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

{"title":"Heuristic and systematic cues in autonomous taxi adoption: a dual-pathway model of affective and cognitive trust","authors":"Kai Fu,&nbsp;Xiaofang Jin,&nbsp;Azizah Omar","doi":"10.1016/j.trf.2026.103759","DOIUrl":"10.1016/j.trf.2026.103759","url":null,"abstract":"<div><div>Autonomous taxis (ATs) represent a major AI-driven mobility innovation, yet public acceptance continues to lag due to concerns over safety, ethical accountability, and trust. This study develops and empirically validates a dual-process trust framework to explain how Chinese consumers form attitudes and adoption intentions toward ATs. Grounded in Dual-Process Theory and the Technology Trust Model, the framework differentiates between heuristic cues (brand signals, aesthetic appeal, social influence, and perceived anthropomorphism) that shape affective trust and systematic cues (algorithmic transparency, perceived safety, institutional trust, perceived control, perceived usefulness, and perceived risk) that shape cognitive trust. Both trust forms jointly drive consumer attitude, which in turn predicts adoption intention. The moderating roles of AI knowledge and consumer involvement in the attitude–intention relationship are also assessed. Survey data from 524 urban consumers were analysed using partial least squares structural equation modelling (PLS-SEM). The results largely support the dual-pathway mechanism and reveal distinct effects of heuristic and systematic cues on affective and cognitive trust. Importantly, AI knowledge negatively moderates the attitude–intention relationship, suggesting that more knowledgeable consumers may evaluate autonomous taxis more critically even when they hold favourable attitudes. By incorporating a human factors perspective, the study further links consumer trust formation to users' cognitive, affective, and perceived physical interaction with autonomous mobility systems. This study advances autonomous mobility research by integrating emotional and rational trust processes into a unified model and offers practical recommendations for enhancing public trust through improved transparency, human-centred design, and calibrated AI-literacy initiatives.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"122 ","pages":"Article 103759"},"PeriodicalIF":5.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148732137","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":"Personality correlates of driving styles: a study using the Alternative Model for Personality Disorders (AMPD)","authors":"Silvana A. Montes,&nbsp;Mario A. Trógolo,&nbsp;Rubén D. Ledesma","doi":"10.1016/j.trf.2026.103770","DOIUrl":"10.1016/j.trf.2026.103770","url":null,"abstract":"<div><div>Personality plays a crucial role in explaining individual differences in driving behavior. However, most studies have relied on traditional personality frameworks, leaving alternative dimensional models largely unexplored. The present study examined domain- and facet-level predictors of driving behavior within the maladaptive trait framework of the Alternative Model for Personality Disorders (AMPD). A non-probabilistic sample of 792 Argentine drivers completed the Personality Inventory for DSM–5 (PID–5), the Multidimensional Driving Style Inventory (MDSI–S), and a self-report measure of specific risky behaviors. Hierarchical multiple regression analyses controlling for sex, age, and driving frequency indicated that risky driving was primarily associated with Disinhibition and Antagonism, whereas aggressive driving was predominantly linked to Antagonism. At the facet level, Risk Taking and Perseveration were most strongly related to risky driving, while Hostility and Callousness characterized aggressive patterns. Notably, Impulsivity and Irresponsibility were negatively associated with the patient style. Complementary multivariate analyses further showed that Disinhibition and Antagonism, were specifically linked to concrete risky behaviors (e.g., cell-phone use, driving under the influence of alcohol, speeding), whereas Detachment was primarily associated with inattentive or disengaged driving patterns (e.g., distraction, multitasking). Overall, the findings highlight externalizing pathology as a key risk factor for maladaptive driving and underscore the incremental value of facet-level analyses in refining personality-based risk profiles, thereby informing more precise prevention and intervention strategies.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"122 ","pages":"Article 103770"},"PeriodicalIF":5.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148732562","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":"Managing practical driving test anxiety: Effects of a brief psychological training program on young candidates","authors":"Federica Biassoni,&nbsp;Paolo Perego,&nbsp;Stefania Balzarotti,&nbsp;Martina Gnerre","doi":"10.1016/j.trf.2026.103703","DOIUrl":"10.1016/j.trf.2026.103703","url":null,"abstract":"<div><div>This study aimed to evaluate the effectiveness of a program specifically designed to address anxiety related to the practical driving test in the Italian context. A total of seventy candidates from a driving school course were selected from a larger group of 250 students based on their high test anxiety scores. These participants were randomly divided into two groups: the experimental group, which received training from a traffic psychologist, and the control group, which served as an active control group condition and received additional driving lessons and a structured session to discuss test-related concerns with a driving instructor. The State Anxiety Scale (STAI) was used to measure anxiety levels three times: before the intervention in both conditions, immediately after, and before the driving test. The results showed that, on the day of the driving test, the psychological training group reported significantly lower state anxiety than the active control group, although their anxiety levels had returned to baseline. These findings suggest that the training may have attenuated the rise in anxiety observed as the examination approached. The study provides preliminary evidence on the effects of a psychological training program relative to an alternative structured training condition in reducing anxiety related to the practical driving test.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103703"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148525998","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":"How cognitive load from visual and auditory non-driving-related tasks affects driver takeover performance differently and interacts with takeover request modalities","authors":"Jinlei Shi,&nbsp;Chunlei Chai,&nbsp;Wei Zhang,&nbsp;Hao Fan","doi":"10.1016/j.trf.2026.103718","DOIUrl":"10.1016/j.trf.2026.103718","url":null,"abstract":"<div><div>Previous studies have examined the effects of various non-driving-related tasks (NDRTs) on takeover performance in automated driving. However, few studies have specifically investigated how cognitive load induced by visual and auditory NDRTs separately affects takeover performance. In addition, the interference effect of NDRT modality on takeover request (TOR) modality remains inconclusive. To address these gaps, we recruited 36 participants to participate in a simulated driving experiment. NDRT modality, cognitive load, and TOR modality were included as independent variables, and the N-back task was used as the NDRT. The results revealed significant interactions between NDRT modality and cognitive load on steering wheel angle, maximum lateral acceleration, and maximum longitudinal acceleration. When drivers performed the visual N-back task during automated driving, steering wheel angle and maximum lateral acceleration during takeover increased significantly with increasing cognitive load, whereas maximum longitudinal acceleration showed an opposite trend. By contrast, when drivers performed the auditory N-back task, no clear differences were observed across cognitive load levels. Furthermore, TOR modality significantly interacted with NDRT modality in influencing takeover time, takeover workload, and perceived TOR usefulness and satisfaction. A cross-modal advantage of TORs relative to NDRTs was also observed. Overall, this study provides insights into the safety management of automated driving and offers implications for the design of TORs in automated driving.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103718"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526060","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":"How does the anthropomorphism of automated vehicles shape human trust? A systematic review and meta-analysis","authors":"Ali Arabian,&nbsp;Saeedeh Mosaferchi,&nbsp;Alireza Mortezapour,&nbsp;Mark Colley,&nbsp;Jordan Navarro,&nbsp;Courtney M. Goodridge,&nbsp;Oscar Oviedo-Trespalacios,&nbsp;Giuliana Vitiello,&nbsp;Alessandro Naddeo","doi":"10.1016/j.trf.2026.103720","DOIUrl":"10.1016/j.trf.2026.103720","url":null,"abstract":"<div><div>Trust is crucial for people to accept automated vehicles (AVs), yet surveys and market data show that many remain skeptical. One approach that has drawn attention is anthropomorphizing AVs–giving them human-like traits such as a voice or a face. However, the true efficacy of this approach remains unclear. As no previous meta-analysis with comparable methodological rigor exists, this study synthesized evidence from 66 studies involving 5903 participants across seven databases to address unresolved questions concerning the relationship between human-like interfaces and trust in AVs. Surprisingly, the results show that simply making AVs more human-like <u>does not significantly increase trust</u> compared to standard interfaces (Standardized Mean Difference, SMD = 0.04, 95% CI [−0.25, 0.33], <em>p</em> = 0.797). However, implementing some human-like interventions could be effective in some specific situations. For example, <u>not all human-like features are equal</u>; while human-like voices demonstrated a small positive effect (SMD = 0.30, 95% CI [0.10, 0.50]), visual anthropomorphic interfaces alone showed no statistically significant effect (SMD = −0.48, 95% CI [−1.19, 0.22]). The depth of anthropomorphism -whether superficial or deep - did not make a significant difference. Interestingly, older participants relied on human-like features more than younger ones. Participants from Eastern cultures in the included studies showed a greater tendency to rely on anthropomorphism to build trust in AVs compared to Western participants. In conclusion, adding human traits alone does not guarantee increased trust in AVs. Future research should explore how this approach compares to others, such as improving explainability. For stakeholders, the key lesson is clear: the impact of anthropomorphic interfaces on trust is not as straightforward as it might seem.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103720"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526107","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":"Trust and women's perceived safety in driverless versus traditional ride-hailing: The role of perceived environmental safety","authors":"Guanqiu Qi,&nbsp;Xin Zhang,&nbsp;Yi Xiao,&nbsp;Yanfeng Liu","doi":"10.1016/j.trf.2026.103728","DOIUrl":"10.1016/j.trf.2026.103728","url":null,"abstract":"<div><div>Although driverless ride-hailing (DRH; also known as robotaxis) may be associated with lower interpersonal safety concerns for women because the in-vehicle driver is removed, it also introduces uncertainty about automated driving performance and digital security. Drawing on trust theory and risk perception perspectives, this study examines the association between trust and women's perceived safety in DRH and traditional ride-hailing (TRH), tests whether perceived environmental safety (PES) conditions this association, and evaluates whether it differs by prior ride-hailing victimisation. Survey data from 631 women in three Chinese megacities were analysed using partial least squares structural equation modelling and multigroup analysis. Trust was positively associated with perceived safety in both services, with a stronger association in DRH than in TRH. Perceived privacy and cybersecurity protection showed the strongest association with trust, followed by cognitive safety and emotional safety. The negative PES × trust interaction indicated a weaker trust–perceived-safety association at higher PES, consistent with a trust-compensation pattern in which trust was most salient when women travelled alone at night or in remote or unfamiliar settings. Among DRH users, the trust–perceived-safety association was stronger for those reporting prior victimisation. Overall, the findings point to privacy-by-design principles and context-aware safety features as potential considerations for gender-responsive robotaxi policy and service design.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103728"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148525937","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":"Music behind the wheel: effects of tempo, style, and preference on driving safety","authors":"Ying Zhou,&nbsp;Weina Qu,&nbsp;Yan Ge","doi":"10.1016/j.trf.2026.103730","DOIUrl":"10.1016/j.trf.2026.103730","url":null,"abstract":"<div><div>Listening to music while driving is a common in-vehicle behavior, yet existing studies have reported conflicting findings regarding its impact on driving safety. This study aims to comprehensively investigate how listening to music affects driving safety, with particular attention to music preference and the musical attributes of style and tempo. A mixed experimental design was adopted, and data were collected from 32 drivers with different music preferences during simulated driving tasks under multiple musical conditions. Both objective driving measures and subjective emotional ratings were analyzed. The results showed that, under rock music, drivers traveled significantly faster, demonstrated greater car-following coherence, and reported higher arousal. Music tempo significantly differentiated driving behavior, with medium- and fast-tempo conditions associated with higher arousal and faster driving speed than slow-tempo conditions. In addition, among rock-preferring drivers, speed variability was significantly greater when they listened to their preferred rock music, indicating poorer driving stability. However, compared with the no-music condition, these drivers showed less speeding under the slow-rock and fast-rock conditions. Overall, the findings suggest that music tempo mainly influences emotional experience, whereas music style more strongly affects vehicle control. Music preference also played an important moderating role, highlighting the importance of individual differences in understanding music-related driving effects.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103730"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526001","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":"Pedestrian pushbutton use, signal compliance, and visual attention at signalized intersections","authors":"Amy Wyman,&nbsp;Hisham Jashami,&nbsp;David Hurwitz,&nbsp;Masoud Ghodrat Abadi","doi":"10.1016/j.trf.2026.103727","DOIUrl":"10.1016/j.trf.2026.103727","url":null,"abstract":"<div><div>The underlying factors governing why pedestrians interact with pedestrian signals and pushbuttons the way they do can inform design guidance and modifications which encourage pedestrians to use infrastructure more safely and efficiently. Therefore, a recruited participant experiment using eye tracking technology was performed to explore pedestrian signal compliance and pushbutton use. A total of 48 participants completed diagonal and adjacent crossings through three intersections in Corvallis, Oregon, USA with varying infrastructure characteristics. Visual fixations on traffic signals, pedestrian signals, pushbutton signage, and pushbuttons were recorded and analyzed. Participants crossed against the WALK signal (jaywalked) in about 14% of crossing tasks and were more likely to cross against the WALK signal on a diagonal crossing. Pushbutton use varied between 79% and 88%, depending on location. Those participants who pressed a pushbutton allocated a greater amount of visual attention to pedestrian signals and traffic signals earlier in their approach to the pushbutton pole starting 10 to 11 s before button press, with fixations on pushbuttons and pushbutton signage increasing around 5 s before button press. Participants also attended to signage to make correct button presses—particularly at a location where two pushbuttons were co-located on one pole and pushbutton orientation was inconsistent within the intersection configuration. Field experiment and follow-up survey data suggest that separating pushbuttons on different poles and maintaining consistent pushbutton orientation can encourage more efficient use of pedestrian push buttons.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103727"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526007","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 safety climate perceptions in the central symptoms of anxiety and depression among road coach drivers based on network analysis","authors":"Yanru Zhou,&nbsp;Xuesong Wang,&nbsp;Andrew Morris,&nbsp;Yujun Jiao,&nbsp;Jianguo Gong,&nbsp;Jianan Zhu,&nbsp;Hui Zhao,&nbsp;Huixin Zhang","doi":"10.1016/j.trf.2026.103709","DOIUrl":"10.1016/j.trf.2026.103709","url":null,"abstract":"<div><div>Coach drivers are vulnerable to psychological distress due to long work hours, job stress, and organizational constraints. The safety climate, which includes drivers' perceptions of organizational safety practices, is associated with drivers' anxiety and depression. However, the relationships among safety climate, physical health, and psychological health remain underexplored among coach drivers in China. This study examines how safety climate is associated with central symptoms of anxiety and depression and examines the associations of safety climate and physical health (insomnia, medical history and medication usage) with psychological outcomes. The study included 3417 drivers from multiple transport companies in Guangdong Province, China. A three-step analytical approach was applied, including latent profile analysis to identify safety climate classes and predictors, network analysis to detect central symptoms, and a directed acyclic graph model to examine conditional dependencies. Results showed that: (a) safety climate varied by age, gender, driving route scope, and years of employment, with fleet-level management playing a key role; (b) “irritability” and “self-reported suicidal thoughts” were bridge symptoms, while “restlessness” and “uncontrollable worry” were potential intervention targets; (c) a data-consistent pattern of conditional dependencies connected safety climate, medical history, insomnia symptoms, and central psychological symptoms; and (d) “trouble sleeping,” “trouble relaxing,” and “restlessness” were central to the symptoms associated with self-reported suicidal thoughts. These findings highlight the importance of organizational factors in relation to the psychological health of coach drivers and provide evidence to inform the development of targeted interventions aimed at improving safety climate and reducing psychological risks.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103709"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526058","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":"Examining risky riding behaviours among food delivery riders: A systematic literature review","authors":"Mohit Kumar Thakrey,&nbsp;Pushpa Choudhary,&nbsp;Indrajit Ghosh,&nbsp;Nagendra Rao Velaga","doi":"10.1016/j.trf.2026.103695","DOIUrl":"10.1016/j.trf.2026.103695","url":null,"abstract":"<div><div>Online food delivery services have become highly popular in recent years, leading to concerns about Food Delivery Riders' (FDRs) safety, health, and welfare. Human factors are found as the primary contributing factor in approximately 94% of riders' crashes. Therefore, the aim of the present study is to conduct a comprehensive systematic review of the literature on risky riding behaviour of FDRs, with a focus on understanding the prevalence of various risky riding behaviours and their influencing factors. Studies were searched in seven databases, and after systematic screening, 57 articles were included in the final review. Findings indicate that most of these studies are geographically concentrated in Asian countries and have utilized questionnaire surveys. The following risky behaviours are consistently observed among FDRs: <em>Violations and Errors</em>. In particular, speeding, wrong-way riding, red-light violation, mobile phone use, tailgating, etc., are found to be dominant behaviours. Subsequently, various factors affecting risky behaviours of FDRs are examined, including <em>(a)</em> sociodemographic factors, <em>(b)</em> work-related factors, <em>(c)</em> attitudinal, cognitive, and psychological factors, and <em>(d)</em> environmental, infrastructural, and other contextual factors. Sociodemographic factors and work-related factors, including age, gender, income, job demands, job resources, service experience, daily working hours, etc., are found to have a significant impact on risky behaviours of FDRs. Importantly, this study serves as a valuable resource for researchers, highlighting existing research gaps and offering recommendations for future research to reduce risky riding behaviours among FDRs. Additionally, the findings provide actionable insights to transportation professionals toward improving the safety of FDRs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"121 ","pages":"Article 103695"},"PeriodicalIF":5.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148526112","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}