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We all fall for it: Influence of driving experience, level of cognitive control engaged and actual exposure to the driving situations on the Dunning-Kruger effect
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-30 DOI: 10.1016/j.trf.2024.11.021
Jordan Navarro , Marine Multon , Marjorie Petit , Marie Claude Ouimet , Emanuelle Reynaud
The Dunning-Kruger Effect (DKE), a widely recognized phenomenon, reveals that individuals with lower skills tend to overrate their abilities, while high achievers often underestimate themselves. This intriguing trend has been explored in the realm of car driving using an innovative, purpose-built methodology. This methodology integrates visual presentations of specific driving scenarios for self-assessment alongside the analysis of actual driving behaviours gathered through driving simulation. Our study recruited both inexperienced, non-drivers and seasoned, licensed drivers to delve into three key aspects: (i) explore how the acquisition of skills through extensive real-world experience influences the DKE pattern, (ii) refine the process of recalibrating self-assessed skills subsequent to a brief encounter with the tasks and (iii) determine how the DKE is affected by varying degrees of cognitive control required to execute diverse driving tasks. The data consistently confirms the DKE across driving situations, highlighting its universality. Novice and seasoned drivers both display the pattern before and after the simulated drive, regardless of the associated level of cognitive control, indicating that experienced drivers are prone to the same misestimation tendencies as novices. Novices’ self-assessments notably increased after experiencing the simulated drive, while experienced drivers’ estimations remained stable. This observation could be interpreted as the dual curse of ignorance at work. This research offers valuable insights into the dynamics of self-assessment over time, shedding light on how driving experience and task exposure impact individuals’ perceptions of their own abilities.
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引用次数: 0
A mixed methods approach to investigate factors influencing young drivers’ intention to drink and drive: A case study from an alcohol-prohibited country
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-29 DOI: 10.1016/j.trf.2024.11.019
Sina Rejali , Kayvan Aghabayk
Drunk driving is a worldwide road safety concern that has led to road crashes. In Iran, while the production, distribution, and consumption of alcohol are prohibited, drinking has increased significantly over the last decade, resulting in a corresponding rise in drunk driving and related crashes. Therefore, this study adopted a mixed methods approach aimed at evaluating the factors influencing young drivers’ intentions to drink and drive, along with the facilitators and barriers to this behavior. Quantitative data was collected from 537 drivers aged between 18 and 25 with valid driving license in Tehran, Iran. An extended theory of planned behavior (TPB) model was proposed, and structural equation modeling was used to evaluate the proposed model. Qualitative data was collected via semi-structured interviews with 33 young drivers who had engaged in drunk driving at least once in the past six months, and reflective thematic analysis was used to analyze the data. The findings of the survey highlighted the prevalence of drunk driving among young drivers, as 24.4% of participants reported driving under the influence of alcohol at least once in the past six months. The results showed that perceived risk, perceived behavioral control, attitudes, descriptive norms, and perceived ability to manipulate enforcement were significant predictors of intentions to drink and drive. The results of the interviews revealed that participants considered the social and cultural context of the country as the basis for the facilitators and barriers of drunk driving, subsequently forming their future behavior. Social restrictions for drinking and lack of education and specific legislation were mentioned as the facilitators, while legal and non-legal sanctions were considered as important barriers. The findings of this study provided an understanding of the underlying constructs of drunk driving to provide effective policy and practical implications that can be developed to address the issue.
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引用次数: 0
Empirical analysis of car-following behavior: Impacts of driver demographics, leading vehicle types, and speed limits on driver behavior and safety
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-29 DOI: 10.1016/j.trf.2024.11.022
Zahid Hussain, Shabna Sayed Mohammed, Charitha Dias, Qinaat Hussain, Wael K.M. Alhajyaseen
Car-following behavior is the most fundamental and common driving behavior and is crucial for road safety and traffic efficiency. Traffic flow dynamics are greatly affected by this behavior, and driver-related factors in car-following behavior have been identified as a key cause of rear-end crashes. Despite extensive research on car-following behavior, a gap remains in understanding how this behavior manifests itself in culturally diverse driver populations and heterogeneous driving conditions. The aim of this study was to empirically investigate the effects of individual characteristics, leading vehicle types, posted speed limits and deceleration rates of the leading vehicle on car-following behavior. To this end, the car-following behavior of 61 participants was investigated in eight different scenarios involving a motorbike, sedan, SUV, and truck as the leading vehicle under two different speed limits, i.e., 50 km/h and 80 km/h in a driving simulator environment. The results showed that considerable variations in car-following behaviors exist depending on gender, age, driving experience, educational levels, and the type of leading vehicle, as well as speed limits and deceleration rates. The risk of rear-end crash was found to be higher at the lower speed limit and with a two-wheeler (motorbike) as the leading vehicle. Additionally, females were identified as a having higher crash risk than males. In summary, this study provides valuable insights that could be applied to enhance road safety, such as tailoring targeted training materials for high-risk groups and informing policy decisions. Incorporating these insights into model calibration can lead to more accurate and realistic simulations that capture the complexities of real-world driving scenarios.
{"title":"Empirical analysis of car-following behavior: Impacts of driver demographics, leading vehicle types, and speed limits on driver behavior and safety","authors":"Zahid Hussain,&nbsp;Shabna Sayed Mohammed,&nbsp;Charitha Dias,&nbsp;Qinaat Hussain,&nbsp;Wael K.M. Alhajyaseen","doi":"10.1016/j.trf.2024.11.022","DOIUrl":"10.1016/j.trf.2024.11.022","url":null,"abstract":"<div><div>Car-following behavior is the most fundamental and common driving behavior and is crucial for road safety and traffic efficiency. Traffic flow dynamics are greatly affected by this behavior, and driver-related factors in car-following behavior have been identified as a key cause of rear-end crashes. Despite extensive research on car-following behavior, a gap remains in understanding how this behavior manifests itself in culturally diverse driver populations and heterogeneous driving conditions. The aim of this study was to empirically investigate the effects of individual characteristics, leading vehicle types, posted speed limits and deceleration rates of the leading vehicle on car-following behavior. To this end, the car-following behavior of 61 participants was investigated in eight different scenarios involving a motorbike, sedan, SUV, and truck as the leading vehicle under two different speed limits, i.e., 50 km/h and 80 km/h in a driving simulator environment. The results showed that considerable variations in car-following behaviors exist depending on gender, age, driving experience, educational levels, and the type of leading vehicle, as well as speed limits and deceleration rates. The risk of rear-end crash was found to be higher at the lower speed limit and with a two-wheeler (motorbike) as the leading vehicle. Additionally, females were identified as a having higher crash risk than males. In summary, this study provides valuable insights that could be applied to enhance road safety, such as tailoring targeted training materials for high-risk groups and informing policy decisions. Incorporating these insights into model calibration can lead to more accurate and realistic simulations that capture the complexities of real-world driving scenarios.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"108 ","pages":"Pages 188-205"},"PeriodicalIF":3.5,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746396","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}
引用次数: 0
Demographic risk factors and injury severity scores in Substance-use behaviour related traffic crashes
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-29 DOI: 10.1016/j.trf.2024.11.018
Mahmuda Sultana Mimi , Rohit Chakraborty , Swastika Barua , Subasish Das , Md Nasim Khan , Bahar Dadashova
Alcohol and drugs, including Tetrahydrocannabinol (THC), significantly impact roadway safety by impairing cognitive functions, coordination, and reaction times, leading to increased crash risk and severity. This study examines the prevalence of alcohol and drugs among 4,586 injured roadway users (drivers, riders, and passengers) in the U.S. from 2019 to 2021, utilizing an XGBoost model to identify key variables associated with Injury Severity Score (ISS) in substance-related traffic crashes, and highlighting influential factors such as injury location, demographic characteristics (age, race), safety compliance, and alcohol and drug presence. These risk factors were further analyzed through Cluster Correspondence Analysis (CCA) to reveal patterns and trends affecting injury severity across different demographic and behavioral groups. The findings reveal that 55.8% of the injured tested positive for substances, with cannabinoids being the most common, followed by alcohol, stimulants, and opioids. This study identified six core crash clusters, each with distinct characteristics, including older drivers, impaired young drivers, specific driver ethnicities, and motorcyclists. Key findings from clusters indicate that older drivers, despite high safety compliance and negative substance tests, faced crash risks potentially due to age-related limitations. Impaired young adult crashes are characterized by risky behavior, including alcohol and THC use combined with low safety compliance, while motorcyclists with high substance involvement and inconsistent helmet use, are identified as a high-risk group, frequently experiencing severe leg injuries. These insights underscore the need for comprehensive traffic safety policies targeting substance use and promoting effective safety measures to mitigate crash risks and improve road safety.
{"title":"Demographic risk factors and injury severity scores in Substance-use behaviour related traffic crashes","authors":"Mahmuda Sultana Mimi ,&nbsp;Rohit Chakraborty ,&nbsp;Swastika Barua ,&nbsp;Subasish Das ,&nbsp;Md Nasim Khan ,&nbsp;Bahar Dadashova","doi":"10.1016/j.trf.2024.11.018","DOIUrl":"10.1016/j.trf.2024.11.018","url":null,"abstract":"<div><div>Alcohol and drugs, including Tetrahydrocannabinol (THC), significantly impact roadway safety by impairing cognitive functions, coordination, and reaction times, leading to increased crash risk and severity. This study examines the prevalence of alcohol and drugs among 4,586 injured roadway users (drivers, riders, and passengers) in the U.S. from 2019 to 2021, utilizing an XGBoost model to identify key variables associated with Injury Severity Score (ISS) in substance-related traffic crashes, and highlighting influential factors such as injury location, demographic characteristics (age, race), safety compliance, and alcohol and drug presence. These risk factors were further analyzed through Cluster Correspondence Analysis (CCA) to reveal patterns and trends affecting injury severity across different demographic and behavioral groups. The findings reveal that 55.8% of the injured tested positive for substances, with cannabinoids being the most common, followed by alcohol, stimulants, and opioids. This study identified six core crash clusters, each with distinct characteristics, including older drivers, impaired young drivers, specific driver ethnicities, and motorcyclists. Key findings from clusters indicate that older drivers, despite high safety compliance and negative substance tests, faced crash risks potentially due to age-related limitations. Impaired young adult crashes are<!--> <!-->characterized by risky behavior, including alcohol and THC use combined with low safety compliance, while motorcyclists with high substance involvement and inconsistent helmet use, are identified as a high-risk group, frequently experiencing severe leg injuries. These insights underscore the need for comprehensive traffic safety policies targeting substance use and promoting effective safety measures to mitigate crash risks and improve road safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"108 ","pages":"Pages 168-187"},"PeriodicalIF":3.5,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746395","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
Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-29 DOI: 10.1016/j.trf.2024.11.023
Deepti Muley , Tayyab Ahmad , Mohamed Kharbeche
Pedestrian violations are among the biggest concerns for administration as they contribute to increased frequency and severity of pedestrian-related crashes. Typically for ensuring pedestrian safety, law enforcement measures such as pedestrian penalties are used. To assess the efficacy of such enforcements, pedestrian sentiments towards these law enforcements need to be determined. There is a general lack of studies assessing the effect of pedestrian law enforcement on pedestrians’ behavior. Using Qatar based data, this study assessed the effectiveness of a recent law amendment in State of Qatar to improve pedestrians’ behavioral intentions. Based on 645 survey responses, a Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was used to verify quantitative relationships among law amendment, risk perception, safety effectiveness perception, and pedestrians’ behavioral intentions. The results indicate that the pedestrians’ behavioral intentions are strongly influenced by law emphasis, risk perception, and safety effectiveness perception. Moderating role of respondent attributes such as their demographics, personal experiences of respondents with traffic issues, and experience regarding law enforcement are also determined. The structural path between risk perception and behavioral intentions was significantly moderated by gender and jaywalk frequency. Further, nationality and education showed moderating effects on structural path between behavioral intentions and law effectiveness and safety effectiveness perception. Findings from this study contribute to the theoretical understanding of pedestrians’ behavior and can be used for planning and implementation of targeted law enforcement to improve pedestrian safety.
{"title":"Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis","authors":"Deepti Muley ,&nbsp;Tayyab Ahmad ,&nbsp;Mohamed Kharbeche","doi":"10.1016/j.trf.2024.11.023","DOIUrl":"10.1016/j.trf.2024.11.023","url":null,"abstract":"<div><div>Pedestrian violations are among the biggest concerns for administration as they contribute to increased frequency and severity of pedestrian-related crashes. Typically for ensuring pedestrian safety, law enforcement measures such as pedestrian penalties are used. To assess the efficacy of such enforcements, pedestrian sentiments towards these law enforcements need to be determined. There is a general lack of studies assessing the effect of pedestrian law enforcement on pedestrians’ behavior. Using Qatar based data, this study assessed the effectiveness of a recent law amendment in State of Qatar to improve pedestrians’ behavioral intentions. Based on 645 survey responses, a Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was used to verify quantitative relationships among law amendment, risk perception, safety effectiveness perception, and pedestrians’ behavioral intentions. The results indicate that the pedestrians’ behavioral intentions are strongly influenced by law emphasis, risk perception, and safety effectiveness perception. Moderating role of respondent attributes such as their demographics, personal experiences of respondents with traffic issues, and experience regarding law enforcement are also determined. The structural path between risk perception and behavioral intentions was significantly moderated by gender and jaywalk frequency. Further, nationality and education showed moderating effects on structural path between behavioral intentions and law effectiveness and safety effectiveness perception. Findings from this study contribute to the theoretical understanding of pedestrians’ behavior and can be used for planning and implementation of targeted law enforcement to improve pedestrian safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"108 ","pages":"Pages 107-135"},"PeriodicalIF":3.5,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746466","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}
引用次数: 0
Risky riding behaviour among young, motorized two-wheeler riders in India: A quantitative analysis of the psychosocial determinants 印度年轻电动两轮车骑行者的危险骑行行为:对社会心理决定因素的定量分析
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-28 DOI: 10.1016/j.trf.2024.11.008
Kumar Sumit , Robert A.C. Ruiter , Veerle Ross , Geert Wets , Kris Brijs
Road crash injuries have emerged as a significant public health issue in many low-and middle-income countries in recent years. Annually, more than 1.35 million people lose their lives due to road crashes, making it one of the leading causes of death worldwide. In India, road crash injuries have increasingly become a major concern for motorized two-wheeler riders. It is important to understand risky riding behaviours to develop accurate and evidence-based risk reduction programmes that fit the target population well. The current study aimed to identify the psychosocial determinants of refraining from risky riding behaviour in young, motorized two-wheeler riders. A quantitative survey based on the theory of planned behaviour (TPB) complemented with questions measuring routine behaviours was conducted among 238 young riders aged 18–25 riding motorized two-wheelers in Manipal, a locality of Udupi district in Karnataka province of Southwestern India. The study tool assessed four risky riding behaviours: (1) speeding, (2) helmet non-use, (3) performing stunts, and (4) using mobile phones while riding. The results of the study indicated that the intention to refrain from risky riding behaviours can be explained by important psychosocial determinants of human behaviour, including attitude, social norms, and perceived behavioural control and their underlying belief systems with regard to perceived benefits and costs, perceptions of other’s behaviours and approval, and expressions of personal control that inform these psychosocial determinants. In addition, the extent to which participants automatically behaved in risky riding practices in the past did not prove to be a strong predictor of future intentions to refrain from risky riding. It is concluded that the study resulted in an in-depth understanding of the psychosocial determinants of risky riding behaviour. Policymakers and programme developers are encouraged to use the findings in defining programme goals for future educational interventions to promote safe two-wheeler riding.
近年来,在许多中低收入国家,车祸伤害已成为一个重要的公共卫生问题。每年有超过 135 万人因交通事故丧生,成为全球主要死亡原因之一。在印度,道路交通事故造成的伤害日益成为机动两轮车骑行者关注的主要问题。了解危险的骑车行为对于制定准确的、以证据为基础的、适合目标人群的降低风险计划非常重要。本研究旨在确定年轻电动两轮车骑行者避免危险骑行行为的社会心理决定因素。在印度西南部卡纳塔克邦乌杜皮地区的马尼帕尔,对 238 名 18-25 岁骑电动两轮车的年轻人进行了基于计划行为理论(TPB)的定量调查,并辅以常规行为测量问题。研究工具评估了四种危险骑行行为:(1) 超速,(2) 不使用头盔,(3) 表演特技,(4) 骑行时使用手机。研究结果表明,避免危险骑行行为的意向可以用人类行为的重要社会心理决定因素来解释,这些因素包括态度、社会规范、感知行为控制及其与感知收益和成本有关的基本信念系统、对他人行为的感知和认可,以及个人控制的表达,这些社会心理决定因素为这些意向提供了依据。此外,事实证明,参与者过去在多大程度上自动采取了危险骑行行为,并不能有力地预测他们未来是否打算避免危险骑行。结论是,这项研究深入了解了危险骑行行为的社会心理决定因素。鼓励政策制定者和计划制定者利用研究结果来确定未来教育干预的计划目标,以促进安全骑行两轮摩托车。
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引用次数: 0
When is more actually better? expert opinions on assessment of situation awareness in relation to safe driving 专家对与安全驾驶有关的情境意识评估的意见
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-26 DOI: 10.1016/j.trf.2024.11.011
Rins de Zwart , Reinier J. Jansen , Cheryl Bolstad , Mica R. Endsley , Petya Ventsislavova , Joost de Winter , Mark S. Young
The use of situation awareness (SA) measures to assess relative safety in driving is common, with higher levels of SA being interpreted as safer. These relative interpretations do not allow researchers to determine whether the level of SA could be considered “safe” or “unsafe”. In contrast to such interpretations based on relative performance, the current position paper explores the potential for a normative interpretation of situation awareness with regard to safety assessment in driving. A series of expert interviews yielded viewpoints on the current relation between SA and safe driving, theoretical underpinnings for a normative approach, and potential actions towards an SA criterion for safe or unsafe driving. Methodological challenges regarding a normative approach are discussed together with considerations towards a weighted criterion-based approach to SA. The selection of SA requirements relevant for safety and the differentiation and weighting of these requirements on high and lower importance is presented. A method towards objective determination of relevance and weight of SA requirements may increase the usefulness of SA measures for assessment of safety in a driving context.
使用态势感知(SA)测量方法来评估驾驶的相对安全性很常见,态势感知水平越高越安全。这些相对解释并不能让研究人员确定 SA 水平是 "安全 "还是 "不安全"。与这种基于相对表现的解释不同,本立场文件探讨了在驾驶安全评估方面对情境意识进行规范性解释的可能性。通过一系列专家访谈,我们了解了当前安全驾驶意识与安全驾驶之间的关系、规范方法的理论基础以及安全驾驶或不安全驾驶意识标准的潜在行动。此外,还讨论了规范性方法所面临的方法论挑战,以及基于加权标准的 SA 方法的考虑因素。介绍了与安全相关的 SA 要求的选择,以及这些要求在高重要性和低重要性方面的区别和权重。客观确定安全标准要求的相关性和权重的方法可提高安全标准措施在驾驶安全评估中的实用性。
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引用次数: 0
Investigating the psychometrics of a new tool for evaluating motivational factors and their relationship with stunts among adolescent male cyclists in Isfahan, Iran 调查伊朗伊斯法罕青少年男性自行车运动员动机因素及其与特技关系的新评估工具的心理计量学情况
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-26 DOI: 10.1016/j.trf.2024.11.014
Fereshteh Zamani-Alavijeh , Zahra Heidari , Firoozeh Mostafavi-Darani , Mehdi Mirzaei-Alavijeh , Fatemeh Saber

Introduction

Stunts refer to risky behaviours performed by many young cyclists, especially boys, leading to traffic injuries. Little attention has been paid to the motivational factors behind such behaviours. This study aimed to develop and psychometrically evaluate tools for measuring motivational factors associated with stunts. The relationship between these factors and stunts among adolescent male cyclists was also examined.

Methods

This methodological research began with developing an initial questionnaire on motivational variables in December 2020 and concluded in February 2021 in Isfahan, Iran. Construct validity was evaluated using exploratory (EFA) and confirmatory factor analysis (CFA). Internal consistency and reliability were assessed through Cronbach’s alpha and composite reliability (CR) indices, while external reliability was determined using test–retest with the intraclass correlation coefficient (ICC). The Zuckerman Brief Sensation Seeking Scale (BSSS) was used to assess convergent validity. The relationship between motivational factors and stunts was investigated using structural equation modeling (SEM).

Results

The mean age of the cyclists was 16.4 (±1.1) years. The initial version of the questionnaire consisted of 33 items, with 28 items retained for factor analysis after omitting five during the content validity process. Construct validity evaluated with EFA identified three factors: perceived social environment (PSE), perceived special and unique abilities, and sensation seeking (SS). CFA confirmed the adequacy of these factors. Cronbach’s alpha, CR indices, and ICC values for the factors were good to excellent. A positive correlation between SS and BSSS indicated acceptable convergent validity. In the statistical model, SS and perceived special and unique abilities were directly related to stunts.

Conclusion

Based on the favorable psychometric results, this tool can measure a new category of motivational factors related to cyclists’ stunts in future research. According to the model obtained from the data analysis, the variance of stunts in adolescent cyclists could be predicted to an acceptable level, with only three variables comprising 28 items. These results can be used to develop evidence-based strategies to promote cyclist safety.
导言特技是指许多骑自行车的年轻人(尤其是男孩)做出的导致交通伤害的危险行为。人们很少关注这些行为背后的动机因素。本研究旨在开发与特技相关的动机因素测量工具,并对其进行心理评估。研究方法这项研究于 2020 年 12 月在伊朗伊斯法罕开始,并于 2021 年 2 月结束,首先制定了关于动机变量的初步调查问卷。采用探索性因子分析(EFA)和确认性因子分析(CFA)评估了结构效度。内部一致性和可靠性通过克朗巴赫α指数和综合可靠性(CR)指数进行评估,外部可靠性则通过类内相关系数(ICC)进行重复测试来确定。祖克曼简明感觉寻求量表(BSSS)用于评估收敛效度。采用结构方程模型(SEM)研究了动机因素与特技之间的关系。问卷的初始版本包括 33 个项目,在内容效度分析过程中省略了 5 个项目,保留了 28 个项目进行因素分析。通过 EFA 进行的结构效度评估确定了三个因子:感知的社会环境(PSE)、感知的特殊和独特能力以及寻求感觉(SS)。CFA 证实了这些因子的充分性。各因子的 Cronbach's alpha、CR 指数和 ICC 值均为良好至优秀。SS和BSSS之间的正相关表明其具有可接受的收敛效度。在统计模型中,SS 和感知到的特殊和独特能力与特技直接相关。根据数据分析得出的模型,青少年自行车运动员的特技变异可以被预测到一个可接受的水平,只需三个变量和 28 个项目。这些结果可用于制定以证据为基础的策略,以促进骑车人的安全。
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引用次数: 0
Examining longitudinal experiences with connected vehicle technology in Australia’s largest C-ITS pilot 在澳大利亚最大的 C-ITS 试点项目中考察车联网技术的纵向经验
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-26 DOI: 10.1016/j.trf.2024.11.013
Michael T Pascale, David Rodwell, Andy Bond, Ronald Schroeter, Andry Rakotonirainy, Ioni Lewis
Connected Intelligent Transport Systems (C-ITS) may provide safety and mobility benefits for drivers and other road users by providing timely, safety focused messaging to drivers. However, the knowledge-base regarding drivers’ experiences with C-ITS technology is limited given that interactions with these advanced systems are still relatively uncommon and often constrained by time and place. The current study explored participants’ acceptance of, and experiences with a Human Machine Interface (HMI) that displayed C-ITS warnings, during nine months of participation. The specific warnings included speed and hazardous driving at signalised intersections, road-works zones, and on highways. Importantly, the HMI was installed in each participant’s personal vehicle thereby integrating the C-ITS experience into each participant’s daily routine for an extended period. Subjective data were obtained via four questionnaires focused on drivers’ acceptance and general experiences with the HMI, as part of a large-scale (n = 325) longitudinal Field Operational Test of C-ITS conducted in Ipswich, Queensland, Australia. Analyses exposed several significant factors that predicted acceptance including HMI activation, age, and technology readiness. Subsequent contrasts revealed that significant, but small decreases in mean acceptance following the activation of warnings (use cases) on the HMI likely due to perceived limitations with respect to timing and accuracy. Still, participants’ ratings of the warnings being displayed on the HMI were positive and remained as such throughout the FOT.
互联智能交通系统(C-ITS)可为驾驶员和其他道路使用者提供及时的、以安全为重点的信息,从而为驾驶员和其他道路使用者带来安全和机动性方面的益处。然而,由于与这些先进系统的互动仍相对少见,而且往往受到时间和地点的限制,因此有关驾驶员使用 C-ITS 技术的经验的知识库十分有限。本研究探讨了参与者在九个月的参与过程中对显示 C-ITS 警告的人机界面 (HMI) 的接受程度和使用体验。具体警告内容包括信号灯路口、道路施工区和高速公路上的超速和危险驾驶。重要的是,人机界面被安装在每位参与者的个人车辆上,从而将 C-ITS 体验长期融入每位参与者的日常生活中。作为在澳大利亚昆士兰州伊普斯维奇市进行的 C-ITS 大规模(n = 325)纵向现场操作测试的一部分,我们通过四份调查问卷获得了主观数据,这些问卷主要关注驾驶员对人机界面的接受程度和一般体验。分析表明,有几个重要因素可以预测接受程度,包括人机界面激活度、年龄和技术准备程度。随后的对比显示,在人机界面上激活警告(用例)后,平均接受度出现了明显但较小的下降,这可能是由于在时间和准确性方面存在感知限制。不过,参与者对人机界面上显示的警告的评价仍然是积极的,并且在整个 FOT 过程中都是如此。
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引用次数: 0
Unraveling the complex interplay between curved tunnels and drivers’ physiological responses: An HRV perspective 揭示弯曲隧道与驾驶员生理反应之间复杂的相互作用:心率变异的视角
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2024-11-23 DOI: 10.1016/j.trf.2024.11.020
Lei Han , Zhigang Du
This study aims to unravel the complex interplay between curved tunnels and drivers’ physiological responses from an HRV (Heart Rate Variability) perspective. A group of 30 individuals with valid driver’s licenses was selected, and their HRV was monitored while driving through four curved tunnels in Yunnan Province, China. HRV indicators such as RMSSD (Root Mean Square of Successive Differences), SDNN (Standard Deviation of Normal-to-Normal Intervals), LF (Low Frequency), and LF/HF (ratio of Low Frequency to High Frequency) were analyzed. The independent variables included tunnel radius, turn direction, and zone characteristics. The results demonstrated that the radius, turning, and zone of the curved tunnel significantly influenced drivers’ HRV. Specifically, as the tunnel radius decreased, the mean RMSSD and SDNN of drivers decreased, while the mean LF and LF/HF increased. In left turns, drivers had lower RMSSD and SDNN values but higher LF and LF/HF ratios compared to right turns. Additionally, drivers showed the highest mean RMSSD and SDNN in the entrance zone of the tunnel, followed by the middle zone, and the lowest in the exit zone. Conversely, the exit zone had the highest mean LF and LF/HF, followed by the middle zone, and the entrance zone had the lowest. These results indicate that the characteristics of the curved tunnel have a substantial impact on drivers’ physiological responses. A smaller tunnel radius leads to increased stress and cognitive load, as reflected by the decreased HRV metrics and increased sympathetic activity. Turning maneuvers, particularly left turns, result in asymmetry in autonomic responses, with lower RMSSD and SDNN and higher LF and LF/HF during left turns. The variations in HRV across different zones within the tunnel suggest that environmental cues play a role in sympathetic activation, with the exit zone showing the highest sympathetic activity. These findings offer significant insights into the relationship between tunnel conditions and drivers’ physiological responses, emphasizing the importance of considering these factors in road safety and human factors engineering. By comprehending how tunnel characteristics affect drivers’ autonomic nervous system responses, we can formulate strategies to enhance driver well-being and safety.
本研究旨在从心率变异(HRV)的角度揭示弯曲隧道与驾驶者生理反应之间复杂的相互作用。研究选取了 30 名持有有效驾照的驾驶员,对他们在中国云南省驾车通过四条弯道隧道时的心率变异进行了监测。分析的心率变异指标包括RMSSD(连续差值的均方根)、SDNN(正常与正常间期的标准偏差)、LF(低频)和LF/HF(低频与高频之比)。自变量包括隧道半径、转弯方向和区域特征。结果表明,弯道隧道的半径、转弯方向和区域对驾驶员的心率变异有显著影响。具体而言,随着隧道半径的减小,驾驶员的平均 RMSSD 和 SDNN 下降,而平均 LF 和 LF/HF 上升。与右转相比,左转时驾驶员的RMSSD和SDNN值较低,但LF和LF/HF比率较高。此外,驾驶员在隧道入口区的平均 RMSSD 和 SDNN 值最高,其次是中间区,出口区最低。相反,出口区的平均 LF 和 LF/HF 最高,中间区次之,入口区最低。这些结果表明,弯曲隧道的特点对驾驶员的生理反应有很大影响。较小的隧道半径会导致压力和认知负荷的增加,这从心率变异指标的下降和交感神经活动的增加可以反映出来。转弯动作,尤其是左转弯,导致自律神经反应不对称,左转弯时 RMSSD 和 SDNN 较低,LF 和 LF/HF 较高。隧道内不同区域心率变异的变化表明,环境线索在交感神经激活中发挥了作用,出口区域的交感神经活性最高。这些发现为了解隧道条件与驾驶员生理反应之间的关系提供了重要启示,强调了在道路安全和人因工程中考虑这些因素的重要性。通过了解隧道特征如何影响驾驶员的自律神经系统反应,我们可以制定出提高驾驶员健康和安全的策略。
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引用次数: 0
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Transportation Research Part F-Traffic Psychology and Behaviour
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