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

{"title":"Activity capacity-based urban shrinkage trend prediction model and response strategy comparison approach","authors":"Tong Zhang ,&nbsp;Dawei Li ,&nbsp;Yuchen Song ,&nbsp;Junyi Zhang ,&nbsp;Junyan Yang ,&nbsp;Yi Shi","doi":"10.1016/j.tre.2024.103929","DOIUrl":"10.1016/j.tre.2024.103929","url":null,"abstract":"<div><div>Many countries are facing escalating urban shrinkage, with vast swathes of urban areas becoming desolate. Urban managers urgently need strategies to mitigate land and infrastructure wastage. Although many studies have developed trend prediction models based on single-source data, these models cannot analyze the causes, evolution, and impacts of urban shrinkage using multiple data sources and residents’ behavioral insights. Urban shrinkage significantly affects activity and travel flows, if future trends in these flows can be predicted, urban managers can identify facilities likely to experience reduced flow and develop targeted responses. Traffic network capacity is instrumental in assessing the ability to accommodate travel flow, but the origin–destination (O-D) demand-oriented approach falls short in capturing the nuances of travel times, modes, and purposes from a travel motivation standpoint. It also fails to provide demand information related to activities, such as activity locations, activity times, and activity sequences. This paper introduces a novel concept: activity capacity, which provides two key pieces of information: <em>(1) the maximum activity flows an activity-travel network can accommodate under shrinkage</em>; <em>(2) the corresponding distribution of activity and travel flows</em>. We establish a bi-level programming model. The upper level, the Urban Shrinkage-oriented Activity Capacity (USAC) model, seeks to maximize activity demand within the constraints of land use, urn shrinkage, and activity demand structure. The lower level, an Activity Capacity-oriented Activity-Travel Assignment (AC-ATA) model, particularly accounts for online-activity utility and travelers’ perceptual errors regarding activity node flows. A tailored Sensitivity Analysis-Based (SAB) method is employed to solve the USAC problem. Numerical examples demonstrate the USAC model’s effectiveness in predicting activity capacity and flow distributions under urban shrinkage and in evaluating response strategies, providing planners with critical and valuable insights. Additionally, the model’s sensitivity to parameters related to online activity, land use constraints, and travel costs is analyzed.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103929"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887944","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":"Total fulfillment management: principles, practices and use cases","authors":"Eric Ka Ho Leung","doi":"10.1016/j.tre.2024.103888","DOIUrl":"10.1016/j.tre.2024.103888","url":null,"abstract":"<div><div>This study presents a novel framework called Total Fulfillment Management (TFM), which integrates inbound warehousing and outbound transportation operations into a unified system. TFM draws inspiration from the time-tested philosophies of Total Quality Management and Just-In-Time production, adapting these principles to the modern logistics context. This paper introduces the Fulfillment Synchronization Strategy (FSS) as the operational core of TFM, designed to optimize internal and external resources and improve operational efficiency through real-time data-driven, synchronized decision-making. Within the FSS, a total of nine synchronization practices are defined. Through the integration of emerging technologies like AI, machine learning, IoT, and blockchain, TFM offers a holistic system approach for businesses seeking to enhance their fulfillment operations. Key research avenues and use cases highlight the potential impact of TFM on the evolving logistics landscape.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103888"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918067","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":"What does intelligentization bring? A perspective from the impact of mental workload on operational risk","authors":"Sihua Chen ,&nbsp;Xiang Wen ,&nbsp;Shengpan Ke ,&nbsp;Qingmiao Ni ,&nbsp;Ruicheng Xu ,&nbsp;Wei He","doi":"10.1016/j.tre.2024.103944","DOIUrl":"10.1016/j.tre.2024.103944","url":null,"abstract":"<div><div>Artificial intelligence is becoming the new foundation of companies’ business operations. The nature of “technical staff” work is changing as a result of artificial intelligence, affecting their mental workload. According to multiple resource theory, both mental underload and overload might result in operational mishaps. We recruited high-speed rail (HSR) drivers from the transportation industry and stock traders from the financial industry to conduct experiments to verify the relationship between mental workload and operational risk under varying levels of intelligentization. The findings indicate that mental workload has a detrimental impact on operational risk. However, beyond a certain threshold, it has the reverse effect on operational risk. That is, there is a U-shaped relationship between mental workload and operational risk. Furthermore, intelligentization makes the U-shaped curve steeper, enhancing the impact of mental workload on operational risk. To investigate the influence of mental workload on operational risk at various levels of intelligentization, we created a simulation program using the simulink tool. The simulation results confirm the empirical study, revealing that the U-shaped operating risk curve is driven by HSR drivers’ distraction and stress, fatigue has little effect on operational risk. We found that under non-emergency conditions, HSR drivers with higher levels of intelligentization experience a lower mental workload compared to those operating less intelligent trains. However, in emergency situations, although the former’s mental workload is greater than the latter’s, the instantaneous change in mental workload is significantly larger. As a result, under emergency conditions, HSR drivers with higher levels of intelligentization face greater operational risk. The conclusions of this paper have multiple managerial implications for transportation companies.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103944"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918068","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":"Hedging demand uncertainty in a two-echelon supply chain: Advanced purchase discount or transshipment or both?","authors":"Nannan Wang ,&nbsp;Chinnatat Methapatara ,&nbsp;Tieming Liu ,&nbsp;Ming Jian","doi":"10.1016/j.tre.2024.103947","DOIUrl":"10.1016/j.tre.2024.103947","url":null,"abstract":"<div><div>Advanced Purchase Discount (APD) and transshipment are two popular strategies to hedge against demand uncertainties in supply chains. However, so far there are no theoretical guidelines on which strategy should be selected under what situations. Moreover, fewer scholars investigate the joint impacts when both strategies are adopted in the same supply chain. This paper examines the interaction between two strategies in a two-echelon supply chain with one manufacturer and two independent retailers. In addition, we design a joint contract, under which the manufacturer signs an advance-purchase discount contract with the two retailers and facilitates the transshipment between them when one faces stock out while the other has a surplus. Our analysis shows that APD and transshipment are complementary to each other to some extent. While the retailers always prefer the joint contract due to its high flexibility, the manufacturer achieves the highest profit if only APD is applied. However, APD itself is not an equilibrium policy unless the manufacturer can prevent the retailers from making transshipment themselves. Otherwise, there exists a zone of Pareto improvements where it is more beneficial for the manufacturer to facilitate transshipment and generate higher profits rather than opting out of it. The zone is based on the retailer’s price margin and the overall supply chain’s margin ratios. Outside the zone, the manufacturer would not participate in transshipment even if it cannot be prevented. This gives another reason, besides its complexity, why the joint contract is not implemented as commonly as APD or transshipment in practice.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103947"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155751","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":"Column generation for scheduling mobile composite robots in warehouses","authors":"Zheng Zhao,&nbsp;Junkai Cheng,&nbsp;Jianyi Zhao,&nbsp;Lu Zhen","doi":"10.1016/j.tre.2024.103956","DOIUrl":"10.1016/j.tre.2024.103956","url":null,"abstract":"<div><div>As the e-commerce industry ascends, the strain on warehouse operation to manage order processing has intensified significantly. This paper pioneers the integration of mobile composite robot (MCR) for order assigning and path planning in warehouse. A mathematical model is established with the objective function of minimizing the time to complete orders. An algorithm based on column generation is developed, with dynamic programming and other acceleration strategies applied to improve the efficiency of the pricing problem. Numerical experiments show that the algorithm’s performance matches that of CPLEX in small-scale instances and exhibits the capacity to handle 50 orders in just 5 min. Additional experiments are conducted to substantiate the efficiency of our proposed algorithm and to offer valuable managerial insights to practitioners who are implementing MCR technology in warehouse environments.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103956"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918087","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 value of Augmented Reality on platform-based supply chains: Impact of Accuracy Effect and Entertainment Effect","authors":"Qiang Zhou ,&nbsp;Xiaolong Guo ,&nbsp;Can Sun","doi":"10.1016/j.tre.2024.103953","DOIUrl":"10.1016/j.tre.2024.103953","url":null,"abstract":"<div><div>Augmented Reality (AR) has been increasingly applied in e-commerce to facilitate consumer purchasing. This paper characterizes and models two features of AR: the Accuracy Effect and Entertainment Effect. The former refers to AR mitigating consumer valuation bias, while the latter refers to the psychological entertainment consumers obtain when using AR to facilitate their purchasing. Although AR mitigates consumer valuation bias (Accuracy Effect), AR may also reduce the consumers’ prior valuation of products. In addition, despite AR increasing the consumers’ willingness to pay (through the Entertainment Effect), it exacerbates the bias between the products’ true value and the value perceived by consumers. This research investigates the question that whether the platform should adopt AR, and clarifies AR’s value to the platform, consumers, and integrated supply chain. First, we find that AR does not necessarily benefit the platform, while it can favor the platform only if the Accuracy Effect is large and the Entertainment Effect is small. Second, a large Entertainment Effect always hurts consumers. However, the impact of the Accuracy Effect on consumers is ambiguous and differentiated by a threshold influenced by the Entertainment Effect, where a larger Entertainment Effect narrows the range in which the Accuracy Effect favors consumers. Third, the integrated supply chain performance can be enhanced by adopting AR because the manufacturer can benefit from a larger Entertainment Effect while the platform can be more profitable with a larger Accuracy Effect. In extensions, we particularly find that product publicity can make AR more likely to favor the platform only when the publicity effectiveness reaches a certain level, and consumer return cost can be a driving force for the platform to adopt AR.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103953"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939701","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":"Cargo selection, route planning, and speed optimization in tramp shipping under carbon intensity indicator (CII) regulations","authors":"Liangqi Cheng,&nbsp;Lerong Xu,&nbsp;Xiwen Bai","doi":"10.1016/j.tre.2024.103948","DOIUrl":"10.1016/j.tre.2024.103948","url":null,"abstract":"<div><div>To mitigate the significant environmental impacts of the shipping industry, the International Maritime Organization (IMO) introduced the Carbon Intensity Indicator (CII), which measures CO2 emissions per unit of cargo-carrying capacity and distance traveled. While the implementation of energy-efficient technologies is crucial for meeting CII regulations, these advancements often entail substantial investment costs. Consequently, optimizing operations has become a more practical short-term approach; however, operational adjustments made solely to comply with CII regulations may also have unintended adverse effects. To address this issue, this research develops a pick up and delivery optimization model for tramp ships, which operate on irregular schedules and routes, to minimize total emissions and costs while complying with CII regulations. The model investigates the combination of cargo selection, route planning, and speed optimization, reflecting the comprehensive and unique characteristics of tramp shipping. The problem is solved using Danzig-Wolfe decomposition and a branch-and-price algorithm, with the CII regulations being met in the pricing problem through a customized heuristic. Numerical results demonstrate that the proposed approach can find optimal or near-optimal solutions within a short time. Various experiments explore the effects of CII regulations on tramp shipping operations, environmental performances, and economic benefits. The results indicate that demand-based CII and stricter CII regulations cause ships to carry fewer cargoes, sail shorter ballast distances, reduce speed, and increase load on board. This ultimately reduces CO2 emissions but also lowers total profits. The findings assist industry stakeholders in complying with stringent environmental regulations and aid policymakers in designing targeted regulatory policies, thereby promoting sustainable maritime transport.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103948"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939702","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":"Heterogeneous vessel fleet co-management for liner alliances under profit-sharing agreement and weekly-dependent demand","authors":"Yadong Wang ,&nbsp;Huming Zhang ,&nbsp;Tingsong Wang ,&nbsp;Jinping Liu","doi":"10.1016/j.tre.2024.103880","DOIUrl":"10.1016/j.tre.2024.103880","url":null,"abstract":"<div><div>As the oversupply of shipping capacity and the competition within the shipping industry intensifies, liner alliances have emerged as the prevailing mode of cooperation. The members in a liner alliance often have different shipping resources, indicating that they have to coordinate the shipping resources with each other, in order to achieve smooth cooperation. During the coordination, the fairness of members cannot be ignored as it forms the foundation of cooperation stability. Meanwhile, the vessel fleet is often heterogeneous in practice, not homogeneous assumed in most of existing studies. Therefore, this research explores the joint optimization problem of heterogeneous vessel fleet co-management (including fleet co-deployment, vessel co-scheduling, vessel co-sequencing, slot co-chartering and slot co-allocation), taking into account profit-sharing agreement and weekly-dependent demand. In response to this problem, a mixed-integer nonlinear program is first formulated with the goal of maximizing the overall profit reached by the alliance. We then linearize this nonlinear program, and subsequently develop a solution method to identify the optimal solution for the linearized model. Various numerical tests are performed to examine the validity of the proposed model. Furthermore, several managerial insights that support the operation of liner alliance are delivered.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103880"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816524","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":"Crowd-shipping systems with public transport passengers: Operational planning","authors":"Seyed Sina Mohri ,&nbsp;Neema Nassir ,&nbsp;Russell G. Thompson ,&nbsp;Patricia Sauri Lavieri ,&nbsp;Hadi Ghaderi","doi":"10.1016/j.tre.2024.103916","DOIUrl":"10.1016/j.tre.2024.103916","url":null,"abstract":"<div><div>This study designs a crowdshipping (CS) delivery system with public transport (PT) passengers at the operational decision-making level. In this system, parcel lockers (PLs) are positioned in PT stations, through which small and light parcels are allocated to passengers for delivery to their final delivery addresses (i.e., performing the last-mile delivery). A probabilistic mathematical model is formulated with behavioural constraints to estimate the probabilities of accepting CS tasks by passengers. The probability is estimated based on a logit function, sensitive to the parcel’s weight, reimbursement amount, and the walking detour required to deliver the parcel to its final destination. The logit model is constructed based on survey data collected from the Greater Sydney (GS) area, Australia. The mathematical model optimises the allocation of delivery tasks to the CS system and PLs, subsequently, incentivising CS-allocated tasks for participating passengers. Furthermore, the model performs the routing of vehicles to deliver non-allocated parcels, including heavy parcels. A heuristic solution algorithm is then proposed to optimise decisions related to allocation, routing, and incentivisation, which was tested on a real case study. By conducting sensitivity analysis on various model parameters, results show that for a small carrier, utilising a PT-based CS system could minimise daily delivery costs by up to 36%, depending on passengers’ rate of familiarity with the CS initiative and the number of PT stations equipped with PLs. Vehicle delivery cost in the CS-integrated delivery system is also reduced between 50% and 65%, in comparison to the conventional vehicle-only system. Our study reveals that a CS system should offer higher incentives at the beginning, and as CS familiarity grows, figures could be reduced depending on other market and operational conditions. Furthermore, simulated experiments suggest that denser PL networks enable carriers to reduce incentives even at earlier stages with lower familiarity rates.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103916"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816527","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":"Green design and information sharing in a horizontally competitive supply chain","authors":"Mengfan Li ,&nbsp;Zhaofu Hong ,&nbsp;Xiaolong Guo ,&nbsp;Yugang Yu","doi":"10.1016/j.tre.2024.103858","DOIUrl":"10.1016/j.tre.2024.103858","url":null,"abstract":"<div><div>This study explores the impact of information sharing on green supply chains with horizontal competition, addressing an important yet underexplored issue. Using a Stackelberg game framework, we examine green product design and information-sharing dynamics in a supply chain consisting of a common retailer and two competing manufacturers. The retailer decides whether to share green demand information with manufacturers, who then determine product greenness, while the retailer sets the retail price. The findings reveal that information sharing can have mixed effects on manufacturers’ profitability, depending on competitive dynamics and demand sensitivity to product greenness. Additionally, the interplay between information sharing and green design strategies emphasizes the importance of aligning product design decisions with optimal information-sharing practices. While information sharing consistently improves environmental performance in non-competitive settings, it can lead to negative environmental outcomes in competitive scenarios. Extending the analysis to cases where manufacturers control wholesale pricing and information is shared sequentially, the findings remain robust. This study highlights the dual role of information sharing as a driver of supply chain efficiency and a potential source of environmental inefficiencies in competitive markets. The results offer actionable insights for crafting green supply chain strategies that balance economic and environmental objectives.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103858"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788832","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}