Xinyun Lao , Yu Shen , Jing Cao , Yuxiong Ji , Yuchuan Du
{"title":"Does implicit attitude affect travel mode choice behaviors? A study of customized bus attraction to urban railway riders","authors":"Xinyun Lao , Yu Shen , Jing Cao , Yuxiong Ji , Yuchuan Du","doi":"10.1080/19427867.2025.2452050","DOIUrl":"10.1080/19427867.2025.2452050","url":null,"abstract":"<div><div>Urban railway (UR) systems in densely populated cities face oversaturation during peak hours, yet bus ridership keeps declining. Shifting some UR riders to buses is crucial. Customized bus (CB), a demand-responsive transit mode, could attract riders from congested rail systems. This study investigates mode choice behaviors between CB and UR, focusing on implicit and explicit attitudes. An online survey combining revealed and stated preference scenarios is designed, incorporating the implicit association tests and Likert-scale questions to measure the implicit and explicit attitudes. Multinomial logit models are adopted to analyze responses from 1,500 commuters. Then, investment strategies to enhance the attractiveness of CB are designed and simulated. Results show: (1) incorporating implicit and/or explicit attitudes significantly influenced choice behavior but does not improve the goodness-of-fit; (2) female and high-income individuals hold the most positive implicit attitudes toward CB; (3) equity-based resource allocation proves more effective than other strategies in enhancing attitudes.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1399-1413"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223530","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}
Wenshan Liu , Zihao Tian , Rui Zhao , Yixiao Liu , Lixin Tian , David Z. W. Wang
{"title":"Service area design and allocation problem for electric bike sharing system under demand uncertainty","authors":"Wenshan Liu , Zihao Tian , Rui Zhao , Yixiao Liu , Lixin Tian , David Z. W. Wang","doi":"10.1080/19427867.2025.2454075","DOIUrl":"10.1080/19427867.2025.2454075","url":null,"abstract":"<div><div>Currently, the electric bike sharing system (EBSS) has gained popularity due to its efficiency and eco-friendliness. However, limited battery capacity of electric bikes (EBs) complicates the system design. To address this, we propose a service area design and allocation model incorporating hybrid stations, aiming to maximize daily net profit. Two cases are explored to address demand uncertainty. First, an expected value model is established, where demand is described probabilistically. Second, demand uncertainty is addressed by modeling random variables as uncertain parameters within an uncertainty set. A two-stage robust optimization model is developed, which maximizes the net profit in the worst-case scenario. We design a row generation approach to solve adjustable two-stage robust programs. Numerical experiments with data from the Daha EBSS in Yangzhou, China, demonstrate the model applicability. Moreover, the proposed algorithm outperforms the existing scenario-based approach in terms of both solution quality and computational efficiency.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1430-1453"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223532","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":"Matrix-based long-term traffic flow prediction","authors":"Qi Guo , Benyun Shi , Youjie Wan","doi":"10.1080/19427867.2024.2440211","DOIUrl":"10.1080/19427867.2024.2440211","url":null,"abstract":"<div><div>Accurate long-term traffic prediction is crucial for enhancing traffic efficiency, ensuring urban safety, and fostering sustainable urban development. However, forecasting over extended periods is challenging due to intricate trends, cyclical variations, and interference from outlier data. To address these issues, this study proposes a matrix-based traffic flow prediction model. The model constructs a matrix with periods as rows and similarities as columns, leveraging periodicity and similarity in traffic data. A row-column prediction module links these patterns efficiently, while a fluctuation transformation mitigates the impact of outliers, significantly improving forecast accuracy. Extending the forecast time span to 14 days with hourly intervals, the model was validated using the PeMS dataset provided by the California Department of Transportation. Results demonstrate the model’s effectiveness in capturing complex temporal dynamics, providing a robust tool for long-term traffic prediction.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1349-1360"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223559","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":"Revisit bus network robustness from the perspective of service-physical dependency","authors":"Jin-Yang Li , Hui Wang , Jing Teng","doi":"10.1080/19427867.2025.2470543","DOIUrl":"10.1080/19427867.2025.2470543","url":null,"abstract":"<div><div>This study revisits bus network robustness by addressing the dependency of bus service networks on the underlying physical road network. A novel methodology integrates resistance distance theory with a multilayer physical-service network framework, accounting for disruptions at the road layer and detour mechanisms. Two robustness indices are introduced: the absolute resistance robustness index, which quantifies the overall impact of disruptions, and the relative resistance robustness index, which reflects network redundancy. Using data from 29 cities, the empirical analysis reveals that geographical and socioeconomic factors significantly influence bus network robustness, with higher GDP, flatter terrains, and concentrated urban areas associated with greater relative robustness. Sensitivity analysis identifies terrain compactness as the most influential factor. This methodology advances the theoretical understanding of transportation network resilience and provides practical tools for urban transportation planning. Future research could extend the approach to directional networks and incorporate travel demand data for more refined analyses.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1535-1548"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223528","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}
Yuan Yao , Linlong Chen , Xianchen Wang , Xiaojun Wu
{"title":"Traffic flow forecasting based on augmented multi-component recurrent graph attention network","authors":"Yuan Yao , Linlong Chen , Xianchen Wang , Xiaojun Wu","doi":"10.1080/19427867.2025.2450577","DOIUrl":"10.1080/19427867.2025.2450577","url":null,"abstract":"<div><div>Accurate real-time traffic flow forecasting has been a challenge due to the complex spatial–temporal dependencies and uncertainties associated with the dynamic changes in traffic flow. To overcome this problem, a traffic flow forecasting model based on an Augmented Multi-Component Recurrent Graph Attention Network (AMR-GAT) is proposed in this paper to model the spatial–temporal correlations and periodic offset of traffic flows. This paper introduces an augmented multi-component module to address periodic temporal offset in traffic flow forecasting. It proposes an encoder-decoder architecture combining 1D convolution and LSTM via a Temporal Correlation Learner (TCL) to capture temporal characteristics, while a Graph Attention Network (GAT) handles spatial features. TCL and GAT are integrated to manage spatial-temporal correlations, and the decoder uses TCL and convolutional neural networks to generate high-dimensional representations based on spatial-temporal sequences. Experiments on two datasets demonstrate superior prediction performance of the proposed AMR-GAT model.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1390-1398"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223533","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}
Ali Farhan , Lina Kattan , Nigel Waters , Richard Tay
{"title":"A system dynamics approach for assessing the impacts of autonomous vehicles on collision frequency","authors":"Ali Farhan , Lina Kattan , Nigel Waters , Richard Tay","doi":"10.1080/19427867.2025.2452725","DOIUrl":"10.1080/19427867.2025.2452725","url":null,"abstract":"<div><div>This study employs a System Dynamics (SD) approach to assess the long-term impact of Autonomous Vehicles (AVs) on traffic collisions. By modeling key variables affecting collision frequency, the SD framework represents existing transportation systems and incorporates AV adoption to evaluate changes in collision rates. The models predict the frequency of Property Damage Only (PDO) and Fatal-Injury (FI) collisions at different levels of AV market penetration. Two policy scenarios are examined: incentives for shared AVs and higher occupancy rates for shared AV services. Results indicate significant improvements in traffic safety as AV penetration increases, particularly when coupled with shared AV usage and advanced sensing and communication technologies. The models provide valuable insights into the complex interactions between AVs and collision-related factors. These findings support the development of effective policies to guide the adoption of AV technology, reduce accidents, and enhance overall road safety in the long term.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1414-1429"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223526","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":"Optimizing the train timetable considering cross-line operation in the urban rail transit network","authors":"Junsheng Huang , Qin Luo , Kang Huang","doi":"10.1080/19427867.2025.2470456","DOIUrl":"10.1080/19427867.2025.2470456","url":null,"abstract":"<div><div>Cross-line operation stands out as one of the emerging new metro operations. This paper investigates the cooperative optimization of cross-line train stopping/overtaking schemes, and train timetables on the metro network under cross-line operation. To describe passengers’ traveling process, a travel path alternative set generation method based on rational passengers is proposed, which proactively distinguishes the travel paths of passengers. For a given passenger travel path, the paper adopts a passenger pre-classification method, dividing passengers into four groups, to separately calculate their travel time. The model’s optimization objective is to minimize the travel time of passengers across the entire network. To enhance the efficiency of the model solution, a two-stage algorithm with a search strategy is introduced. To demonstrate the correctness of the model and the effectiveness of the algorithm, the model is applied to a network comprising 4 lines and 39 stations. Comparing with split-line operation, the results demonstrate that cross-line operations can achieve an approximate 11.32% reduction in network-wide passenger travel time and a substantial 67.09% reduction in network-wide transfer flow. Finally, this paper conducts a set of sensitivity analyses to summarize the characteristics of cross-line train operation and provides recommended combinations for passengers choosing the train service.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1513-1534"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223534","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":"A comparative study of public transport commuters’ travel choice for autonomous vehicles from a travel experience perspective","authors":"Huanmei Qin , Binhai Yu , Yonghuan Zhang , Meina Cheng , Zhaolin Lu","doi":"10.1080/19427867.2025.2463027","DOIUrl":"10.1080/19427867.2025.2463027","url":null,"abstract":"<div><div>The application of autonomous vehicles (AVs) will offer a novel travel option for public transport users in the future. To analyze their choice preferences regarding AVs, this study conducted an experience-based stated choice survey in two hypothetical commuting scenarios. The survey was administered in Beijing and a total of 213 samples were collected. Travel choice models incorporating experienced perceptions and attitudes were formulated to identify public transport commuters’ preferences regarding AVs. It is concluded that hands-on travel experience has enhanced commuters’ overall perception of traveling with AVs. Travel cost is their primary concern, followed by travel time and comfort. Holding more positive attitudes and improved perceptions of AVs would increase their choice of SAVs. Additionally, this shift may lead to decreased passenger flow for public transport and increased traffic flow in the road network. The research findings can provide insight into transport policies for future transportation systems.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1471-1485"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223529","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":"Mobile charging service optimization for electric vehicles","authors":"Dong Qiao , Guangmin Wang , Meng Xu","doi":"10.1080/19427867.2024.2448783","DOIUrl":"10.1080/19427867.2024.2448783","url":null,"abstract":"<div><div>Mobile charging stations (MCSs) offer flexible, portable, and scalable alternatives to fixed charging stations (FCSs) for electric vehicles. To develop a cost-effective and efficient mobile charging fleet, this study proposes a bi-objective programming model to address the joint scheduling and routing problem of MCSs considering the layout of FCSs. The objectives are to minimize the total travel distance of MCSs and maximize the system coverage level. The weighted sum method and linear relaxation technique are employed to transform the proposed model into a single-objective integer linear programming model solved by the Gurobi solver. A case study in the Futian District of Shenzhen, China shows that the integration of MCSs results in a 6.7% improvement in the system coverage level. The experimental results provide quantitative insights into the impact of various MCS configurations on objectives. Additionally, the operational data of MCSs offer valuable references for the strategic planning of FCSs.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1375-1389"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223531","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":"Understanding work-arrangement choices: factors and implications","authors":"Md Asif Hasan Anik , Muhammad Ahsanul Habib","doi":"10.1080/19427867.2025.2456364","DOIUrl":"10.1080/19427867.2025.2456364","url":null,"abstract":"<div><div>Information and communication technologies (ICTs) have spurred new work arrangements, yet factors influencing these choices remain unclear. This study employs mixed-logit modeling to investigate the determinants of work arrangements—’fully work-from-home (WFH),’ ‘hybrid,’ and ‘no WFH’ – and their impact on activity-travel behavior. Conducted in Halifax Regional Municipality, Nova Scotia, Canada, the study combines travel survey data with Census and built-environment data for analysis. Significant differences are found in activity count, work duration, vehicle kilometers traveled, and commute time among the work-arrangement groups. ‘Hybrid’ and ‘no WFH’ individuals tend to reside closer to downtown, while ‘full WFH’ individuals prefer suburban and rural areas. Results identify individual, household, and accessibility attributes as key determinants, confirming random heterogeneity among respondents. Results suggest shorter auto commute times correlate with higher likelihood of ‘no WFH’ and lower likelihood of ‘full WFH.’ This research aids policymakers and transportation professionals in developing effective travel demand management strategies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1454-1470"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223535","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}