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

{"title":"Identification of critical sets of ports in cascading failures of global liner shipping network","authors":"Mengqiao Xu ,&nbsp;Yihui Shen ,&nbsp;Yifan Zhu ,&nbsp;Li Hong ,&nbsp;Mengzhi Ma ,&nbsp;Linyuan Lü ,&nbsp;Kevin X. Li","doi":"10.1016/j.tre.2025.104184","DOIUrl":"10.1016/j.tre.2025.104184","url":null,"abstract":"<div><div>Cascading failures of port congestion propagation have become increasingly frequent in the global liner shipping network (GLSN), which harms international trade. To build resilience in maritime logistics, it is vital to proactively identify critical port sets whose initial failure would trigger severe consequences of port congestion propagation. This paper proposes a methodology for critical port sets identification in the cascading failures of GLSN, which integrates a cascading failure simulation model with a <em>meta</em>-heuristic optimization procedure. Specifically, a cascading failure model that considers liner shipping service routes’ port rotation adjustment behavior is introduced first. Then, the identification of critical port sets is formulated as a combinatorial optimization problem, seeking sets of ports whose simultaneous initial disruptions would trigger the largest cascade size; and an improved multi-population genetic algorithm is developed to solve this optimization problem. We demonstrate the usefulness of the proposed methodology by applying it to an empirical case of the GLSN, identifying the top 10 most critial sets of ports under different given values of set size. Extensive computational experiments validate the algorithm’s effectiveness in delivering high-quality solutions of approximate optimality. Results show that the critical sets of ports and their triggered cascade sizes are largely influenced by the service route behaviors of port rotation adjustments, and the influence becomes more profound with the increase in set size. Our proposed methodology serves as a valuable tool for proactively identifying worst-case scenarios of global port congestion propagation, thereby assisting stakeholders in resilient maritime logistics management.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104184"},"PeriodicalIF":8.3,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203544","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":"Space management policy for urban last-mile parking infrastructure: A demand-oriented approach","authors":"Johanna Amaya ,&nbsp;Sara Reed","doi":"10.1016/j.tre.2025.104185","DOIUrl":"10.1016/j.tre.2025.104185","url":null,"abstract":"<div><div>Finding parking to make deliveries in urban areas is a challenge. Urban parking infrastructure is limited due to high premium land value and increasing demand for curb space. We propose that better space management of on-street loading zones may be achieved by designing policies that incorporate behavior patterns of last-mile delivery drivers. To assess space management of the parking infrastructure, we model loading zone utilization as a Markov Decision Process with the baseline being the current first-come first-serve policy with 60 min static parking sessions. The baseline results in only 27% utilization of awarded minutes on average. We introduce flexible parking sessions to account for the demand distribution of drivers and achieve the same levels of mean utilization as 60 min parking sessions as well as improve space management by utilizing 70% of awarded minutes on average. We extend the analysis to show that flexible parking sessions may achieve competitive revenues by utilizing an increasing block pricing scheme and holding fees for advanced reservations. Furthermore, we utilize a multinomial logit model to determine willingness of drivers to park at available loading zones. The results show that our proposed parking space management policies can reduce illegal parking while increasing utilization, confirming that parking infrastructure may be better managed when parking policies match behavior of drivers.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104185"},"PeriodicalIF":8.3,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195655","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":"Tariff barriers and operational efficiency: the mitigative role of top management team supply chain management experience and potential domestic supply base","authors":"Agus Wicaksana ,&nbsp;William Ho ,&nbsp;Daniel Samson ,&nbsp;Hugo K. S. Lam","doi":"10.1016/j.tre.2025.104204","DOIUrl":"10.1016/j.tre.2025.104204","url":null,"abstract":"<div><div>Policymakers have portrayed the tariff rate on imports as an enabler for domestic firms to exploit opportunities and improve performance. However, a large tariff increase (LTI) may hinder domestic firms’ access to affordable operational inputs from overseas, potentially reducing their operational efficiency (OE). This study treats 52 LTIs imposed by the United States (U.S.) between 1990 and 2020 as exogenous shocks and employs a quasi-natural experiment to assess their impact on 258 U.S. domestic firms. Specifically, we examine the impact of LTI through the lens of downside risk and upside opportunity, measuring it in terms of the downside loss and upside gain in OE. The results indicate that LTI has adverse effects in both respects: it increases the downside loss and decreases the upside gain of OE. LTI has a more pronounced negative impact on the upside gain than on the downside loss of OE, indicating that it more severely limits domestic firms’ ability to exploit opportunities. We also find that the availability of a potential domestic supply base and the top management team’s supply chain management experience mitigate the negative effects of LTI on both the downside loss and upside gain of OE. This study reveals the holistic effects of LTI on OE and identifies mitigating factors from an operations and supply chain management perspective.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104204"},"PeriodicalIF":8.3,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144194921","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 impact of national centralized drug procurement policy on firm performance: Evidence from Chinese pharmaceutical firms","authors":"Huan He ,&nbsp;Yuanzhu Zhan ,&nbsp;Baofeng Huo ,&nbsp;Yufeng Zhang ,&nbsp;Xiaojie Shi","doi":"10.1016/j.tre.2025.104225","DOIUrl":"10.1016/j.tre.2025.104225","url":null,"abstract":"<div><div>China’s national centralized drug procurement policy, as a form of group purchasing, has successfully improved drug affordability and accessibility through significant price reductions. While prior studies have examined the long-term policy effects on pharmaceutical firms, critical gaps exist in understanding the immediate financial consequences for pharmaceutical firms, and how firm characteristics, supply chain factor, and product market factor moderate the relationship. To address this gap, we leverage data from the China Stock Market and Accounting Research (CSMAR) database and the Cninfo and utilize an event study methodology to analyze the policy impact on the financial performance of 205 Chinese pharmaceutical firms in the stock market. The results show that the policy shift led to a significant decrease in firm value by −2.67% on the day of the event, equating to approximately $661 million. Moreover, firms exhibiting higher innovation or sales intensity tend to experience a more pronounced negative impact, while those with a more concentrated supply chain are less vulnerable to regulatory changes. However, the positive role of product internationalization is not significant. The post-hoc analysis reveals that both state-owned and non-state-owned firms experienced notable declines in stock values and this adverse effect has no significant difference between the two kinds of firms. Moreover, the long-term effect analysis indicates that this negative effect can last for one year in the stock market. Our findings shed light on both firm managers and policymakers in developing regulatory adaptation strategies and responding to the impact of this policy shift.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104225"},"PeriodicalIF":8.3,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178594","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":"Data-driven predictive model for dynamic expected travel time estimation in rail freight networks: A case study","authors":"Suraj Kumar ,&nbsp;Ayush Sharma ,&nbsp;Gaurav Kumar","doi":"10.1016/j.tre.2025.104201","DOIUrl":"10.1016/j.tre.2025.104201","url":null,"abstract":"<div><div>Rail freight is vital for economic growth due to its efficiency and environmental benefits, but its lack of fixed schedules due to various delay factors poses challenges for accurate Expected Travel Time (ETT) predictions. This research addresses the need for real-time, accurate and dynamic ETT predictions crucial for maintaining efficient supply chains by developing a novel predictive model that leverages real-time data. The model ensembles Graph Convolutional Network-Long Short-Term Memory (GCN-LSTM) and Kalman Filters (KF) models to capture the complex spatiotemporal interactions and diverse traction behaviours within the freight train railway network. The methodology comprises three phases: modeling, schedule generation, and dynamic updating. In the modeling phase, historical train movement data is used to develop predictive models, with KF handling state-space representation and GCN-LSTM capturing spatial and temporal dependencies. These models are ensembled to enhance prediction accuracy. The schedule generation phase estimates travel times using the ensembled model, the dynamic updating phase refines predictions using real-time data, while congestion is assessed by clustering congested areas with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and propagating these clusters through KF. The proposed model is compared with different state-of-art predictive models. The methodology’s effectiveness was validated using real-world data from Indian Railway freight operations. The proposed model demonstrated superior accuracy, with Mean Absolute Percentage Error of 19.51%, while the moving average-based model which was previously being used by the Indian Railway had an error of 44.34%. This approach, implemented as a decision support system for Indian Railways’ daily operations, provides advanced planning solutions to manage the growing complexities of rail freight logistics effectively.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104201"},"PeriodicalIF":8.3,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166449","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":"Instant food on your table: The role of logistics service quality dimensions in the adoption of instant online food delivery services","authors":"Aditya Kumar Sahu ,&nbsp;Mohd Ziyauddin Khan ,&nbsp;Piyush Gupta","doi":"10.1016/j.tre.2025.104205","DOIUrl":"10.1016/j.tre.2025.104205","url":null,"abstract":"<div><div>The online food-ordering service industry experienced substantial growth due to the COVID-19 pandemic. Several online food delivery service (OFDS) providers enhanced their logistical capabilities and introduced instant<!--> <!-->delivery choices (Instant OFDS)<!--> <!-->to improve customer experiences. However, research concerning the logistical factors that influence customers’ adoption of Instant OFDS is scarce. Therefore, a sequential mixed-methodology approach was used to investigate the impact of various logistics service quality (LSQ) factors on the adoption of Instant OFDS. A qualitative study (Study 1) was conducted with 22 customers who had utilised Instant OFDS, the aim of which was to determine the primary LSQ factors that facilitate or impede the adoption of Instant OFDS. The qualitative analysis revealed that the prominent factors driving the adoption of Instant OFDS included timeliness, order discrepancy handling, and personnel contact quality. In contrast, the elements that discouraged customers included order condition, order release quantity, and order accuracy. These LSQ factors were further investigated to thoroughly comprehend the decision-making process that customers go through when selecting Instant OFDS via a quantitative investigation (Study II) employing behavioural reasoning theory (BRT) based on data from 407 customers. The BRT model, which consists of process beliefs, reasons for and against adopting Instant OFDS (LSQ factors), and attitude and intention towards adopting Instant OFDS, was tested using structural equation modelling. The moderating effects of price consciousness were also examined on the relationships between these variables. The results of the hypotheses testing indicated that customers’ process beliefs played a crucial role in influencing their reasoning (both in favour and against) and attitude towards adopting Instant OFDS. Whereas ‘reasons for’ factors influenced the customers’ intention, ‘reasons against’ factors did not influence attitude or intention. Moreover, no moderating effect of price consciousness was found on any of these relationships. The findings of this study highlight several key insights regarding the adoption of instant delivery choices. Thus, the present study provides significant contributions to the literature and practical implications for managers working in the OFDS sector.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104205"},"PeriodicalIF":8.3,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166527","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":"Flight scheduling and pricing with high-speed rail coopetition and delay uncertainty","authors":"Enoch Lee ,&nbsp;Yue Huai ,&nbsp;Hong K. Lo ,&nbsp;Anming Zhang","doi":"10.1016/j.tre.2025.104219","DOIUrl":"10.1016/j.tre.2025.104219","url":null,"abstract":"<div><div>This paper explores flight scheduling and pricing strategies for airlines under coopetition with high-speed rail (HSR) in intercity travel markets, considering the impact of potential delays and missed connections on passenger choices. A stochastic user equilibrium model is developed to account for the passenger route choices under travel time variability, security control delays, and competition with HSR and other airlines. The model investigates coopetition between airlines and HSR operators to enhance profitability. Additionally, to address the capacity constraint, the model incorporates overbooking costs, accounting for passenger no-shows, the probability of exceeding flight capacity, and compensation costs by the operator. The proposed solution method employs decomposition, a variable neighborhood search method, and linearization techniques to address probabilistic terms and equilibrium conditions. A numerical case study focusing on the Europe-China market, considering demand from both long-haul and short-haul travel, evaluates the impact of changes in HSR travel times and fares on passenger choices. Our results show that reduced HSR travel times shift passenger demand away from flights and lead flight operators to terminate some short-haul services, while increased HSR fares boost flight demand, particularly on long-haul routes. The study further illustrates the policy of reducing flights in response to a more severe competition due to shorter flight transit time. The optimal pricing strategy produces similar fares for the connecting itinerary through a local transfer hub and direct itinerary to the transfer hub.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104219"},"PeriodicalIF":8.3,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147278","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 three-stage matheuristic for the blood stochastic inventory routing problem","authors":"Vincent F. Yu ,&nbsp;Nabila Yuraisyah Salsabila ,&nbsp;Aldy Gunawan ,&nbsp;Nurhadi Siswanto","doi":"10.1016/j.tre.2025.104143","DOIUrl":"10.1016/j.tre.2025.104143","url":null,"abstract":"<div><div>This research introduces a blood distribution system under vendor-managed inventory that considers uncertain supply and demand. We present it as the Blood Stochastic Inventory Routing Problem, formulating it as a two-stage stochastic programming model. To solve this problem, this study proposes a three-stage matheuristic that combines a perturbation heuristic, Adaptive Large Neighborhood Search, and an exact approach. From historical data of Surabaya Blood Center in Indonesia, six sets of new instances are generated under different settings. Computational results show that our proposed three-stage matheuristic outperforms CPLEX and a two-stage matheuristic by gaining optimal or better solutions within a significantly shorter computational time. Moreover, it is robust for solving large problems, as evidenced by its ability to find high-quality solutions within a reasonable time. Finally, managerial insights are derived by evaluating performance matrices under different uncertainty levels and scenarios. According to these insights, some practical strategies are suggested with respect to the decision-maker’s risk preferences and demand characteristics.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104143"},"PeriodicalIF":8.3,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144146707","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":"Gig work: A bibliometric systematic literature review and content analysis","authors":"Sihui Li ,&nbsp;Lanxia Zhang ,&nbsp;Shoufeng Hu ,&nbsp;Fu Jia ,&nbsp;Xiaolan Fu","doi":"10.1016/j.tre.2025.104216","DOIUrl":"10.1016/j.tre.2025.104216","url":null,"abstract":"<div><div>The internet has entered the 3.0 era, significantly boosting the development of the gig economy. Gig work, as a flexible form of employment, is increasingly recognized as a vital component of the modern economy. However, research on the gig economy remains in its early stages, highlighting the need for a comprehensive conceptual framework to define the boundaries of this field and to identify potential future research directions. This study utilizes a bibliometric systematic literature review (B-SLR) method to systematically examine 145 papers related to gig work, conducting a detailed content analysis of 88 selected studies out of the 145 papers. It outlines the current state and evolutionary trajectory of gig work research, identifying five key themes: what is gig work, the drivers and challenges of gig work, predominant research methods, the well-being of gig workers, and platform management and algorithms. Additionally, five future research directions are proposed. This study provides a clear roadmap for the advancement of the gig work field and serves as a valuable reference for scholars employing the B-SLR research method. Overall, our article offers a comprehensive overview of the development of the gig economy, synthesizing key themes from current research and proposing potential future directions based on rigorous scientific methods.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104216"},"PeriodicalIF":8.3,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138473","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":"Large language model-enhanced reinforcement learning for generic bus holding control strategies","authors":"Jiajie Yu,&nbsp;Yuhong Wang,&nbsp;Wei Ma","doi":"10.1016/j.tre.2025.104142","DOIUrl":"10.1016/j.tre.2025.104142","url":null,"abstract":"<div><div>Bus holding control is a widely-adopted strategy for maintaining stability and improving the operational efficiency of bus systems. Traditional model-based methods often face challenges with the low accuracy of bus state prediction and passenger demand estimation. In contrast, Reinforcement Learning (RL), as a data-driven approach, has demonstrated great potential in formulating bus holding strategies. RL determines the optimal control strategies in order to maximize the cumulative reward, which reflects the overall control goals. However, translating sparse and delayed control goals in real-world tasks into dense and real-time rewards for RL is challenging, normally requiring extensive manual trial-and-error. In view of this, this study introduces an automatic reward generation paradigm by leveraging the in-context learning and reasoning capabilities of Large Language Models (LLMs). This new paradigm, termed the LLM-enhanced RL, comprises several LLM-based modules: reward initializer, reward modifier, performance analyzer, and reward refiner. These modules cooperate to initialize and iteratively improve the reward function according to the feedback from training and test results for the specified RL-based task. Ineffective reward functions generated by the LLM are filtered out to ensure the stable evolution of the RL agents’ performance over iterations. To evaluate the feasibility of the proposed LLM-enhanced RL paradigm, it is applied to extensive bus holding control scenarios that vary in the number of bus lines, stops, and passenger demand. The results demonstrate the superiority, generalization capability, and robustness of the proposed paradigm compared to vanilla RL strategies, the LLM-based controller, physics-based feedback controllers, and optimization-based controllers. This study sheds light on the great potential of utilizing LLMs in various smart mobility applications.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"200 ","pages":"Article 104142"},"PeriodicalIF":8.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135096","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}