Transportation Research Part F-Traffic Psychology and Behaviour最新文献

{"title":"Social values behind the wheel: How does social value orientation shape speeding behaviour across drivers in Europe?","authors":"Amir Hossein Kalantari,&nbsp;Amna Chaudhry,&nbsp;Mark Burke,&nbsp;Ana María Pérez-Zuriaga,&nbsp;Apostolos Ziakopoulos,&nbsp;Eleonora Papadimitriou,&nbsp;Shanna Lucchesi,&nbsp;Amir Pooyan Afghari","doi":"10.1016/j.trf.2026.103710","DOIUrl":"10.1016/j.trf.2026.103710","url":null,"abstract":"<div><div>Speeding can be conceptualised as a social dilemma shaped by road and traffic conditions, enforcement, and individual psychological differences. Yet most studies have overlooked how such differences condition drivers' responses to speed-management cues. We examined drivers' speeding propensity across urban scenarios in the West Midlands (WM), Athens, and Valencia, focusing on Social Value Orientation (SVO) and its moderating role. Random-parameters ordered probit models with heterogeneity in the means were used to capture unobserved heterogeneity and systematic variation linked to driver traits. Results show that road design, traffic density, and speed enforcement are associated with self-reported speeding, but these associations vary across contexts and drivers. SVO-related moderation was clearest in the WM, where stronger prosocial orientation weakened the links between behavioural-risk constructs and self-reported speeding and increased sensitivity to traffic and road-design conditions. In Athens, the pattern differed, with stronger prosocial orientation mainly strengthening the link between speeding tendencies and speeding propensity. In Valencia, SVO-related evidence was more selective and less pervasive. Age also moderated these relationships: in Athens, speed cameras were more strongly associated with lower stated speeding among older drivers, while in the WM and Athens the links between behavioural-risk constructs and stated speeding generally weakened with age. Overall, engineering and enforcement measures were not associated with stated speeding uniformly across drivers or study contexts. Speed-management strategies may therefore be more effective when physical design and enforcement are paired with communication that presents speed limits as credible, locally relevant, and clearly connected to the safety of other road users.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103710"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “EXID: Development and validation of the experienced impact of disruptions scale” [Trans. Res. Part F: Traffi. Psychol. Behav. 116 (2026) 103418]","authors":"Marloes Vredenborg,&nbsp;Marit Bentvelzen,&nbsp;Anouk van Kasteren,&nbsp;Christine Bauer,&nbsp;Judith Masthoff","doi":"10.1016/j.trf.2026.103731","DOIUrl":"10.1016/j.trf.2026.103731","url":null,"abstract":"","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103731"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying neuropsychological correlates of driving performance in older adults: Findings from the ROADSAFE study","authors":"K.B. Stefanidis,&nbsp;G.S. Larue,&nbsp;M.S. Horswill,&nbsp;A. Hill,&nbsp;M.J. Summers","doi":"10.1016/j.trf.2026.103723","DOIUrl":"10.1016/j.trf.2026.103723","url":null,"abstract":"<div><h3>Aims/objectives</h3><div>Previous research has identified a need for standardised assessment tools for assessing cognitive fitness to drive, given the increasing ageing population and emergence of age-related conditions that can ultimately affect driving and crash risk. This study examined whether neuropsychological test measures that have previously demonstrated sensitivity to subclinical changes in cognition arising from mild cognitive impairment correlate with measures of driving capacity (assessed via a hazard perception test [HPT] and driving simulator) in older adults.</div></div><div><h3>Methods</h3><div>A total of 216 older adults with a mean age of 72 years (<em>SD</em> = 6.62; range 60–92 years) completed a comprehensive neuropsychological assessment battery, a HPT and simulated driving tasks. The relationships between neuropsychological test measures and driving performance metrics were examined.</div></div><div><h3>Results/discussion</h3><div>Poorer sustained attention (measured by the Cambridge Automated Neuropsychological Assessment Battery; CANTAB; Rapid Visual Processing accuracy) was associated with slower response latencies on the HPT. Further, lower visuo-spatial working memory (measured by the CANTAB subtest Spatial Span) was associated with slower speeds. Finally, greater response time variability during the subtest Five-Choice Reaction Time (a divided attention task) was associated with greater variability in headway distance. Small-to-moderate magnitude effects were observed. These findings represent an important starting point for developing screening tools for assessing cognitive fitness to drive.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103723"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cybersecurity, safety and data sharing in transport: A user-centred perspective","authors":"William Payre,&nbsp;James Blundell","doi":"10.1016/j.trf.2026.103705","DOIUrl":"10.1016/j.trf.2026.103705","url":null,"abstract":"<div><div>The present editorial introduces the special issue <em>Cybersecurity, Safety and Data Sharing in Transport: A User-Centred Perspective</em>. Through eight contributions, it brings together insights from transport psychology, behavioural science, cybersecurity modelling, and transportation engineering. Collectively, the corpus of papers explores how individuals perceive cybersecurity risks, how drivers engage in protective cybersecurity behaviours, and how human responses influence the safety and operational consequences of cyberattacks in connected mobility systems.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103705"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Road rage in the digital age: social media, sleep, and aggressive driving","authors":"Danya M. Serrano,&nbsp;Patrick S. Williams","doi":"10.1016/j.trf.2026.103719","DOIUrl":"10.1016/j.trf.2026.103719","url":null,"abstract":"<div><div>Research indicates that road rage is widespread, with nearly 92% of Americans reporting that they have witnessed such incidents and 89% stating that they have been victims of aggressive driving behaviors. In recent years, advances in technology may have given rise to new psychological antecedents of driving anger and aggressive driving. One potential factor is problematic social media use (PSMU). Although existing literature has established links between PSMU and aggression, and identified sleep disturbance as a mediator, no studies identified to date have explored whether these findings extend to the domain of driving anger. To address this gap, we surveyed 227 adult drivers (mean age = 30 years; 74% female; 50% Hispanic) to examine the predictive role of PSMU and the mediating role of sleep disturbance in driving anger, the expression of driving anger, and adverse driving-related incidents. Findings indicated that PSMU was significantly and positively related to driving anger. Moreover, sleep disturbance significantly mediated the effect of PSMU on driving anger caused by traffic delays, and on several forms of driving anger expression (e.g., verbal, and physical aggression) and driving incidents (e.g., accidents and close calls). Findings suggest that interventions aimed at reducing PSMU may reduce anger and aggression while driving. Moreover, sleep quality assessments could be integrated into driving safety programs or interventions for angry drivers. At the societal level, these findings point to the importance of social media involvement and sleep quality not only as public health concerns but also as factors in traffic safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103719"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Loud vehicle exhaust: An expression of identity, speed, or psychopathy?","authors":"Carson J. Wiebe,&nbsp;Alexander Rossell Hayes,&nbsp;Julie Aitken Schermer","doi":"10.1016/j.trf.2026.103722","DOIUrl":"10.1016/j.trf.2026.103722","url":null,"abstract":"<div><h3>Objective</h3><div>Initial research into the personality traits of people who like vehicles with loud exhaust revealed positive associations with subclinical psychopathy and sadism. The present study revisits these findings with a larger sample. Additionally, this study tests for positive associations between liking loud exhaust and two other attitudes: viewing vehicles as part of identity (self-concept) and an appreciation for fast vehicles.</div></div><div><h3>Methods</h3><div>American adult (<em>N</em> = 1147; 54.1% women) volunteers completed an online self-report survey answering questions about their attitudes regarding vehicles as well as completing an assessment of dark personality traits.</div></div><div><h3>Results</h3><div>Correlation and multiple regression analyses indicated that an appreciation for fast vehicles had the strongest association with liking loud vehicles (β = 0.335). Additionally, being young (β = −0.128), viewing one's vehicle as part of one's identity (β = 0.151), and scoring higher on psychopathy (β = 0.113) and sadism (β = 0.101) positively predict appreciating loud vehicles, all accounting for approximately 29% of the variance (<em>R</em>² = 0.30, adjusted <em>R</em>² = 0.29).</div></div><div><h3>Conclusion</h3><div>Supporting earlier results, this study suggests that even among other variables, dark personality traits significantly predict a preference for a loud vehicle. Because loud vehicles are illegal in multiple jurisdictions, deterrence for individuals scoring higher in psychopathy and sadism could be challenging, with fines potentially being more effective than affective appeals. Further research could reduce the imprecision around the concept of loudness.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103722"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risky driving behavior profiles based on three years of a nationally representative survey: A latent class analysis","authors":"Austin M. Svancara,&nbsp;Woon Kim,&nbsp;Xi Zhang,&nbsp;Rebecca Steinbach","doi":"10.1016/j.trf.2026.103725","DOIUrl":"10.1016/j.trf.2026.103725","url":null,"abstract":"<div><div>While past studies have provided estimates as to the prevalence of various risky driving behaviors, there is a need to better understand the relationship between risky driving behaviors. The present study had a large sample (6751 participants) self-report whether they engaged in fourteen risky driving behaviors (e.g., distracted driving, speeding, aggressive driving, and impaired driving). These behaviors were explored using a latent class analysis approach (LCA). Six unique driving profiles were identified and interpreted as: Safe Drivers (37.3%), Distracted Drivers (15.3%), Speeding Drivers (24.6%), Distracted &amp; Aggressive Drivers (15.4%), Tired &amp; Aggressive Drivers (4.3%), and Most Dangerous Drivers (3.1%). The population distributions of the five risky driving profiles were compared to Safe Drivers in terms of age, gender, education, region, and experienced crashes. While broad group differences were found on each characteristic, the pattern was unique for each risky driving profile. Furthermore, only the Most Dangerous Drivers were more likely to have reported experiencing a motor vehicle crash than the Safe Drivers when controlling for other characteristics in a sensitivity analysis. Implications of findings are discussed.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103725"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148525936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Driving behavior experiments using functional magnetic resonance imaging: A systematic review","authors":"Homayoun Sadeghi-Bazargani,&nbsp;Razieh Abdolrahmanzadeh,&nbsp;Melika Ahmadi Bonabi,&nbsp;Sepita Taghizadeh,&nbsp;Sama Rahnemayan,&nbsp;Mahshad Narimani,&nbsp;Morteza Ghojazadeh","doi":"10.1016/j.trf.2026.103726","DOIUrl":"10.1016/j.trf.2026.103726","url":null,"abstract":"<div><div>Driving a vehicle requires complex brain functions, including attention, motor coordination, and decision-making. Human factors are the main cause of 93% of crashes. Nowadays, it is possible to scan the brain using functional magnetic resonance imaging (fMRI) while performing driving-related tasks, often in simulated environments. This study tries to provide a comprehensive review of the application of brain fMRI in the field of driving behavior. Scopus, PubMed, and Google Scholar were searched until September 2025. Original articles that studied driving using fMRI were included. Screening and selection followed PRISMA guidelines. Seven major topics were identified. For each topic, a unique extraction table was designed. The objectives, participant characteristics, task design, outcome measurements, and behavioral findings were extracted. The final 80 original studies were included. Seven major topics, including distracted driving, intoxicated driving, risk-taking behavior while driving, simulated driving with brain impairment, drivers' physiological state, general brain activity while driving, and simulated driving environment and simulator characteristics, were identified. fMRI studies suggest the involvement of dynamic brain networks underlying driving behavior, influenced by cognitive load, impairment, and environment. Across domains, driving impairment appears to emerges as a network-level phenomenon characterized by disrupted executive control, altered reward valuation, and reduced visuospatial predictive processing. We interpret these findings within Menon's triple network framework, in which driving impairment is characterized as a disruption in the dynamic interactions among the central executive, salience, and default mode networks. Future studies should work on driving environment effects and overcoming methodological constraints of fMRI for more realistic simulation.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103726"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perception and response of cyclists interacting with autonomous electric vehicles - a virtual reality study","authors":"Yixin Sun,&nbsp;Haneen Farah,&nbsp;Yan Feng","doi":"10.1016/j.trf.2026.103707","DOIUrl":"10.1016/j.trf.2026.103707","url":null,"abstract":"<div><div>Autonomous electric vehicles (AEVs) will increasingly characterize future motorized traffic in urban areas. These vehicles are often silent and can be driverless. Therefore, understanding the interactions between these vehicles and vulnerable road users (VRUs) is crucial for traffic safety. This study explores the impact of an additional auditory alert system and external human-machine interfaces (eHMIs) on AEVs on cyclists' interaction behavior, comfort, and safety under varying vehicle–signal conditions and environmental noise levels. This study employed immersive Virtual Reality (VR) technology to simulate cycling across 18 traffic scenarios, using a within-subjects design with 40 participants. These scenarios included two vehicle types: autonomous conventional vehicles (ACVs) and autonomous electric vehicles (AEVs), two levels of ambient noise levels (quiet residential areas; noisier streets), and three levels of eHMI signal trigger distances (15, 20, 25 m). Data regarding cycling behavior (e.g., response distance, speed variation, gaze direction) and cyclists' perceptions (e.g., realism, simulator sickness, presence, trust, and perceived safety) were collected through VR and post-experiment questionnaires, respectively. We found that compared to vehicles equipped only with an eHMI, AEVs with auditory alerts significantly enhanced cyclists' perceptions and responses, with cyclists detecting the vehicles earlier and responding faster. Subjective feedback also indicated a stronger sense of safety and comfort, such as smoother deceleration that indicated natural responses and reduced stress. Participants also reported a more comfortable interaction experience with AEVs with auditory alerts. These findings provide evidence that equipping AEVs with additional auditory alerts improves the safety and comfort of cyclists in their interactions with AEVs in urban environments. Therefore, policymakers are advised to consider this when setting regulations for the deployment of AEVs in urban areas.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103707"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of employment mode and law enforcement perception in risky behaviour among truck drivers","authors":"Huixin Zhang,&nbsp;Xuesong Wang,&nbsp;Xiaomeng Wang,&nbsp;Yueng-hsiang Huang","doi":"10.1016/j.trf.2026.103713","DOIUrl":"10.1016/j.trf.2026.103713","url":null,"abstract":"<div><div>Amid the global trend toward flexible work, temporary employment in the trucking industry has increased, which poses traffic safety risks. This study examines how employment mode and law enforcement perception impact truck drivers' risky driving behaviours through the lens of safety climate and safety cognition. Using a questionnaire survey of 3655 Chinese truck drivers, Structural Equation Modelling (SEM) and Bootstrap tests validated a multiple-chain mediation model. The results show that (1) stably employed drivers have better traffic safety climate and the highest safety cognition, while the temporarily employed drivers exhibit more risky behaviours. (2) The employment mode and law enforcement perception affect risky driving behaviour mainly through chain mediation. Temporary employment reduces safety climate and then safety cognition, while positive law enforcement perception enhances both to suppress risks. (3) Three cognition-behaviour models were identified, with high-level traffic safety climate and safety cognition offsetting temporary employment's negative effects. Theoretically, this study integrates structural (employment and management) and psychological (cognition and climate) factors, validating the “employment-regulation-cognition-behaviour” mechanism. It also informs targeted cognitive interventions for enterprises and differentiated law enforcement.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103713"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}