Transportation Letters-The International Journal of Transportation Research最新文献

{"title":"Intra-provincial long-distance leisure travel-activity heterogeneity across age groups: a multi-group latent class analysis","authors":"Ziyue Davia Dong ,&nbsp;Eric J. Miller","doi":"10.1080/19427867.2025.2606308","DOIUrl":"10.1080/19427867.2025.2606308","url":null,"abstract":"<div><div>Long-distance leisure travel plays a critical role in regional transportation and urban development, yet its contextual variation and behavioral heterogeneity remain insufficiently understood. This study employs multi-group latent class regression (mgCLR) models to examine intra-provincial leisure travel-activity patterns in Ontario, Canada, capturing multilevel and multidimensional heterogeneity with statistical interpretability. Using data from the 2019 Canadian National Travel Survey, this analysis identifies four latent travel classes and six latent activity classes, forming twenty-four distinct travel-activity segments. Results reveal both commonalities and sharp contrasts among age groups alongside compounding age-income effects that shape trip making, activity participation and spending. These findings provide fresh and actionable insights for transportation agencies and tourism businesses to better align service provision and targeted offerings with heterogeneous leisure demand. By explicitly accounting for group distinctions and compounding effects, the study supports more equitable, efficient, and demand-responsive travel and tourism planning.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 771-788"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 models as spatiotemporal graph learning enhancers for large-scale traffic forecasting","authors":"Chang Peng ,&nbsp;Chengcheng Xu ,&nbsp;Haibo Chen ,&nbsp;Qi Ai ,&nbsp;Guodong Zhang ,&nbsp;Xu Cui","doi":"10.1080/19427867.2025.2601756","DOIUrl":"10.1080/19427867.2025.2601756","url":null,"abstract":"<div><div>Understanding the traffic dynamics in spatial and temporal dimensions is essential to network-wide forecasting. Spatiotemporal graph (STG)-based prediction emerges as a promising method by integrating graph and temporal neural networks. Inspired by the extensive knowledge of large language models (LLMs), this paper leverages their understanding on traffic phenomena to enhance spatiotemporal forecasting. The LLMs are regard as general knowledge identifiers to recognize traffic patterns and underlying factors as prior knowledge, which is further vectorized based on a language model. An attention-based module is developed to incorporate the vectorized knowledge into STG models. The proposed framework was applied on a real-world traffic dataset, with multiple LLMs, STG models, and prediction horizons to evaluate the effects of LLM-identified knowledge on prediction accuracy and training efficiency. The incorporated knowledge significantly enhances comparatively weaker STG predictors over a relatively long horizon, especially in rush hours. It also leads to notable acceleration in STG training.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 721-737"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling household-level party composition behavior for multiparty activities: a random parameter nested logit modeling approach","authors":"Nazmul Arefin Khan ,&nbsp;Joshua A. Auld","doi":"10.1080/19427867.2025.2605384","DOIUrl":"10.1080/19427867.2025.2605384","url":null,"abstract":"<div><div>This study presents findings of a household-level party composition model for multiparty activities. It exploits data from a comprehensive Household Travel Survey conducted by Chicago Metropolitan Agency of Planning. The study estimates a random parameter nested logit model to capture households’ unobserved preference heterogeneity and non-proportional substitution patterns in terms of activity party composition for multiparty activities. A wide variety of household demographics, activity attributes and residential neighborhood characteristics are examined in this paper. The magnitude of the impacts of the determinants are tested in this study by analyzing the elasticity of the variables, which suggests that household demographics and attributes of the multiparty activities have significant effects on the household-level activity party composition. Residential neighborhood characteristics, although somewhat less impactful, still play a meaningful role. This model will be implemented within the POLARIS transportation systems simulator to improve the activity generation modeling workflow, and the prediction accuracy of various activity-travel components.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 756-770"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulating desired speeds-based intelligent driver model for large sample size of urban expressways","authors":"Md. Mijanoor Rahman ,&nbsp;Md. Jamal Hossain ,&nbsp;Mohammad Raquibul Hossain ,&nbsp;Mohd. Tahir Ismail ,&nbsp;Majid Khan Majahar Ali","doi":"10.1080/19427867.2025.2604338","DOIUrl":"10.1080/19427867.2025.2604338","url":null,"abstract":"<div><div>The best car-following model (Intelligent Driver Model) incorporates desired speed parameter, whereas the literature suggested to include such parameter in driving behavior of lane changing model. Previous researches, however, have overlooked few things that desired speed values of many vehicles are to be collected from big data, and these values may have a significant effect on discretionary lane changing action. This research proposes the desired speed values for lane changing drivers and target lane vehicle drivers from calibrated IDM using big data for on-ramp and off-ramp areas, and simulates this IDM using the proposed data for validation test. The calibration method uses a genetic algorithm against the real dataset. Further, finding results suggest overcoming conflicts in this dataset by controlling the used dynamic factors. High performance-based traffic simulation software in the future can use the further developed model to decrease traffic crashes, bottlenecks, and long signals in the intersection.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 738-755"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Formulating the express railway network design for relieving in-vehicle crowding, incorporating a bi-level modeling approach","authors":"Jaemin Hwang ,&nbsp;Shin-Hyung Cho","doi":"10.1080/19427867.2025.2610229","DOIUrl":"10.1080/19427867.2025.2610229","url":null,"abstract":"<div><div>Crowding in vehicles is worse in concentrated urban areas. It is necessary to extend the public transit network, delivering travelers with a high level of service. This study aims to develop a design model of an express railway to improve mobility and relieve congestion on the existing urban rail transit network. A bi-level structure has been employed to solve the network design problem. The upper-level model is formulated to maximize the net-benefit of the entire rail network, whereas the lower-level model is formulated to grasp the effect of crowding on vehicles. A genetic algorithm is employed to solve the combinatorial optimization problem in a reasonable time. The results show that the developed model can find the optimal express railway by reflecting the relation of the trade-off between accessibility and mobility of the system. This study contributes to the establishment of the long-term plan for public transit networks in metropolitan areas.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 809-822"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hub-and-spoke network design problem with multiple modes of transport","authors":"Bruno da Rocha Mendonça ,&nbsp;Carlos Diego Rodrigues ,&nbsp;Bruno de Athayde Prata","doi":"10.1080/19427867.2025.2599216","DOIUrl":"10.1080/19427867.2025.2599216","url":null,"abstract":"<div><div>Although the hub allocation problem in distribution networks has been widely studied, few works consider network models that include multiple modes of transportation. To address this NP-hard problem, a Mixed-Integer Linear Programming (MILP) model was developed. Using metaheuristics based on GRASP and VNS, the model selects the best vertices to serve as hubs, minimizing the cost of potential routes formed by these elements. Solutions are obtained through a Variable Neighborhood Search algorithm, which analyzes the vertices accessing the network after hub selection. The MILP model includes parameters that better account for the different modes of transportation. Computational experiments were conducted with randomly generated test instances and compared with existing similar algorithms. These experiments produced satisfactory solutions for problems with up to 500 vertices, a significant advancement given the complexity of the problem. In the literature, similar mathematical models typically solve problems with only up to 25 vertices.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 683-694"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal container slot allocation and pricing optimization with overbooking strategies","authors":"Bing Han ,&nbsp;Xinpeng Geng ,&nbsp;Song Wang ,&nbsp;Jie Zhang","doi":"10.1080/19427867.2025.2588686","DOIUrl":"10.1080/19427867.2025.2588686","url":null,"abstract":"<div><div>In the face of uncertain and diverse market demands, maximizing revenue for multimodal transport operators in limited circumstances is a critical challenge. This paper addresses the joint decision-making process of container slot allocation and dynamic pricing, incorporating an overbooking strategy based on revenue management theory from the perspective of multimodal transport operators. We formulate a two-stage stochastic programming model for this problem. Numerical experiments validate the model’s effectiveness, showing that overbooking resolves the conflict between limited capacity and revenue goals, significantly increasing operator revenue. Unlike previous studies, this work introduces a novel modeling framework that integrates overbooking into joint decision-making, offering a more realistic and comprehensive approach. These findings provide a viable solution for multimodal transport operators to increase their revenue and offer theoretical and practical insights for effective resource allocation in the market.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 583-602"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward safer streets: Investigating risk factors for pedestrian injury severity in Pakistan","authors":"Muhammad Junaid Khan ,&nbsp;Chaozhe Jiang ,&nbsp;Amjad Pervez ,&nbsp;Tingru Zhang","doi":"10.1080/19427867.2025.2587616","DOIUrl":"10.1080/19427867.2025.2587616","url":null,"abstract":"<div><div>Pedestrian crashes are a leading cause of road traffic fatalities and serious injuries in low- and middle-income countries, including Pakistan. However, pedestrian safety remains underexplored compared to other vulnerable road users, such as motorcyclists and motorized rickshaw occupants. In addition, most of the existing studies related to pedestrian safety in the country have primarily examined overall crash frequencies or broad injury patterns, providing limited insights into the factors influencing injury severity in pedestrian-involved crashes. This study investigates key factors associated with pedestrian injury severity in Pakistan by analyzing 4,024 crashes collected between January 1 2020 and July 31 2023. A random parameters binary probit model with heterogeneity in means and variances was applied to account for unobserved heterogeneity in injury severity outcomes. The model reveals significant heterogeneity in the effects of different variables, i.e., nighttime, outer shoulder width, and access point presence. Findings showed that the likelihood of severe pedestrian injuries increases due to demographic attributes (e.g., men pedestrians, individuals aged 41 and above), environmental and temporal characteristics (e.g., crashes occurring during or after the COVID-19 period, nighttime), and crash features (e.g., collisions involving passenger cars or heavy vehicles, excessive speeding). In addition, roadway geometric attributes (e.g., presence of intersections, narrow shoulders, access points) were found to significantly influence injury severity. The study highlights the need for targeted, health-focused interventions, including promoting gender-inclusive pedestrian safety initiatives, implementing age-friendly urban designs, and adopting speed management strategies from Vision Zero programs, to enhance pedestrian safety. These measures can help reduce pedestrian-related injury severity and support safer urban environments in Pakistan and other similar settings.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 563-582"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Capacity-utilization oriented train scheduling for busy high-speed rail based on an improved time-space network","authors":"Xin Shi ,&nbsp;Wenliang Zhou ,&nbsp;Xin Zhang","doi":"10.1080/19427867.2025.2600543","DOIUrl":"10.1080/19427867.2025.2600543","url":null,"abstract":"<div><div>This paper addresses the capacity-utilization oriented train scheduling problem for busy high-speed railways in China, aiming to enhance transport capacity utilization by increasing the number of scheduled trains. A practical and efficient approach is proposed, integrating differentiated safety time-intervals, train slowdown times, and flexible train stops into an integer programming model. To solve the model, an efficient algorithm is designed to optimize arc penalty costs within the time-space network. Additionally, a flexible train cancellation strategy is introduced to minimize cancellations while ensuring successful scheduling. Numerical analysis on the Shanghai–Hangzhou High-speed Railway demonstrates a 47.66% improvement in scheduled trains, scheduling nearly 160 trains in one direction over a full day, with only a modest 4.72% increase in total travel time, resulting from the conflict resolution strategies employed. This trade-off is acceptable given the significant gain in capacity utilization and scheduling success, making the proposed method an effective solution for enhancing railway capacity.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 695-719"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collaborative planning of transportation routes and timetables under the cold chain multi-service mode: considering service attribute preferences","authors":"Qubo Yu ,&nbsp;Kun Liu ,&nbsp;Shaoquan Ni ,&nbsp;Xiaowei Liu","doi":"10.1080/19427867.2025.2581568","DOIUrl":"10.1080/19427867.2025.2581568","url":null,"abstract":"<div><div>Cold chain logistics refers to a special supply chain system with a high demand for low-cost, on-time transportation, high reliability, and environmental friendliness. This study proposes a fuzzy integer nonlinear programming model for the collaborative planning of cold chain transportation routes and timetables, considering service attribute preferences and the uncertainty of the transport cost coefficient, transport time, inventory time, and capacities. Numerical experiments are conducted based on the New Land-Sea Trade Corridor in southwest China. The cold chain multi-service mode achieves a balance between the total cost, reliability, and travel time. Different departure times have a significant impact on transportation plans intended to avoid violating service connection constraints. Preferring particular service attributes does not necessarily increase total transportation costs, enabling improved service quality without increasing total costs.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 545-562"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}