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

{"title":"Service portfolio design for ship-then-shop subscription in online retailing","authors":"Xiaochuan Li ,&nbsp;Guo Li ,&nbsp;Huamin Wu ,&nbsp;Ou Tang","doi":"10.1016/j.tre.2025.104152","DOIUrl":"10.1016/j.tre.2025.104152","url":null,"abstract":"<div><div>Advancements in digital technologies have catalyzed the emergence of the ship-then-shop subscription service, which offers consumers a personalized shopping experience. Using this service, consumers could either receive products regularly at a fixed frequency, i.e., fixed shipment frequency service (FSF), or place orders as needed under on-demand service (ODS) by paying a service fee for each shipment. Nevertheless, suppliers’ service portfolio design is challenged by the information of consumers’ demand occurrence rates, particularly on service fee and service capacity. In this regard, this study strives to understand this problem by developing a tractable model comprising a supplier and a consumer. Consumer demand rate, either high or low, remains private information, leading to the classification of consumers in high and low types. When the difference in reservation utility is moderate, a first-best result can manifest amid information asymmetry. However, when the reservation utility of the H-type consumer is small (large), the supplier must strategically distort the service portfolio to encourage honest choices from consumers. Besides, ODS does not necessarily benefit the supplier even though the exact demand rate information is common knowledge. As the reservation utility of H-type consumers rises, the supplier’s preference for FSF initially grows but subsequently declines. Moreover, it is not necessarily the case that symmetric demand rate information proves strictly better off for the supplier when the reservation utility of the H-type consumer is extremely low. The two preceding findings elucidate the reasons for the coexistence of ODS and FSF modes in practice. Finally, information asymmetry may endow information rent to the H-type consumer.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104152"},"PeriodicalIF":8.3,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928197","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":"An interactive decision making framework design for the outsourcing cooperation between the service provider and the airline: An exact bilevel method","authors":"Xuting Sun ,&nbsp;Xiaoyao Zhao ,&nbsp;Sai-Ho Chung ,&nbsp;Hoi-Lam Ma","doi":"10.1016/j.tre.2025.104148","DOIUrl":"10.1016/j.tre.2025.104148","url":null,"abstract":"<div><div>In reality, more and more airlines outsource maintenance tasks to the maintenance, repair, and overhaul (MRO) service provider to achieve cost-effective operational planning. However, the existing literature mainly focuses on the optimal decisions from the perspective of the airline, which usually ignores the resource scarcity of the maintenance service provider (MSP) and provides “virtual optimal” solutions for aircraft maintenance routing problem (AMRP). In actual operations, the MSP may not be able to provide “mutually beneficial” maintenance services to its customers due to its resource scarcity and the lack of information sharing. Therefore, in this paper, based on industry practices we model an aviation service supply chain consisting of one MSP and one airline, in which the MSP may provide maintenance services to multiple airlines with limited spatiotemporal resources with different prices. A bilevel mixed integer programming (MIP) model is formulated to characterize the interactive decision-making structure between the MSP and the airline that aims to help increase the operational efficiency of both the MSP and the airline. An exact bilevel solution framework is developed which is verified to achieve convergence and obtain the bilevel optimality. Through the proposed algorithm, the computational study is further conducted based on the actual operational data from one of the biggest Chinese airline companies. The results verify that, compared to the benchmark, the proposed bilevel model can achieve Pareto improvement. In addition, the sensitivity analyses regarding pricing, flexible maintenance resources and opportunity cost coefficients verify the effectiveness and robustness of the proposed bilevel model, and further derive some useful managerial insights for both the MSP and the airline at strategic and operational levels.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104148"},"PeriodicalIF":8.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923961","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":"Online operations in a multichannel supply chain under service cost difference: The adoption of blockchain technology","authors":"Hui Li ,&nbsp;Devika Kannan ,&nbsp;Qi Xu","doi":"10.1016/j.tre.2025.104170","DOIUrl":"10.1016/j.tre.2025.104170","url":null,"abstract":"<div><div>E-commerce has been growing at an unprecedented rate over the last decade. Nowadays, products are sold either on online e-platforms or at traditional offline stores. Two online operation modes between suppliers and e-platforms are dominant: reselling and agency. We examine the supplier’s trade-offs for blockchain technology adoption in both online operation modes. There are two potential win–win scenarios in which the supplier and e-platform could mutually benefit. The advent of blockchain technology has not impacted the competition between online and offline channels or the selection of online operation modes. The decision of the supplier to adopt blockchain technology is also not contingent on the online operation mode. Blockchain adoption may lead to an increase in the wholesale price of products, but will not necessarily promote an increase in product demand. However, the supplier adopting blockchain technology produces an all-win effect, When the blockchain operational cost is low, all supply chain members’ attitudes toward blockchain adoption are aligned. When consumers’ trust in product information is lower, the relative effectiveness of adopting blockchain technology increases. Finally, we find that the government subsidy enables all supply chain members to achieve Pareto improvement, and supply chain coordination can be achieved through the provision of government subsidies.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104170"},"PeriodicalIF":8.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922522","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 service and quality strategies in a supply chain","authors":"Fei Sun ,&nbsp;Hui Yang ,&nbsp;Jing Chen ,&nbsp;Bintong Chen ,&nbsp;Bo Yu","doi":"10.1016/j.tre.2025.104169","DOIUrl":"10.1016/j.tre.2025.104169","url":null,"abstract":"<div><div>E-commerce platforms (EPs) commonly provide information services. This study explores an EP’s information service strategy and an original equipment manufacturer’s (OEM) quality strategy in a supply chain. The OEM outsources production to a competing contract manufacturer (CM), and both the OEM and the CM sell their products through the platform, paying a preset commission. The EP decides whether to provide information on consumer quality preferences to the two manufacturers, incurring an associated cost. The OEM needs to determine its product quality strategy by strategically setting the optimal quality level relative to the CM’s product. By developing a game-theoretical model, we derive the optimal information service strategy for the EP and the quality strategy for the OEM. Our findings show that the platform prefers to provide the information services when the CM’s product has a low cost-quality ratio or when obtaining the information is inexpensive. In addition, the OEM opts for lower product quality relative to the CM’s product when the cost-quality ratio is high. We identify two effects of the EP’s information service: increasing product quality investment (quality-discrimination effect) and intensifying competition (competition-intensification effect) driven by price adjustments. These effects significantly impact the OEM’s quality strategy when consumers have low-quality preferences, leading to reduced quality and selling price when the cost-quality ratio of the CM’s product is low. Interestingly, these effects may conflict, inducing the OEM to increase both quality and selling price when this ratio is relatively high. Our study provides valuable managerial insights, suggesting that EPs should provide the information service when the CM’s product has a low cost-quality ratio or when obtaining consumer quality preferences is inexpensive. OEMs should strategically adjust their product quality relative to the CM’s product, especially when targeting consumers with low quality preferences. Extensions confirms the robustness of the major results derived from our main model.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104169"},"PeriodicalIF":8.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923928","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":"Regulation of price discrimination in the transportation market under duopoly competition","authors":"Jinshu Cai ,&nbsp;Yanyan Ding ,&nbsp;Sisi Jian","doi":"10.1016/j.tre.2025.104127","DOIUrl":"10.1016/j.tre.2025.104127","url":null,"abstract":"<div><div>With significant advancements in platform economy and big data technologies, service providers can implement highly targeted discriminatory pricing strategies, as exemplified by charging different prices to fresh and frequent customers for identical products. This practice raises significant concerns about fairness and consumer protection. Motivated by these real-world observations, we develop a two-period pricing competition model. Our model simulates a scenario where two heterogeneous suppliers initially compete on price to attract customers in period 1. In period 2, they attempt to attract wait-and-see customers by offering lower prices for their remaining resources. A Hotelling framework accounting for customer heterogeneity and supply–demand congestion effects is used to capture customers’ strategic decision-making process and integrate the two separate periods. To regulate price discrimination, a price equity constraint is imposed at the beginning of period 2 to narrow the price gap between existing and wait-and-see customers. To quantify the impact of this regulation, we conduct a numerical study using car parking data from Hong Kong, examining changes in consumer surplus and social welfare. Our findings reveal that an appropriate level of equity regulation can incentivize customers to switch from advantaged to disadvantaged suppliers, fostering a more competitive market and mitigating the risk of monopolies. Conversely, excessively stringent price equity regulations can have unintended negative consequences, potentially diminishing overall social welfare.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104127"},"PeriodicalIF":8.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922523","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":"Hierarchical graph construction for station-free traffic demand prediction","authors":"Jinyan Hou ,&nbsp;Shan Liu ,&nbsp;Ya Zhang ,&nbsp;Haotong Qin","doi":"10.1016/j.tre.2025.104151","DOIUrl":"10.1016/j.tre.2025.104151","url":null,"abstract":"<div><div>Graph neural networks (GNNs) have been widely applied in traffic demand prediction, and traffic modes can be divided into station-based modes, such as buses and subways, and station-free modes, such as ride-hailing and bike-sharing. Existing research in traffic graph construction primarily relies on the distribution of actual traffic stations to build graphs based on the road network. However, station-free traffic demand prediction cannot utilize real traffic stations, and the complexity and heterogeneous distribution of data further introduce significant challenges. As a result, effectively leveraging this information for constructing graph structures has become a major challenge. To tackle these, this paper introduces a novel hierarchical graph construction method tailored to station-free traffic mode. We propose a novel density-based clustering algorithm (HDPC-L) to determine the flexible positioning of nodes in the graph, overcoming the computational bottlenecks of traditional clustering algorithms and enabling effective handling of large-scale datasets. Furthermore, we extract valuable information from ridership data to initialize the edge weights of GNNs. Comprehensive experiments on two real-world datasets, the Shenzhen bike-sharing dataset and the Haikou ride-hailing dataset, show that the method significantly improves the performance of the model. On average, our models show an improvement in accuracy of around 17.74% and 13.41% on the two datasets. Additionally, it significantly enhances computational efficiency, reducing training time by approximately 7.64% and 27.16% on the two datasets. We make our code available at <span><span>https://github.com/houjinyan/HDPC-L-ODInit</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104151"},"PeriodicalIF":8.3,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918236","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":"Predicting inland waterway freight demand with a dynamic spatio-temporal graph attention-based multi attention network","authors":"Lingyu Zhang ,&nbsp;Oliver Schacht ,&nbsp;Qing Liu ,&nbsp;Adolf K.Y. Ng","doi":"10.1016/j.tre.2025.104139","DOIUrl":"10.1016/j.tre.2025.104139","url":null,"abstract":"<div><div>Inland waterway transport (IWT) has gained significant attention for its environmental sustainability. Consequently, there is an increasing focus on boosting IWT’s market share to reduce transportation emissions. Accurate forecasting of IWT freight demand is crucial for ports to plan long-term targets and support a mode shift towards sustainable transport. However, forecasting IWT demand is challenging due to the complexity of external environments. This paper introduces a Dynamic Graph Attention Multi-attention Network (DGAT-MAN) model designed to forecast IWT freight demand by capturing evolving spatial and temporal dynamics. Our comparative analysis demonstrates that this model significantly outperforms established baseline approaches. As one of the first studies to apply spatio-temporal deep learning models to IWT demand forecasting, this work contributes a novel approach to enhancing sustainable transport planning.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104139"},"PeriodicalIF":8.3,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913255","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":"When should suppliers introduce a live-stream channel: The role of limited supply capacity","authors":"Shuai Xiang ,&nbsp;Chun-lai Shi ,&nbsp;Qin Zhou ,&nbsp;Wei Geng","doi":"10.1016/j.tre.2025.104175","DOIUrl":"10.1016/j.tre.2025.104175","url":null,"abstract":"<div><div>The growth of e-commerce has driven numerous suppliers to adopt live-stream channels. However, most studies fail to account for capacity limitations in supply chains. This study examines a supplier with limited capacity collaborating with a streamer to conduct live-stream sales. Using a game-theoretical approach, we analyze how capacity constraints affect a supplier’s decision to introduce live streaming through either direct or reselling channels. Our analysis reveals that a supplier is more likely to adopt a live-stream channel when the commission rate and consumers’ additional costs associated with the live-stream channel are relatively low, provided capacity is not severely limited. Interestingly, even with a reselling channel, a supplier may benefit from a live-stream channel when consumer costs are relatively high. Moreover, a supplier with moderate capacity can sustain a live-stream channel at higher consumer costs than a supplier with low capacity. The study also reveals that the introduction of a live-stream channel always increases consumer surplus but does not consistently improve social welfare unless capacity is relatively abundant. Suppliers using direct channels require greater capacity to enhance social welfare than those using reselling channels. Furthermore, these results are robust across various extensions of the model.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104175"},"PeriodicalIF":8.3,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913256","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":"Development, Calibration, and validation of a Novel nonlinear Car-Following Model: Multivariate piecewise linear approach for adaptive cruise control vehicles","authors":"Ke Ma ,&nbsp;Haotian Shi ,&nbsp;Chenyuan Ma ,&nbsp;Zhitong Huang ,&nbsp;Qingzheng Wang ,&nbsp;Xiaopeng Li","doi":"10.1016/j.tre.2025.104031","DOIUrl":"10.1016/j.tre.2025.104031","url":null,"abstract":"<div><div>As advanced driver-assistance systems (ADAS) are more widely implemented—particularly the adaptive cruise control (ACC) system in car-following behavior—accurate modeling of ACC vehicles’ behavior is needed. Currently, each vehicle manufacturer develops its ACC systems with unique controllers, creating “black boxes” that are not openly accessible for analysis. In addition, the vehicle dynamics that use sensor and dynamics systems introduce complicated inherent nonlinearity in ACC-equipped vehicles’ behaviors (hereinafter referred to as ACC vehicles). Given the complex inherent nonlinearity of ACC systems, traditional vehicle behavior modeling methods have to trade off between modeling accuracy and interpretability. To address these challenges, this study introduces an innovative multivariate piecewise linear (MPL) car-following modeling methodology to emulate any ACC system from observational data. The MPL modeling methodology allows for several empirical quantifications of the unknown design parameters of the different ACC systems as they are manifested in the vehicles’ driving behavior. This approach distinguishes itself from traditional piecewise linear models by incorporating multiple breakpoints. These breakpoints serve to capture the inherent nonlinearity of ACC vehicle dynamics across a range of linear functions. Simultaneously, these breakpoints are empirically derived from actual trajectory data, thereby enhancing modeling accuracy. A case study illustrates four calibrated MPL models based on a large-scale field automated vehicle experiment dataset. Compared to other models, the MPL models show sufficient accuracy and interpretability. This robust and transparent modeling methodology may serve as an analytical tool for future transportation planning.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104031"},"PeriodicalIF":8.3,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913254","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":"Enabling within-the-hour fresh food deliveries: Integrated order batching and zone-picking through overhead conveyors","authors":"Xiaoyu Zhang ,&nbsp;Peng Guo ,&nbsp;Jianbin Xin ,&nbsp;Andrea D’Ariano ,&nbsp;Yi Wang","doi":"10.1016/j.tre.2025.104133","DOIUrl":"10.1016/j.tre.2025.104133","url":null,"abstract":"<div><div>New retail concepts that embrace a hybrid “online + offline” business paradigm promise super-fast order fulfillment of groceries within the next hour. In this ”online + offline” retail scenario, it is crucial to efficiently fulfill many online orders within the stipulated time while adhering to the layout rules of offline retail products. Zone-picking and overhead conveyors have been introduced to cope with the significant volume of orders batching, picking, and delivering fresh products. This has led to a new integrated order batching and picking decision problem, aiming for human-machine reconciliation in Industry 5.0. For such a problem, two new mixed integer linear programming models are developed, considering minimizing the number of picking task releases and the total delay time of all orders. The computational complexity of the two problems is provided. A customized two-stage heuristic framework is developed to solve the two models with distinct solution space structures. Numerical experiments have been conducted to test the performance of the proposed methods and provide solution analysis for practical insights. The results show that the proposed heuristic reduces the number of picking tasks for workers by 19% and the total delay in completing orders by 74% compared to prevailing store practices. The proposed framework complements the existing models in the literature. It contributes to developing a comprehensive analysis of order picking by integrating human factors into operational efficiency improvement in the new retailing industry.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104133"},"PeriodicalIF":8.3,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902587","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}