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

{"title":"Effects of rearward countdown timers at highly automated shuttle buses to announce departing","authors":"Silvio Hess ,&nbsp;Ann-Christin Hensch ,&nbsp;Matthias Beggiato ,&nbsp;Josef F. Krems","doi":"10.1016/j.trf.2025.103379","DOIUrl":"10.1016/j.trf.2025.103379","url":null,"abstract":"<div><div>Integrating highly automated shuttle buses (HASB) into today’s road traffic promises benefits regarding traffic efficiency and accessibility. However, one challenge is the implementation of adequate interaction concepts with other traffic participants to ensure safe and comfortable encounters with HASBs. In the present study, the interaction concept to announce the HASB’s departure from a bus stop was examined with regard to the predictability of the HASB’s upcoming driving actions and the characteristics of HASB stop situations. Future potential on-demand HASB stops may require additional information provided to surrounding traffic participants by the HASB itself. The conventional interaction concept currently applied to signal departure, mainly via turn indicators, provides merely few and less detailed information. Therefore, the concept of the countdown timer (CDT) as rearward external HMI at HASBs was introduced and evaluated. CDTs provide information with high temporal precision and potentially well in advance, as HASBs usually have this information in their programmed route planning. In an experimental online study, 148 participants assessed three interaction concepts (conventional, CDT with complementing text, CDT with complementing icon) from two perspectives (following driver, pedestrian on the way to the HASB) concerning understanding/predictability, perceived interaction comfort, and acceptance. As additional behavioural measurements, participants indicated their overtaking behaviour as a following driver and behaviour when approaching the HASB as a pedestrian for each interaction concept. Results revealed for all dependent variables that participants preferred the CDT as interaction concept compared to the conventional interaction concept from both perspectives, with higher ratings for the CDT complemented with text. Behavioural measures indicated that following drivers initiate overtaking manoeuvres earlier and, therefore, faster but also choose larger and, therefore, safer time gaps when initiating overtaking manoeuvres behind a stopped HASB with a CDT. CDTs also supported pedestrians in achieving more correct assumptions regarding the reachability of the HASB. Overall, CDTs as rearward external HMIs proved to be a promising approach for safer and more comfortable interactions at HASB stops.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103379"},"PeriodicalIF":4.4,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222906","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":"User acceptance of solar vehicles for passenger mobility","authors":"Stijn van den Hurk,&nbsp;Aloys Borgers,&nbsp;Feixiong Liao","doi":"10.1016/j.trf.2025.103398","DOIUrl":"10.1016/j.trf.2025.103398","url":null,"abstract":"<div><div>While electric vehicles are often referred to as a suitable means to mitigate the negative externalities of fossil-fueled vehicles, shifting to an all-electric fleet faces challenges. By directly collecting energy from sunlight, solar vehicles are promising to alleviate the induced high need for charging infrastructure. However, public acceptance of solar vehicles and the factors shaping this acceptance remain unclear. Applying an adapted unified theory of acceptance and use of technology 2 (UTAUT2), we investigate the influencing psychological factors and user characteristics of the behavioral intention to adopt solar vehicles as a new mobility tool. Structural equation modeling on a sample from the Netherlands reveals that price value is the strongest predictor of behavioral intention, followed by hedonic motivation, pro-environmental orientation, and social influence. Additionally, mediating and moderating effects are examined to highlight the indirect effects and user profiles. As the first study of its kind for solar vehicles, this research provides insights into user acceptance with implications for policy and market strategies.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103398"},"PeriodicalIF":4.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222904","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":"Aggressive driving in Germany: Representative data on changes over time","authors":"Barbara Krahé ,&nbsp;Sophie Kröling ,&nbsp;Tina Gehlert","doi":"10.1016/j.trf.2025.103374","DOIUrl":"10.1016/j.trf.2025.103374","url":null,"abstract":"<div><div>Aggressive driving is a serious safety hazard on the roads and undermines civilized interactions in a traffic context. In this three-wave cross-sectional study, representative samples of car drivers in Germany (total <em>N</em> = 5,489) completed measures of their own aggressive driving, their perceptions of the aggressive driving of others, and driving stress. The surveys were carried out in 2016 (W1), 2019 (W2) and 2023 (W3). Means of self-reported aggressive driving were significantly higher at W2 than at W1 and at W3 than at W2 and higher among men than among women at each wave. Aggressive driving decreased with age at W1 and W2 and increased with annual mileage at each wave. Driving stress was positively related to aggressive driving at W1, but not at W2 and W3. Reflecting the “better-than-average” effect, participants believed that others showed significantly more aggressive driving behavior than themselves, with a larger difference among women than among men. The difference between themselves and others was larger at W2 and W3 than at W1, indicating an increasing antagonism on the roads. The findings highlight the need to develop effective strategies for reducing aggressive driving.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103374"},"PeriodicalIF":4.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222909","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":"Initial validation of a United States video speed test to measure speed propensity","authors":"Michael A. Nees,&nbsp;Hope Geiss","doi":"10.1016/j.trf.2025.103365","DOIUrl":"10.1016/j.trf.2025.103365","url":null,"abstract":"<div><div>The University of Queensland Video Speed Test (UQVST) has shown validity for measuring speed propensity–a tendency to prefer faster or slower driving speeds. Since the test used driving clips filmed in Australia from the left side of the roadway, the validity of the test for use in samples in the United States is not known. A new United States Video Speed Test (USVST) was developed. The new test used ten video clips, each 8 s in duration, which participants viewed before indicating how much slower or faster they would drive in the same scenario. In a preregistered online survey study (<em>N</em> = 393 participants), the USVST showed high internal and test–retest reliability. Like the UQVST, the USVST correlated positively with scores on the speed subscale of the Driving Style Questionnaire and negatively with age. Further, the USVST showed a negative correlation with the cautious driving subscale of the Multidimensional Driving Style Inventory and a positive correlation with the sum of self-reported accidents, violations, and police pullovers. Males also scored significantly higher on the USVST than females. Collectively, this evidence suggested that the USVST may be a useful tool for measuring speeding propensity.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103365"},"PeriodicalIF":4.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222908","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":"Decoding acceptance of driver monitoring systems: Evaluating alternative measurement models, cross-country variations, and behavioural intention","authors":"İbrahim Öztürk ,&nbsp;Esko Lehtonen ,&nbsp;Ruth Madigan ,&nbsp;Yee Mun Lee ,&nbsp;Elina Aittoniemi ,&nbsp;Natasha Merat","doi":"10.1016/j.trf.2025.103384","DOIUrl":"10.1016/j.trf.2025.103384","url":null,"abstract":"<div><div>Driver monitoring systems (DMS) demonstrate significant potential for enhancing road safety. It is imperative to comprehend potential users’ attitudes towards DMS to optimise their benefits and increase public acceptance. This study investigates potential users’ acceptance of DMS in conditionally automated driving systems (SAE level 3) by evaluating alternative measurement models and assessing cross-country variations across nine countries (i.e., Germany, Spain, France, Japan, Poland, Sweden, the United Kingdom, the United States, and China). Utilising survey data from 9025 drivers, we compared the principal component analysis and the four models (a single-factor model, a six factors model, a two higher-order factors model, and a two lower-order factors model) via structural equation modelling. A model with two correlated factors, <em>General Acceptance</em> and <em>Concerns</em>, emerged as the optimal solution with high reliability across constructs. Significant cross-country differences in all constructs were found, although only 0.3% of the variance in behavioural intention was attributable to country-level differences. A linear mixed model demonstrated that the general acceptance factor positively related to behavioural intention, whereas concerns had a small but significant negative effect. The implications for research and practice suggest that while individual-level perceptions are paramount, country context also plays a role, albeit a modest one, in shaping users’ willingness to adopt DMS technologies.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103384"},"PeriodicalIF":4.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222905","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":"Motion sickness detection and mitigation in a stop-and-go passenger ride scenario","authors":"William Emond ,&nbsp;Richard Sauerbier ,&nbsp;Uwe Scholly ,&nbsp;Farzan Sasangohar ,&nbsp;Mohsen Zare","doi":"10.1016/j.trf.2025.103381","DOIUrl":"10.1016/j.trf.2025.103381","url":null,"abstract":"<div><div>While automated and electric vehicles are introduced on public roads, their users may face an increase in motion sickness while traveling. In a within-subjects design reproducing a realistic stop-and-go ride scenario, 30 participants were driven for 18 minutes (6 laps) on the front passenger seat of a saloon vehicle driven full electric. The first three laps (induction phase) consisted in provoking motion sickness while making participants focus on a cognitive videogame on a handheld tablet. In the remaining three laps (alleviation phase), participants quitted their activity and gazed outside the vehicle to alleviate their symptoms. In the intervention condition, an “anti-motion sickness” function was assessed during the alleviation phase. This function combined visual motion cues with a reclined sitting position, relaxing music, fragrance, and ventilation pulses of oxygen-enriched air. Rank based ANOVA and generalized linear model analyses revealed a significant effect of the intervention condition. Specifically, there was a 35 % reduction in motion sickness symptoms compared to the control condition, where participants alleviated the symptoms by solely gazing out of the window. Both motion-susceptible and motion-resistant participants evaluated the system positively. In addition, analyses of physiological measurements revealed significant relationships between heart rate and peripheral oxygen saturation with the progression of subjective motion sickness scores. These findings delve into the feasibility of a low intrusive solution to mitigate motion sickness in passenger cars and the potential of detecting the rise of symptoms based on the combination of subjective and physiological measurements.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103381"},"PeriodicalIF":4.4,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222907","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":"The effect of metacognitive skills on dissociative driving behaviour: a pilot study of two brief attention-based training methods","authors":"Steven Love ,&nbsp;Kerry Armstrong ,&nbsp;Sjaan Koppel","doi":"10.1016/j.trf.2025.103382","DOIUrl":"10.1016/j.trf.2025.103382","url":null,"abstract":"<div><div>Dissociative driving behaviour (e.g., distraction, inattention, mind wandering) poses a significant risk to road safety. This pilot study aimed to compare the effectiveness of two brief attention training methods − attention training technique (ATT) and mindfulness-based stress reduction (MBSR), for improving self-reported driving attention. The study was advertised on social media platforms and open to adult Australians who reported experiencing difficulties with dissociation when driving in the past week. Participants were randomly assigned to engage in ATT (<em>n</em> = 20) or MBSR (<em>n</em> = 23) every second day for a period of two weeks, whilst a control group (<em>n</em> = 27) were asked to complete a weekly reflection task. All participants completed a survey relating to their thoughts and attention over the past week, before and after the training period. Preliminary correlation analyses showed that general attentional control, mindfulness, and disorganised thinking were relevant to driving-related attention. Mixed-model ANOVAs revealed that ATT and MBSR led to significant improvements in the self-reported ability to regulate attention whilst driving and the frequency of dissociative driving behaviours, over and above the control group. Improvements were also found in general attentional control, mindfulness, disorganised thinking, and psychological distress, particularly for the ATT group. The findings suggest that brief attention training methods are an accessible and effective means of intervening on dissociative driving behaviour. The outcomes of this study could inform future strategies aimed at reducing driving anxiety and attention-related vehicle crashes.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103382"},"PeriodicalIF":4.4,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222910","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 do truck platoons impact the behaviors of adjacent passenger cars? A random parameter logit with heterogeneity in means and variances approach","authors":"Xiaoxiang Ma ,&nbsp;Mingxin Xiang ,&nbsp;Xinguo Jiang ,&nbsp;Yiman Zhou ,&nbsp;Xiaojun Shao","doi":"10.1016/j.trf.2025.103380","DOIUrl":"10.1016/j.trf.2025.103380","url":null,"abstract":"<div><div>Automated truck platoons are believed to be practice-ready given their great potential for fuel and emission reduction. However, safety concerns must be addressed before a large-scale deployment of automated truck platoons can occur, especially regarding their interaction with surrounding passenger cars. Despite its importance, research on how truck platoons affect adjacent drivers remains limited. Addressing this gap and given the lack of real-world automated truck platoon data, this study leverages high-resolution trajectory data on self-organized truck platoons and their adjacent passenger cars as a preliminary exploration of potential interactions involving automated truck platoons. Based on lateral movement, the safety states of adjacent passenger cars were clustered into four categories using the Entropy Weight Method (EWM) and the Gaussian Mixture Model (GMM). A random parameter logit model with heterogeneity in mean and variance was then developed to quantify the impact of contributory factors on the safety state of adjacent passenger cars. The results show that factors such as the lateral deviation of the truck platoon, the length of the truck platoon, and the complexity of the traffic environment increase the risk to adjacent vehicles. For instance, a one-unit increase in maximum lateral offset raises the probability of Offset Unstable State (OUS) by 3.99%, and adding another truck or increasing the average headway elevates the OUS probability by 0.34% and 3.35%, respectively. These findings highlight the influence of truck platoon configuration on adjacent-car safety and contribute to the development of safer, more robust strategies for integrating truck platoons into real-world traffic.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103380"},"PeriodicalIF":4.4,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160342","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":"Modeling behavioral intentions for sustainable adoption of autonomous vehicles: Theory, measurement, and predictive insights","authors":"Ibrahim Arpaci ,&nbsp;Mohammed A. Al-Sharafi ,&nbsp;Moamin A. Mahmoud","doi":"10.1016/j.trf.2025.103378","DOIUrl":"10.1016/j.trf.2025.103378","url":null,"abstract":"<div><div>This study investigated the factors predicting sustainability-oriented behavioral intentions toward using autonomous vehicles (AVs). Grounded in the “Theory of Planned Behavior” (TPB), this study extends the theory by incorporating three sustainability-oriented factors, including perceived environmental concerns, perceived authority support, and perceived economic benefits. The proposed model was thoroughly evaluated using a “Structural Equation Modeling” (SEM) approach. This research involved a diverse cohort of 2192 participants, aged between 18 and 78. The results indicated the significant impacts of sustainability-oriented factors in predicting the TPB constructs, including subjective norms, perceived behavioral control, and attitudes toward using AVs. The necessary condition analysis (NCA) results indicated that attitudes, perceived behavioral control, and perceived environmental concerns are significant necessary conditions for behavioral intentions. The findings have practical and managerial implications, providing valuable insights for shaping marketing strategies, formulating policies, establishing pricing strategies, fostering collaborative initiatives, and guiding sustainable product development.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103378"},"PeriodicalIF":4.4,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120779","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":"Corrigendum to “Social acceptance of autonomous vehicles. A cross-country model validation” [Transp. Res. F: Traffic Psychol. Behav 115 (2025) 103329]","authors":"Rocío de Oña,&nbsp;Laura Garach,&nbsp;Juan de Oña","doi":"10.1016/j.trf.2025.103375","DOIUrl":"10.1016/j.trf.2025.103375","url":null,"abstract":"","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"116 ","pages":"Article 103375"},"PeriodicalIF":4.4,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120778","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}