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

{"title":"Does ESG rating divergence depress trade credit? A signaling theory perspective","authors":"Li Yin ,&nbsp;Yuanhang Han ,&nbsp;Jinan Shao ,&nbsp;Jing Dai ,&nbsp;Yongyi Shou","doi":"10.1016/j.tre.2025.104369","DOIUrl":"10.1016/j.tre.2025.104369","url":null,"abstract":"<div><div>The significance of environmental, social, and governance (ESG) performance in relation to supply chain finance has been extensively studied. However, it remains unclear whether the incongruence among ESG rating scores from different ESG rating vendors for an individual firm, known as ESG rating divergence, impacts the firm’s trade credit received from its suppliers. Drawing upon signaling theory, we conceptualize ESG ratings across different vendors as a set of signals from third-party intermediaries and investigate the signaling effect of ESG rating divergence on trade credit. Further, we posit that this effect could be altered by signals from the focal firm or other third parties. Utilizing a longitudinal dataset comprising 2,780 Chinese listed manufacturing firms during the 2009–2022 period, we discover that ESG rating divergence negatively impacts trade credit. More importantly, this negative effect is mitigated by the buyer firm’s ISO 14001 certification and securities analyst coverage. Our study extends the ESG literature by uncovering the influence of ESG rating divergence on supply chain finance. It also broadens the application of signaling theory by examining the interplay of multiple signals from the focal entity and third parties.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104369"},"PeriodicalIF":8.8,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144830376","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 financial policies with carbon emission limits on capital-constrained manufacturers: Interest discount loan versus credit guarantee loan","authors":"Gaoxiang Lou ,&nbsp;Yuhan Guo ,&nbsp;Linsen Yin ,&nbsp;Zhixuan Lai","doi":"10.1016/j.tre.2025.104362","DOIUrl":"10.1016/j.tre.2025.104362","url":null,"abstract":"<div><div>Many small manufacturers face capital constraints in low-carbon product research and development. Although the government has introduced various financial support policies, the impact of financial policies with carbon emission limits on capital-constrained manufacturers has not been explored effectively. This study examines the effects of two government financial policies: interest discount loan (IDL) and credit guarantee loan (CGL). Under IDL, manufacturers must ensure compliance with government-set emissions limits. Under CGL, manufacturers are penalized for excessive carbon emissions. Our findings indicate that IDL may fail under high carbon emission caps, whereas CGL may fail under both high and low carbon emission caps. Moreover, when production quantities are high under IDL, the associated revenues of manufacturers are lower than those under CGL. Subsequently, the study expands the policy effects under combinations of financial policies (IDL and CGL) and subsidy policies (based on carbon emission reduction investments and product sales quantities), revealing that the combination scheme based on product sales quantities may increase government revenue, whereas the combination scheme based on carbon emission reduction investments does not increase revenue. Ultimately, we examine the conditions under which the manufacturer and government have either the same or different preferences for single or combination schemes, providing useful insights for practitioners when designing financial policies.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104362"},"PeriodicalIF":8.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810050","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":"Competition in complementary transport services: Integrating bike-sharing with public transit","authors":"Zhengfei Zheng ,&nbsp;Jun Wang ,&nbsp;Wei Liu ,&nbsp;Hai Yang","doi":"10.1016/j.tre.2025.104364","DOIUrl":"10.1016/j.tre.2025.104364","url":null,"abstract":"<div><div>Bike-sharing systems play a dual role in urban mobility: They act as feeders for mass transit (addressing first/last-mile challenges) and as direct alternatives for short-distance trips, potentially diverting demand from public transit. This study investigates the coexistence of bike-sharing and mass transit services, analyzing their complementary (e.g., expanding transit accessibility) and competitive (e.g., mode substitution) effects. To this end, we develop a tractable bi-level model to examine the competition and complementarity between bike-sharing and mass transit services. The lower level of the model determines equilibrium of users’ mode choice, while the upper level optimizes the operational strategies of the profit-driven bike-sharing operator and the social welfare-driven transit operator. We analyze two operational paradigms: independent operation (non-cooperative game), where bike-sharing and transit operators act in self-interest, and joint operation (Nash bargaining game) scenarios, where collaboration aims to balance profit and welfare. Through numerical case studies in Hong Kong (focusing solely on regular bicycles, and excluding e-bikes and scooters), we demonstrate that in most cases the complementary effect of bike-sharing on transit dominates the competition, as it primarily enhances transit ridership through connecting sub-trips. Introducing bike-sharing significantly reduces total social costs, even when the bike-sharing operator maximizes its own profit. Improved transit service quality enhances bike-sharing profitability and reduces competition. Furthermore, the synergetic operation of bike-sharing and mass transit further enhances overall social welfare. In synergetic operation, while the bike-sharing operator may experience a reduced profit compared to the independent operation, the bike-sharing system may still maintain a large positive profit.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104364"},"PeriodicalIF":8.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828145","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 collaborative circular supply chain network design framework for implementing individual producer responsibility under uncertainty","authors":"Arup Ratan Paramanik, Biswajit Mahanty","doi":"10.1016/j.tre.2025.104332","DOIUrl":"https://doi.org/10.1016/j.tre.2025.104332","url":null,"abstract":"This study proposes a collaborative circular supply chain (CCSC) network design framework for implementing individual producer responsibility (IPR) under uncertainty through cost-effective end-of-life recycling. Although IPR encourages the producers to adopt design-for-recyclability by retaining the extended responsibilities, the concern of economic viability remains a barrier to its implementation. The proposed framework reduces this concern by promoting collaboration among the producer, third-party recyclers, and dealers (take-back agents) with little intervention. To evaluate the economic viability of the CCSC network by maximizing the net present values of the stakeholders involved in the collaboration, a Z-number-based multi-period nonlinear mixed integer programming model is formulated, which addresses the essential extended producer responsibility (EPR) regulations. Unlike the prior studies, the proposed framework leverages the Z-numbers to represent uncertain parameters by capturing both the reliability degree of the uncertainty and the unknown hidden probability distributions. In this framework, a possibilistic programming-based approach is employed to solve the model, while a Simple Additive Weighting (SAW)-based Taguchi method is used to obtain insights regarding the optimal contract terms for more effective collaboration. This study demonstrates practical application of the framework in the tire industry, where a numerical study validates its usefulness. The results show that the CCSC network is likely to be economically viable by ensuring EPR compliance. The results also reveal that Z-numbers outperform the traditional fuzzy numbers and stochastic programming in handling uncertainty. This research contributes to the supply chain modeling under uncertainty and provides actionable insights for policymakers and practitioners seeking to implement IPR.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"27 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898571","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 multi-visit parallel drone scheduling pickup and delivery problem considering multiple trips and time windows","authors":"Shanshan Meng","doi":"10.1016/j.tre.2025.104351","DOIUrl":"https://doi.org/10.1016/j.tre.2025.104351","url":null,"abstract":"We study a new variant of the parallel drone scheduling vehicle routing problem with time windows, where multiple homogeneous trucks and drones operate in parallel to provide parcel pickup and delivery services to customers with the minimum total cost. Additionally, some paired customer requests where each package must be shipped from a pickup customer to another delivery customer by the same vehicle are considered. Each drone has the ability to serve multiple customers in a trip and can make multiple trips to increase utilisation. To better model reality, we propose a large-scale mixed-integer bilinear program that uses a bilinear term to define the energy consumed by drones while hovering at customer locations due to time windows. Later, several strengthening inequalities are added to accelerate the model-solving process. To handle large-size problems, we develop a metaheuristic based on the large neighbourhood search concept with custom destroy and repair operators and complementary local searches, embedding acceleration strategies to avoid infeasible searches. Moreover, a novel algorithm is designed to efficiently optimise the drone waiting times at the depot for each trip, which is key to the problem solution given the constraints of time windows. Finally, various numerical tests and comparisons demonstrate the superior performance of the developed metaheuristic and confirm the effectiveness of strengthening inequalities in model solving. The results highlight the superiority of the parallel mode in terms of cost reduction over the truck-only mode and the advantages of considering drone waiting times and allowing multiple drone visits and trips. Our algorithm outperforms the benchmark algorithms in the literature. The average gaps related to the solution quality from the improved large neighbourhood search are approximately 5%.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"23 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898572","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 comprehensive review of ground support equipment scheduling for aircraft ground handling services","authors":"Peng Zhou, Yu Shen, Yujing Zheng, Yuefeng Zheng, Binfeng Guo, Yuchuan Du","doi":"10.1016/j.tre.2025.104341","DOIUrl":"https://doi.org/10.1016/j.tre.2025.104341","url":null,"abstract":"Aircraft ground handling (GH) services are critical to ensuring the efficient operation of airport systems, necessitating the optimization of ground support equipment (GSE) scheduling. This study investigates the characteristics of various GH services as well as their interdependent processes, and provides a comprehensive analysis of GSE scheduling methodologies. Existing models and algorithms designed for nine types of GSE are examined, including ferry, baggage, refueling, garbage, sewage, freshwater, catering, de-icing, and towing vehicles. Particular attention is given to their similarities and distinctive features in operation, shaped by the unique requirements of their respective services. Then, with the growing emphasis on the concept of airport collaborative decision-making, recent studies regarding multi-type GSE coordination are reviewed. Based on the analysis of the literature, this study identifies current research gaps and outlines directions for future research.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"31 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898623","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 microsimulation study of curb space operational strategies and user behaviors","authors":"Yuyang Zhao, Chenhan Li, Jisoon Lim, Neda Masoud","doi":"10.1016/j.tre.2025.104346","DOIUrl":"https://doi.org/10.1016/j.tre.2025.104346","url":null,"abstract":"This paper introduces a Simulation of Urban MObility (SUMO) microscopic simulation model to examine curb space interactions and policy impacts. The model investigates user behaviors under different operational scenarios and user characteristics. Our study focuses on heterogeneous curb space zones derived from empirical observations in Ann Arbor, Michigan, to understand how user behaviors influence system performance. Through experiments, we explore dynamic responses to curb space policies based on individual curb space user traits and the actions of other users. In particular, we investigate the interactions between curb and non-curb users, the importance of accounting for curb user destinations in infrastructure design, and the effects of unlawful curb activities by some users on the utilities of other users and overall road performance. We propose practical measures to mitigate adverse effects, offering insights for developing curb space management strategies in dynamic urban settings.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"34 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898573","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":"Transitioning from incentive-based user acquisition to loyal retention on the mobility-as-a-service platform: A large-scale social experiment","authors":"Chengcheng Yu, Wentao Dong, Nixuan Ye, Quan Yuan, Chao Yang","doi":"10.1016/j.tre.2025.104363","DOIUrl":"https://doi.org/10.1016/j.tre.2025.104363","url":null,"abstract":"Mobility-as-a-Service (MaaS) platforms, which integrate various transit modes into a unified, user-friendly system, offer a promising approach to revitalizing public transit. This study empirically evaluates the effectiveness of incentive-based user acquisition policies within MaaS platforms through a large-scale social experiment conducted in Shanghai, where 10,000 participants engaged in our social experiment, receiving and using discounted weekly passes, a three-week incentive period, and an additional month of observation to assess retention and engagement effects. The analysis revealed that incentive-based acquisition policies induce substantial behavioral changes. High-frequency and mode-balanced users demonstrated higher retention rates than occasional non-regular users, yet users in all behavior statuses showed heightened churn rates once incentives were withdrawn, highlighting a dependency on continuous incentives for sustained engagement. Comparative analysis with naturally acquired users indicated that incentive-based users exhibit significantly higher churn rates and greater behavioral status transition probability. Furthermore, the Return on Investment (ROI) analysis demonstrated that discount levels do not significantly influence retention rates across different user behavior statuses. Higher incentive costs failed to yield improvements in retention, presenting a Pareto optimization challenge and suggesting that financial incentives alone are insufficient for long-term user engagement. Based on these findings, strategic recommendations include prioritizing lower discounts for a broader user base to optimize budget utilization and targeting high-ROI segments with higher discounts to recover incentive costs rapidly. This study contributes to the existing MaaS research field by providing empirical evidence from real-world social experiments, offering valuable insights to enhance user acquisition and retention through optimized incentive structures.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"14 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898574","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":"Warehouse-distribution integration routing problem under real-world transport conditions with multiple time windows and variable loading efficiency","authors":"Yinying Liu, Xin Shi, Jianmeng Liu, Pengjie Qin, Cheng Tang","doi":"10.1016/j.tre.2025.104343","DOIUrl":"https://doi.org/10.1016/j.tre.2025.104343","url":null,"abstract":"The growing trend of e-commerce enterprises establishing their own warehouses has significantly enhanced operational efficiency in urban delivery. This has given rise to the Warehouse-Distribution Integration Routing Problem (WDIRP), a variant of the Vehicle Routing Problem (VRP). However, this type of problem under real-world transport conditions, especially considering multiple time windows and variable loading efficiency, has been insufficiently studied in the existing literature. This research addresses these characteristics to more accurately reflect real-world urban delivery challenges. To solve the problem, we propose a Mixed Integer Linear Programming (MILP) model for the WDIRP with a novel methodological approach to formulate multiple time windows, which can be efficiently solved using IBM ILOG CPLEX Optimization Studio (CPLEX). Additionally, we develop a two-stage heuristic algorithm that incorporates a multi-greedy method and a Variable Neighborhood Search (VNS) method, featuring new problem-specific neighborhood structures. The computational experiments encompass 20 randomly generated small-scale instances, 20 benchmark instances, and 18 realistic instances derived from diverse geographical areas and periods in Chongqing, China. Eighteen larger-scale extended instances are also developed to further test scalability, involving up to 50 warehouses and 500 customers. The realistic instances incorporate real-world transport conditions, including road topology, traffic performance, node distribution, and customer demand, with their corresponding parameters extracted or predicted using big data technologies. Our results demonstrate that the proposed model outperforms common formulations in computational performance, and the two-stage heuristic algorithm is superior to alternative approaches in solving the WDIRP. In addition to presenting results for various instances, we implement a mountainous city simulation model to achieve the 3D simulation of the delivery scheme. The findings provide valuable insights for logistics enterprises aiming to optimize urban delivery operations.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"24 1","pages":"104343"},"PeriodicalIF":10.6,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898626","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":"Information sharing in platform supply chains under manufacturer competition and cap-and-trade","authors":"Ling Li, Qiuyu Guo, Yating Li, Congcong Wang, Pengwen Hou","doi":"10.1016/j.tre.2025.104361","DOIUrl":"https://doi.org/10.1016/j.tre.2025.104361","url":null,"abstract":"With the rapid advancement of e-commerce platforms, a large amount of consumer demand data has been accumulated, and it has become a widespread practice to share demand information with upstream manufacturers. However, the existing literature has yet to investigate online platforms’ information sharing strategy when competing manufacturers are involved, particularly within a cap-and-trade regulatory framework. In our paper, we develop a game-theoretical model with two competing manufacturers, each offering substitute products through an online platform and subject to carbon emission regulations. The platform can strategically choose from three information sharing strategies: full, partial, or non-information sharing. Our study shows that, under relatively subdued carbon prices, manufacturers exhibit a preference for the platform to share demand information with their competitors rather than with themselves. Furthermore, the practice of information sharing consistently enhances environmental outcomes, with greater levels of information sharing yielding progressively more substantial benefits. Our research contributes to the production literature by shedding light on how the regulatory policy and competitive dynamics influence information sharing strategies, investment in emissions reduction, and the overall efficiency of production processes.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"44 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898624","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}