{"title":"How does the built environment affect pedestrian perception of road safety on sidewalks? Evidence from eye-tracking experiments","authors":"Shenjun Yao , Ningcheng Wang , Jianping Wu","doi":"10.1016/j.trf.2025.02.005","DOIUrl":"10.1016/j.trf.2025.02.005","url":null,"abstract":"<div><div>Enhancing pedestrians’ perception of traffic safety can improve residents’ well-being and encourage walking. This study explores how the built environment influences pedestrians’ perception of road safety from the perspective of human-environment interaction by highlighting the perception process of pedestrians to the environment. We recruited 67 participants to conduct eye-tracking experiments and collected 1030 records of pedestrians’ safety perceptions concerning motor vehicles and bicycles. The results indicate that visual environmental factors influence pedestrians’ safety perceptions. Prolonged fixation duration proportions on motor vehicles and a higher percentage of roadways in the field of view make pedestrians feel dangerous, whereas vegetation and lane fences can enhance their feeling of safety. This study also proves that pedestrians with lower environmental familiarity are more sensitive to environmental elements. These findings provide a preliminary understanding of pedestrians’ safety perception on sidewalks, thereby offering valuable insights for proactive road safety management and pedestrian-friendly urban planning.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 57-73"},"PeriodicalIF":3.5,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387604","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}
Ning Liu, Xiaomeng Li, Ronald Schroeter, Andry Rakotonirainy
{"title":"Examining older drivers’ acceptance of fully automated vehicles by considering their health and driving ability conditions","authors":"Ning Liu, Xiaomeng Li, Ronald Schroeter, Andry Rakotonirainy","doi":"10.1016/j.trf.2025.02.009","DOIUrl":"10.1016/j.trf.2025.02.009","url":null,"abstract":"<div><div>Older adults often face outdoor mobility challenges due to age-related declines in vision, cognitive and physical functions. Although there is still a great proportion of older drivers who continue to drive, some have gradually reduced their driving frequency or even ceased driving. Automated Vehicle technology has developed rapidly and has the potential to benefit older drivers in maintaining their mobility and social activities. However, these prospective benefits can only be achieved if older drivers intend to use Automated Vehicles. This study aims to investigate older drivers’ intention to use Fully Automated Vehicles based on the Theory of Planned Behaviour by considering the impact of their perceived health, perceived driving ability and current driving patterns. A total of 672 participants consisting of 197 females and 475 males who lived in Australia joined the study and completed an online survey, and the collected data were analysed by using the Structural Equation Modelling. The results indicate that the older drivers’ intention to use Fully Automated Vehicles decreased with their age and increased with their education levels. Older driver who had more experience in using Advanced Driver Assistance Systems were more likely to use Fully Automated Vehicles, and those who tended to avoid challenging driving situations (e.g., night driving, highways) were likely conservative in using Fully Automated Vehicles. The Theory of Planned Behaviour constructs of attitudes and subjective norms played mediating effects between perceived health, perceived driving ability and the intention to use Fully Automated Vehicles. Older drivers with lower perceived health were more likely to exhibit negative attitudes and a lower level of subjective norms towards Fully Automated Vehicles, ultimately leading to a lower intention to use them. Overall, the findings provide deep insights into the key individual determinants influencing older drivers’ intention to use Fully Automated Vehicles and offer strategic policy recommendations to encourage the adoption of Fully Automated Vehicles when they become available.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 74-87"},"PeriodicalIF":3.5,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387605","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}
Mingyu Hou , Chenzhu Wang , Said M. Easa , Jianchuan Cheng , Jiaxuan Cheng
{"title":"Cognitive decision process of pedestrians in street crossing: Insights from prototype willingness model","authors":"Mingyu Hou , Chenzhu Wang , Said M. Easa , Jianchuan Cheng , Jiaxuan Cheng","doi":"10.1016/j.trf.2025.02.002","DOIUrl":"10.1016/j.trf.2025.02.002","url":null,"abstract":"<div><div>The cognitive decision-making process of pedestrians using mobile phones while crossing streets was examined in this study through the application of the Prototype Willingness Model (PWM). The primary objective was to provide a theoretical foundation for formulating targeted interventions to improve traffic safety. A comprehensive questionnaire survey was designed to include extended variables such as nomophobia (the fear of being without a mobile phone) and optimism bias. A total of 464 valid responses were collected and subsequently subjected to validity and reliability analyses through exploratory and confirmatory factor analysis. Following these analyses, a structural equation model was employed to validate the theoretical framework. The findings indicate that the extended PWM effectively explained the cognitive decision-making process of Chinese pedestrians using mobile phones while crossing streets. The study revealed that Behavioral Willingness was the strongest predictor of actual behavior, followed by Behavioral Intention and Optimism Bias. Additionally, factors such as Attitude, Subjective Norms, Prototype Perception, and Nomophobia only indirectly influenced actual behavior. Interestingly, the relationship between Optimism Bias and actual behavior opposed the hypothesized direction. The feasibility, effectiveness, and public acceptance of existing traffic safety interventions were discussed, drawing on both domestic and international data. Based on these findings, specific recommendations for interventions to mitigate distracted pedestrian behavior were proposed, contributing to improved traffic safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 29-56"},"PeriodicalIF":3.5,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387603","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":"Charged up with peace in mind: Unraveling the factors of range anxiety among norwegian electric vehicle drivers","authors":"Junianna Zatsarnaja , Katharina Reiter , Milad Mehdizadeh , Alim Nayum , Trond Nordfjærn","doi":"10.1016/j.trf.2025.02.006","DOIUrl":"10.1016/j.trf.2025.02.006","url":null,"abstract":"<div><div>Range anxiety and its associated factors are crucial for designing effective solutions to enhance the Electric Vehicle (EV) user experience. The present study is based on a survey of 1,005 EV drivers in Norway. It aims to provide insights into the perception of range anxiety in a country with well-developed electric mobility. We contribute to the state-of-the-art by exploring the concept of range anxiety based on eleven potential explanatory variables describing EV adopters’ driving experience, charging-related user experience, psychological characteristics, and socio-demographics. Our analysis showed that the longer the EV driving experience, the greater the perceived ease of charging and charging flexibility, the lower the range anxiety will be. Further, stronger control beliefs over EV’s charging state and willingness to take risks relate to lower range anxiety. Additionally, being younger and being female are associated with lower range anxiety among EV drivers. However, perceived helpfulness of charging guidance, technology openness, and settlement size of EV drivers are not significantly associated with range anxiety. Our study highlights the importance of providing situation- and user-oriented charging information, a smooth and easy-to-understand charging process, and the need to support EV drivers who are less experienced, older, and routine-based.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 15-28"},"PeriodicalIF":3.5,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379010","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":"Investigating the role of visual and corresponding auditory stimuli in driving-related speed perception","authors":"Anna-Lena Köhler , Iring Koch , Stefan Ladwig","doi":"10.1016/j.trf.2025.02.007","DOIUrl":"10.1016/j.trf.2025.02.007","url":null,"abstract":"<div><div>Speeding is a main risk factor in traffic. Because drivers need to integrate a variety of information, investigating different perceptual modalities in speed perception can help develop interventions to mitigate speeding. Humans perceive traveling speed relative to the speed of the environment, which is also called “optic flow”. In spatial tasks, processing visual input often dominates processing of auditory input, but simultaneous presentation of information in both modalities can lead to intersensory bias. In the present study, we investigated such cross-modal interactions between visual and auditory information on a simulated road in two experiments (Experiment 1A and 1B). We applied the method of constant stimuli to assess speed perception. Participants were presented with short video sequences and decided via keypress which sequence they perceived as faster, so that it was possible to calculate the point of subjective equality (PSE). Stimuli were either unimodal visual (regular lights on both sides of the road on the asphalt) or bimodal visual-auditory (the same lights and added wind noise every time a light was passed), both either in static positions or animated in a way to give the impression of moving towards drivers. Both experiments showed that oncoming stimuli led to higher perceived speed (indicated by a lower PSE) than static stimuli. However, this influence on perceived speed was stronger in the bimodal visual and auditory than in the unimodal visual condition, suggesting the added influence of acoustic flow on the existing influence of optic flow. In sum, these findings suggest that earlier studies with unimodal visual stimuli underestimated the influence of oncoming stimuli on perceived speed and thus its potential role on mitigating speeding in traffic.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 1-14"},"PeriodicalIF":3.5,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372437","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}
Hoang Nam Le , Ariane Cuenen , Tu Anh Trinh , Davy Janssens , Geert Wets , Muhammad Wisal Khattak , Kris Brijs
{"title":"Investigating the predictors of adolescent learners’ continuance intention to engage with a gamified e-learning platform about traffic safety in Vietnam","authors":"Hoang Nam Le , Ariane Cuenen , Tu Anh Trinh , Davy Janssens , Geert Wets , Muhammad Wisal Khattak , Kris Brijs","doi":"10.1016/j.trf.2025.01.032","DOIUrl":"10.1016/j.trf.2025.01.032","url":null,"abstract":"<div><div><em>Introduction:</em> Although e-learning systems are seen as a key part of learning and training activities, many learners stop using them after a period of initial engagement. Prior studies provided insights into e-learning participation, but in the context of traffic safety, little research has been done on learners’ intention to continue using (gamified) e-learning. <em>Objectives:</em> This study aims to investigate whether the following predictors of learners’ continuance intention towards a gamified e-learning platform: satisfaction, attitude, interface design, learning content, learning management and gamification. In addition, the study investigates whether satisfaction mediates the effects of these predictors. <em>Method:</em> A sample of 322 Vietnamese adolescents participated in a study where a gamified e-learning platform was implemented in a sample of high school students. <em>Results:</em> Satisfaction, gamification, interface design and learning content were found to be important predictors of continuance intention. Moreover, satisfaction was a significant mediator of the effects generated by gamification, interface design and learning content on continuance intention. <em>Practical implications:</em> The findings of this study offer useful insights on the successful implementation of a gamified e-learning platform about traffic safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1229-1245"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099561","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}
Zijian Lin , Feng Chen , İbrahim Öztürk , Natasha Merat
{"title":"Overtaking automated truck platoons: Effects of platoon organisations and traffic situation on driving behaviours of nearby manual vehicle drivers","authors":"Zijian Lin , Feng Chen , İbrahim Öztürk , Natasha Merat","doi":"10.1016/j.trf.2025.01.026","DOIUrl":"10.1016/j.trf.2025.01.026","url":null,"abstract":"<div><div>Automated truck platooning is a promising technology that is expected to be mainstream within the next decade. For the foreseeable future, automated truck platoons will coexist and interact with human drivers. Resembling a train-like formation, automated truck platoons may present challenges for drivers wishing to overtake them, and it is not currently clear how these new formations affect driver behaviour. Therefore, this paper aims to examine driver behaviours in the overtaking process under various platoon organisations. A high-fidelity driving simulation experiment was conducted to investigate the influence of platoon speed (80 km/h and 100 km/h), size (three trucks and five trucks), inner gap (5 m and 25 m) and the surrounding traffic situation, e.g., the presence of a lead vehicle, on drivers’ overtaking behaviour. Thirty-eight participants were recruited in the experiment. Results revealed that compared to 80 km/h conditions, the 100 km/h conditions prompted more drivers to exhibit extreme behaviours—either failing to overtake or performing a risky overtaking. Regarding platoon size, drivers tended to deviate farther from the lane center to maintain a larger lateral distance from the platoon under five-truck conditions. With respect to the inner gap, a 25 m inner gap significantly reduced the proportion of successful overtaking maneuvers. Moreover, in critical conditions, a 5 m inner gap extended drivers’ response time but did not significantly impact collision probability. The presence of the lead vehicle increased drivers’ mental workload and impaired longitudinal stability. These findings may offer insights for managing automated truck platoons. For instance, the platoon speed and inner gap can be regulated in different traffic conditions, to optimize efficiency, while ensuring safety for all road users.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1208-1228"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099562","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":"On effects of behavioral intention on travel preferences for electric car-sharing services: Empirical insights from the Netherlands","authors":"Xiaofeng Pan , Feixiong Liao","doi":"10.1016/j.trf.2024.12.003","DOIUrl":"10.1016/j.trf.2024.12.003","url":null,"abstract":"<div><div>Behavioral intention and use behavior toward emerging mobility services have received much attention recently in transportation research. Although it is commonly conceptualized that behavioral intention affects use behavior, these two subjects have been studied largely in isolation. To fill this gap, this paper investigates the effects of behavioral intention on travel preferences for electric car-sharing services (ECS). Based on a stated choice experiment with measurements of psychological factors deployed in the Netherlands, a series of hybrid choice models were established, in which various effects of behavioral intention on travel preferences were examined. The estimation of these models reveals the following findings. First, behavioral intention significantly influences people’s preferences for ECS. Holding all else unchanged, a higher behavioral intention results in a higher propensity to choose ECS. Second, people’s socio-demographic characteristics and travel context have significant interaction effects with behavioral intention and further influence their preferences for ECS. Third, among the ECS-specific attributes, access time has a significant interaction effect with behavioral intention, which can decrease the value of access time. Fourth, compared to social influence and personal attitude, peoples’ behavioral intention toward ECS has a larger influence on their choices.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 113-124"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099893","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}
Renjing Tang , Guangquan Lu , Miaomiao Liu , Mingyue Zhu , Pengrui Li
{"title":"A unified driving behavior model based on psychological safety space","authors":"Renjing Tang , Guangquan Lu , Miaomiao Liu , Mingyue Zhu , Pengrui Li","doi":"10.1016/j.trf.2024.12.024","DOIUrl":"10.1016/j.trf.2024.12.024","url":null,"abstract":"<div><div>Almost all traffic phenomena are influenced by driving behavior, making the understanding and description of driving behavior a key aspect of traffic research. Traditional driving behavior models, such as car-following and lane-changing models, are often confined to specific scenarios, thus limiting their applicability across diverse driving conditions. This study aims to analyze the underlying mechanisms of human drivers’ decision-making in diverse driving contexts and develop a unified driving behavior model suitable for a wide range of situations. By integrating situational awareness theory with personal space theory, the concept of Psychological Safety Space (PSS) is defined and its boundaries are quantified using risk field theory. A unified driving behavior model is then developed based on psychological safety space, incorporating a spatial trajectory planning algorithm and a speed regulation algorithm. The proposed model is evaluated against classical models, including the intelligent driver model, desired risk model, and desired safety margin model, as well as empirical data. The results demonstrate that the driving behavior model based on psychological safety space achieves high accuracy and effectiveness in scenarios such as car-following, lane-changing, and intersection navigation. This study offers new perspectives and methods for understanding and simulating driver behavior and contributes to the advancement of driving behavior model development.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 439-457"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099898","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":"Corrigendum to “Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis” [Transport. Res. F: Psychol. Behav., 108 (2025) 107–135/3052]","authors":"Deepti Muley , Tayyab Ahmad , Mohamed Kharbeche","doi":"10.1016/j.trf.2024.12.016","DOIUrl":"10.1016/j.trf.2024.12.016","url":null,"abstract":"","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Page 231"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099907","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}