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

{"title":"Two-dimensional lane configuration design approach for Autonomous Vehicle Dedicated Lanes in urban networks","authors":"Xiangdong Chen,&nbsp;Fang Zhang,&nbsp;Hao Guan,&nbsp;Qiang Meng","doi":"10.1016/j.tre.2024.103938","DOIUrl":"10.1016/j.tre.2024.103938","url":null,"abstract":"<div><div>This study focuses on optimizing Autonomous Vehicle Dedicated Lanes (AVDLs) in urban networks, a critical step in managing mixed traffic where autonomous vehicles (AVs) and human-driven vehicles (HVs) coexist. Traditional AVDL deployment strategies have mainly optimized the number of AVDLs without adequately considering the directional functionality of lanes or their various lane-specific travel costs at intersections. To address these gaps, we propose a two-dimensional lane configuration approach that optimizes both the number of AVDLs on each road segment and their directional functionality for various traffic movements. Intersection delays are incorporated into the travel cost computation, through identifying the specific right-of-way allocations associated with different lane types. The proposed approach enables a more precise calculation of traffic volumes and travel costs on each lane-specific path, by categorizing travel into AVDL-only paths, hybrid-lane paths, and regular lane (RL)-only paths. A lane-specific user equilibrium (UE) model is developed to capture traffic dynamics on various lane types, with the existence and uniqueness of the UE solution rigorously proven. The AVDL configuration optimization is efficiently solved using a bi-level solution method. This method integrates a customized Monte Carlo Tree Search (MCTS) algorithm with a traffic accommodation ranking approach and a Frank–Wolfe-type algorithm with a link pruning technique to enhance computational efficiency. Numerical experiments on a toy network and the well-known Sioux-Falls network demonstrate the effectiveness of the proposed two-dimensional AVDL configuration approach and the efficiency of the bi-level solution method. This study contributes to the field by extending AVDL configuration to two dimensions, providing a comprehensive framework for future urban network design in mixed traffic environments.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103938"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887896","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 pricing for sustainable government-subsidized omnichannel closed-loop supply chains","authors":"Behrooz Khorshidvand ,&nbsp;Adel Guitouni ,&nbsp;Kannan Govindan ,&nbsp;Hamed Soleimani ,&nbsp;Leila Talebi ,&nbsp;Soheil Sibdari","doi":"10.1016/j.tre.2024.103932","DOIUrl":"10.1016/j.tre.2024.103932","url":null,"abstract":"<div><div>In this study, we explore how government subsidies contribute to the adoption of environmentally sustainable practices in supply chains, focusing on pricing, green awareness, marketing, and recycling. We compare decentralized, centralized, and collaborative operational models, both with and without subsidies, and find that the green-cost-sharing collaborative model significantly enhances supply chain profitability. This model is more cost-effective for manufacturers and retailers than decentralized or centralized approaches and achieves higher green performance compared to the decentralized model. It also strengthens recycling efforts and enhances retailers’ multitasking capabilities within a closed-loop network. Furthermore, it delivers stakeholder satisfaction comparable to centralized models while requiring significantly less selling effort, and it outperforms decentralized models in operational efficiency. Additionally, we identify the equilibrium subsidy level that maximizes environmental efficiency across decentralized and collaborative frameworks. This research provides valuable insights for policymakers and strategists, contributing to both academic literature and practical applications.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103932"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887899","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":"A delay-resistant cloud supported control model for Optimizing vehicle platooning operation","authors":"Ying Liu ,&nbsp;Qing Xu ,&nbsp;Guangwei Wang ,&nbsp;Yi Liu ,&nbsp;Mengchi Cai ,&nbsp;Chaoyi Chen ,&nbsp;Jianqiang Wang ,&nbsp;Guodong Yin","doi":"10.1016/j.tre.2024.103928","DOIUrl":"10.1016/j.tre.2024.103928","url":null,"abstract":"<div><div>The cloud supported system can effectively optimize vehicle platooning operation due to its centralized control mode in the cloud, but due to its wireless transmission characteristics and the complexity of the mixed traffic environment, the controlled traffic units will inevitably suffer from time delays and outside disturbances, which can lead to serious safety issues. To address the problem of platooning stable operation under stochastic road slope and bi-directional time-varying delay, a novel delay-resistant cloud supported control model is proposed in this paper. First, the mixed vehicle platoon system under the vehicle–road-cloud integrated architecture is established, considering the influence of driving intentions’ uncertainty of human-driven vehicles (HDVs), random variations of road slope, and bi-direction time-varying delay. Second, an exponential mean-square stable delay-dependent controller is designed to stabilize the cloud supported platoon system subject on the basis of robust <em>H_∞</em> approach and Lyapunov-Krasovskii theorem. In addition, the inner-vehicle stability of time-delay mixed platoon system is analyzed using the enhanced free weighting matrix (EFWM) approach along with the improved cone complementarity linearization (ICCL) algorithm. Third, a <span><math><msub><mtext>L</mtext><mn>2</mn></msub></math></span> string stability criterion is defined to inhibit the increasement of perturbances as they propagate along the platoon. Finally, real traffic data as well as different driving conditions are adopted to verify the control performance of the presented method. Compared to traditional vehicle platoon control method, the presented controller can achieve better disturbance suppression and tracking performance under stochastic interferences and bi-direction time-varying delay, the distance error between adjacent vehicles is less than 0.44 m at low and medium speeds.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103928"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867656","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 billion-pound question in fashion E-commerce: Investigating the anatomy of returns","authors":"Joshua Marriott,&nbsp;Tolga Bektaş,&nbsp;Erik Ka Ho Leung,&nbsp;Andrew Lyons","doi":"10.1016/j.tre.2024.103904","DOIUrl":"10.1016/j.tre.2024.103904","url":null,"abstract":"<div><div>This study explores a critically under-researched aspect of Supply Chain Management (SCM), e-commerce returns in the fashion sector. By combining a comprehensive literature review with empirical data from the UK’s second-largest pure-play fashion retailer, the research offers new insights into the scale and drivers of fashion e-commerce returns. Using a mixed-methods approach, the study uncovers detailed patterns in returned items and the reasons behind consumer return behaviours, revealing the operational complexities these returns impose on reverse logistics processes. In 2022 alone, fashion returns cost the UK industry an estimated £7 billion, while contributing to 750,000 tonnes of CO₂ emissions from discarded apparel. A novel framework is proposed to address the challenges associated with high-volume returns, providing practical strategies for improving returns management efficiency. The findings contribute significantly to the SCM field by offering empirical evidence on the specifics of fashion returns, an area previously lacking robust data. This paper not only fills this gap but also provides actionable insights for both academic research and industry practice. By focusing on the management of returns within fashion e-commerce, the study contributes to the development of more sustainable and efficient supply chain strategies, advancing current knowledge within SCM research.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103904"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867660","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":"Multivariate discrete choice with rational inattention: Model development, application, and calibration","authors":"Xin Chen ,&nbsp;Gege Jiang ,&nbsp;Yu Jiang","doi":"10.1016/j.tre.2024.103899","DOIUrl":"10.1016/j.tre.2024.103899","url":null,"abstract":"<div><div>The recent application of the rational inattention (RI) theory in transportation has shed light on a promising alternative way of understanding how information influences the travel choices of passengers. However, existing RI literature has not yet addressed the discrete choice problem with multiple variates. Thus, this study develops a multivariate rational inattention (MRI) discrete choice model. This assumes that acquiring information is costly and the unit information cost varies among variates, so decision-makers rationally choose the amount of information to acquire for each variate. We demonstrate that the MRI discrete choice model results in a probabilistic formulation similar to the logit model, but with the superiority of integrating unit information costs and the prior knowledge of decision-makers. Furthermore, we apply the MRI discrete choice model to the metro route choice problem and calibrate the model based on the revealed preference (RP) data collected from the Chengdu metro. It is found that the proposed model has satisfactory accuracy with better interpretability than the logit model and univariate rational inattention discrete choice model.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103899"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816533","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":"Resilience-based transportation system planning optimization through dedicated autonomous vehicle lanes configuration","authors":"Taiyi Zhao ,&nbsp;Zhiguo Sun ,&nbsp;Jingquan Wang ,&nbsp;Yuchun Tang ,&nbsp;Liz Varga ,&nbsp;Mirosław J. Skibniewski","doi":"10.1016/j.tre.2024.103939","DOIUrl":"10.1016/j.tre.2024.103939","url":null,"abstract":"<div><div>During the transition phase when connected and autonomous vehicles (CAVs) and human driven vehicles (HDVs) coexist on the road, it is essential to devise scientific lane management strategies for CAVs in enhancing the operational efficiency of the transportation system (TS). It is worth noting that most current studies do not incorporate the resilience requirements of the TS to effectively respond to seismic events in the planning process. In this study, a novel resilience-based planning optimization methodology through dedicated autonomous vehicle lanes (DAVLs) configuration is proposed in the form of bi-level structure. The optimal configuration scheme for generating DAVLs in the upper level has the optimization objective of minimizing the overall impedance of the TS while meeting the system’s resilience constraints. In terms of the lower level, it quantifies the TS’s functions, fully considering the impact of CAVs on the time value, fuel consumption, and link flow capacity. In order to balance the optimization performance and computational costs, a heuristic algorithm combining genetic algorithms and successive averaging method are integrated to solve the proposed bi-level programming model effectively. On this basis, the proposed methodology adopts a real-world large-scale transportation network regarding deterministic and stochastic earthquake damage scenarios. The sensitivity analysis outcomes show that the market penetration of CAVs and the predefined system resilience threshold have different mechanisms of actions on the optimal configuration strategy of DAVLs and the system performance of TS.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103939"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887895","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 data-driven hybrid scenario-based robust optimization method for relief logistics network design","authors":"Mohammad Amin Amani ,&nbsp;Samuel Asumadu Sarkodie ,&nbsp;Jiuh-Biing Sheu ,&nbsp;Mohammad Mahdi Nasiri ,&nbsp;Reza Tavakkoli-Moghaddam","doi":"10.1016/j.tre.2024.103931","DOIUrl":"10.1016/j.tre.2024.103931","url":null,"abstract":"<div><div>The incorporation of artificial intelligence (AI) and robust optimization methods for the planning and design of relief logistics networks under relief demand–supply uncertainty appears promising for intelligent disaster management (IDM). This research proposes a data-driven hybrid scenario-based robust (SBR) method for a mixed integer second-order cone programming (MISOCP) model that integrates machine learning with a hybrid robust optimization approach to address the above issue. A machine learning technique is utilized to cluster the casualties based on location coordinates and injury severity score. Moreover, the hybrid SBR optimization method and robust optimization based on the uncertainty sets technique are utilized to cope with uncertain parameters such as the probability of facility disruption, the number of wounded individuals, transportation time, and relief demand. Additionally, the epsilon-constraint technique is applied to seek the solution for the bi-objective model. Focusing on a real case (the Kermanshah disaster), our analytical results have demonstrated not only the validity but also the relative merits of the proposed methodology against typical stochastic and robust optimization approaches. Besides, the proposed method shows all casualties can be efficiently transported to receive medical services at a fair cost, which is crucial for disaster management.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103931"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816525","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":"Airline-High speed rail cooperation, hub congestion, and airport conduct","authors":"Alessandro Avenali,&nbsp;Tiziana D’Alfonso,&nbsp;Pierfrancesco Reverberi","doi":"10.1016/j.tre.2024.103818","DOIUrl":"10.1016/j.tre.2024.103818","url":null,"abstract":"<div><div>We study the incentives of an airline and a high-speed rail (HSR) operator to incur sunk costs and cooperate in a hub-and-spoke network with a congested hub airport. Contrary to common wisdom, we find that a high delay cost at the hub reduces incentives to cooperate, and that hub traffic may increase after cooperation. We show that airline-HSR cooperation improves consumer surplus, since higher passenger volumes yield more benefits than incremental delay costs at the hub. We also show that transport operators underinvest in airline-HSR cooperation because (depending on mode substitution and the delay cost) they may not be willing to incur sunk costs when social welfare would be higher under cooperation. We then investigate the rationale and implications of airport price regulation<em>.</em> Finally, we show that transport operators’ and the airport company’s interests may be misaligned, and that airport managers can play a role in encouraging or hindering airline-HSR cooperation, depending on their ability to commit to the airport charge.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103818"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816531","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 production and distribution scheduling matheuristic for reducing supply chain variations","authors":"Marie-Sklaerder Vié ,&nbsp;Nicolas Zufferey ,&nbsp;Leandro C. Coelho","doi":"10.1016/j.tre.2024.103905","DOIUrl":"10.1016/j.tre.2024.103905","url":null,"abstract":"<div><div>In a supply chain network, satisfying the demand at the shop level while having a smooth production at the manufacturer (or plant) level are usually conflicting objectives. For instance, the production variations will be high if the shops can order exactly what they need and when they need it. On the other hand, producing the same amount each day prevents to adapt to the variations of the demand and may generate shortages or excess inventory. This study, performed in collaboration with a major fast-moving consumer goods company, proposes a lexicographic model for managing the supply chain in an integrated manner. Seven objective functions are considered to represent the goals of various stakeholders along the supply chain (from the shop to the plant) and different priority levels. A matheuristic combining both local-search procedures and exact methods is designed for scheduling the production orders and the shipments along the supply chain to optimize the overall cost structure. The proposed neighborhood structures employed in the local-search heuristics are able to perform dedicated modifications with respect to a single objective function (e.g., shortage, production variability, inventory level) and a single solution characteristic (e.g., production, shipment) without degrading the value of higher-level objectives. As computation time is limited, a time management approach for this method is proposed. Experiments are performed on 120 instances generated with the company to capture the real situations it faces. Using a rolling-window simulation with forecasted demands, we show that our method clearly outperforms a commercial solver and several common policies used in practice. The benefit of the proposed approach is highlighted both in terms of runtime and solution quality.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103905"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918063","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":"Designing a resilient humanitarian supply chain by considering viability under uncertainty: A machine learning embedded approach","authors":"Ömer Faruk Yılmaz ,&nbsp;Yongpei Guan ,&nbsp;Beren Gürsoy Yılmaz","doi":"10.1016/j.tre.2024.103943","DOIUrl":"10.1016/j.tre.2024.103943","url":null,"abstract":"<div><div>Humanitarian supply chains (HSCs) play a crucial role in mitigating the impacts of natural disasters and preventing humanitarian crises. Designing resilient HSCs is critically important to ensure effective recovery and long-term sustainability during and after such events. This study addresses the design of resilient HSCs with viability consideration under known-unknown demand and capacity uncertainties by formulating a two-stage stochastic programming model. To solve this problem and achieve high-quality solutions, three solution approaches are developed and compared. The first approach introduces risk aversion into a genetic algorithm (GA) through chance constraints, termed GA with chance constraints (GAC). The other two approaches integrate the Random Forest (RF) algorithm with GAC, employing incremental learning (GACRFI) and non-incremental learning (GACRFNI). To evaluate the performance of these algorithms and provide insights into designing a resilient HSC, a full factorial design of experiments (DoE) is established using controllable factors. Problems are generated for three cases, each of which corresponds to a distinct disruption and ripple effect severity degree. Computational analysis shows that integrating the machine learning algorithm into the GA yields superior results across all risk level settings, leading to a win–win situation for all stakeholders in HSCs. This study provides valuable insights for designing resilient HSCs that ensure both short-term recovery and long-term sustainability by considering viability under varying risk levels and severity degrees.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103943"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918065","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}