphasizing the importance of network overlays, this study contributes to a deeper understanding of air transport dynamics, enabling more robust and efficient global connectivity.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104333"},"PeriodicalIF":8.8,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721409","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":"Resolving the digitalization–sustainability energy paradox: Small Modular Reactor (SMR)-enabled resilience in supply chains","authors":"Srinivas (Sri) Talluri ,&nbsp;Jiho Yoon ,&nbsp;Seayoung Park ,&nbsp;Jaeyoung Oh","doi":"10.1016/j.tre.2025.104334","DOIUrl":"10.1016/j.tre.2025.104334","url":null,"abstract":"<div><div>Recent disruptions and sustainability mandates expose a critical paradox in supply chains (SCs). While digitalization enhances visibility and agility, it also increases dependence on continuous, high-quality energy, just as sustainability efforts drive a shift toward intermittent renewable sources. The “Digitalization–Sustainability Energy Paradox” increases the vulnerability of digitally enabled SCs to systemic energy shocks. This paper develops a conceptual framework to explore how Small Modular Reactors (SMRs), as decentralized clean energy sources, can address this paradox by enabling resilient and sustainable operations. Using a scenario-based analysis that contrasts a grid-dependent distribution center with diesel backup versus an SMR-powered facility during a prolonged power outage, we conceptually examine implications for operational continuity, network spillover effects, financial exposure, and environmental implications. This illustrative exploration highlights how the integration of clean energy infrastructure transforms energy from a background utility into a strategic design variable for resilience. The paper contributes to SC management theory by (1) conceptualizing SMRs as enablers of resilience–sustainability alignment, (2) applying paradox and high-reliability perspectives to infrastructure risk, and (3) illustrating how energy architecture influences operational, environmental, and financial outcomes under disruption. Our conceptual analysis underscores the need to treat energy architecture as a strategic design variable and call for new decision-making approaches in the face of compound sustainability challenges. While conceptually promising, the successful deployment of SMRs will depend on addressing societal concerns, regulatory complexity, and long-term waste management through coordinated policy and stakeholder engagement.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104334"},"PeriodicalIF":8.3,"publicationDate":"2025-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713258","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":"Green supply chain evolution: A multimodal logistics strategy for capping carbon emissions","authors":"İbrahim Çapar ,&nbsp;Christopher M. Rump ,&nbsp;William Sawaya ,&nbsp;Zubair Mohamed ,&nbsp;Jessica Alves (Mysyk)","doi":"10.1016/j.tre.2025.104250","DOIUrl":"10.1016/j.tre.2025.104250","url":null,"abstract":"<div><div>This paper examines a multi-modal global distribution network modeled with real-life data from a Fortune-50 retailer, exploring the cost tradeoff in utilizing electric vehicles and slowing of ships at sea to lower carbon emissions based on the best current technologies. This optimization model enables a holistic view of this tradeoff, minimizing manufacturing, distribution and inventory costs while imposing constraints on carbon emissions. A longer-term analysis incorporates nearshoring of manufacturing which shortens supply chains and reduces costs and emissions. The results reveal that the initial slowing of ships at sea has the most impact on cutting carbon emissions. The adoption of electric ground vehicles occurs later, allowing stable contracts with traditional transportation providers in the near term. Nearshoring manufacturing to Mexico in the longer term accelerates the use of e-vehicles. Exploring the cost for capping carbon emissions, management should opt to forego a full carbon reduction in favor of one that follows the <span><span>Pareto principle</span><svg><path></path></svg></span> instead, achieving 80%–90% of the possible carbon reduction for less than 20% of the full reduction cost. These results empower management to strategically make a combination of transportation and nearshoring decisions on the journey towards a reduced carbon footprint.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104250"},"PeriodicalIF":8.3,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710970","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":"Emission surcharge in the European Union Emissions Trading System: A competitive analysis for shipping companies","authors":"Junjin Wang ,&nbsp;Baiyu Zhang ,&nbsp;Qinghua Zhu ,&nbsp;Jiaguo Liu","doi":"10.1016/j.tre.2025.104338","DOIUrl":"10.1016/j.tre.2025.104338","url":null,"abstract":"<div><div>In the European Union Emissions Trading System (EU ETS), shipping companies operating on EU-regulated routes (intra-EU and extra-EU voyages) are required to purchase EU allowances (EUAs) for greenhouse gas (GHG) emissions. This regulatory shift has catalyzed two effects: (1) the structural reconfiguration of operational cost frameworks, and (2) the introduction of an emission surcharge (EMS) as a pricing instrument independent of the base freight rate. The EMS is redefining competitive paradigms, shifting market rivalry from conventional freight rate competition to full price (EMS + freight rate) competition that incorporate environmental cost internalization. By employing a surcharge competition model involving two heterogeneous shipping companies (a large one characterized by greater capacity with superior service and high freight rate, and a small one characterized by relatively limited capacity with inferior service and low freight rate), this study explores the EMS pricing strategies, and examines the surcharge competition, the full price competition, and the effect of EMS on the performance outcomes. It further incorporates shipper sensitivity to EMS, as shippers, being key stakeholders in the shipping supply chain, can significantly influence surcharge strategies through their varying levels of EMS sensitivity. The analysis reveals several key findings. First, if a competitor exits the market due to high EMS, the remaining company can adopt a fixed surcharge. As the competitor’s EMS decreases, the remaining company should implement a regulatory surcharge to squeeze the competitor out of the market. When the competitor further reduces EMS, the market transitions to a coexistence scenario, where a responsive surcharge becomes the primary strategy. Second, shipping companies can strategically combine “EMS + full price” to enhance their competitive advantage. Third, a “win–win” situation is achievable under specific conditions: high shipper sensitivity to EMS coupled with low EUA price. Based on these research findings, this paper provides suggestions for policy formulation and improvement.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104338"},"PeriodicalIF":8.3,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711036","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}