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

{"title":"Braving the elements: Understanding and promoting winter cycling behavior","authors":"Laura Ebbinghaus ,&nbsp;Dominik Georgi ,&nbsp;Marcel Zbinden ,&nbsp;Larissa Dahinden","doi":"10.1016/j.trf.2025.05.001","DOIUrl":"10.1016/j.trf.2025.05.001","url":null,"abstract":"<div><div>Cycling is among the healthiest and most sustainable forms of transportation, with the potential to reduce congestion and emissions. However, many cyclists switch to motorized vehicles when temperatures drop, raising questions about promoting winter cycling, an area with limited research. Our study addresses this gap by examining factors influencing winter cycling and intervention strategies. Using stimulus–organism–response theory and a literature review on winter cycling, we surveyed 11,034 Swiss cyclists online. Exploratory and confirmatory factor analyses revealed four latent factors impacting winter cycling intentions: cycling identity, health consciousness, adverse weather safety concerns, and winter road safety concerns. We also assessed five behavioral interventions aimed at promoting winter cycling: a monetary incentive, social comparison, an additional paid day of holidays per year, a competition, and goal setting. All interventions increased participants’ winter cycling intentions, with the paid day off being the most effective and social comparison the least effective. Further moderation analyses revealed that adverse weather safety concerns moderate the link between the interventions and winter cycling intentions. This research contributes to the transportation literature by providing new insights into the psychological factors facilitating active transport behavior under adverse conditions. This study offers guidance for policy-makers and practitioners interested in promoting sustainable mobility, specifically, winter cycling.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 517-535"},"PeriodicalIF":3.5,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107105","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":"Improving road user perception in adverse weather: An augmented human–machine interface for remote assistants of automated vehicles","authors":"Andreas Schrank ,&nbsp;Marc Wilbrink ,&nbsp;Stefan Brandenburg ,&nbsp;Michael Oehl","doi":"10.1016/j.trf.2025.05.017","DOIUrl":"10.1016/j.trf.2025.05.017","url":null,"abstract":"<div><div>Highly automated vehicles (SAE level 4) occasionally require human support. A remote assistant can help the vehicle from a distance. To date, virtually all human–machine interface (HMI) concepts for remote operation rely on cameras on board the vehicle for assessing its environment. However, in adverse weather, a remote assistant may not be able to decide based on video streams only. We propose an HMI concept for augmenting video streams with visualized data from vehicle sensors. In an experiment, 34 participants assisted the driving automation in a left-turn task using the augmented HMI concept. Visibility was varied by inducing fog. Results show that the augmented HMI effectively supported participants in their remote assistance task. Particularly when foggy, the augmentation reduced collisions, improved situation awareness, and received higher usability ratings. The results imply that augmentation is effective for increasing safety, especially in poor-visibility environments. Future research should examine implications for workplace design.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 500-516"},"PeriodicalIF":3.5,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107106","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":"Longitudinal effects of visualizing uncertainty of situation detection and prediction of automated vehicles on user perceptions","authors":"Pascal Jansen ,&nbsp;Mark Colley ,&nbsp;Max Rädler ,&nbsp;Jonas Schwedler ,&nbsp;Enrico Rukzio","doi":"10.1016/j.trf.2025.05.013","DOIUrl":"10.1016/j.trf.2025.05.013","url":null,"abstract":"<div><div>This paper explores the impact of uncertainty visualizations in automated vehicle (AV) functionality on user perceptions over a three-day longitudinal study. Participants (N=50) watched real-world driving videos twice daily, in the morning and evening. These videos depicted morning and evening commutes, featuring visualizations of AVs' pedestrian detection, vehicle recognition, and pedestrian intention prediction. We measured perceived safety, trust, mental workload, and cognitive load using a within-subjects design. Results show increased perceived safety and trust over time, with higher ratings in the evening sessions, reflecting greater predictability and user confidence in AV by the study's end. However, inconsistencies in pedestrian detection and intention prediction led to mixed reactions, highlighting the need for visualization stability and clarity refinement. Participants also desired a feature indicating the AV's intended path and options for manual intervention. Our findings suggest transparency and usability in AV visualizations can foster trust and perceived safety, informing future AV interface design.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 536-553"},"PeriodicalIF":3.5,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124541","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":"Older adult perspectives on automated vehicles: Open issues and future opportunities","authors":"Togtokhtur Batbold,&nbsp;Alessandro Soro,&nbsp;Ronald Schroeter","doi":"10.1016/j.trf.2025.05.008","DOIUrl":"10.1016/j.trf.2025.05.008","url":null,"abstract":"<div><div>Advances in automated vehicle (AV) technology may significantly benefit older adults through enhanced mobility, independence, safety, and comfort. To understand older adults' role as future users, we systematically reviewed 79 peer-reviewed articles on older driver-AV interactions using a narrative synthesis approach and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Five main study topics emerged: attitude and intention to use AVs, trust and acceptance, take-over performance, situational awareness, and human-machine interfaces. Most articles adopted a deficit model, emphasizing older adults' cognitive and physical changes over personal preferences. Individual backgrounds, familiarity, and learning approaches were overlooked in the research. This article recognizes older adults' abilities and advocates for more inclusive AV design and research.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 481-499"},"PeriodicalIF":3.5,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099165","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":"Behavioral insights and hotspot identification: Integrating natural language processing, machine learning and geospatial analyses of cyclist crashes","authors":"Vinayak Malaghan ,&nbsp;Francesco Pilla ,&nbsp;Pavlos Tafidis ,&nbsp;Brian Rogers","doi":"10.1016/j.trf.2025.05.005","DOIUrl":"10.1016/j.trf.2025.05.005","url":null,"abstract":"<div><div>In response to the rising trend in the promotion and adoption of cycling, ensuring cyclist safety is paramount. Understanding behavioural causes of crashes and identifying collision hotspots is important; however, the efforts are hindered by underreporting and limited data on all types of incidents, including near misses. Addressing these challenges, this study analyses text data reported on dedicated active travel collision platforms to categorize incidents and uncover behavioural patterns contributing to collisions. The reported text data is grouped into distinct themes applying Term Frequency-Inverse Document Frequency (TF-IDF) vectorization, and clustering. Additionally, the advanced geospatial technique Getis-Ord Gi* statistic is computed to identify spatial clustering of collisions and categorize geographical regions as hotspots and cold spots. Key themes contributing to collisions are grouped as follows: ‘close pass incidents,’ ‘blocked bicycle lanes,’ ‘cyclist incidents on tram tracks,’ ‘roundabout incidents,’ ‘left turn incidents,’ ‘incidents between buses and cyclists,’ ‘incidents involving cyclists and trucks,’ ‘incidents related to traffic lights and pedestrian crossings,’ and ‘turning incidents at intersections.’ Moreover, the hotspots from these incidents are located at or near the intersections of regional roads in the Central Business District (CBD) and on the peripheral regional roads encapsulating the CBD in Dublin, Ireland. This study advances the state of the art by utilizing an alternative data source, ‘crash descriptions’ from cyclist crashes, through the application of innovative machine learning techniques and advanced geospatial analyses. The insights from the unique themes and identified hotspots enhance understanding of risky behaviours and their spatial distribution, contributing to ongoing efforts to foster a safer cycling environment.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 452-480"},"PeriodicalIF":3.5,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090296","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":"Tell me how you drive and I’ll tell you who you Are: Reciprocal impact of gender categories and roles on attributed driving skills and Anxiety?","authors":"Béatrice Degraeve ,&nbsp;Julie Devif ,&nbsp;Brice Douffet ,&nbsp;Marie-Axelle Granié","doi":"10.1016/j.trf.2025.05.012","DOIUrl":"10.1016/j.trf.2025.05.012","url":null,"abstract":"<div><div>Social expectations significantly shape individual perceptions and behaviors and extend their influence to driving. We conducted two experimental studies to delineate the reciprocal influences of gender categories (male and female), gender roles (traditional masculinity and femininity), driving-related skills, and driving anxiety. Study 1 found that female portraits were associated with higher levels of driving anxiety, and feminine portraits were associated with safety skills. Higher levels of adherence to gender stereotypes associated with driving led to a stronger association between masculinity and perceptual-motor skills. Study 2 confirmed these findings, indicating that safety-oriented portraits were more likely to be perceived as female and feminine, and perceptual-motor-oriented profiles were more likely to be perceived as male and masculine. Addressing these stereotypes is critical to promoting equitable attitudes toward driving skills, regardless of gender.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 440-451"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090295","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":"“I let him go because I wanted him to have independence”: How parents and adolescents negotiate using public transport”","authors":"Maryam Jafari ,&nbsp;Alexa Delbosc ,&nbsp;Graham Currie","doi":"10.1016/j.trf.2025.05.016","DOIUrl":"10.1016/j.trf.2025.05.016","url":null,"abstract":"<div><div>This paper explores the perspectives of parents and adolescents in Melbourne, Australia, regarding the use of public transport by adolescents. The primary goals are to study how parental views influence their adolescents’ use of public transport, as well as how adolescents build confidence to navigate using public transport at different destinations. A qualitative research approach was employed, involving semi-structured interviews with 20 parents and 10 of their adolescents aged 11–17. The findings show that parental concerns about safety, particularly harassment and unpredictable conduct from strangers, greatly impact their decisions to allow their adolescents to take public transport. However, parents realise the developmental benefits of granting independence and fostering life skills through public transport use. Adolescents, on the other hand, were far less concerned about personal safety and far more concerned about navigation and ticketing. They expressed a desire for autonomy and freedom while acknowledging challenges such as navigating unfamiliar routes. Additionally, the presence of siblings or friends enhances their experiences and influences parental decisions. Highlighting these concerns provides valuable insights for creating an inclusive, safe, and supportive public transport system. Further research is needed to understand the impact of parental and child anxieties on actual rates of independent mobility by adolescents.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 426-439"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090454","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 winter conditions affect passengers’ intentions to use shared autonomous vehicles?","authors":"Petri Launonen ,&nbsp;Heikki Liimatainen ,&nbsp;Arto O. Salonen","doi":"10.1016/j.trf.2025.05.004","DOIUrl":"10.1016/j.trf.2025.05.004","url":null,"abstract":"<div><div>Weather conditions can significantly impact the demand for shared autonomous vehicles (SAVs). The aim of this study was to assess how difficult winter conditions affect passengerś intentions to use SAVs. This study compares passengers’ real-life perceptions and feelings between winter and summer conditions, and provides the first insights to the effects of difficult winter conditions. A quantitative convenience sample (n = 195) was collected from passengers traveling on SAVs in three trials in Finland in 2020–2023. We applied the Theory of Planned Behavior and analyzed the data using a nonparametric Kruskal-Wallis H test and post-hoc pairwise comparisons tests. According to the results, passengers’ perceptions in winter and summer conditions showed no statistically significant differences. Passengers’ attitudes, subjective norms, and perceived behavioral control, and through that, their intentions to use SAVs were at a high level in both summer and winter conditions. Still, there were many differences between different user groups, especially in winter. In difficult winter conditions, passengers’ readiness to use SAVs and their willingness to shift from non-motorized modes of transport to SAVs can affect positively the use of SAVs. As the most important key finding, the study highlights the significance of speed. If the speed cannot be increased, the use of SAVs will not be beneficial for large masses of users. The article concludes that more research is needed both on winter condition-related factors and also on changes in passenger attitudes as the speeds of SAVs increase and remote operators replace safety drivers.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 386-408"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083792","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":"From sci-fi to reality: exploring user satisfaction and loyalty toward autonomous vehicle services through an extended expectation-confirmation model","authors":"Liang Wu ,&nbsp;Gustave Florentin Nkoulou Mvondo","doi":"10.1016/j.trf.2025.05.003","DOIUrl":"10.1016/j.trf.2025.05.003","url":null,"abstract":"<div><div>China has recently permitted autonomous vehicle (AV) companies to offer fully driverless ride-hailing services to the public, marking a significant milestone toward vehicles operating entirely without human intervention. As these services continue to expand across major cities, it becomes increasingly important to understand the factors that influence user satisfaction during the post-adoption stage, as well as the outcomes for AV service providers. To this end, this study proposes an extended expectation-confirmation model (ECM) that integrates key constructs from the unified theory of acceptance and use of technology (UTAUT2), coolness theory, perceived security, satisfaction, brand love, and loyalty. Data were collected from 489 actual AV users in China through purposive sampling and analyzed using partial least squares structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). The results show that expectation confirmation, performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, price value, perceived security, attractiveness, subcultural appeal, and originality significantly influence user satisfaction—with performance expectancy, subcultural appeal, and perceived security emerging as the most influential factors. Furthermore, satisfaction drives brand love, which in turn fosters brand loyalty. The proposed model accounts for 72.1 % of the variance in user satisfaction, while fsQCA identifies four distinct configurations leading to high and low satisfaction. This study contributes to AV research by shifting the focus from adoption intentions to post-adoption experiences, integrating both rational and emotional drivers of satisfaction. From a practical perspective, the findings offer actionable insights for AV service providers seeking to design user-centered experiences that not only meet functional expectations but also build emotional bonds that drive long-term loyalty.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 409-425"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090382","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":"Using Australian Naturalistic Driving Study data to explore non-driving task engagement across young novice and experienced drivers","authors":"Sjaan Koppel ,&nbsp;Kristie Young ,&nbsp;Huiyi Liang ,&nbsp;Brett Molesworth ,&nbsp;Jan Eusebio ,&nbsp;Teresa Senserrick ,&nbsp;Ann Williamson ,&nbsp;Jake Olivier ,&nbsp;Fletcher J. Howell ,&nbsp;Hayley McDonald ,&nbsp;Narelle Haworth ,&nbsp;Sheila G. Klauer ,&nbsp;Judith L. Charlton","doi":"10.1016/j.trf.2025.05.010","DOIUrl":"10.1016/j.trf.2025.05.010","url":null,"abstract":"<div><div>Understanding the differences in non-driving task engagement between young and experienced drivers is crucial for developing effective policies to reduce distracted driving and distracted-related crashes. This study examined the prevalence and types of non-driving task engagement among young (17–18 years) and experienced (25–62 years) drivers across various driving contexts, including the presence of passengers, whether the vehicle was in motion, and different light and weather conditions. Data were drawn from the Young Australian Naturalistic Driving Study (YANDS) and the Australian Naturalistic Driving Study (ANDS). Forty-two trips were randomly selected from each dataset (totalling 84 trips). To ensure data quality, trips lasting less than one minute or more than one hour were excluded. Analysts manually coded 29 different types of non-driving task engagement events from video footage. Generalized Linear Mixed Models (GLMM) with a negative binomial distribution and driver-level random effects were conducted to assess the impact of driver demographics and driving context on non-driving task engagement, accounting for multiple trips by the same driver. Both young and experienced drivers frequently engaged in non-driving tasks. Experienced drivers spent 45.3 % of their driving time on non-driving tasks, initiating a task every 1.8 min. In contrast, young drivers spent 58.4 % of their driving time on non-driving tasks, initiating a task every 3.1 min. Young drivers were more likely to engage in longer-duration tasks, such as talking or singing. In contrast, experienced drivers tended to engage in shorter, discrete tasks, like interacting with the centre console or adjusting non-critical vehicle controls. Additionally, compared to young drivers, experienced drivers were more likely to initiate non-driving tasks when the vehicle was stationary. Young drivers appeared less adept, often engaging in longer tasks more frequently while the vehicle was in motion. In contrast, experienced drivers demonstrated better self-regulation, typically engaging in non-driving tasks when the vehicle was stationary. These findings highlight the need for targeted interventions to educate young drivers about the risks of prolonged non-driving tasks and promote safer engagement strategies, which are critical for shaping road safety policies to reduce distraction-related crashes, particularly among young drivers.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 374-385"},"PeriodicalIF":3.5,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070958","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}