Tarrahan Parseh Transportation Research Institute International Journal of Transportation Engineering 2322-259X 13 3 2026 01 01 Investigation of the Skid Resistance and Mechanical Properties of Concrete Based on Aggregate Characteristics and Cement-Paste Film Parameters 2253 2275 236806 10.22119/ijte.2025.554837.1715 EN Nasrin Karimi Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran Abolfazl Arabzade Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran Seyedehsan Seyedabrishami Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran 0000-0002-9301-5417 Journal Article 2025 10 24 Maintaining pavement friction under wet conditions requires surface textures that withstand traffic-induced polishing and wear. This study evaluates how the coordinated adjustment of maximum aggregate size (MAS), aggregate gradation, packing density, paste film thickness (PFT), and mortar film thickness (MFT) governs skid resistance in slip-formed concrete pavements. Twenty mixtures were produced with Modified Fuller–Thompson exponents (0.67, 0.55, 0.45, 0.35) at MAS = 9.5, 12.5, 19, 25, and 37.5 mm. Tests included slump and Box Test, wet packing density, PFT/MFT, compressive and flexural strength, EN 1338 abrasion, ASTM E303 British Pendulum Number (BPN), Mercury Intrusion Porosimetry (MIP), and Scanning Electron Microscopy (SEM) of the Interfacial Transition Zone (ITZ). The results indicate that mixtures with MAS = 19–25 mm provided the best overall balance—higher compressive and flexural strengths, BPN typically ≥ 65, and lower abrasion rates. The study indicates that coordinating packing density with PFT and MFT—within a compatible gradation—enhances mechanical properties as well as skid resistance.

http://www.ijte.ir/article_236806_af35d7ea27e2f4545083701ee2905465.pdf

Tarrahan Parseh Transportation Research Institute International Journal of Transportation Engineering 2322-259X 13 3 2026 01 01 What Drives Students to Use Shuttle Services? Exploring Preferences and Behavior 2277 2290 236023 10.22119/ijte.2025.532608.1701 EN Amirhossein Baghestani Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Tehran, Iran Sahand Heshami Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Tehran, Iran Maryam Delkhak Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Tehran, Iran Alireza Mahpour Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Tehran, Iran Journal Article 2025 07 05 Shuttle services have become an increasingly popular mode of transportation, particularly in areas where direct access to public transit is lacking. This study focuses on the utilization of shuttle services at Abbaspoor University in Tehran, Iran, and aims to identify the key determinants of students' willingness to use these services. A stated preference survey was conducted to gather data on student preferences, with the questionnaire divided into three sections: socio-economic information, travel behavior, and stated preference scenarios. The survey results were analyzed using a binary logit model to assess the impact of various factors on the adoption of shuttle service. Findings indicate that shuttle services are instrumental in reducing reliance on private vehicles and alleviating traffic congestion. The binary logit model results show that students who commute by metro are 33% more likely to use the shuttle, while car ownership decreases the probability of shuttle adoption by 9%. Moreover, increasing shuttle headways significantly reduces the likelihood of use: from –0.11 at 15 minutes to –0.42 at 60 minutes, underscoring the critical role of service frequency. The model achieved a prediction accuracy of 71% with a McFadden’s ρ² of 0.225, indicating a satisfactory fit. The study provides valuable insights for the design and implementation of shuttle services in university settings, particularly in developing countries with limited public transportation infrastructure. The results underscore the importance of strategically located shuttle stops and highlight the role of shuttle services in enhancing accessibility, equity, and sustainability within the broader transportation ecosystem.

http://www.ijte.ir/article_236023_ddd50602408e870cfefeed99170dd8af.pdf

Tarrahan Parseh Transportation Research Institute International Journal of Transportation Engineering 2322-259X 13 3 2026 01 01 Roundabout Capacity: Investigating the Impact of the Weaving Length and Entry/Exit Radii with AIMSUN 2291 2306 181129 10.22119/ijte.2023.405042.1640 EN Elham Bayazidi School of Built Environment, Faculty of Engineering, Islamic Azad University Central Branch, Tehran, Iran Mahmoud Saffarzadeh Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran 0000-0002-9713-2776 Hooman Rahimi Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran Journal Article 2023 07 05 Roundabouts are recognized as effective traffic management solutions, offering advantages such as improved safety and reduced congestion compared to signalized intersections. However, exceeding the roundabout's capacity can result in decreased efficiency and safety. The capacity of a roundabout depends on various factors, including traffic flow rates, geometric design parameters, and traffic flow characteristics. This study investigates the influence of weaving length, entry radius, and exit radius on the capacity of a roundabout in Sanandaj, utilizing AIMSUN traffic simulation software. Statistical and computational methods are applied to analyze data obtained from parameter analysis. The findings emphasize that imbalanced dimensions and a limited perspective in transportation network design contribute to traffic congestion. Consequently, comprehensive consideration of geometric and behavioral aspects of users within the transportation network is crucial when designing roundabouts. This analytics-driven study provides valuable insights and patterns, enabling the development of original content that surpasses existing research, ultimately facilitating the identification of areas for improvement and effective decision making.

http://www.ijte.ir/article_181129_67881debf9ab4e1124265571a7573b1d.pdf

Tarrahan Parseh Transportation Research Institute International Journal of Transportation Engineering 2322-259X 13 3 2026 01 01 Effect of Myers-Briggs Personality Dimensions on High-Risk Driving Behaviors and Number of Accidents 2307 2323 232592 10.22119/ijte.2025.487924.1677 EN Shahab Hasaninasab Assistant Professor Highway and Transportation Engineering, Razi University, Kermanshah, Iran 0000-0002-9134-3732 Sajjad Jalili MA of Highway and Transportation, Razi University, Kermanshah, Iran Mohsen Zahedi Assistant Professor Highway and Transportation Engineering, Razi University, Kermanshah, Iran Journal Article 2024 11 12 Traffic accidents and physical and financial casualties are a serious and global problem. The human, the road, the vehicle, and the environment are the four causes of traffic accidents, and among them, the most effective factor is the human factor. Therefore, in the field of traffic safety, social science studies, in particular, psychology and driver studies, are necessary. The main purpose of this study was to investigate the relationship between personality dimensions of Myers-Briggs personality test on high-risk driving behaviors and the number of accidents. The population of the study consisted of all Razi University students who hold a driving license. Using the Cochran formula, 361 samples were obtained and selected by the available sampling method. The research tool is a questionnaire consisting of three sections: demographic questions, a researcher-made questionnaire on high-risk driving behaviors, and a Myers-Briggs personality test. Confirmatory factor analysis and structural equations were used to confirm the research hypotheses and questions. Amos software was used for data analysis. Increasing Personality Preferences (Extrovert, Intuitive, Perceiver) Increases Risk Driving Behaviors, and with increasing personality preferences (Introvert, Sensor, and Judger) the number of risky driving behaviors decreases. According to the results people with personality preferences (extrovert, intuitive, and Perceiver) have the highest number of high-risk driving behaviors and the number of crashes As well as people with personality preferences (Introvert, Sensor, and Judger), they have the least number of high-risk driving behaviors and the least number of crashes.

http://www.ijte.ir/article_232592_5b6758293f9fca983b57eb3f929ba3ed.pdf

Tarrahan Parseh Transportation Research Institute International Journal of Transportation Engineering 2322-259X 13 3 2026 01 01 Presentation of a Multiple Regression Model to Determine the Distance of Primary Arterial Roads and Building Density in a Radial-Circular Network 2325 2345 231025 10.22119/ijte.2025.509305.1690 EN Gholamali Behzadi Assistant Professor, Faculty of Civil Engineering, Shomal University, Amol, Iran 0009-0004-4035-8207 Zeinab Mohammadi PhD Student of Civil Engineering Faculty, Shomal University, Amol, Iran 0009-0000-4857-1409 Journal Article 2025 03 01 The form of urban networks plays a crucial role in the efficiency of traffic flow. Small deficiencies in the geometric design or spatial distribution of arterial networks can disrupt traffic continuity, reduce operational efficiency, and lead to increased congestion in urban transportation systems. The distance between roads with different functions is one of the most significant parameters affecting traffic in urban networks. Therefore, in this study, a radial-circular network was designed with primary arterial roads at varying distances (800 and 1200 meters) and building densities ranging from 100% to 250%. Using AIMSUN software, the network was simulated, and traffic parameters were extracted. Subsequently, a predictive model was developed using multiple regression analysis, with primary arterial road distance as the dependent variable and building density and traffic parameters as independent variables. The results indicated that the final model achieved a distance prediction accuracy of 0.949 for primary arterial roads. The variables of density (with a negative influence), stop time, operational speed, and queue length had a significantly greater impact on predicting the functional distance of primary arterial roads. Specifically, higher building density is associated with a decrease in the optimal spacing of these roads, whereas longer stop times and greater queue lengths contribute to increased spacing requirements. Moreover, an increase in land use density and the functional distance of roads leads to a higher increase in vehicle queue length, particularly in the three-ring network with a distance of 800 meters between roads. Additionally, as similar values increase, the stop time of vehicles also rises.

http://www.ijte.ir/article_231025_51aa4c1d210b8b9a0e39217845798776.pdf

Tarrahan Parseh Transportation Research Institute International Journal of Transportation Engineering 2322-259X 13 3 2026 01 01 Hub Location Problem in Public Transport, Considering Potential Hubs Establishment: A Bi-Objective Approach 2347 2371 232593 10.22119/ijte.2025.512838.1692 EN Alireza Eydi Professor, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran Hasan Moradgholi MSC of Industrial Engineering, University of Kurdistan, Sanandaj, Iran Maedeh GholamAzad Postdoctoral Researcher, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran Journal Article 2025 04 17 The hub location problem in public transport focuses on strategically placing transport hubs to enhance service delivery and operational efficiency. Rising urban populations and transportation demands necessitate effective public transport systems. The challenge is to identify optimal locations for new hubs while balancing objectives like minimizing operational costs and minimize maximum passenger travel time. This study proposes a bi-objective model that selects potential hub locations from an interurban public transport network using the Multi-Criteria Decision-Making (MCDM) method of TOPSIS. The first objective is to minimize transportation costs, hub construction costs, and route creation costs, while the second aims to minimize maximum passenger travel time. Given that this problem is NP-hard, the Lagrangian Relaxation (LR) algorithm is employed for medium and large network sizes, with computational results provided. The proposed method is validated using Mandl's and Sioux Falls network data, which are standard benchmark datasets in transportation and network optimization. Results indicate that the algorithm effectively determines optimal hub locations. This approach can be adapted for specific parameters, bringing the problem closer to real-world conditions and uncertainties.

http://www.ijte.ir/article_232593_fea0125ecc2bf266a5cd1d9b893a9dde.pdf