International Journal of Transportation Science and Technology最新文献

{"title":"A simulation approach for analyzing metro resilience under operational incidents","authors":"Yuxiong Ji,&nbsp;Wenxuan Fan,&nbsp;Yu Shen,&nbsp;Yuchuan Du,&nbsp;Wei Wang","doi":"10.1016/j.ijtst.2025.03.001","DOIUrl":"10.1016/j.ijtst.2025.03.001","url":null,"abstract":"<div><div>Operational incidents represent the most prevalent anomalies encountered within metro systems. This study develops a simulation-based approach for comprehensively understanding the impact of such incidents on metro resilience. Unlike prior research, which often assumes complete station or link closures in response to abnormal events, the proposed approach acknowledges the implementation of dynamic rescheduling strategies to restore metro services. A performance-based metric is proposed to assess metro resilience. To validate the effectiveness of the developed approach, a case study is conducted utilizing empirical data from the Shanghai metro system. Results demonstrate that the proposed metric offers enhanced discrimination between performance degradation resulting from operational incidents and that arising from daily performance fluctuations, surpassing the capabilities of existing metrics. Furthermore, the validity and practicality of our approach are underscored through simulations of multiple real-world operational incidents and comparisons with traditional approaches. The time-varying resilience produced by the developed approach closely aligns with real-world data, showcasing its ability to accurately capture metro resilience evolution.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"22 ","pages":"Pages 18-36"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148545071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring time allocation patterns for daily activities through a discrete choice modeling approach","authors":"Yan Guo,&nbsp;Brian Yueshuai He","doi":"10.1016/j.ijtst.2025.03.003","DOIUrl":"10.1016/j.ijtst.2025.03.003","url":null,"abstract":"<div><div>This study examines human daily mobility patterns by analyzing activity duration choices through discrete choice models, offering insights into travel behaviors across diverse geographic and cultural contexts in the U.S. Using data from the 2023 American Time Use Survey (ATUS), we assessed activity time allocation across six states: California, New York, Pennsylvania, Texas, Illinois, and Florida. By estimating multiple segmented multinomial logit models (MNLs), we explored how activity types and socio-economic factors influence time allocation decisions. Our findings reveal substantial regional variability in activity durations, with extended periods (120 + minutes) preferred for work and leisure, while brief durations were largely avoided. Dining patterns exhibited more variability, with coastal states favoring moderate durations (30–60 min) and inland states showing more evenly distributed preferences. The pandemic years (2020–2022) prompted notable shifts in work and leisure patterns, particularly in Florida, while dining preferences shifted towards shorter durations, especially in coastal states. This study highlights the importance of context-specific analyses, emphasizing the need for models that capture regional differences in behavior. Our findings suggest significant implications for transportation planning and policy, providing valuable insights for improving travel demand forecasting and facilitating associated infrastructure.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"22 ","pages":"Pages 75-93"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148545072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intermediate-temperature cracking performance evaluation of asphalt mixtures","authors":"Mohammed Abu Saq,&nbsp;Hamza Alkuime,&nbsp;Emad Kassem","doi":"10.1016/j.ijtst.2025.03.008","DOIUrl":"10.1016/j.ijtst.2025.03.008","url":null,"abstract":"<div><div>This study examines the influence of specimen thickness and air void content on asphalt cracking performance using the multi-stage semi-circular bending dynamic (MSSD) test and the indirect tensile asphalt cracking test (IDEAL-CT). Results indicate that MSSD slope and intercept indicators were largely unaffected by thickness variations, making them reliable for fatigue resistance assessments. In contrast, dissipated energy and the IDEAL-CT index were highly sensitive to thickness, requiring standardization (preferably at 50 mm) or correction factors for accurate evaluations. Air void content had a significant effect on all cracking indicators. Higher air voids increased MSSD slope values and decreased ABS intercept values, dissipated energy, and stiffness reduction, confirming that excessive voids weaken asphalt mixtures. The IDEAL-CT index, however, unexpectedly increased with air void content, contradicting expected field performance and raising concerns about its reliability for real-world cracking assessments. The findings highlight the importance of standardizing air void content within 4–7% to ensure reliable test results and meaningful comparisons. Paris’ law parameters (slope and absolute intercept) and stiffness modulus reduction were identified as the most robust indicators for fatigue resistance due to their low sensitivity to thickness variations. Given the inconsistencies observed in the IDEAL-CT index, further research is needed to determine its applicability in field evaluations. Overall, the study reinforces the advantages of the MSSD test in providing more precise and field-relevant cracking performance.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"22 ","pages":"Pages 159-176"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148573507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing the abrasion resistance of cement concrete pavement through in-situ precipitation of hydroxyapatite","authors":"Xin Qian,&nbsp;Mengxiao Li,&nbsp;Bo Yu,&nbsp;Fan Yang,&nbsp;Heng Yang,&nbsp;Ting Huang,&nbsp;Hongduo Zhao","doi":"10.1016/j.ijtst.2025.05.004","DOIUrl":"10.1016/j.ijtst.2025.05.004","url":null,"abstract":"<div><div>This study introduces a bio-inspired approach aimed at improving the abrasion resistance of Portland cement concrete (PCC) pavements. The method involves the in-situ precipitation of hydroxyapatite (HAP), the hardest mineral in the human body, on the concrete surface through repeated treatments with diammonium phosphate (DAP) solution. Experimental results demonstrate a significant reduction in mean profile depth (MPD) loss under accelerated wheel loading, with a remarkable 90.65% decrease after 90 000 wheel loads compared with the untreated surface. In the rotating wear test, mass loss was reduced by more than 50 %, following DAP treatment. Additionally, the compressive strength of the PCC increased notably, with a maximum improvement of 15.80 %, accompanied by a rise in surface Leeb hardness (LH). Importantly, the DAP treatment preserved both the friction coefficient and surface texture of the pavement, as evidenced by three-dimensional (3D) texture mapping and field tests. Thermogravimetric analysis (TGA) confirmed the precipitation of HAP on the PCC surface through an in-situ reaction between DAP and calcium-rich minerals, primarily calcite, present in the concrete. Scanning electron microscopy (SEM) analysis revealed a denser microstructure, primarily attributed to the formation of HAP that fills the pores. As a result, significant increases in the average indentation hardness values of the concrete surface were observed after DAP treatment. Overall, this bio-inspired method proves highly effective in enhancing the abrasion resistance of PCC surfaces, thereby significantly extending the service life of PCC pavements.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"22 ","pages":"Pages 410-423"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148545041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of electric vehicles’ strong acceleration performance on traffic safety risks at signalized intersections: a case study in China","authors":"Junhua Wang,&nbsp;Ailin Zheng,&nbsp;Jie Qing,&nbsp;Shuke Xie,&nbsp;Ting Fu,&nbsp;Qiangqiang Shangguan,&nbsp;Lu Dai","doi":"10.1016/j.ijtst.2025.03.007","DOIUrl":"10.1016/j.ijtst.2025.03.007","url":null,"abstract":"<div><div>Electrification has become a major trend in the automotive industry. Compared with traditional fuel-powered vehicles, electric vehicles (EVs) exhibit stronger acceleration performance, which may impact traffic safety risks. The pronounced acceleration capability of EVs is particularly evident at low speeds, with signalized intersections—key components of road networks—facing complex traffic flows and heightened safety risks. Therefore, investigating the impact of EVs’ strong acceleration on traffic safety risks at signalized intersections is crucial for ensuring urban traffic safety. This study utilizes unmanned aerial vehicles (UAVs) and roadside cameras to construct a detailed trajectory dataset, including license plate types and vehicle dimensions. Based on time to collision (TTC) as a fundamental metric and incorporating the risk management quadrant principle, a two-dimensional integrated safety surrogate indicator is proposed, accounting for both collision probability and severity. The study also achieves automated extraction of safety surrogate indicators from trajectory data, quantifying the impact of EVs on traffic safety risks at signalized intersections. Case studies in urban and suburban areas provide a comparative analysis of driving behaviors and interactive safety risks between EVs and fuel-powered vehicles. At a 90% confidence level, the frequency of events where EVs have a higher likelihood of collisions but lower severity is 0.87% higher than that of fuel-powered vehicles, indicating that EVs are more likely to experience low-severity collisions.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"22 ","pages":"Pages 141-158"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148545081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Who took my right-of-way? Human decision-driven modeling of bus lane mixed flow under roadside access interference","authors":"Yan Zhang,&nbsp;Jianhua Li,&nbsp;Yongqing Zhu,&nbsp;Jiming Xie,&nbsp;Bo Peng,&nbsp;Yulan Xia","doi":"10.1016/j.ijtst.2025.05.001","DOIUrl":"10.1016/j.ijtst.2025.05.001","url":null,"abstract":"<div><div>To simulate the traffic operation status of bus lanes with limited road conditions and numerous roadside access points, a cellular automata (CA) model is established to represent mixed traffic flow involving buses and social vehicles influenced by these roadside access points. First, lane change behavior models for social lanes and bus lanes are constructed, respectively, based on the lane change differences exhibited by vehicles in different lanes under mixed traffic conditions. Subsequently, the lane change demand for social vehicles utilizing a bus lane to get in and out of the access points is established based on the distance between the bus lane and the borrowing access points. Finally, the study simulates the operation of a one way three-lane mixed traffic flow, analyzing how various parameters—such as social lane input flow, bus lanes input flow, access points input flow, and borrowing distance—affect the operation of the bus lane under specific traffic conditions. The findings provide recommended values for these parameters to ensure the stable operation of bus lanes. Moreover, the research effectively simulates the interference caused by roadside access points and the impact of borrowing distance, reflecting the genuine demand for lane changes and accurately describing the operational state. This research offers theoretical support for the management and control of bus lanes subjected to special interferences for roadside access points.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"22 ","pages":"Pages 335-354"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148545086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Material-oriented maintenance of railway track using under sleeper pads (USPs)","authors":"Hamidreza Heydari,&nbsp;Jabbar Ali Zakeri,&nbsp;Ali Sina Noori","doi":"10.1016/j.ijtst.2025.01.016","DOIUrl":"10.1016/j.ijtst.2025.01.016","url":null,"abstract":"<div><div>Under sleeper pads (USPs) are an emerging technology that has demonstrated numerous advantages in infrastructures of railway transportation. This review study explores the innovative application of material-oriented maintenance (MOT) using USPs to optimize railway track performance and minimize maintenance costs. Through the integration of USPs with elastic/viscoelastic properties between railway sleepers and the ballast layer, the dynamic and long-life characteristics of the track-train system are enhanced. Key factors such as track deterioration, geometric irregularities, structural defects, and operational conditions play a crucial role in determining the maintenance-oriented effectiveness of USP materials. USPs provide a wide array of benefits, including mitigating track degradation, enhancing lateral and longitudinal resistance, and extending the life of ballast. They address challenges like asymmetric settlements, track defects, and train-induced vibrations, resulting in extended tamping intervals and improved stress distribution. The implementation of USPs significantly extends track maintenance intervals, often doubling their duration. Moreover, these pads are instrumental in reducing railway track maintenance expenses and overall life cycle costs by approximately 10% and 30%, respectively. This research underscores the essential role of USPs in addressing track deterioration, geometric irregularities, structural defects, and operational conditions to ensure the safety, efficiency, and longevity of railway tracks through MOT practices, and to instigate a transformative evolution in maintenance methodologies. The current review study comprehensively explores the USP’s potential, emphasizing maintenance factors, in resiliency and enhancing the railway infrastructure sustainability and maintenance activities.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"21 ","pages":"Pages 256-285"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging multisource data for οff-street parking occupancy prediction: a twofold analysis","authors":"Katerina Vakrinou,&nbsp;Eleni G. Mantouka,&nbsp;Eleni I. Vlahogianni","doi":"10.1016/j.ijtst.2025.02.005","DOIUrl":"10.1016/j.ijtst.2025.02.005","url":null,"abstract":"<div><div>Predictive parking management may have far-reaching implications on network traffic and emissions, but requires high-performance models for predicting parking demand and supply. This paper focuses on developing machine learning (ML) models for accurate network level short-term and long-term off-street parking occupancy prediction for multiple facilities at once. The models were trained using a parking occupancy dataset from four central parking facilities in Athens, Greece, also fed with information about traffic evolution, transit operations, and weather. From the various modeling attempts conducted, the long short-term memory (LSTM) models with attention mechanism achieved the best performance in short-term forecasting while the transformer-based models excelled in long-term predictions. Additionally, Shapley additive explanations (SHAP) values and permutation importance (PI) were computed for all models to provide interpretability by identifying the most influential features, such as loop detectors in arterials leading to the city center and central metro stations, in shaping the model’s predictions. The further analysis of the attention weights indicates that recent past steps play an influential role in short-term forecasting, while long-term predictions show several peaks indicating that they benefit from different time points across the input sequence. Findings of our work can provide applicable solutions for optimizing parking management, enabling demand-responsive strategies, and providing information to users.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"21 ","pages":"Pages 352-371"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discovering impacts of built environment on transit ridership in the post-COVID era: policy intervention and nonlinear dynamics","authors":"Zilu Ding,&nbsp;Enhui Chen,&nbsp;Jing Teng","doi":"10.1016/j.ijtst.2025.02.004","DOIUrl":"10.1016/j.ijtst.2025.02.004","url":null,"abstract":"<div><div>Transit ridership continues to struggle with recovery in the post-COVID era. While previous studies have examined ridership patterns after COVID-19, the collective impact of lifted control policies and built environment factors on ridership recovery remains unclear. This study merges regression discontinuity design (RDD) with random forest (RF), and proposes a hybrid RDD-RF model, to estimate the effects of COVID-related policies, temporal dynamics, and built environment factors on ridership. The model leverages RDD's causal inference (CI) and RF's flexibility to handle complex interactions, enhancing predictive accuracy and interpretability. An empirical analysis in Nanjing, China, using transit data from 2020, 2021, and 2023, shows that reopening policies significantly impact ridership, but rank fourth behind bus routes, station entry/exit points, and restaurants. Commuting and daily life needs are key drivers of recovery. We also identify effective ranges and thresholds for built environment variables, providing targeted strategies to boost transit ridership in the post-COVID era.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"21 ","pages":"Pages 338-351"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of long-term field aging: differential impacts on rheological, chemical, and morphological properties of binders across the lanes of flexible pavement","authors":"Tejeshwini S.,&nbsp;Mamatha K.H.,&nbsp;Dinesh S.V.","doi":"10.1016/j.ijtst.2025.01.002","DOIUrl":"10.1016/j.ijtst.2025.01.002","url":null,"abstract":"<div><div>Field aging is a complicated process wherein the binder ages inevitably due to the synergic effects of temperature, humidity, pressure, ultraviolet (UV) rays, and oxidation that occur in the field, and has a significant impact on the service life of flexible pavements. The study aims to evaluate the differential impacts of long-term field aging on the properties of binders across the lanes of the pavement. Core samples were obtained along the right lane, left lane, and shoulder of an in-service national highway (HH), and binders were recovered from the base and surface layers, respectively. The unaged and field aged binders were subjected to physical, rheological, chemical, and morphological investigations to analyze the effects of aging on their performances. The aging index (AI) evaluated using softening point, and varied from 1.09 to 1.24 across the lanes of pavement that had undergone 9 years of long-term field aging. Rheological investigations unveiled that the rutting resistance of binders enhances whereas the fatigue resistance diminishes with aging which signifies that the binders become stiffer and brittle with aging. The temperature and frequency sweep test results suggest that the base binder sustained severe aging along the right lane of pavement. Conversely, aging is highly pronounced in the surface layer along the shoulder and left lane of pavement due to their varied exposure to speed and traffic volume. The dynamic viscosity gives a measure of binder hardness, and tends to increase with pavement depth along the right lane of pavement, whereas decreases with pavement depth along the shoulder and left lane of pavement. This signifies that binder aging occurs throughout the pavement depth, and is non-uniform across the lanes of pavement. Morphologically, the honeycomb structure of the unaged binder degrades with aging, leading to increased surface area due to the dispersed granular phase within the binder matrix.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"21 ","pages":"Pages 1-30"},"PeriodicalIF":4.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}