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

{"title":"Proud to go electric: Overcoming perceived functional barriers to EV adoption through congruent messaging frames","authors":"Rory Mulcahy,&nbsp;David Fleischman,&nbsp;Margarietha J de Villiers Scheepers,&nbsp;Nicolas Reichenbach","doi":"10.1016/j.trf.2025.05.019","DOIUrl":"10.1016/j.trf.2025.05.019","url":null,"abstract":"<div><div>Growing reports indicate a slowdown in electric vehicle (EV) sales, particularly among consumers yet to embrace this sustainable transportation option. A key functional barrier to adopting EVs relates to infrastructure, maintenance, and range anxiety issues. This study explores how marketing can address this barrier by framing messages to evoke anticipated pride in owning an EV, thus reducing range anxiety, charging inconvenience, and ultimately increasing purchase intentions. Grounded in construal level theory and affect-as-information theory, the study employs an online experiment with 223 Australian consumers yet to purchase an EV. Results reveal that concrete, self-targeted messages yield greater purchase intentions, driven by increased anticipated pride in ownership and reduced perceived functional barriers. These findings underscore the importance of framing in marketing messaging to encourage EV adoption and offer practical implications for EV brands and policymakers.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 1-15"},"PeriodicalIF":3.5,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124076","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":"Predicting emergency decision-making in conditionally automated driving from personality traits and heart rate","authors":"Uijong Ju ,&nbsp;Hoe Sung Ryu ,&nbsp;Christian Wallraven","doi":"10.1016/j.trf.2025.05.011","DOIUrl":"10.1016/j.trf.2025.05.011","url":null,"abstract":"<div><div>Emergency situations in conditionally automated driving force the driver to quickly take over control from the artificial intelligence (AI). Studying which aspects can influence such driver decisions is crucial for developing safer automated driving technologies. In the present study, we hence ask whether decision-making both during and after take over can be predicted based on personal factors as well as physiological measures. Our experiment employed a realistic virtual reality (VR) scenario with an automated driving environment in which participants were able to change the driving mode. The scenario’s driving course contained multiple forks indicated by warning signs for which one direction was “safe” and the other led to a cliff. During the testing phase, pedestrians suddenly blocked the safe direction, and the AI informed the driver that it would steer the car off the cliff. Here, participants had two, staged decisions to make: whether to switch to manual driving or to continue in automated driving, and if they had switched, whether to “self-sacrifice” to save the pedestrians or not. In our sample of N = 108 participants, 83.3 % made the switch, and of these, 56.7 % steered away from the cliff trying to save themselves. Importantly, statistical analyses showed significant influence of psychopathy, perspective taking, gender, and heart rate on the decision-making after take over. Based on this data, we created a hard-voting prediction model that outperformed other machine learning benchmark algorithms, showing that it is possible to predict drivers’ decision-making after take over from personal and physiological data.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 570-585"},"PeriodicalIF":3.5,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124543","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":"Safety of children in school zones − A systematic review","authors":"Bhavna Katoch,&nbsp;Indrajit Ghosh,&nbsp;Satish Chandra","doi":"10.1016/j.trf.2025.05.020","DOIUrl":"10.1016/j.trf.2025.05.020","url":null,"abstract":"<div><div>Young pedestrians require substantial guidance and supervision while walking or crossing roads due to their limited spatial and cognitive skills and tendency for impulsive behaviour. These limitations, combined with complex traffic dynamics in school zones, increase their vulnerability to road traffic incidents. Common issues include a lack of awareness of traffic rules, sudden road entries by children, rear-end collisions, and traffic delays. Therefore, it is essential to comprehensively assess safety scenarios around school crossings and vicinities. While developed countries have introduced strict regulations, improved infrastructure, and advanced technologies to improve school zone safety, developing nations continue to struggle with disorderly traffic conditions, inadequate infrastructure, limited awareness, and high child pedestrian injury rates. This review integrates findings from 53 studies selected using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach, drawing from databases such as Web of Science, Google Scholar, ScienceDirect, and Scopus. The studies cover behavioural factors, sociodemographic influences, built environment features, and traffic-related aspects affecting children’s safety in school zones. Key findings highlight that risk-taking behaviours increase with age and peer interaction, especially during the afternoon hours. The role of crossing guards shows mixed effectiveness due to variations in implementation and local context. While the infrastructure elements and traffic calming measures are consistently associated with improved safety, their effectiveness differs across regions. Safety interventions show promising results but require continuous monitoring. The review also reveals a lack of longitudinal studies and context-specific solutions in low- and middle-income countries. The findings offer a foundation for future research and policy, encouraging child-centred road design and robust, sustainable interventions for improving school zone safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 554-569"},"PeriodicalIF":3.5,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124542","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":"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}