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

{"title":"Driving under the influence of cannabis: What users think and why it matters","authors":"Viviana C. Zambrano ,&nbsp;Marisa E. Auguste","doi":"10.1016/j.trf.2025.103337","DOIUrl":"10.1016/j.trf.2025.103337","url":null,"abstract":"<div><div>Studies of national cannabis trends show many U.S. adults and adolescents see cannabis as mostly harmless (<span><span>Hasin, 2018</span></span>, <span><span>Hasin and Walsh, 2021</span></span>), a view causing concern in Connecticut amid legalization, due to risks from cannabis-impaired driving. These concerns amplified the urgent need for evidence-based strategies to prevent driving under the influence of cannabis (DUIC), primarily through effective public messaging. In response, this study sought to: (a) understand how cannabis users in Connecticut perceive and engage in DUIC; (b) explore their views on the legal consequences of DUIC; and (c) identify the messaging strategies they believe would be most effective in deterring this behavior. A mixed-methods approach was employed, incorporating a statewide online survey (n = 345) and focus groups (n = 13). Survey results were analyzed using descriptive statistics, ANOVAs, and chi-square tests, while thematic analysis was performed on focus group discussions. Among survey respondents, 228 reported they would refrain from driving high if they thought it was as risky as drunk driving, whereas 30 said they would still drive under the influence. Additionally, 262 participants expressed skepticism about law enforcement’s ability to detect cannabis impairment accurately, and 266 felt that DUIC should carry different legal penalties than drunk driving. Focus group participants identified as frequent cannabis users strongly rejected fear-based messaging and stigma, instead favoring campaigns that promoted safe driving through realistic scenarios and practical guidance. They also emphasized the importance of credible sources and relatable communication. The findings underscore the importance of user-focused, behaviorally informed traffic safety strategies and offer guidance for policymakers shaping cannabis-related road safety and education programs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103337"},"PeriodicalIF":4.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902934","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":"Can self-luminous road markings enhance drivers’ hazard perception at unsignalized intersections? A simulation study on the combined effects of road environments and marking forms","authors":"Hailin Shi ,&nbsp;Feng Chen ,&nbsp;Haotian Du ,&nbsp;Ting Zhang ,&nbsp;Sheng Dong","doi":"10.1016/j.trf.2025.103345","DOIUrl":"10.1016/j.trf.2025.103345","url":null,"abstract":"<div><div>Unsignalized intersections are high-risk areas for traffic accidents, particularly at night, making the enhancement of drivers’ hazard perception a critical objective for road safety. While conventional road markings provide essential visual cues for road users, their effectiveness is limited under specific conditions. As an innovative traffic safety measure, self-luminous road markings (SLRMs) offer intelligent and controllable illumination and have been increasingly implemented in real-world settings. This study investigates the impact of SLRMs on drivers’ hazard perception at night in unsignalized intersections. A driving simulator experiment was conducted under two road environments (rural and suburban) with four marking forms (continuous-illuminating text, continuous-illuminating symbol, transition-illuminating symbol, and non-luminous symbol markings). The results indicate that SLRMs significantly improve drivers’ hazard perception. In terms of driving behavior, drivers exhibited improved braking responses and maintained cautious driving. In terms of eye movement, SLRMs enhanced drivers’ visual search efficiency when exposed to potential hazards. Specifically, in rural environments, continuous-illuminating symbol markings were more effective in strengthening visual search efficiency, whereas in suburban environments, continuous-illuminating text markings were more effective in reducing driving speed. These findings highlight the importance of context-specific intervention strategies and provide theoretical support for the application of SLRMs in road safety, while also informing the future development of dynamic information systems in intelligent transportation.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103345"},"PeriodicalIF":4.4,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896292","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 commute well-being affect life satisfaction? Evidence from UC Davis","authors":"Aakansha Jain,&nbsp;Susan Handy","doi":"10.1016/j.trf.2025.103340","DOIUrl":"10.1016/j.trf.2025.103340","url":null,"abstract":"<div><div>The experiences that one has while commuting have a substantial effect not only on commute-related well-being but also on overall life satisfaction. This study employs the Satisfaction with Travel Scale as a measure of commute experiences and examines how these experiences relate to commute well-being and life satisfaction. Data for this study was collected online as part of the annual University of California, Davis Campus Travel Survey. Overall, students and employees who travel to campus by bike are more satisfied with their commute than those using transit or driving. The analysis shows that commute well-being has a significant impact on overall life satisfaction. However, the study also highlights that other domain-specific satisfaction factors such as financial situation, mental health, and physical health play an even stronger role in shaping life satisfaction. Gender differences emerge as a notable factor, with women reporting lower commute well-being but higher overall life satisfaction. This study provides new insights into commute well-being in a university context, yet many of the transportation challenges identified are common across the U.S., including the need for improved transit services, the incorporation of gender-sensitive transportation planning, and attention to housing options.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103340"},"PeriodicalIF":4.4,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890386","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":"Say goodbye to your car: Prevention focus motivates a shift from car to fare-free autonomous public transport","authors":"Guy Moshe Ross","doi":"10.1016/j.trf.2025.103338","DOIUrl":"10.1016/j.trf.2025.103338","url":null,"abstract":"<div><div>Previous studies have examined extensively the potential of fare-free transit as a substitute for car use. However, current knowledge is mainly limited to socio-economic determinants of the choice between these two modes of travel. The motivational dimension of travel behavior and travel mode choice is completely ignored. Another limitation of current knowledge is the paucity of studies on fare-free autonomous public transport as a substitute for private cars. Hence, the objective of this research was twofold: first, to examine how different motivations affect the willingness to switch from car to fare-free autonomous public transport, and second, to explore what role concerns about autonomous driving technology play in this context. To this end, a new theoretical framework has been proposed. This framework draws on regulatory focus theory. According to the theory, goal-directed behavior is regulated by two motivational systems – promotion and prevention. The promotion system is sensitive to growth-related concerns and is associated with a strategic preference for eager means of goal pursuit. The prevention system is sensitive to security-related concerns and is associated with a strategic preference for vigilant means. Most relevant is that a prevention focus is a strong predictor of commitment to collective action to achieve social goals. Based on this, it was hypothesized that individuals with a prevention (vs. promotion) focus would be more willing to switch from car to fare-free autonomous public transport. It was further hypothesized that the willingness to switch to fare-free autonomous public transport would be negatively related to technology concerns, and this relationship would be mediated by the acceptance of autonomous driving technology. These hypotheses were tested in three studies in which regulatory focus was induced (promotion vs. prevention). In Study 1, prevention-focused participants were more willing to give up car use and switch to fare-free autonomous rail transit. In Study 2, there was no difference between prevention-focused and promotion-focused participants in the willingness to switch to fare-free autonomous buses. In Study 3, prevention-focused participants were more willing to give up car use and switch to fare-free shared autonomous robotaxis. In all three studies, acceptance of autonomous driving technology mediated the relationship between technology concerns and the willingness to switch modes of travel from the private car to fare-free autonomous transit.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103338"},"PeriodicalIF":4.4,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890385","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":"A randomised controlled trial testing the efficacy of a volitional help sheet supplemented with an implementation intention-reinforcement intervention designed to reduce mobile phone use while driving","authors":"Mark A. Elliott ,&nbsp;Scott Orr ,&nbsp;Abigail Paterson ,&nbsp;Megan Coyle ,&nbsp;Megan Gallacher ,&nbsp;Amy Hunter ,&nbsp;Lucy McGeehan ,&nbsp;Rebecca Molloy ,&nbsp;Jessica Noble ,&nbsp;Lauren Peattie ,&nbsp;Georgia Sutherland ,&nbsp;Taylor Wilson ,&nbsp;Allan McGroarty","doi":"10.1016/j.trf.2025.103339","DOIUrl":"10.1016/j.trf.2025.103339","url":null,"abstract":"<div><div>Volitional help sheets (VHSs) promote the formation of implementation intentions (IF-THEN plans) and have recently shown promise for reducing mobile phone use while driving. We tested whether an intervention, designed to reinforce the extent to which the IF (critical situation) and THEN (goal-directed response) components of implementation intentions are encoded to memory, could generate additional reductions in drivers’ use of mobile phones over and above a VHS. Participants (<em>N</em> = 436) were randomised to either a VHS condition, a VHS plus implementation intention reinforcement condition, or an active control condition. There were no post-intervention differences between the conditions in standard self-report measures of mobile phone usage while driving, goal intentions, theoretically derived motivational pre-cursors of goal intentions (attitudes, subjective norms and perceived behavioural control) or memory ability. However, in the VHS plus implementation intention reinforcement condition, exploratory analyses indicated that the accuracy with which the participants re-specified their implementation intentions was associated with greater reductions in mobile phone usage. The extent to which participants can accurately re-specify their implementation intentions might constitute a useful measure of intervention adherence, which dictates whether VHSs can generate behaviour-change (e.g., reductions in mobile phone use while driving). Future research is required to test the extent to which this adherence measure moderates the effectiveness of VHSs and identify measures that distinguish between adherers and non-adherers.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103339"},"PeriodicalIF":4.4,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878404","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":"Investigating autonomous vehicle acceptance among young adults in China","authors":"Zhiyao Pan,&nbsp;Hongyu Zheng","doi":"10.1016/j.trf.2025.103331","DOIUrl":"10.1016/j.trf.2025.103331","url":null,"abstract":"<div><div>Autonomous vehicles (AVs) are expected to transform future mobility systems. Understanding how users respond to AVs is crucial for successful deployment, particularly in high-potential markets such as China. While many studies have examined general consumer acceptance of AVs, little attention has been paid to the unique perceptions and behaviors of young users. This study focuses on Chinese young adults, a key demographic who are both digitally literate and future-oriented in their mobility choices. To investigate the psychological, contextual, and behavioral factors influencing AV acceptance in this group, we developed an autonomous vehicle acceptance model (AVAM). The model extends the technology acceptance model (TAM) by incorporating eight additional constructs: perceived trust, willingness to pay, curiosity, prior knowledge, social influence, perceived risk, driving experience, and driving pleasure. Data were collected through a survey of 738 licensed drivers aged 18 to 35 in China. Structural equation modeling was employed to evaluate the model. The results confirm that perceived usefulness, perceived ease of use, and especially perceived trust significantly affect intention to use AVs. Curiosity and social influence positively shape trust and usability perceptions, while perceived risk has a negative impact on trust. Driving experience negatively impacts perceived usefulness, while driving pleasure reduces perceived ease of use. This study contributes to the literature by contextualizing TAM within a specific demographic and cultural framework. It also provides practical insights for AV practitioners and policymakers seeking to promote younger users’ adoption in emerging markets.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103331"},"PeriodicalIF":4.4,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831314","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":"Optimizing in-vehicle warning sounds: core feature insights with machine learning models","authors":"Jiawen Chen ,&nbsp;Xuesong Wang ,&nbsp;Mengjiao Wu ,&nbsp;Xin Yi ,&nbsp;Xiaowei Tang ,&nbsp;Andrew Morris","doi":"10.1016/j.trf.2025.103332","DOIUrl":"10.1016/j.trf.2025.103332","url":null,"abstract":"<div><div>Optimizing user-centered alerting systems is essential as automotive technology continues to evolve. However, previous studies have not fully clarified how individual driver characteristics affect the perception and response to warning signals. Consequently, this study employed Random Forest Regression and SHAP analysis to identify significant features and their contribution to predictions. Results showed that lane position, fixation times, and subjective urgency score were strong predictors of brake reaction time. In contrast, subjective pleasantness, driver gender, and subjective urgency score played a major role in perceived subjective warning effectiveness. Lane departure directly influences braking response, while driver characteristics impact subjective warning effectiveness. These findings provide insight into feature selection and model generalizability. They also help to identify the factors that improve the effectiveness of in-vehicle warnings and support safer driving behavior.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103332"},"PeriodicalIF":4.4,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831316","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":"Acceptance of connected vehicle technology in emerging markets: A multi-method approach","authors":"Jastina Mariam Mathai ,&nbsp;Merlin Nandy ,&nbsp;Prasanna Kumar Gurugubelli","doi":"10.1016/j.trf.2025.103334","DOIUrl":"10.1016/j.trf.2025.103334","url":null,"abstract":"<div><div>Connected vehicles present a wide range of applications that have the potential to revolutionize the transportation landscape, offering benefits to drivers, passengers, and transportation systems while enabling innovative business models for automakers. Despite these opportunities, consumer acceptance of Connected Vehicle Technologies (CVT) has progressed at a slower pace than anticipated, creating obstacles for automakers in monetizing the associated data. As a result, it becomes essential to determine the factors influencing consumers’ behavioural intention to use CVT, particularly in emerging markets like India. This study addresses this gap by gathering data from various metropolitan cities across India to identify the factors influencing intention to use CVT. Using a multi-method approach incorporating Structural Equation Modelling (SEM) and Fuzzy-Set Qualitative Comparative Analysis (fsQCA), the study reveals that <em>perceived usefulness, perceived ease of use,</em> and <em>brand consciousness</em> serve as core factors driving the intention to use CVT. Meanwhile, <em>perceived enjoyment</em> and <em>social influence</em> function as complementary factors, further supporting this intention. <em>Perceived risks</em> and <em>technology readiness</em> of consumers were not found to influence intention to use CVT. The findings provide valuable insights into consumer behavior concerning advanced transportation technology and offer actionable recommendations to stakeholders to promote the acceptance of CVT.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103334"},"PeriodicalIF":4.4,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831315","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":"Are you an energy saver? Investigating consumers’ energy saving intention during vehicle usage by extending the Norm Activation Model","authors":"Shuqin Liu ,&nbsp;Heming Gong ,&nbsp;Chundong Zheng","doi":"10.1016/j.trf.2025.103335","DOIUrl":"10.1016/j.trf.2025.103335","url":null,"abstract":"<div><div>Environmental protection has attracted widespread attention due to the pressing environmental challenges facing the world. The transportation sector holds significant potential to mitigate environmental damage, including greenhouse gas emissions, global warming, and air pollution. In this context, understanding the key determinants of consumers’ energy saving intention (ESI) during vehicle usage is crucial for developing appropriate energy policies. However, this topic remains underexplored in existing literature. To address this gap, this research aims to examine how three factors from the Norm Activation Model (NAM)—awareness of consequences (AC), ascription of responsibility (AR), and subjective norms (SN)—along with consumer perceptions (i.e., perceived responsibility [PR], perceived behavioral control [PBC]) influence the behavioral intentions of Chinese consumers to save energy during vehicle usage. This research employs structural equation modeling to analyze 503 valid responses obtained via an online questionnaire survey conducted on Credamo. Results indicate that the three NAM factors affect ESI positively through indirect pathways, while PR and PBC directly exert positive effects on ESI. Specifically, AC positively influences AR, which then enhances SN; but AC does not directly impact SN. Furthermore, AR strengthens PR, thereby increasing consumers’ intention to save energy. In parallel, SN positively affects PBC, which further promotes ESI, though SN’s direct effect on ESI is non-significant. These findings offer novel insights into the pro-environmental behavioral intentions of consumers in the transportation sector and provide important implications for stakeholders, particularly from the perspective of individual vehicle users.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103335"},"PeriodicalIF":4.4,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826852","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":"Digital roads and data ethics: Exploring the road users’ perspective","authors":"Rongqiu Song ,&nbsp;Dimitris Potoglou ,&nbsp;Nadeem Fayyaz ,&nbsp;Mehreen Ashraf ,&nbsp;Katarzyna Stawarz ,&nbsp;George Theodorakopoulos ,&nbsp;Tim Edwards ,&nbsp;Emyr Thomas ,&nbsp;Yulia Cherdantseva","doi":"10.1016/j.trf.2025.103330","DOIUrl":"10.1016/j.trf.2025.103330","url":null,"abstract":"<div><div>The implementation of ‘Digital Roads’ initiatives in the UK promises to revolutionise transportation through the integration of cutting-edge technologies such as artificial intelligence (AI) and connected vehicles. However, this technological advancement brings with it the potential for extensive data collection pertaining to road users. Understanding the concerns of these users is important for the successful adoption of these transformative transportation technologies and provides the foundation towards building user-centred ethical frameworks. This study reports evidence from five workshops with 20 participants from diverse backgrounds including computer science and cybersecurity, business, geography and planning. Each workshop captured user narratives including concerns, questions, and suggestions against three scenarios that were likely to be implemented on UK motorways in the future. The scenarios involved a hypothetical, but realistic implementation of various technologies aimed at enhancing road safety but could also be a threat to their privacy. For example, one scenario involved AI-based identification of bad driving behaviour under which participants were in turn, either a road user or the violator. The thematic analysis of the workshop data pointed towards six primary concerns: data privacy, technology reliability, data security, awareness of data collection practices, possible consequences of data collection, and the involvement of third-party entities. Addressing these concerns will be instrumental in fostering public trust and acceptance of new technologies in transportation. These findings also suggest the importance of transparency, awareness, data security, fairness, inclusivity, and accountability in ensuring data ethics within the realm of digital transportation infrastructure.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103330"},"PeriodicalIF":4.4,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144781174","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}