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The interaction between manufacturer’s showroom deployment and online selling formats Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-14 Yan Chen, Tao Zhang, Gang Li, Wei Wang
Many manufacturers selling through online retail platforms are deploying physical showrooms to facilitate consumers’ learning about their products. To uncover the effects of the manufacturer-deployed showrooms on participants in a platform-based distribution channel, we establish a game-theoretic model wherein a manufacturer sells through an online retailer under either agency selling or wholesale
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Manufacturers’ efforts and platform’s demand information sharing in eco-friendly actions Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-13 Xiaogang Lin, Ying-Ju Chen, Hui Xiong
More and more consumers have an awareness of environmental protection, and platforms and manufacturers invest in eco-friendly operating and manufacturing to stimulate demand and fulfill their social responsibilities. Our paper investigates whether the platform should share her private demand information with two manufacturers in the reselling or agency selling. The manufacturers offer consumers two
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Parking policy design for managing morning commute with dedicated autonomous vehicle lane Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-13 Li-Jun Tian, Zhe-Yi Tang, Peng Liu, Hai-Jun Huang
The advent of autonomous vehicles (AVs) with self-parking capability puts forward new requirements for parking policy and management. In a transportation system with both general and dedicated AV lanes, this work aims to examine and compare the effectiveness of different parking policies on the morning commute. To be specific, three policies of parking space allocation, namely, first-come-first-service
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A bi-level approach for optimal vehicle relocating in Mobility-On-Demand systems with approximate dynamic programming and coverage control Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-12 Yunping Huang, Pengbo Zhu, Renxin Zhong, Nikolas Geroliminis
For Mobility-on-Demand systems, the imbalance between vehicle supply and demand is a long-standing challenge, leading to losses of orders and long waiting times. Relocating idle vehicles to high-demand regions can enhance system efficiency, thus improving the quality of service. Enforcing vehicle relocation via either link-node or grid-based representation makes it hard to capture the interrelated
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Generative AI usage and sustainable supply chain performance: A practice-based view Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-11 Lixu Li, Wenwen Zhu, Lujie Chen, Yaoqi Liu
The emergence of generative AI presents numerous potential solutions to address challenges in sustainable supply chain management (SCM). However, not all firms can effectively master the methods of using generative AI and realize potential benefits. To address this dilemma, we adopt a practice-based view (PBV) to examine generative AI usage’s effect on sustainable supply chain performance (SSCP). Analyzing
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Enabling net-zero shipping: An expert review-based agenda for emerging techno-economic and policy research Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-11 Kannan Govindan, Rubal Dua, AHM Mehbub Anwar, Prateek Bansal
The topic of net-zero shipping is emerging as a global priority. Given the projected increase in the shipping sector’s contributions to climate change, understanding the emerging research challenges for enabling net-zero shipping is critical. We address this research need by outlining key techno-economic and policy research priorities for achieving effective and equitable net-zero shipping. We use
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Improved ADMM-based approach for optimizing intercity express transportation networks: A novel dual decomposition strategy with partial retention of coupling constraints Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-10 Jushang Chi, Shiwei He, Yongxiang Zhang
The rapid expansion of express delivery volume necessitates the development of logistics centers and the optimization of parcel transportation routes between cities within an extensive express transportation network. This study addresses the intercity express transportation network optimization problem (IETNP), which integrates the hub location problem with the multi-commodity flow problem. An integer
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Freight train line planning for large-scale high-speed rail network: An integer Benders decomposition-based branch-and-cut algorithm Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-10 Shengdong Li, Dajie Zuo, Wenqing Li, Yongxiang Zhang, Li Shi
This paper aims to study and address the problem of completely re-scheduling high-speed freight train line plans under the conditions of a large-scale network, particularly for direct freight trains between central network nodes. First, we constructed a line pool of candidate trains. Then, considering constraints such as flow balance, station capacity, and train transport capacity, we formulated an
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The Share-a-Ride Problem with mixed ride-hailing and logistic vehicles Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-09 Wen Ji, Shenglin Liu, Ke Han, Yanfeng Li, Tao Liu
An extension of the Share-a-Ride Problem is proposed, which explores the coordination of ride-hailing vehicles (RVs) and logistic vehicles (LVs) for integrated passenger and parcel service. The goal is to investigate the extent to which RVs can increase profits and logistic companies can reduce operational costs, via information sharing and vehicle coordination. A new optimization problem, termed the
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Investigating the influence of herd effect on the logit stochastic user equilibrium problem Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-09 Bojian Zhou, Shihao Li, Min Xu, Hongbo Ye
In traditional traffic equilibrium models, travelers typically rely on link flow information to estimate link/route costs. However, an often-overlooked aspect in prior research is that travelers can easily acquire information about the route choices of other travelers within the same OD pair. The presentation of route flow information, combined with the influence of travelers’ herd behavior, results
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Characteristics and bottlenecks of sea-rail combined transportation system between South Korea and China Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-08 Paul Tae-Woo Lee, Zhao-Yu Song, Sung-Ho Shin, Ming K. Lim, Yong Wong Kim, Chaozhe Jiang
South Korea, an island-like nation divided by the demilitarized zone within the Korean Peninsula, facilitates cargo transportation for Central Asia through a sea-rail combined transportation system (SRTS) between Korea, China, and Russia. This system effectively utilizes the China Railway Express and the -Siberian railway. The objectives of this research are three-fold: first, to scrutinize the research
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Making better order fulfillment in multi-tote storage and retrieval autonomous mobile robot systems Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-05 Zhizhen Qin, Yuexin Kang, Peng Yang
The multi-tote storage and retrieval (MTSR) autonomous mobile robot (AMR) systems are increasingly prominent in e-commerce and third-party logistics. These systems feature robots capable of handling multiple totes per tour. The operational decisions of order fulfillment in MTSR AMR systems include assigning and sequencing orders and totes at various workstations and scheduling robots. The intricate
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A math-heuristic and exact algorithm for first-mile ridesharing problem with passenger service quality preferences Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-05 Ping He, Jian Gang Jin, Martin Trépanier, Frederik Schulte
With the growing demand for high-quality mobility services, transportation service providers need to offer transit services that not only fulfill passengers’ basic travel needs but also ensure an appealing quality of service. During rush hours, fleet sizes are often insufficient to cater to all passenger preferences on service quality, such as ride time and number of co-riders, leading to the sacrifice
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Heterogeneous graph social pooling for interaction-aware vehicle trajectory prediction Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-04 Xiaoyu Mo, Yang Xing, Chen Lv
Predicting the trajectories of neighboring vehicles is vital for self-driving cars in intricate real-world driving. The challenge lies in accounting for diverse influences on a vehicle’s movement, travel needs, neighboring vehicles, and a local map. To address these factors comprehensively, we have developed a framework with a Heterogeneous Graph Social (HGS) pooling approach. The framework represents
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Assessment of equilibrium accessibility for import/export containers in hub-and-spoke transport network: Impact of international land-sea trade corridor Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-04 Dongxu Chen, Feng Lian, Zhongzhen Yang
In Asia, the international land-sea trade corridor (ILSTC) is undergoing significant expansion, notably through the China Railway Express (CR-Express) and the export tax rebate at the departure port with Port of Yangpu as gateway. This expansion plays a pivotal role in shaping the accessibility for import/export containers in the hub-and-spoke transport network (A-IEC-HSTN). This paper delves into
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A choice-driven service network design and pricing including heterogeneous behaviors Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-04 Adrien Nicolet, Bilge Atasoy
The design and pricing of services are two of the most important decisions faced by any intermodal transport operator. The key success factor lies in the ability to meet the needs of the shippers. Therefore, making full use of the available information about the demand helps to come up with good design and pricing decisions. With this in mind, we propose a Choice-Driven approach, incorporating advanced
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Joint optimization of order picking and delivery in ergonomic picking systems with due dates for sustainability and resilience Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-04 Zhong-Zhong Jiang, Jinlong Zhao, Minghe Sun
E-commerce platforms, driven by consumer demand for same-day or even half-day delivery, face challenges such as high order volumes with varying due dates, multiple picking stations, and multiple delivery regions. These challenges may lead to order tardiness and decreased efficiency and responsiveness of warehouse logistics. This study jointly optimizes order picking and delivery in ergonomic picking
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An efficient parking-sharing program through owner cooperation with robust slot assignment and incentive revenue distribution Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-04 Hongke Xie, Pengyu Yan, Mingyan Bai, Zhibin Chen
This article introduces an mechanism for parking-sharing programs, which assigns private parking slot owners to use other owners’ parking slots within a community and compensates them in the meanwhile. This mechanism extends the availability of some shared slots for external drivers. To ensure practicality, this study addresses two crucial issues: (i) robust assignment of parking slots to mitigate
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Dynamic resilience analysis of the liner shipping network: From structure to cooperative mechanism Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-03 Bo Lu, Yue Sun, Huipo Wang, Jian-Jun Wang, Samuel Shuai Liu, T.C.E. Cheng
Liner shipping networks play a vital role in global and regional trade. However, they are susceptible to damage from unexpected interruptions, which can trigger dynamic cascading failures and undermine the system’s resilience. To address this challenge, we propose a novel cascading failure model for liner shipping networks that considers the characteristics of the network structure and port functions
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Optimal advertising structure in the presence of a platform owner’s entry Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-03 Xiangxiang Wu, Yong Zha
As consumer demand for mobile electronic items (e.g., mobile phones, tablets, or wearables) rises, advertising competition among electronics manufacturers becomes more intense. Moreover, platform owners that offer platforms for electronics manufacturers may use private labels to enter the manufacturers’ market, which further prompts the manufacturers to advertise in response to platform entry. We study
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Smart port vs. port integration to mitigate congestion: ESG performance and data validation Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-02 Baozhuang Niu, Jian Dong, Hongzhi Wang
In practice, ports compete on both service volume and service quality. The latter can be measured by the port congestion situation so the mitigation of congestion helps improve customers’ experience. We observe that smart ports are widely built and many local governments are promoting port integration to ease competition and reduce congestion. One immediate question is: Are the two strategies really
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Profit or prestige? Strategies for luxury brands to navigate the second-hand market using blockchain technology Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-09-01 Umang Varshney, Amit Karamchandani, Tanmoy Kundu, Rohit Kapoor
Luxury brands are increasingly adopting blockchain technology to combat counterfeiting, yet they face a dilemma in addressing the market of second-hand luxury products. While a luxury brand’s involvement in second-hand sales could diminish its exclusivity, it could also increase the brand’s profits. Motivated by luxury brands’ concerns about venturing into the second-hand market while preserving their
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Capacity planning in logistics corridors: Deep reinforcement learning for the dynamic stochastic temporal bin packing problem Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-31 Amirreza Farahani, Laura Genga, Albert H. Schrotenboer, Remco Dijkman
This paper addresses the challenge of managing uncertainty in the daily capacity planning of a terminal in a corridor-based logistics system. Corridor-based logistics systems facilitate the exchange of freight between two distinct regions, usually involving industrial and logistics clusters. In this context, we introduce the dynamic stochastic temporal bin packing problem. It models the assignment
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From operational to strategic modelling: A continuous multi-scale approach for last-mile analysis Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-31 Rafael Arevalo-Ascanio, Annelies De Meyer, Roel Gevaers, Ruben Guisson, Wouter Dewulf
Supply chain planning requires decision-making at all levels, especially in the new normal of intervened supply networks. The integration of strategic network design and operational routing decisions has been widely studied in the literature as the location-routing problem (LRP). However, the LRP does not consider the differences in the planning horizon of each sub-problem, nor have geospatial elements
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A near real-time carbon accounting framework for the decarbonization of maritime transport Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-29 Zhijun Li, Jiangang Fei, Yuquan Du, Kok-Leong Ong, Sobhan Arisian
The recently proposed marine greenhouse gas (GHG) emission pricing mechanism has pressured shipping companies and regulators to adopt effective methods for the real-time monitoring of carbon emissions. This study proposes a Near Real-Time (NRT) carbon accounting framework that leverages machine learning models to enable carbon emission tracking at a 15-minute time interval. The framework incorporates
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Enhancing airline connectivity: An optimisation approach for flight scheduling in multi-hub networks with bank structures Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-29 Huijuan Yang, Daniel Delahaye, John Frankie O’Connell, Meilong Le
While one salient characteristic of hub airports lies in connecting passengers, the full-service airlines in North America concentrate their networks spatially over a number of hubs. Having witnessed the emerging multi-hub network, this paper investigated the flight scheduling problem under a multi-hub configuration, taking a well-defined bank structure and airport operational restrictions into account
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A sequential transit network design algorithm with optimal learning under correlated beliefs Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-29 Gyugeun Yoon, Joseph Y.J. Chow
Mobility service route design requires demand information to operate in a service region. Transit planners and operators can access various data sources including household travel survey data and mobile device location logs. However, when implementing a mobility system with emerging technologies, estimating demand becomes harder because of limited data resulting in uncertainty. This study proposes
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Modelling connected and autonomous bus on dynamics of mixed traffic in partially connected and automated traffic environment Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-28 Xin Li, Tianqi Wang, Weihan Xu, Huaiyue Li, Yun Yuan
Since connected and autonomous buses (CABs) have great potential of being operated in partially connected environment and raise great impact on mixed traffic flow, this study develops an analytical model for modeling system dynamics of mixing connected and autonomous vehicles (CAV), human-driven vehicles (HV), and CABs in both cases of dedicated bus lane and non-dedicated bus lane, in which the impact
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Single rollover or dual rollover: How a monopoly NEV manufacturer responds to NEV credit policy Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-27 Jiayu Zhou, Yina Li, Fei Ye, Xiande Zhao, Yang Tong, Hangfei Guo
The NEV credit policy plays a crucial role in advancing the new energy vehicle (NEV) industry and environmental conservation. This study investigates the monopoly NEV manufacturer’s optimal rollover strategy (Single Rollover (SR) vs. Dual Rollover (DR)) and pricing scheme (skimming vs. penetration) under the government’s stricter calculation criteria for NEV credit policy, considering a two-period
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Competing buyers’ investment and ordering strategies under supply disruption Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-24 Mengchu Wu, Jing Chen, Weili Xue, Xi Liu
Supply chain disruptions can be costly and disruptive, and reducing supplier uncertainty through investments can be an effective strategy for mitigating these risks. In this study, we explore ordering and investment strategies in a downstream competitive environment, considering supply uncertainty. We consider two buyers ordering from a single supplier and competing in a Cournot market. Buyers must
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Admission, discharge, and transfer control in patient flow logistics: Overview and future research Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-24 Hamed Zamani, Fereshteh Parvaresh, Navid Izady, Reza Zanjirani Farahani
Patient flow logistics involves managing and coordinating the movement of patients within a healthcare system. It aims to optimize the patients’ flow from their arrival to discharge or transfer, ensuring efficient and effective use of resources while minimizing delays and bottlenecks. Key components of patient flow logistics include capacity planning, resource allocation, appointment scheduling, and
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Equilibrium anti-counterfeiting strategies with deceptive counterfeits: Proactive, reactive, or instantaneous? Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-24 Junsong Bian, Suzhen Liang, Yunchuan Liu, Xuan Zhao
This papers studies anti-counterfeiting strategies with deceptive counterfeits. We develop a model to study the interactive anti-counterfeiting and counterfeit hiding decisions between the genuine brand company and a deceptive counterfeiter. Facing deceptive counterfeits, the genuine brand company can choose to adopt a proactive, instantaneous, or reactive anti-counterfeit strategy. We first examine
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Communication is computation: A privacy-protecting routing protocol for Physical Internet Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-24 Shiqi Sun, Cathérine Cassan, Cathy Macharis
Logistics research has been emphasising the importance of interconnectivity for better resource utilisation and real-time response against disruptions. However, lack of trust has become a significant obstacle in the business world, blocking the way to building an open information system and, thus, more effective route-finding protocols. This paper proposes a decentralised routing protocol for multimodal
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Corrigendum to “A method of time-varying demand distribution estimation for high-speed railway networks with user equilibrium model” [Transp. Res. Part E: Logist. Transp. Rev. 189 (2024) 103679] Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-20 Tangjian Wei, Richard Batley, Ronghui Liu, Guangming Xu, Yili Tang
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A Queue-SEIAR model: Revealing the transmission mechanism of epidemics in a metro line from a meso level Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-19 Aoping Wu, Lu Hu, Dongjie Li, Juanxiu Zhu, Pan Shang
The COVID-19 pandemic has affected communities worldwide. The metro, an essential means of public transportation in many cities, is particularly vulnerable to the spread of the virus due to its limited space and complex passenger flow structure. As the basis of quick and effective management decision-making, it is very important but intractable to accurately and quickly capture the transmission mechanism
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Flexible yard crane scheduling for mixed railway and road container operations in sea-rail intermodal ports with the sharing storage yard Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-16 Wenqian Liu, Xiaoning Zhu, Li Wang, Siyu Li
The sea-rail intermodal port, serving as the “cornerstone” supporting the seamless connection of landside and quayside transportation, plays a crucial role in determining the service level of the container multimodal transport through port’s operational organization efficiency. With on-dock rails, the physical integration between railways and water transport is smoothly achieved. However, within the
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Remanufacturing in global supply chains: Self-operating or licensing? Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-15 Hongfu Huang, Fei Xu, Min Wang, Hui Yang, Taixin Li
Nowadays, globalization and decarbonization have emerged as new normals for supply chains worldwide. In this paper, we investigate remanufacturing strategies within a global supply chain, aiming to provide managerial insights through the research to assist businesses in better integrating into the new normals. Within the global supply chain, an original equipment manufacturer (OEM) located in the home
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Is green optimism good for the environment but bad for firms?—A study on green optimism in a supply chain Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-14 Jeongeun Sim, Bosung Kim
With a growing number of consumers expressing their preferences for environment-friendly products, it has become a critical agenda for businesses to address environment and sustainability issues. However, there exists a discrepancy between consumers’ stated preferences and their actual purchasing behaviors. Accordingly, firms may overestimate market demand from environmentally conscious consumers,
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Multidimensional container shipping alliance decisions among competitors: Impact of capacity constraints and market competition Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-14 Junjin Wang, Songjun Xu, Lingxiao Wu, Sihong Wu, Yanping Liu
Over the past decade, intensified competition in the global market has led to unprecedented changes in the structure of shipping alliances. To explicate the underlying motivation and extensive implications of such changes, this study utilizes a multi-player competitive game theory framework and examines two types of shipping lines based on their heterogeneous shipping capacities. The post-alliance
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Stochastic and robust truck-and-drone routing problems with deadlines: A Benders decomposition approach Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-13 Menghua Deng, Yuanbo Li, Jianpeng Ding, Yanlin Zhou, Lianming Zhang
Time-definite delivery service requires efficient and punctual delivery within specified deadlines. Enhancing the service level of delivery in last-mile logistics prompted the application of a truck-and-drone cooperative system. However, the inherent uncertainty in travel time contributes to frequent service delays. To address this challenge, our study addresses the with deadlines, aiming to minimize
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Reinforcement learning for electric vehicle charging scheduling: A systematic review Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-13 Zhonghao Zhao, Carman K.M. Lee, Xiaoyuan Yan, Haonan Wang
As climate change and environmental concerns have become increasingly pressing issues, electric vehicles (EVs) have emerged as a viable and environmentally-friendly alternative to their traditional gasoline-powered counterparts. With the growing popularity of EVs, it is widely recognized that scheduled EV charging is of vital importance in enhancing users’ satisfaction, improving the profitability
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To walk or not to walk? Designing intelligent order picking warehouses with collaborative robots Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-13 Mahmut Tutam, René De Koster
Order picking is a physically demanding, time-consuming, and costly process in most warehouses. To make the process more efficient, recently, ride-on autonomous robotic order pick trucks (collaborative robots or cobots) have been introduced, that assist the order picker. The order picker can ride on the cobot to travel large distances, but when picking, the cobot behaves as a robot and moves autonomously
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On the value of distribution tail in the valuation of travel time variability Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-13 Zhaoqi Zang, Richard Batley, Xiangdong Xu, David Z.W. Wang
Extensive empirical studies show that the long distribution tail of users’ travel time in transportation systems and the corresponding unexpected delay can have much more serious consequences than expected or moderate delay. However, the unexpected delay has received limited attention in recent studies of the valuation of travel time variability. As a complement to current valuation research, this
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When should capital-constrained swap service providers partner with battery lessors? Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-13 Xu Hu, Zhaojun Yang, Jun Sun, Yali Zhang
Battery swapping provides a quick electric vehicle (EV) replenishment solution to time-sensitive consumers. To meet the growing demand, a significant investment in establishing swap stations is needed, and fund shortage becomes a bottleneck for swap service providers. To cope with this issue, a swap service provider may partner with a battery lessor, and such a new financing strategy deserves a close
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A model for agribusiness supply chain risk management using fuzzy logic. Case study: Grain route from Ukraine to Poland Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-12 Ievgen Medvediev, Dmitriy Muzylyov, Jakub Montewka
In order to establish new logistics routes, it is necessary to address several technical and organizational issues, among others. One of the most important criteria for evaluating the performance of a supply chain is the delivery time, proactive consideration of potential hazards and associated uncertainties that may occur along the route. However, the existing solutions are often passive and reactive
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Bus fleet decarbonization under macroeconomic and technological uncertainties: A real options approach to support decision-making Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-10 Alessandro Avenali, Daniele De Santis, Mirko Giagnorio, Giorgio Matteucci
Fleet owners deal with various and critical uncertainties while planning bus fleet replacement, encompassing macroeconomic and technological factors, such as fuel and electricity prices, energy consumption, purchasing costs of electric batteries and powertrains, and bus salvage value upon resale. This paper proposes a Real Option-based framework to evaluate investment choices in different bus technologies
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A method of time-varying demand distribution estimation for high-speed railway networks with user equilibrium model Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-03 Tangjian Wei, Richard Batley, Ronghui Liu, Guangming Xu, Yili Tang
Time-varying demand distribution (TDD) is a critical input data for operation and management in HSR systems. This paper proposed a bi-level model to estimate the TDD with the ticket booking date and using the schedule-based User Equilibrium (UE) assignment. The up-level aims to determine the TDD with maximum entropy value and minimal error between the path flow (ticket booking volumes) and the corresponding
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Is ignorance bliss? Centralized and competitive newsvendor models with product availability effect Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-03 Zhennan Yuan, Xiaoming Yan
This paper addresses newsvendor problem by endogenizing product availability effect on consumer demand. Specifically, we consider two retailers that sell a same product under a centralized or a decentralized market. The consumers are heterogeneous in their search costs, and make strategic choices based on the probability of product availability of different retailers. Building a game-theoretic model
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Unravelling and mapping the theoretical foundations of sustainable supply chains: A literature review and research agenda Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-02 Kannan Govindan, Melissa Demartini, Marco Formentini, Paolo Taticchi, Flavio Tonelli
The objective of this paper is to examine the progression of research literature on sustainable supply chain management and present the prevailing theoretical lenses employed in this field. Through a systematic literature review, this paper identifies: i) dominant theories, ii) the roles played by dominant theories and their combination, and iii) the correlation between dominant theories and research
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Travel time models for compact automated parking systems using two I/O points and the point of service completion dwell point policy Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-08-01 Guangmei Wu, Xiruo Wang, Bipan Zou
Modern cities encounter challenges related to parking scarcity arising from limited land space and congested traffic. Compact automated parking systems (CAPS) have gained increasing popularity in addressing this issue. These systems store cars in a multi-tier configuration and use a crane with a shuttle at the centre of the system to transport cars. The system throughput primarily relies on the configuration
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A stochastic ridesharing user equilibrium model with origin-destination-based ride-matching strategy Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-31 Muqing Du, Jiankun Zhou, Guoyuan Li, Heqing Tan, Anthony Chen
Ridesharing, as an emerging mode of modern urban transportation, has gained widespread popularity due to its ability to improve convenience and reduce the expenses in daily travel. To capture its impact on the network-wide traffic flow pattern, this paper develops a new variational inequality (VI) formulation for modeling the stochastic ridesharing user equilibrium (SRUE) problem considering an origin–destination
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A novel parallel computing framework for traffic assignment problem: Integrating alternating direction method of multipliers with Jacobi over relaxation method Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-29 Zhiyuan Liu, Yu Dong, Honggang Zhang, Nan Zheng, Kai Huang
Traffic assignment plays a crucial role in transport system analysis, and the user equilibrium model is a very essential tool. It is however highly challenging to efficiently solve the user equilibrium model, especially for large-scale networks. Taking the deterministic user equilibrium (DUE) model as a representative, this paper aims to harness parallel computing to tackle its high computing burden
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Integrated usage of artificial intelligence, blockchain and the internet of things in logistics for decarbonization through paradox lens Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-29 Ruchi Mishra, Rajesh Kr Singh, Tugrul U. Daim, Samuel Fosso Wamba, Malin Song
The objective of this study was to identify, assess, and prioritize resolution strategies to address paradoxes associated with the integrated use of artificial intelligence (AI), blockchain, and the Internet of Things (IoT) in logistics for decarbonization. To achieve these objectives, a four-phase mixed-methods approach was employed, involving the identification, prioritization, and verification of
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Unlocking efficiency: End-to-end optimization learning for recurrent facility operational planning Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-29 Yun Hui Lin, Xiao Feng Yin, Qingyun Tian
This paper studies a general facility operational planning problem, which involves managing a network of facilities or infrastructures (such as road sections or tolls) to serve customers or users while considering their decentralized behaviors. The objective is to optimize the service plans for each facility, taking into account that customers aim to minimize their own costs or disutilities. This problem
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Control of dynamic ride-hailing networks with a mixed fleet of autonomous vehicles and for-hire human drivers Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-29 Di Ao, Zhijie Lai, Sen Li
This study examines a ride-hailing platform that employs a mixed fleet of autonomous vehicles (AVs) and human drivers to offer on-demand ride-hailing services across a network over a finite planning horizon. In the mixed fleet, AVs have a fixed fleet size and are centrally managed by the platform, while human drivers can dynamically enter and exit from the ride-hailing market based on the prospective
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Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-25 Rameshwar Dubey, Angappa Gunasekaran, Thanos Papadopoulos
Generative Artificial Intelligence (Gen AI) is an up-and-coming technological innovation that has the potential to revolutionise businesses and create significant value. Despite garnering excitement from some quarters, there are still people who are sceptical about its benefits and even fearful of its impact, particularly in the supply chain context, where it is not yet fully understood. To help academics
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Planning electric vertical takeoff and landing aircraft (eVTOL)-based package delivery with community noise impact considerations Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-25 Nahid Parvez Farazi, Bo Zou
The rapid development of Advanced Air Mobility (AAM) in recent years suggests a promise to use electric vertical takeoff and landing aircraft (eVTOLs) for package delivery in metro areas. While eVTOL manufacturers and logistics service providers are actively developing prototype eVTOLs and exploring their potentials for moving freight, a system thinking about the suitability and ways to operate an
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Optimal pricing for on-demand service platforms with heterogeneous customer demand frequencies Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-24 Wenli Zhou, Huan Liu, Ping Cao, Yaolei Wang
On-demand service platforms (ODSPs), which act as mediators between customers and independent service providers, commonly adopt pay-per-service and membership pricing schemes. The pay-per-service scheme charges customers a fee for each service completion. In contrast, the membership scheme charges customers a periodic fee and allows them to make unlimited service requests for a certain period without
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Maritime Fuel Price Prediction of European Ports using Least Square Boosting and Facebook Prophet: Additional Insights from Explainable Artificial Intelligence Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-23 Indranil Ghosh, Arijit De
Prediction of bunker fuel spot prices at a port and understanding the dependence on key determinants is an arduous and challenging activity. The present work strives to analyze the temporal spectrum of daily spot prices of Very Low Sulphur fuel Oil (VLSFO), a critical bunker fuel, in five European Ports, Amsterdam, Antwerp, Gothenburg, Hamburg, and Rotterdam. The lack of prior research in the allied
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A gradient-descent-based framework for solving a stochastic two-echelon delivery problem with cargo-bikes Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2024-07-23 Fatima Ezzahra Achamrah, Jakob Puchinger
In this paper, we examine a stochastic two-echelon vehicle routing problem (2e-VRP) using cargo bikes within hyperconnected networks. The focus is on the integration of both delivery and pickup of reusable containers, incorporating transshipment operations, time windows, and stochastic demand constraints. The model also considers the flow consolidation for empty and full containers at the satellites