{"title":"Measuring sensation seeking in urban cyclists: Development and validation of the SSC scale","authors":"Sergio A. Useche","doi":"10.1016/j.trf.2025.02.022","DOIUrl":"10.1016/j.trf.2025.02.022","url":null,"abstract":"<div><div>Thanks to various decades of accumulated empirical research, sensation seeking (SS) has gained prominence as an emerging issue of interest in road safety research. Previous studies have emphasized its potential to contribute to risky behavior among various road users, including cyclists. However, there has been a notable gap in the literature: the absence of an instrument designed to measure sensation-seeking factors while considering the particular conditions and behavioral repertoire of cyclists.</div></div><div><h3>Objective</h3><div>This paper aims to describe the development and psychometric assessment of the Sensation Seeking in Cycling (SSC) scale.</div></div><div><h3>Method</h3><div>This study analyzed data from 5108 cyclists, aged 16 to 64 (μ = 32.3), who completed an electronic questionnaire on individual and cycling-related factors. Data were analyzed through competitive confirmatory analyses (via Structural Equation Modeling), psychometrically evaluating the structure of the SSC under two different dimensional assumptions.</div></div><div><h3>Results</h3><div>Data analyses have shown that the Sensation Seeking in Cycling scale has a suitable set of psychometric features, in addition to a satisfactory internal consistency and reliability. Further, the SSC scores have coherent and significant relationships to literature-supported factors, thus providing good insights on the concurrent validity of the questionnaire regardless of cyclists’ sex or age. In addition, descriptive country-based comparisons suggest significant differences in in the SSC scores.</div></div><div><h3>Conclusion</h3><div>The outcomes of this validation study suggest that the SSC is a valid tool for measuring sensation-seeking factors in the specific setting of urban cycling in the two factorial compositions tested in this paper. Also, it is emphasized the importance of understanding cyclists’ psychosocial factors to enhance safety and promote sustainable urban bicycle riding.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 45-59"},"PeriodicalIF":3.5,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510122","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}
Haowen Sun , Jian Li , Fei Ma , Ruihan Wu , Tong Zhou , Xu Wang
{"title":"Exploring the safety effect of traffic guidance sign alignment at expressway hybrid toll plazas","authors":"Haowen Sun , Jian Li , Fei Ma , Ruihan Wu , Tong Zhou , Xu Wang","doi":"10.1016/j.trf.2025.02.013","DOIUrl":"10.1016/j.trf.2025.02.013","url":null,"abstract":"<div><div>With the rapid growth in automobile ownership and thus highway usage demand, toll plaza congestion has become a major issue that limits the efficiency of expressway traffic. To optimize signage facilities and improve the performance and safety of toll plaza operations, the mechanisms that influence driver behaviors in expressway toll plaza areas were analyzed through simulation experiments in this paper. The simulations replicated the lane configuration and signage layout of the Jinan Ganggou Toll Plaza and Jinan North Toll Plaza in China. Four experimental scenarios and four signage schemes were designed and evaluated under 16 Experimental Designs per driver, culminating in a total of 100 samples. During the simulations, vehicle driving state parameters were collected, and multivariate analysis of variance and generalized estimating equation were used to examine the effects of different factors, including vehicle type, queue length at toll lanes, and signage schemes, on driver behavior in the toll plaza area. Finally, an in-depth analysis was conducted on subjective questionnaire data provided by drivers to assess thoroughly the mechanisms behind driving behavior and the integration of traffic guidance signage schemes in toll plazas. Results indicate that through driving simulation and driver questionnaires, the experimental variables of vehicle type and queue length significantly affect lateral offset, vehicle operating speed, and maximum deceleration. Furthermore, signage scheme 4 provides effective guidance to drivers, improves traffic efficiency, alleviates congestion in toll lanes, enhances toll lane utilization, and offers higher levels of safety and comfort.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 260-276"},"PeriodicalIF":3.5,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487253","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 artificial intelligence usage affect the safety behavior of bus drivers? A double-edged sword study","authors":"Yunshuo Liu , Yanbin Li , Lili Hu , Qichao Zhang","doi":"10.1016/j.trf.2025.02.026","DOIUrl":"10.1016/j.trf.2025.02.026","url":null,"abstract":"<div><div>This study aims to provide a framework for understanding the mechanism by which artificial intelligence (AI) usage affects the safety behavior of bus drivers through cognitive appraisal theory. We examined data from 555 bus drivers at three-time points. Our findings indicate that AI usage is positively related to both safety self-efficacy and job insecurity, which in turn are linked to safety behavior. Safety self-efficacy and job insecurity mediate the relationship between AI usage and safety behavior. Additionally, we found that trait resilience moderates the positive relationship between AI usage and safety self-efficacy, as well as the relationship between AI usage and job insecurity. Furthermore, trait resilience moderates the indirect effect of AI usage on safety behavior through safety self-efficacy and job insecurity. The results suggest that AI usage has two faces, both enhancing and impairing the safety behavior of bus drivers. These findings are crucial for management theory and practice.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 32-44"},"PeriodicalIF":3.5,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510121","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}
Florent Varet, Quentin Victeur, Antoine Deplancke, Marie Pelé, Vincent Lenglin
{"title":"To lose or not to lose one’s grip? A comparison of psychosocial predictors of risk-taking and accident involvement among French cyclists","authors":"Florent Varet, Quentin Victeur, Antoine Deplancke, Marie Pelé, Vincent Lenglin","doi":"10.1016/j.trf.2025.02.024","DOIUrl":"10.1016/j.trf.2025.02.024","url":null,"abstract":"<div><div>Despite the many benefits of cycling, cyclists are particularly vulnerable road users. Fatal and serious injuries limit the development of cycling and can be attributed to several factors, including voluntary and involuntary risky cycling behaviors. This study aims to investigate and compare the role of some psychosocial variables associated with risk-taking in the literature but still little studied among cyclists: general risk propensity, impulsivity, sensation-seeking, descriptive and injunctive social norms towards violations and risky cycling, and perceived legitimacy of cyclists’ traffic rules. Risk perception was also included as a competing variable. A questionnaire was completed by a large sample of French cyclists (<em>N</em> <sub>after exclusions</sub> = 1,650). Risky cycling behaviors were considered in terms of self-reported frequency of violations, errors, not wearing a helmet, and involvement in past crashes with injuries. Associations between potential predictors, risky behaviors and crashes were first examined using bivariate analyses and then confirmed using multivariate analyses. Finally, mediation analyses were conducted to test indirect effects of potential predictors on past crashes through risky behaviors. The main findings highlight the role of stable individual dispositions (i.e., general risk propensity, urgency feeling as a facet of impulsivity) and more malleable individual perceptions (i.e., descriptive norms, legitimacy of traffic rules) in risky cycling. Injunctive norms and risk perceptions were weakly or not associated with risky cycling. Limitations, perspectives for future research and for the development of evidence-based road safety interventions (e.g., emotion regulation training, campaign highlighting that risky behaviors does not bring the expected psychosocial benefits) are discussed.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 14-31"},"PeriodicalIF":3.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488978","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}
Jung Hwan Kim , Yeongjun Kim , Younggeol Cho , Tae Kyun Kim , Tongil Jang , Chanwoo Park , Seong Keun Kang
{"title":"Biosignal-based attention monitoring for evaluating train driver safety-relevant tasks","authors":"Jung Hwan Kim , Yeongjun Kim , Younggeol Cho , Tae Kyun Kim , Tongil Jang , Chanwoo Park , Seong Keun Kang","doi":"10.1016/j.trf.2025.02.025","DOIUrl":"10.1016/j.trf.2025.02.025","url":null,"abstract":"<div><div>This study explores the impact of biosignal-based attention monitoring on train driver performance in the context of smartphone usage, a critical factor influencing railroad safety. The persistent problem of smartphone distractions, which severely impair situational awareness and contribute to accidents, necessitates innovative solutions to enhance operational safety. To address this issue, this study develops an electroencephalogram (EEG)-based system for detecting smartphone usage in train drivers and analyzing its effects on cognitive performance. A full-type train simulator was used to replicate real-world train operations, where EEG data were collected from 25 participants under two experimental conditions: (1) train driving with smartphone usage, and (2) train driving without smartphone usage. A deep learning-based classification model, utilizing Long Short-Term Memory (LSTM) networks, was developed to analyze EEG signals and detect smartphone-related cognitive impairments. The model achieved an accuracy of 85.6% in distinguishing smartphone usage states, demonstrating its effectiveness in detecting cognitive changes associated with smartphone distractions. Furthermore, the findings indicate that smartphone usage leads to a 1.4x increase in response time to critical situations, significantly impacting reaction times and error rates. Unlike traditional behavior-based monitoring methods, this study pioneers an objective, real-time EEG-based smartphone usage detection system, offering a proactive strategy for accident prevention in railroad operations. By integrating deep learning with biosignal analysis, this research contributes to the advancement of real-time safety monitoring systems, providing new insights into human performance assessment in high-risk environments.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 1-13"},"PeriodicalIF":3.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478918","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}
Zhendong Wu , Wenxiang Duan , Guocui Liu , Xiaoqun Ai
{"title":"Evaluating the effects of brake light flicker frequency on cognitive conspicuity during visual dark adaptation: A 360-degree simulated driving study","authors":"Zhendong Wu , Wenxiang Duan , Guocui Liu , Xiaoqun Ai","doi":"10.1016/j.trf.2025.02.016","DOIUrl":"10.1016/j.trf.2025.02.016","url":null,"abstract":"<div><div>Upon entering tunnel entrance and transition zones, drivers experience the “black hole effect” which necessitates visual adaptation due to reduced illumination. This phenomenon increases the risk of rear-end collisions. While the brake lights are crucial for traffic safety, strategies to enhance visibility under dark adaptation conditions require further investigation. Existing research has primarily focused on the general properties and effects of the brake lights. However, conclusive results regarding the optimal flicker frequency for the brake lights remain elusive.</div><div>This study evaluates the impact of the flicker brake lights on vehicle conspicuity across various tunnel zones using two simulated driving experiments in 360° video-based Virtual Reality: a search conspicuity experiment (N = 30) assessing drivers’ reaction times to the brake lights, and an attention conspicuity experiment (N = 34). Analysis of eye-tracking data and braking response time reveals that flicker brake lights significantly improve vehicle conspicuity compared to constant lights across tunnel. In the entrance zone, no significant differences in braking time, time to first fixation (TTF), fixation durations, or fixation counts were observed between higher frequency (10 Hz) and lower frequency (4 Hz) flicker brake lights. In the transition zone, however, higher frequency flicker lights resulted in shorter reaction times, shorter TTF, longer fixation durations, and increased fixation counts in comparison to lower frequency flicker lights and constant lights, indicating enhanced search and attention conspicuity.</div><div>These results provide evidence-based insights for designing brake light flicker frequencies to enhance drive safety during tunnel driving.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 247-259"},"PeriodicalIF":3.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479186","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":"Factors influencing car owners’ intentions of using shared cars: An extension of the theory of planned behavior in China","authors":"Gendao Li , Qi Sun , Zhaohui Dong","doi":"10.1016/j.trf.2025.02.021","DOIUrl":"10.1016/j.trf.2025.02.021","url":null,"abstract":"<div><div>As traffic congestion and environmental pollution escalate with rising private car ownership, shared mobility, particularly car-sharing, emerges as a sustainable alternative. Building on the Theory of Planned Behavior (TPB), this study extends the framework by integrating six novel predictors: perceived usefulness, perceived cost, novel experience, perceived risk, driving habit, and perceived environmental value. Through a nationwide survey administered via SoJump, 399 valid responses (95.2% validity rate) were analyzed. Results demonstrate that perceived usefulness and perceived cost significantly enhance both behavioral attitudes and intention to use, while novel experience strengthens attitudes and perceived behavioral control. Conversely, perceived risk and driving habits significantly intention to use. Notably, perceived environmental value showed no significant effect. These findings offer actionable insights: policymakers should prioritize cost subsidies and risk mitigation, while operators should leverage novelty-driven design to accelerate shared mobility adoption.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 230-246"},"PeriodicalIF":3.5,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453992","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":"Understanding the non-users’ acceptability of autonomous vehicle hailing services using SEM-ANN-NCA approach","authors":"Xu Duan , Hongyun Si , Xin Xia","doi":"10.1016/j.trf.2025.02.018","DOIUrl":"10.1016/j.trf.2025.02.018","url":null,"abstract":"<div><div>Autonomous vehicle hailing services (AVHSs) incorporate automated technology and shared mobility, resulting in a significant shift in human mobility. To popularize AVHSs, this research aims to develop a conceptual model based on the stimulus-organism-response paradigm to comprehend the formation mechanism of the non-users’ acceptability. Partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) were applied to capture the linear and nonlinear relationships among factors of the conceptual model. With “sufficiency logic” and “necessity logic”, PLS-SEM and necessary condition analysis (NCA) were used to determine “must have” and “should have” factors. The empirical analysis revealed that government support, information publicity, and social influence positively have different degrees of influence on perceived usefulness, perceived ease of use, and perceived safety, then influencing the acceptability of AVHSs. In addition, perceived usefulness, perceived ease of use, and perceived safety are both “must have” and “should have” factors for acceptability. The research findings help policymakers and business practitioners determine the marketing promotion priorities for AVHSs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 211-229"},"PeriodicalIF":3.5,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436850","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 encounter timing affects the impact of eHMI on surrounding drivers during automated truck merging","authors":"Jongseong Gwak, Keisuke Shimono, Yoshihiro Suda","doi":"10.1016/j.trf.2025.02.015","DOIUrl":"10.1016/j.trf.2025.02.015","url":null,"abstract":"<div><div>Automated driving has emerged as a potential solution to address the shortage of drivers in the logistics industry. For its implementation, it is crucial to ensure the acceptance of drivers surrounding automated vehicles. This study focused on examining how the external Human Machine Interface (eHMI) of automated trucks, along with the timing of encounters at highway junctions, can influence the driving behavior and acceptance of surrounding drivers. A driving simulator scenario was used to investigate visual behaviors, subjective evaluations, and driving performance when drivers encountered an automated truck at a highway junction. The findings suggest that the eHMI can positively influence safety by reducing the visual reaction time of surrounding drivers. However, depending on the timing of the encounter with the automated truck, the eHMI may potentially complicate avoidance decisions for surrounding drivers. Therefore, it is essential to carefully utilize the eHMI, considering the truck’s location at a merging area or its interaction with infrastructure facilities, to facilitate better decision-making for surrounding drivers.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 182-194"},"PeriodicalIF":3.5,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428275","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":"Drivers’ use of front crash prevention, lane departure warning and prevention, and speed warning systems","authors":"Aimee E. Cox, Ian J. Reagan, Jessica B. Cicchino","doi":"10.1016/j.trf.2025.01.037","DOIUrl":"10.1016/j.trf.2025.01.037","url":null,"abstract":"<div><h3>Introduction</h3><div>Crash avoidance technologies can aid with the driving task and reduce crashes, but only if used. This study measured use of front crash prevention, lane departure (i.e., lane departure warning or prevention), and speed warning systems (i.e., systems that alert the driver when traveling above the speed limit).</div></div><div><h3>Methods</h3><div>We observed activation rates of systems that retain their last setting with each ignition cycle on over 2,000 model year 2017 to 2023 vehicles from six manufacturers serviced at branded dealerships in the Washington, DC, metro area in 2023. We analyzed vehicle and driver demographic characteristics to identify factors associated with system use.</div></div><div><h3>Results</h3><div>Automatic emergency braking was enabled on 93% of vehicles, ranging from 86% to 100% by manufacturer. Lane departure systems were activated on 87% of vehicles, ranging from 56% to 99% by manufacturer. Lane departure system activation rates were higher for systems with prevention capabilities than warning only capabilities and that were activated through a settings menu versus a button. Visual speed warnings were activated on 71% of vehicles, and 14% of vehicles with an audible speed warning had the audible alert on.</div></div><div><h3>Conclusions</h3><div>Driver use of lane departure systems has improved over time, which may be due to more lane departure prevention systems and design changes that made them more acceptable. Early use of visual speed warning alerts is strong, and we provide manufacturers and engineers suggestions of ways to improve the acceptability of audible speed warning alerts, which are effective at reducing speeding behavior.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 195-210"},"PeriodicalIF":3.5,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436849","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}