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

{"title":"Applying extended theory of planned behaviour to develop a high school traffic education programme","authors":"Manh Thong Vo ,&nbsp;Xuan Long Nguyen","doi":"10.1016/j.trf.2024.12.032","DOIUrl":"10.1016/j.trf.2024.12.032","url":null,"abstract":"<div><div>Although many traffic safety programmes have been developed to date, few integrate the identification of the causes of risky riding behaviours with the creation of targeted educational content. Therefore, the objective of this study is to develop an educational programme with appropriate content to raise awareness among high school students by targeting the latent factors affecting their intention to engage in risky riding behaviours. To accomplish this goal, this study was conducted in two phases. In the first phase, a TPB model and personality traits were applied to identify the causes of dangerous motorcycle-riding behaviours among high school students in Ba Ria-Vung Tau province, Vietnam. A total of 205 samples were analysed from the 399 questionnaires distributed to 10 classes. The data underwent exploratory factor analysis (EFA), partial least squares structural equation modelling (PLS-SEM), and Importance-Performance Map Analysis (IPMA) to identify the most significant latent factors influencing the intention to engage in risky riding behaviours. In the second phase, the findings from the PLS-SEM were used as a reference for the traffic safety education programme, which was combined with rational emotional behaviour therapy (REBT) to develop the programme’s content. Two classes, corresponding to the intervention and control groups, were selected from the initial phase to implement the developed education programme. To test the programme’s effectiveness, a Wilcoxon signed-ranks test was conducted, evaluating the level of improvement in awareness before and after participation using effect size (r). The findings indicate that the traffic safety education programme influenced attitude (r = 0.314) and descriptive norm (r = 0.712), thereby reducing their influence on the intention (r = 0.494) to engage in risky riding behaviours. This demonstrates the effectiveness of educational programmes in reducing risky riding behaviours among students. The study design, analytical methods, and results of the present study could assist educators to develop traffic safety education programs customized to specific areas, resulting in promoting efforts aimed at reducing risky riding behaviours among students.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 588-606"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099975","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":"When what’s on the outside counts: Protective motorcycle apparel","authors":"Darren Wishart,&nbsp;Shelly Weaver,&nbsp;Tobias Scholl","doi":"10.1016/j.trf.2024.12.033","DOIUrl":"10.1016/j.trf.2024.12.033","url":null,"abstract":"<div><div>The present study aims to investigate the intention to use non-mandatory protective motorcycle apparel in a sample of Australian motorcycle riders. Past research indicates that not all motorcyclists wear non-mandatory protective apparel on every ride. Given the efficacy of protective motorcycle apparel to reduce the severity of injuries and likelihood of fatality, it is important to understand the factors contributing to usage rates. The present study applied the Theory of Planned Behaviour to examine the factors driving and impeding use of mandatory and non-mandatory protective motorcycle apparel. Participants were 398 licenced motorcycle riders (80.9% male, 18.8% female, 0.3% other) who took part in an online survey assessing licence status, riding experience, primary reason for riding, returning rider status, protective motorcycle apparel use on their most recent ride, and all Theory of Planned Behaviour constructs (i.e., attitudes, subjective norms, perceived behavioural control, and intentions to wear protective motorcycle apparel), including the extended constructs of descriptive norms and anticipated regret. Overall, the results showed that the majority of riders in every age category wore a full faced helmet, motorcycle-specific top, gloves, boots, and impact protectors on their most recent ride. The results indicated that both the original and extended Theory of Planned Behaviour constructs were positively associated with intention to use protective motorcycle apparel. The present study provides preliminary evidence to suggest that the efforts by industry stakeholders to improve non-mandated protective motorcycle apparel use by Queensland motorcyclists have been efficacious..</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 607-618"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of feedback on powered two-wheeler riding behaviour: Insights from naturalistic data","authors":"Shivam Singh Chouhan ,&nbsp;Ankit Kathuria ,&nbsp;Ravi Sekhar Chalumuri","doi":"10.1016/j.trf.2025.01.010","DOIUrl":"10.1016/j.trf.2025.01.010","url":null,"abstract":"<div><div>In India, road crash reports highlighted that more than 74,000 Powered Two-Wheeler (PTW) riders lost their lives in the year 2022 and risky driving behaviour was the primary cause of road crashes. It is apparent from the statistics mentioned above that PTW safety has become a major problem. However, existing literature related to PTW safety is still not vast. This research addresses a gap in the existing literature by focusing on examining risky riding behaviours and exploring a feedback as a strategy to enhance PTW safety. The present study employed a comprehensive data collection strategy involving GPS data alongside the videography data. The data were collected for 45 riders in two stages. The first stage data was used to examine the relationship between riding behaviour measures and crash risk. Moreover, the findings indicate a significant positive correlation between riding behaviour measures and crash risk. Particularly noteworthy is the identification of a threshold values of 0.12 g and −0.14 g are deemed more appropriate for delineating harsh acceleration and braking events, respectively. Finally, this study aims to compute a riding behaviour score and analyse the impact of feedback on riding behaviour. The second stage of data collection was conducted to assess the impact of feedback on riding behaviour. Results show that both feedback-only and feedback with incentives conditions enhanced acceleration and braking scores, with significant improvements observed for the feedback with incentives phase. These findings suggest that combining feedback with low-cost financial incentives can effectively reduce risky riding behaviour among PTW riders.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1024-1048"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099990","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 models of pedestrian crossing behavior using neural signatures of decision-making","authors":"Siwei Ma ,&nbsp;Xuedong Yan ,&nbsp;Jac Billington ,&nbsp;Matteo Leonetti ,&nbsp;Natasha Merat ,&nbsp;Gustav Markkula","doi":"10.1016/j.trf.2025.01.047","DOIUrl":"10.1016/j.trf.2025.01.047","url":null,"abstract":"<div><div>Understanding and modelling pedestrian behavior is important for traffic safety, not least in the context of vehicle automation. There exist competing models for how pedestrians decide if and when to cross a road with oncoming traffic. Distinguishing between these competing models is non-trivial, but recent results in the cognitive neuroscience of decision-making offer a promising method, complementing behavioral data with electroencephalography (EEG): Previous EEG studies have shown that the centro-parietal positive potential (CPP) reflects evidence accumulation during abstract perceptual decision-making tasks, and that it can be used to arbitrate between alternative models of these tasks. However, it is not yet known whether the CPP can be used to support modeling in more complex, embodied contexts, such as human locomotion in road traffic. Here, we address this question by designing an EEG paradigm for pedestrian road-crossing. In a computer-based experiment,<!--> <!-->participants made road-crossing decisions in a simulated scenario where a car approached them under different time-to-arrival (TTA) conditions. Three perception-based drift diffusion models and one utility-based drift diffusion model were used to model the pedestrian behavior. The behavioral data showed a partial preference for the utility-based model over the perception-based drift diffusion models. The EEG data showed a CPP signal, which helped distinguish between the models in a way that behavioral data alone could not: CPP amplitude was positively correlated with accumulated evidence in the drift–diffusion models, and with stronger correlations for the utility-based model than for the perception-based models. Our results show that the CPP signature can be used to help arbitrate between competing decision-making models also in more embodied tasks, a finding which has applied implications not least in the context of traffic safety engineering and vehicle automation.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1491-1506"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376576","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":"Transition toward driverless robotaxi: Role of social anxiety, perceived safety, and travel habit","authors":"Xinyu Yao ,&nbsp;Jia Liu ,&nbsp;Xueqin Wang ,&nbsp;Yi Xiao ,&nbsp;Guanqiu Qi","doi":"10.1016/j.trf.2025.01.031","DOIUrl":"10.1016/j.trf.2025.01.031","url":null,"abstract":"<div><div>Robotaxi services integrate autonomous driving technology with traditional online ride-hailing and can meet the increasing demand for urban transportation. This study analyzed the factors influencing passengers’ intentions to transition from traditional ride-hailing to robotaxi services. Using the stimulus-organism-response framework and theory of planned behavior, we examined social anxiety (social environment anxiety, social performance concern, and stranger interaction avoidance) and technological factors (perceived technical safety and perceived operational safety) as external stimuli affecting individuals’ internal states and behaviors. Data from 510 valid questionnaires collected in China’s first-tier cities (Beijing, Shanghai, Guangzhou, and Shenzhen) revealed that social anxiety and perceived safety significantly affected transition intentions. Among the social anxiety variables, social environment anxiety had the strongest influence, followed by social performance concerns and stranger interaction avoidance. Additionally, travel habits emerged as a significant moderator between subjective norms and transition intentions and between perceived behavioral control and both transition intentions and behaviors. The classification of user groups based on levels of social anxiety and travel habits provided valuable insights; for instance, passengers with high social anxiety and weak travel habits were more inclined to transition to robotaxi services. These findings offer practical implications for urban planners and robotaxi service providers to address transportation challenges in rapidly urbanizing areas.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1402-1418"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143206127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors affecting driver speeding behavior in Mumbai school zones","authors":"Rahul Raoniar,&nbsp;Vedagiri Perumal","doi":"10.1016/j.trf.2024.12.029","DOIUrl":"10.1016/j.trf.2024.12.029","url":null,"abstract":"<div><div>Reckless driving, especially speeding, is a dangerous behavior associated with fatalities, particularly among school children, and it greatly contributes to deadly accidents in school zones. Therefore, it is crucial to comprehend the elements that encourage speeding in these sensitive areas. This study examined how driver, vehicle, and roadway characteristics, as well as land-use patterns, influence speeding behavior in school zones by assessing the spot speeds of 7,197 vehicles from 11 school zones in Mumbai, India. These zones were chosen through zone-weighted cluster random sampling from a total of 4,150 school records. Results showed that 28.64% of vehicles surpassed the designated speed limits of 30 km/h. The analysis using a random intercept binary logistic regression model identified several factors affecting speeding behavior. Male drivers were 7.6% more likely to speed than female drivers. The location of the school influenced speeding, with probability 36.2% higher in unsignalized mid-blocks compared to signalized mid-blocks. Motorcycle drivers had the highest probability of speeding (11.8%), followed by SUVs (9.7%) and minivans (5.8%). Road environment characteristics also affected speeding. Wider roads were associated with increased speeding, while wider parking lanes led to a substantial decrease in speeding behaviors. These results provide urban planners and road safety programs with crucial insights. Addressing these factors can create safer school zones and protect children.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 652-671"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099550","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":"Video-based hazard prediction and perception tests for Chinese motorcyclists and their associations with crash involvement","authors":"Jiahong Liu,&nbsp;Long Sun,&nbsp;Wenchengxu Li","doi":"10.1016/j.trf.2025.01.040","DOIUrl":"10.1016/j.trf.2025.01.040","url":null,"abstract":"<div><h3>Introduction</h3><div>Hazard perception, which is closely related to crash involvement, is the ability to anticipate potential hazards on road. However, because of the lack of valid instruments, studies concerning the hazard perception of motorcycle riders and its associations with crash involvement are very limited in China. This study aims to develop a short hazard perception test and a short hazard prediction test using the response time method and hazard prediction paradigm, respectively.</div></div><div><h3>Methods</h3><div>This study presents 12 video clips, filmed from the motorcycle rider’s perspective, to experienced motorcycle riders (<em>n</em> = 48) and novice riders (<em>n</em> = 44). The hazard perception test requires a timed button-press response to the appearance of a hazard, whereas the hazard prediction test requires the participants to answer several questions after the clips are occluded right before the hazard unfolds.</div></div><div><h3>Results</h3><div>The hazard prediction test and the hazard perception test both involved 10 video clips with reliabilities of 0.75 and 0.61, respectively. Significant experience-related differences were found, with experienced motorcycle riders scoring higher on the hazard prediction test and responding to hazards faster than novice riders did. Age had no significant effect on the response times or the scores on the hazard prediction test because of the limited age range (19–34 years) of the motorcycle riders in this study. More important, motorcycle riders who had been involved in previous traffic crashes had lower scores on the hazard prediction test and longer response times to hazards than their peers who had not been involved in traffic crashes did, providing evidence for known-group validity (an instrument’s ability to distinguish among distinct groups).</div></div><div><h3>Conclusion</h3><div>The two short tests developed in this study have acceptable reliability and validity and are extremely useful tools for the assessment and classification of motorcycle riders in China.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1197-1207"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099563","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":"Driver’s gaze behavior when approached by an emergency vehicle – The effects of in-car warnings and system introduction","authors":"Kajsa Weibull ,&nbsp;Björn Lidestam ,&nbsp;Erik Prytz","doi":"10.1016/j.trf.2024.12.010","DOIUrl":"10.1016/j.trf.2024.12.010","url":null,"abstract":"<div><div>This study investigates drivers’ eye gaze behavior in response to Emergency Vehicle Approaching (EVA) warnings. EVA warnings, delivered through in-car alerts, provide advance notice of approaching EVs, enabling drivers to move over in time. Previous research indicates that EVA warnings influence driver behavior positively, promoting safer interactions. This study expands further by exploring the role of system introduction to make drivers benefit from EVA warnings.</div><div>A simulator experiment with 73 participants was conducted. Before driving, half of the participants were introduced to the EVA system. The participants were driving on a highway and were overtaken by EVs twice during a 20-minute drive. During the drive, half of participants received EVA warnings. Gaze distribution was analyzed in three areas of interest (Forward, Mirrors, Dashboards). Analysis of driving simulator data did not reveal any differences in driving behaviors. However, the analysis of drivers’ gaze distribution suggests that EVA warnings contribute to increased mirror usage, indicating early scanning for approaching EVs. Furthermore, drivers who were introduced to the EVA system before driving but never received an EVA warning in the simulator looked through the front windshield less than drivers who were introduced and received an EVA warning.</div><div>This study contributes to understanding the driver gaze behavior when receiving an in-car warning for emergency vehicles and supports previous findings regarding EVA warnings positive impact of driver behavior.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 137-146"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revealing the speeding principle based on the extended theory of planned behavior","authors":"Huan Liu ,&nbsp;Xianyong Liu ,&nbsp;Miao Jia","doi":"10.1016/j.trf.2025.01.028","DOIUrl":"10.1016/j.trf.2025.01.028","url":null,"abstract":"<div><div>Driver speeding is one of the main causes of deteriorating traffic safety and is a common problem encountered in traffic safety management worldwide. In this study, structural equation modeling of the influencing factors of driver speeding based on the theory of planned behavior (TPB) model is performed to explore the mechanism of highway driver speeding, and the extended factors of driver normlessness, sensation-seeking tendencies, road environment characteristics, and travel scenarios are introduced. The study collected 463 valid samples via a Web survey method. The model results showed that the extended TPB model can explain 79% of the variation in self-reported speeding behavior. Perceptual behavioral control, time-saving benefits, and attitude are the most important influences of speeding intention, with standardized path coefficients of 0.42, 0.36, and 0.32, respectively. Sensation-seeking tendency and normlessness are the next most important factors, with standardized path coefficients of 0.20. The least influential factor is subjective norms, with a standardized path coefficient of 0.19. The environmental dangerousness of roads negatively affects the intention to speed. The optimal scale model results indicated that shoulder width, slope type, and roadside landscape significantly affect perceived dangerousness, in decreasing order of importance. Increased sensation-seeking tendencies not only directly affect the intention to speed but also indirectly affect speeding intention through attitude, and the mediating effect is significant. This study aims to assist transportation researchers in comprehensively understanding the mechanism of driver speeding, allowing them to gain a new vision for investigating ways to regulate driver speeding behavior.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1080-1099"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drive first or yield? Effect of complexity on cooperation behavior at deadlock-situations at T-intersections","authors":"Nadine-Rebecca Strelau,&nbsp;Barbara Deml","doi":"10.1016/j.trf.2024.12.035","DOIUrl":"10.1016/j.trf.2024.12.035","url":null,"abstract":"<div><div>Deadlock-situations at intersections, where the right-of-way is not clearly regulated, pose challenges for automated vehicles (AVs) in mixed traffic. For AVs to show behavior that is accepted by all traffic participants, it is important to understand the cooperation behavior of manual drivers in these situations. Three studies were conducted where the effect of complexity on cooperation behavior at deadlock-situations was examined. Participants watched videos of approaches to T-intersections where a deadlock-situation occurred but was not yet resolved. After each video they reported their intended behavior, the perceived difficulty and visual clutter of the situation as well as the anticipated behavior of the cooperation vehicles. Complexity was manipulated with visual built clutter, pedestrians and additional traffic. Results show minimal effect of complexity on perceived difficulty and visual clutter as well as cooperation behavior. However, cooperation behavior was significantly influenced by approach position. When approaching from below drivers are more likely to yield compared to approaches from left or right. Additionally, when a vehicle is driving through the intersection directly in front of the driver they show higher probabilities of driving first through the intersection. The anticipated behavior of the cooperation vehicles is influenced both by their approach position and the right-of-way rule from the driver’s perspective, suggesting that the right-of-way rules are not correctly understood and therefore the deadlock-situation is not recognized as such. Recommendations for the behavior of automated vehicles in these situations are derived from the findings of the studies.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 754-769"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}