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

{"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}

{"title":"The role of dual purpose in retailer’s store brand introduction and quality strategies within a supply chain","authors":"Mingyou Meng ,&nbsp;Shiming Deng ,&nbsp;Pin Zhou ,&nbsp;He Xu","doi":"10.1016/j.tre.2024.103912","DOIUrl":"10.1016/j.tre.2024.103912","url":null,"abstract":"<div><div>To address stakeholders’ interests, firms increasingly adopt a dual-purpose agenda, typically involving the pursuit of profits and consumer surplus (CS). This study considers a supply chain dynamic involving a retailer and a national brand (NB) manufacturer, both potentially pursuing dual purposes, to investigate how their dual-purpose nature influences the introduction and quality strategies of the retailer’s store brand (SB). Our findings show that only the retailer pursuing CS has no impact on SB quality. However, if the NB manufacturer pursues CS, SB quality declines irrespective of the retailer’s stance. Interestingly, the for-profit retailer experiences reduced profits from SB introduction when also pursuing CS and expressing a high interest in it. Conversely, SB introduction enhances the dual-purpose manufacturer’s utility when its interest in CS is relatively high. The introduction of SB may lead to unintended price and payoff implications, with the manufacturer’s profit and the wholesale price exhibiting non-monotonic relationships with its interest in CS. Consequently, compared to the for-profit scenario, this may elevate the wholesale price, exacerbating the double marginalization effect. Additionally, when the retailer pursues CS, supply chain profit may increase because of the mitigated double marginalization effect, resulting from an unconventional reduction in retail markup rather than wholesale price. Our findings suggest that manufacturers pursuing CS could strategically alleviate profit losses stemming from retailers’ SB introduction. However, retailers should exercise caution when simultaneously introducing a SB and pursuing CS from a profitability standpoint.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103912"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816526","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":"Planning of truck platooning for road-network capacitated vehicle routing problem","authors":"Yilang Hao ,&nbsp;Zhibin Chen ,&nbsp;Xiaotong Sun ,&nbsp;Lu Tong","doi":"10.1016/j.tre.2024.103898","DOIUrl":"10.1016/j.tre.2024.103898","url":null,"abstract":"<div><div>Truck platooning, a linking technology of trucks on the highway, has gained enormous attention in recent years due to its benefits in energy and operation cost savings. However, most existing studies on truck platooning limit their focus on particular scenarios that each truck can serve only one customer demand and is thus with a specified origin–destination pair, so only routing and time schedules are taken into account. Nevertheless, in real-world logistics, each truck may need to serve multiple customers located at different places, and the operator managing a fleet of trucks thus has to determine not only the routing and time schedules of each truck but also the set of customers allocated to each truck and their sequence to visit. This is well known as a capacitated vehicle routing problem with time windows (CVRPTW), and considering the application of truck platooning in such a problem entails new modeling frameworks and tailored solution algorithms. In light of this, this study makes the first attempt to optimize the truck platooning plan for a road-network CVRPTW in a way to minimize the total operation cost, including vehicles’ fixed dispatch cost and energy cost, while fulfilling all delivery demands within their time window constraints. Specifically, the operation plan will dictate the number of trucks to be dispatched, the set of customers, and the routing and time schedules for each truck. In addition, the modeling framework is constructed based on a road network instead of a traditional customer node graph to better resemble and facilitate the platooning operation. A 3-stage algorithm embedded with a ”route-then-schedule” scheme, Dynamic Programming, and Modified Insertion heuristic, is developed to solve the proposed model in a timely manner. Numerical experiments are conducted to validate the proposed modeling framework, demonstrate the performance of the proposed solution algorithm, and quantify the benefit brought by the truck platooning technology.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103898"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816532","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 mixed traffic environments with shared and private autonomous vehicles: An equilibrium analysis of entrance permit and tradable credit strategies","authors":"Maryam Shaygan ,&nbsp;Fatemeh Banani Ardecani ,&nbsp;Mark Nejad","doi":"10.1016/j.tre.2024.103897","DOIUrl":"10.1016/j.tre.2024.103897","url":null,"abstract":"<div><div>The importance of relieving central business district (CBD) congestion while fulfilling network user demand in the morning daily commute has prompted much attention to shared mobility. The deployment of ridesharing paired with autonomous vehicles is expected to bring about a paradigm shift in traffic network dynamics by eliminating the considerable reliance on solo-passenger vehicle usage. In this study, we propose and evaluate two strategies: (1) a CBD entrance permit and (2) temporal capacity allocation with tradable credit. To evaluate the effectiveness of the proposed strategies, we consider four travel modes, including Transit (T), Shared Autonomous Vehicle (SAV), Autonomous Vehicle (AV), and Conventional Vehicle (CV), and account for various factors, such as costs associated with walking, autonomous vehicle self-driving, ridesharing, travel time, and schedule delay. These strategies aim to encourage commuters to adopt sustainable transit or shared mobility options, taking into account different scenarios that consider the challenges and advantages of ridesharing alongside traditional transit systems. The findings indicate that implementing temporal capacity allocation for ridesharing with tradable credit is more advantageous compared to the CBD entrance permit, particularly when the disparity in the fixed additional cost of using SAVs and AVs is minimal. However, both strategies rely on accurately estimating the extra cost incurred by commuters when opting for ridesharing services. Besides, introducing tradable award schemes for ridesharing and transit can improve the efficiency of the system. This study highlights the importance of using new methods and strategies in regulating the travel behavior of commuters with the emergence of autonomous vehicles and shared mobility options to determine solutions for optimizing the system cost. The findings of this study provide valuable insights for transportation planners and policymakers to develop effective strategies for reducing traffic congestion in CBDs.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103897"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867654","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}