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

What influences crash risk and crash prevalence for e-scootering? Insights from a naturalistic riding study 是什么影响了电动滑板车的碰撞风险和碰撞发生率？一项自然主义骑行研究的见解

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-06-01 DOI: 10.1016/j.trf.2025.05.030

Rahul Rajendra Pai, Marco Dozza

{"title":"What influences crash risk and crash prevalence for e-scootering? Insights from a naturalistic riding study","authors":"Rahul Rajendra Pai, Marco Dozza","doi":"10.1016/j.trf.2025.05.030","DOIUrl":"10.1016/j.trf.2025.05.030","url":null,"abstract":"<div><div>Naturalistic data, i.e. data collected in real traffic by road users attending their daily routines, are the gold standard for crash causation analyses. In fact, these data can show the pre-crash road-user behaviour that is hard to observe from other crash data. Naturalistic data from 6868 trips by 4694 distinct participants, collected over a period of 1.5 years from 17 e-scooters, were used to estimate crash risk by means of odds ratios (OR) and crash prevalence by population attributable risk percentage (PARP). We computed OR and PARP, comparing crashes and near-crashes to baseline events from normal riding. The baselines were selected through both matching and random sampling strategies in order to expand and increase the statistical significance of previous results—while also providing new methodological insights for future research on crash causation. This study also investigated the impact of different baseline–to–safety–critical event ratios for the assessment of crash risk.</div><div>From a safety perspective, our findings suggest that safety interventions that reduce leisure trips, exposure to intersections, trips on Fridays and Saturdays, pack riding, and inexperienced riding should be prioritised. From a methodological perspective, we showed how combining random and matched baselines can help quantify the crash risk and crash prevalence for micromobility vehicles. The results from this study may encourage policymakers to make data-driven decisions regarding e-scooter regulations. Future research should combine data from naturalistic studies and crash databases with data from the perspective of other road users to provide a more holistic view of e-scooter safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 160-170"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185316","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}

引用次数: 0

Exploring the impact of driver feedback on safety: A systematic review of studies in real-world driving conditions 探索驾驶员反馈对安全的影响：对现实驾驶条件研究的系统回顾

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-31 DOI: 10.1016/j.trf.2025.05.028

Armira Kontaxi, Apostolos Ziakopoulos, George Yannis

{"title":"Exploring the impact of driver feedback on safety: A systematic review of studies in real-world driving conditions","authors":"Armira Kontaxi, Apostolos Ziakopoulos, George Yannis","doi":"10.1016/j.trf.2025.05.028","DOIUrl":"10.1016/j.trf.2025.05.028","url":null,"abstract":"<div><div>Driver feedback has emerged as a promising tool for improving road safety by influencing driver behavior, propelled by technological advancements. After implementing a PRISMA framework and locating 597 candidate studies, this systematic review selects and examines 34 studies in real-world driving conditions that investigate the role of driver feedback towards improving driving behavior. The review explores the various types of feedback systems used, including smartphone applications, in-vehicle systems, and web-based platforms, and evaluates their effectiveness in reducing risky driving behaviors such as speeding, harsh braking, and mobile phone use. The studies are analyzed in terms of their experimental frameworks, including sample sizes, feedback delivery methods, and feedback phases, along with statistical models employed to assess the impact of feedback on driving behavior and road safety. Additionally, this review highlights research gaps, such as the need to account for traffic conditions and vulnerable road users, while also discussing the potential of emerging technologies like Internet of Things (IoT) and machine learning to enhance the customization and real-time applicability of feedback systems. The findings suggest that driver feedback can significantly reduce crash risks and improve driving behavior, but further research is required to explore its long-term effects and broader applicability<strong>.</strong></div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 118-140"},"PeriodicalIF":3.5,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178819","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}

引用次数: 0

Head movements predict pedestrian crossing decisions earlier than walking speed 头部运动比步行速度更早地预测行人过马路的决定

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-31 DOI: 10.1016/j.trf.2025.05.015

Max Theisen , Melina Bergen , Wolfgang Einhäuser , Caroline Schießl

{"title":"Head movements predict pedestrian crossing decisions earlier than walking speed","authors":"Max Theisen , Melina Bergen , Wolfgang Einhäuser , Caroline Schießl","doi":"10.1016/j.trf.2025.05.015","DOIUrl":"10.1016/j.trf.2025.05.015","url":null,"abstract":"<div><div>Understanding the behaviour of pedestrians when crossing roads is crucial to improving safety, as pedestrians are the most vulnerable road users, but also the most difficult to predict. Previous research has examined how pedestrians, who intend to cross a road, assess vehicle speed and distance for gap acceptance. However, little attention has been given to the role of head movements as predictor for crossing decisions. Besides by the crossing intention, head movements are also influenced by the approach process to the kerb and the potential traffic directions, but both factors are rarely studied. Here, we compare the predictive power of head movements and walking speed for crossing decisions by examining how pedestrians approach a crossing location while simultaneously looking for crossing opportunities. We used an omnidirectional treadmill combined with a head-mounted display to investigate the crossing behaviour of 36 participants. Our results demonstrate that in the first seconds after pedestrians notice the car, the head-turning frequency is a stronger predictor for the crossing decision than the walking speed. As time passes, the walking speed becomes more useful than the head information and reaches a perfect predictive power shortly before pedestrians cross the kerb. These findings suggest that head orientation could be used as a predictive feature in the initial phase of the crossing and walking speed in the later phase. Ultimately, this research highlights the need for future studies that investigate pedestrian behaviour under more realistic conditions, providing insights relevant to behaviour prediction models for pedestrian protection in automated driving.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 586-608"},"PeriodicalIF":3.5,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184950","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}

引用次数: 0

Does trust even matter? Behavioral evidence for the disconnect between people’s subjective trust and decisions to use autonomous vehicles 信任真的重要吗？行为证据表明，人们的主观信任与使用自动驾驶汽车的决定之间存在脱节

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-29 DOI: 10.1016/j.trf.2025.05.024

Paul D.S. Fink , Justin R. Brown , Karalyn M. Kutzer , Nicholas A. Giudice

{"title":"Does trust even matter? Behavioral evidence for the disconnect between people’s subjective trust and decisions to use autonomous vehicles","authors":"Paul D.S. Fink , Justin R. Brown , Karalyn M. Kutzer , Nicholas A. Giudice","doi":"10.1016/j.trf.2025.05.024","DOIUrl":"10.1016/j.trf.2025.05.024","url":null,"abstract":"<div><div>One of the most prevalent findings in the autonomous transportation literature is the strong connection between human trust and intentions to use autonomous vehicles (AVs). Indeed, trust is widely regarded as an essential antecedent for the adoption of AVs, a finding based primarily on survey-based methodologies. However, psychological theory has long suggested that self-reported measures of intention are fraught with contradiction – people often say one thing and do another. We examine this potential dichotomy here by experimentally characterizing the relationship between self-reported trust and behavioral decisions to use AVs. An initial survey of 444 participants assessed trust in AVs, identifying three trust categories: high, moderate, and low. Results demonstrated that people trust human rideshare drivers more than AVs. A subsequent in-lab behavioral study with 72 of these participants involved choosing a ride in an AV or a human-driven vehicle. Contrary to prevailing assumptions, our results reveal a deep chasm between intention and behavior: 97 % of participants, regardless of trust rating, chose to ride in the AV. This finding indicates that situational context, curiosity, and immediate circumstances heavily influence decision-making, mediating (and even overshadowing) self-reported trust levels. Employing Cognitive Dissonance Theory, we offer potential explanations for why participants reconciled their initial distrust with their subsequent actions. Our findings challenge the narrative that self-reported trust determines AV adoption and highlight the importance of situational factors in shaping user behavior. Using these results, we offer new insights and guidance for deploying AVs, suggesting that controlled, low-risk environments could facilitate broader acceptance of this emerging technology, providing a practical solution to the AV trust problem.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 99-117"},"PeriodicalIF":3.5,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167099","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}

引用次数: 0

Never being aggressive is important: A nationally representative survey of aggressive driving in Australia 从不咄咄逼人很重要：澳大利亚一项具有全国代表性的咄咄逼人驾驶调查

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-29 DOI: 10.1016/j.trf.2025.05.023

A.N. Stephens, S.N. How, R. Crotty, J. Oxley

{"title":"Never being aggressive is important: A nationally representative survey of aggressive driving in Australia","authors":"A.N. Stephens, S.N. How, R. Crotty, J. Oxley","doi":"10.1016/j.trf.2025.05.023","DOIUrl":"10.1016/j.trf.2025.05.023","url":null,"abstract":"<div><div>The Driving Anger Expression Inventory (DAX; Deffenbacher et al., 2002) is an established tool to measure the frequency of different types of aggressive driving (verbal, personal physical and aggressive use of the vehicle) as well as constructive responses to anger. This study assessed the applicability of DAX on a representative sample of 2,108 drivers from Australia (men = 49.8 %, women = 49.7 %, non-binary/gender-diverse = 0.05 %), ranging in age from 18 to 95 years (M = 46.5; SD = 17.8). Drivers completed an online survey comprising demographic information and the 15-item DAX. Importantly, the scale used in this study sought frequency responses across 5 categories (never, almost never, occasionally, often or almost always); whereas previous applications have not used a never response. Confirmatory Factor Analysis (CFA) showed that the four-factor structure was suitable for drivers in Australia. Multigroup CFA confirmed DAX was invariant across age, gender and main purpose of driving (work or leisure). Aggression was higher for men compared to women; work drivers compared to leisure drivers; and, drivers aged 26 to 39 years compared to younger (aged 18 to 25 years) or older drivers (aged 40 to 64 and 65 + years). After controlling for age and annual kilometres driven, higher scores on DAX were associated with increased odds of having been in a crash or having received a traffic fine in the past 12 months. The findings demonstrate that DAX is a viable tool to measure aggressive driving in Australia which should be administered with a never option.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 86-98"},"PeriodicalIF":3.5,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167096","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}

引用次数: 0

Examining Drivers’ red- and Yellow-Light running behaviors: An extended theory of planned behavior approach 司机闯红灯和黄灯行为的研究：计划行为方法的扩展理论

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-28 DOI: 10.1016/j.trf.2025.05.026

Mostafa Nowroozian, Abdoul-Ahad Choupani

{"title":"Examining Drivers’ red- and Yellow-Light running behaviors: An extended theory of planned behavior approach","authors":"Mostafa Nowroozian, Abdoul-Ahad Choupani","doi":"10.1016/j.trf.2025.05.026","DOIUrl":"10.1016/j.trf.2025.05.026","url":null,"abstract":"<div><div>The prevalence of red-light running (RLR) among drivers in Iran is notably high. To mitigate RLR violations and alleviate the anxiety of stopping behind traffic lights, traffic authorities implemented various types of systems to display the remaining traffic light time, such as hourglass, tally, and countdown timers. This study applies and extends the theory of planned behavior (TPB) to describe the drivers’ yellow light running (YLR) and RLR intentions at intersections equipped with various timers. Furthermore, this research identifies whether extended TPB framework explains drivers’ RLR/YLR intentions with and without prior violations. A total of 680 questionnaires were collected, including 280 for RLR and 400 YLR. While drivers did not deny the benefits of RLR/YLR and the social pressure to engage in these behaviors, their intentions were highly influenced by the facilitating conditions, descriptive norms, and conformity tendency. These findings suggest that drivers crossed the intersection because they observed others doing so, wanted to emulate such behavior, and found external conditions favorable for crossing. Drivers perceived a lack of personal control over the negative consequences and legal responsibilities associated with passing intentions. Multi-group analysis revealed significant differences between almost all the psychological variables of red- and yellow-light runners. However, no meaningful differences were observed based on the type of timer faced by drivers or the frequency of prior violations. These findings can guide the development of strategies to encourage compliance with red/yellow signals through targeted (re)training courses or safety awareness campaigns.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 49-68"},"PeriodicalIF":3.5,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148041","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}

引用次数: 0

Exploration of the Social-Psychological factors associated with Drivers’ engagement in protective cybersecurity behaviors: A TPB-based perspective 驾驶员参与保护性网络安全行为的社会心理因素探讨：基于tbp的视角

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-28 DOI: 10.1016/j.trf.2025.05.025

Jiayi Yi , Woojoo Kim , Dengbo He , Haolong Hu , Chunxi Huang

{"title":"Exploration of the Social-Psychological factors associated with Drivers’ engagement in protective cybersecurity behaviors: A TPB-based perspective","authors":"Jiayi Yi , Woojoo Kim , Dengbo He , Haolong Hu , Chunxi Huang","doi":"10.1016/j.trf.2025.05.025","DOIUrl":"10.1016/j.trf.2025.05.025","url":null,"abstract":"<div><div>With the advancements in hardware and software technologies, connected vehicles (e.g., vehicles with connections to the internet) become increasingly prevalent and their owners face growing cybersecurity threats. Therefore, it is important to investigate the social and behavioral factors that are associated with drivers’ engagement in cybersecurity-related behaviors to develop effective solutions. To this end, this paper explores the socio-psychological factors (e.g., attitude, norms, and perceived behavioral control) influencing drivers’ engagement in several cybersecurity-related behaviors through an exploratory survey study, grounded in the Theory of Planned Behavior. Based on responses from 405 connected vehicle owners, a partial least squares structural equation model was constructed to examine the structural relationships between key predictors and self-reported engagement in cybersecurity-related behaviors. Results indicate that perceived behavioral control emerged as the strongest predictor, while attitude, descriptive norms, and injunctive norms also played significant roles, their influence varied across demographic groups. Interestingly, objective cybersecurity knowledge showed substantial inter-individual differences but was not directly linked to engagement. Findings from the current study offer valuable insights into behavioral mechanisms underlying cybersecurity practices in the context of connected vehicles, informing strategies to enhance protective measures for drivers against emerging cyber threats.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 69-85"},"PeriodicalIF":3.5,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148040","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}

引用次数: 0

A predictive analysis of crash proneness among freight drivers: insight into latent risk dimensions 货运司机碰撞倾向的预测分析：对潜在风险维度的洞察

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-26 DOI: 10.1016/j.trf.2025.05.014

Abbas Sheykhfard , Fengxiang Qiao , Subasish Das , Dominique Lord

{"title":"A predictive analysis of crash proneness among freight drivers: insight into latent risk dimensions","authors":"Abbas Sheykhfard , Fengxiang Qiao , Subasish Das , Dominique Lord","doi":"10.1016/j.trf.2025.05.014","DOIUrl":"10.1016/j.trf.2025.05.014","url":null,"abstract":"<div><div>This research investigates the complex determinants of crash occurrences among freight vehicle drivers, a neglected issue in developing countries like Iran, where high crash rates highlight the urgent need for further study. The primary aim is to establish a predictive model for drivers’ proneness to crashes based on survey data from a diverse driver cohort. The dependent variable of this study is the frequency of the reported accident, and a set of computed variables from questionnaires as independent predictors. In-depth analysis of factors identified a new structure classifying these predictors into three latent dimensions: demographic attributes, personality traits, and levels of perceived risk. The meaningful analyses of factors contributing to crash proneness emphasized demographic elements: driver mid-aged, recent traffic violations, high annual driving mileage, and limited driving experiences are significant predictors of crashing that excessively heighten crash risk. Additionally, certain personality traits, in particular psychoticism, and a negative attitude toward perceiving risks increase proneness to crashing. These findings point out the pressing need for targeted, evidence-based interventions, education, and policy reforms regarding the different driver profiles that manifest certain vulnerabilities. In this regard, there is a need to take an approach that comprehensively embraces the aspects of social norms, individual beliefs, emotional well-being, and personality factors in an effort toward enhanced road safety and reduction in crashes involving freight vehicles. By so doing, policy framers and interested stakeholders will be better placed to develop effective strategies to counter the increasing trend in freight vehicle crashes.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 30-48"},"PeriodicalIF":3.5,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134147","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}

引用次数: 0

Algorithmic management stressors and aggressive driving behavior: Roles of attentiveness and regulatory focus 算法管理压力源和攻击性驾驶行为：注意力和监管焦点的作用

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-24 DOI: 10.1016/j.trf.2025.05.021

Zhenduo Zhang , Jianing Guo , Qian Li , Huan Xiao

{"title":"Algorithmic management stressors and aggressive driving behavior: Roles of attentiveness and regulatory focus","authors":"Zhenduo Zhang , Jianing Guo , Qian Li , Huan Xiao","doi":"10.1016/j.trf.2025.05.021","DOIUrl":"10.1016/j.trf.2025.05.021","url":null,"abstract":"<div><div>The rise of ride-hailing platforms has changed customers’ travel preferences and improved traffic efficiency. However, even though they are vital to ensuring customers’ safety and satisfaction, the roles of algorithmic management stressors in shaping ride-hailing drivers’ driving behavior are not well understood. This study draws on affective event theory to theorize how algorithmic management challenge and hindrance stressors manifest themselves in impacting aggressive driving behavior in the context of ride-hailing services. A time-lagged questionnaire survey design was used to collect data from 330 drivers working for ride-hailing services at four different time points. Latent mediation-moderation structural equation modeling was used to test the conceptual model. The results indicate that: 1) Algorithmic management challenge stressors undermine, while hindrance stressors promote, aggressive driving behavior. 2) Attentiveness mediates the indirect impacts of both algorithmic management challenge and hindrance stressors on aggressive driving behavior. 3) Promotion regulatory focus amplifies the indirect negative relationship that links algorithmic management challenge stressors through attentiveness to aggressive driving behavior. 4) Prevention regulatory focus amplifies the indirect positive relationship that links algorithmic management hindrance stressors through attentiveness to aggressive driving behavior. This study incorporates the aggressive driving behavior of ride-hailing drivers in the algorithmic era into road safety research by integrating the affective pathway of attention and drivers’ characteristics. The aim is to contribute to the understanding of the mechanisms and boundaries between algorithmic management stressors and aggressive driving behavior.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 16-29"},"PeriodicalIF":3.5,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144130916","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}

引用次数: 0

Proud to go electric: Overcoming perceived functional barriers to EV adoption through congruent messaging frames 以电动汽车为傲：通过一致的消息框架克服电动汽车采用的功能性障碍

IF 3.5 2区工程技术

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-05-24 DOI: 10.1016/j.trf.2025.05.019

Rory Mulcahy, David Fleischman, Margarietha J de Villiers Scheepers, Nicolas Reichenbach

引用次数: 0