Transportation Research Part E-Logistics and Transportation Review最新文献_第3页

Identifying the critical features influencing warehouse rental prices and their nonlinear associations: A spatial machine learning approach

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-26 DOI: 10.1016/j.tre.2025.104092

Nannan He , Sijing Liu , Jason Cao , Guoqi Li , Ming Jian

{"title":"Identifying the critical features influencing warehouse rental prices and their nonlinear associations: A spatial machine learning approach","authors":"Nannan He , Sijing Liu , Jason Cao , Guoqi Li , Ming Jian","doi":"10.1016/j.tre.2025.104092","DOIUrl":"10.1016/j.tre.2025.104092","url":null,"abstract":"<div><div>Warehouses play a crucial role in freight transportation, and their pricing strategies affect warehouse location choices and associated environmental impacts. Although most firms rent storage spaces, limited studies have examined warehouse rental prices (WRP). Furthermore, most studies assume a pre-defined relationship between WRP and its correlates. This study applies spatial machine learning models to warehouse rental data in Shanghai to examine their nonlinear associations. The results show that the primary factors influencing WRP include spatial dependence among warehouses, location and neighborhood attributes, and the floor level of warehouse spaces, whereas lease and service-related factors contribute minimally. Moreover, spatial dependence leads to segmented markets, with high-rent warehouses clustering in the central urban area and around logistics parks and transportation terminals outside the central area. Additionally, most primary correlates exhibit irregular nonlinear relationships with WRP, which shed light on warehouse pricing mechanisms and provide guidance for location choices.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104092"},"PeriodicalIF":8.3,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697122","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}

引用次数: 0

Joint estimation and prediction of city-wide delivery demand: A large language model empowered graph-based learning approach

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-25 DOI: 10.1016/j.tre.2025.104075

Tong Nie , Junlin He , Yuewen Mei , Guoyang Qin , Guilong Li , Jian Sun , Wei Ma

{"title":"Joint estimation and prediction of city-wide delivery demand: A large language model empowered graph-based learning approach","authors":"Tong Nie , Junlin He , Yuewen Mei , Guoyang Qin , Guilong Li , Jian Sun , Wei Ma","doi":"10.1016/j.tre.2025.104075","DOIUrl":"10.1016/j.tre.2025.104075","url":null,"abstract":"<div><div>The proliferation of e-commerce and urbanization has significantly intensified delivery operations in urban areas, boosting the volume and complexity of delivery demand. Data-driven predictive methods, especially those utilizing machine learning techniques, have emerged to handle these complexities in urban delivery demand management problems. One particularly pressing issue that has yet to be sufficiently addressed is the joint estimation and prediction of city-wide delivery demand, as well as the generalization of the model to new cities. To this end, we formulate this problem as a transferable graph-based spatiotemporal learning task. First, an individual-collective message-passing neural network model is formalized to capture the interaction between demand patterns of associated regions. Second, by exploiting recent advances in large language models (LLMs), we extract general geospatial knowledge encodings from the unstructured locational data using the embedding generated by LLMs. Last, to encourage the cross-city generalization of the model, we integrate the encoding into the demand predictor in a transferable way. Comprehensive empirical evaluation results on two real-world delivery datasets, including eight cities in China and the US, demonstrate that our model significantly outperforms state-of-the-art baselines in accuracy, efficiency, and transferability. <strong>PyTorch implementation is available at:</strong> <span><span>https://github.com/tongnie/IMPEL</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104075"},"PeriodicalIF":8.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696148","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}

引用次数: 0

Joint matching and pricing for taxi drive-by sensing

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-24 DOI: 10.1016/j.tre.2025.104071

Binzhou Yang , Ke Han , Shenglin Liu , Ruijie Li

{"title":"Joint matching and pricing for taxi drive-by sensing","authors":"Binzhou Yang , Ke Han , Shenglin Liu , Ruijie Li","doi":"10.1016/j.tre.2025.104071","DOIUrl":"10.1016/j.tre.2025.104071","url":null,"abstract":"<div><div>Drive-by sensing is a promising data collection paradigm that leverages the mobilities of vehicles to survey urban environments at low costs, contributing to the positive externality of urban transport activities. Focusing on e-hailing services, this paper explores the sensing potential of taxi fleets, by designing a joint matching and pricing scheme based on a double auction process. The matching module maximizes the sensing utility by prioritizing trips with high sensing potentials, and the pricing module allocates the corresponding social welfare according to the participants’ contributions to the sensing utility. We show that the proposed scheme is allocative efficient, individually rational, budget balancing, envy-free, and group incentive compatible. The last notion guarantees that the entire group of participants will always end up with the same total utility, regardless of the individual mis-reporting behavior. Extensive numerical tests based on a real-world scenario reveal that the sensing externality can be well aligned with the level of service and budget balance. Various managerial insights regarding the applicability and efficacy of the proposed scheme are generated through scenario-based sensitivity analyses.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104071"},"PeriodicalIF":8.3,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685541","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}

引用次数: 0

Modeling and solving the joint berth allocation and vessel sequencing problem with speed optimization in a busy seaport

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-24 DOI: 10.1016/j.tre.2025.104089

Baoli Liu , Xincheng Wang , Zehao Wang , Jianfeng Zheng , Dian Sheng

{"title":"Modeling and solving the joint berth allocation and vessel sequencing problem with speed optimization in a busy seaport","authors":"Baoli Liu , Xincheng Wang , Zehao Wang , Jianfeng Zheng , Dian Sheng","doi":"10.1016/j.tre.2025.104089","DOIUrl":"10.1016/j.tre.2025.104089","url":null,"abstract":"<div><div>Vessel sequencing, speed optimization, and berth allocation comprise the primary interventions for servicing calling vessels in a busy seaport. The objectives are to minimize vessel completion time and reduce carbon emissions, thus balancing port service efficiency with environmental sustainability. Despite interdependent, these challenges have often been addressed in isolation, leading to sub-optimal or even infeasible solutions for vessel services. In this paper, we propose a bi-objective mixed-integer linear programming model that jointly optimizes the allocation of vessels to berths, as well as the sequencing and sailing speeds of vessels within the channel. To solve this model, we develop a tailored non-dominated sorting genetic algorithm incorporating reinforcement learning. Several efficient methods are presented to improve the performance of the developed algorithm. We also introduce a new relative distance-based metric to evaluate Pareto solutions. Extensive computational experiments on Jingtang Port, China, show that our algorithm outperforms the benchmark algorithms from the literature, yielding far superior solutions in shorter computational times. Various Pareto solutions are provided, based on which trade-offs between service efficiency and environmental sustainability are analyzed and some managerial insights are outlined.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104089"},"PeriodicalIF":8.3,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685540","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}

引用次数: 0

Parcel delivery by vehicle and drone in ordered customer neighborhoods

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-24 DOI: 10.1016/j.tre.2025.104047

Ahmed Ghoniem , Semih Boz , Amro M. El-Adle

{"title":"Parcel delivery by vehicle and drone in ordered customer neighborhoods","authors":"Ahmed Ghoniem , Semih Boz , Amro M. El-Adle","doi":"10.1016/j.tre.2025.104047","DOIUrl":"10.1016/j.tre.2025.104047","url":null,"abstract":"<div><div>We consider a last-mile parcel delivery problem where a vehicle with a companion drone visits a set of ordered neighborhoods, following a line of travel that starts and ends at the depot. The decision-maker restricts the drone to fly within the neighborhood being serviced by the vehicle and seeks to optimize the vehicle and drone operations so that the total time to return to the depot, upon completing all deliveries, is minimized. The problem is formulated as a mixed-integer program, which is enhanced via cut-set constraints and valid inequalities derived using the Reformulation-Linearization Technique (RLT). Further, we investigate the logistical and computational effects of optionally imposing street precedence rules, based on training data from numerous optimized solutions for instances constructed in Amherst, MA (USA). Our study examines the computational tractability of the baseline model, the usefulness of imposing valid inequalities, and the impact of enforcing street precedence rules. Remarkably, enforcing RLT-based valid inequalities enables, in our experience, optimal solutions for instances having up to 200 customers within manageable times, thereby yielding a practical optimization-based framework for decision-makers.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104047"},"PeriodicalIF":8.3,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685542","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}

引用次数: 0

STraM: A strategic network design model for national freight transport decarbonization

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-24 DOI: 10.1016/j.tre.2025.104076

Steffen J.S. Bakker , Jonas Martin , E. Ruben van Beesten , Ingvild Synnøve Brynildsen , Anette Sandvig , Marit Siqveland , Antonia Golab

{"title":"STraM: A strategic network design model for national freight transport decarbonization","authors":"Steffen J.S. Bakker , Jonas Martin , E. Ruben van Beesten , Ingvild Synnøve Brynildsen , Anette Sandvig , Marit Siqveland , Antonia Golab","doi":"10.1016/j.tre.2025.104076","DOIUrl":"10.1016/j.tre.2025.104076","url":null,"abstract":"<div><div>National freight transport models are valuable tools for assessing the impact of various policies and investments on achieving decarbonization targets under different future scenarios. However, these models struggle to address several critical elements necessary for strategic planning, such as the development and adoption of new fuel technologies over time, inertia in transport fleets, and uncertainty surrounding future transport costs. In this paper, we develop a strategic network design model, named STraM, that explicitly incorporates these key factors. STraM, being a two-stage stochastic program, effectively handles long-term uncertainty by considering different future scenarios in its decision-making process.It provides a network design plan that includes infrastructure investments and fuel technology decisions, aiming to achieve cost-effective decarbonization of the freight transport system. The model output can be used as input for higher-resolution national freight transport models to yield results with greater operational detail. We demonstrate the application of STraM through a case study of Norway, offering valuable insights into the strategic planning of decarbonizing freight transport.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104076"},"PeriodicalIF":8.3,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685538","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}

引用次数: 0

Buy-online-pickup-in-store service: A precarious competing strategy

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-24 DOI: 10.1016/j.tre.2025.104050

Lina Zhang , Yumeng Zhang

{"title":"Buy-online-pickup-in-store service: A precarious competing strategy","authors":"Lina Zhang , Yumeng Zhang","doi":"10.1016/j.tre.2025.104050","DOIUrl":"10.1016/j.tre.2025.104050","url":null,"abstract":"<div><div>The widespread adoption of buy-online-pickup-in-store (BOPS) services has attracted significant research attention, particularly regarding when an online retailer should deploy BOPS service for last-mile delivery (LMD). This study examines the efficiency of BOPS adoption in a competing environment. Using a game-theoretical model within a duopoly framework, we investigate the pricing and BOPS service design decisions between competing retailers with varying home delivery (HD) service qualities. The results reveal how a retailer responds to its competitor’s different BOPS adoption strategies. When it is not yet available in the market, BOPS service provides a competitive advantage as the only BOPS-offering retailer enjoys increased profits. We identify distinctive profit mechanisms for retailers with a higher or lower level of HD service quality: enhanced competitive differentiation effect for the former and quality perception improvement effect for the latter. Nevertheless, our analysis shows that when both retailers adopt BOPS service, they reach an equilibrium where at least one retailer is worse off. The prisoner’s dilemma may occur where both retailers end up in a suboptimal position, and the likelihood of this dilemma is influenced by their HD service quality differentiation. Ultimately, while seemingly beneficial, BOPS service is a precarious competitive strategy that may trap retailers. Our findings contribute to the expanding BOPS literature and offer valuable practical implications for online retailing.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104050"},"PeriodicalIF":8.3,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685539","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}

引用次数: 0

Editorial: Managing transportation hubs

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-22 DOI: 10.1016/j.tre.2025.104077

Kevin Cullinane, Paul Tae-Woo Lee, Shahryar Sorooshian

引用次数: 0

AGV charging scheduling with capacitated charging stations at automated ports

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-22 DOI: 10.1016/j.tre.2025.104080

Zheng Xing , Haitao Liu , Tingsong Wang , Yun Hui Lin , Ek Peng Chew , Kok Choon Tan , Haobin Li

{"title":"AGV charging scheduling with capacitated charging stations at automated ports","authors":"Zheng Xing , Haitao Liu , Tingsong Wang , Yun Hui Lin , Ek Peng Chew , Kok Choon Tan , Haobin Li","doi":"10.1016/j.tre.2025.104080","DOIUrl":"10.1016/j.tre.2025.104080","url":null,"abstract":"<div><div>With technological advancements and a growing focus on environmental sustainability, battery-powered automated guided vehicles (AGVs) have gained widespread adoption in automated container ports. Consequently, the scheduling of AGV charging has emerged as a crucial issue. However, research on AGV charging in the context of automated ports is limited, often neglecting the interactions between different types of equipment such as quay cranes (QCs) and yard cranes (YCs). Additionally, the limited capacity of charging stations (CSs) is often overlooked. We investigate an AGV charging scheduling problem with capacitated CSs, to minimize the operation time of AGVs for completing given discharging and loading tasks. We use a path-based method to formulate the problem as a mixed integer programming model. Also, a matheuristic framework combining mathematical models with heuristics is developed to address the considered problem. Numerical results based on small-scale and large-scale instances demonstrate the effectiveness of the proposed method. We find that some measures, namely a flexible charging policy and broader container distribution, can lead to reduced AGV total operation time and task makespan.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104080"},"PeriodicalIF":8.3,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685537","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}

引用次数: 0

Graph Convolutional Networks for logistics optimization: A survey of scheduling and operational applications

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-21 DOI: 10.1016/j.tre.2025.104083

Rahimeh Neamatian Monemi , Shahin Gelareh , Pedro Henrique González , Lubin Cui , Karim Bouamrane , Yu-Hong Dai , Nelson Maculan

{"title":"Graph Convolutional Networks for logistics optimization: A survey of scheduling and operational applications","authors":"Rahimeh Neamatian Monemi , Shahin Gelareh , Pedro Henrique González , Lubin Cui , Karim Bouamrane , Yu-Hong Dai , Nelson Maculan","doi":"10.1016/j.tre.2025.104083","DOIUrl":"10.1016/j.tre.2025.104083","url":null,"abstract":"<div><div>Graph Convolutional Networks (GCNs) have emerged as pivotal tools in addressing intricate optimization and scheduling challenges within logistics, encompassing canonical problems such as the Vehicle Routing Problem (VRP), Traveling Salesman Problem (TSP), and dynamic job scheduling. This survey presents a comprehensive exploration of GCN applications, emphasizing their capacity to model spatial–temporal dependencies and their seamless integration with advanced paradigms, including reinforcement learning and hybrid optimization techniques. By leveraging these capabilities, GCNs have demonstrated enhanced scalability and interpretability, rendering them indispensable for large-scale, real-time logistics systems. The review extends to real-world implementations, illustrating GCN-driven innovations in resource allocation, traffic management, and supply chain optimization. In addition, the study critically examines persistent challenges—ranging from processing dynamic graphs to ensuring ethical deployment through fairness and sustainability. The paper concludes with forward-looking recommendations, advocating for the evolution of GCN architectures to adeptly manage real-time decision-making and uncertainty in increasingly complex logistical landscapes.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"197 ","pages":"Article 104083"},"PeriodicalIF":8.3,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672833","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}

引用次数: 0