Transportation Research Part F-Traffic Psychology and Behaviour最新文献_第8页

Why do young drivers respond to their smartphones while driving? Examining the predictive power of the theory of planned behaviour and Big 5 personality factors 为什么年轻司机在开车时对智能手机有反应？检验计划行为理论和五大人格因素的预测能力

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-19 DOI: 10.1016/j.trf.2025.103452

Emily Noble, Cassandra Gauld, Heather E Douglas

引用次数: 0

How knowledge of cycling practice and changes to the British Highway Code relate to perceptions of cyclist discourtesy 自行车实践的知识和英国公路法规的变化与骑车人不礼貌的看法有什么关系

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-17 DOI: 10.1016/j.trf.2025.103450

William Cubbin , Kjell van Paridon , Matthew Timmis , Helen Keyes

In 2022 the UK Highway Code had a major update including advice for cyclists around lane positioning that reflects existing safety training practice and guidance for drivers to leave at least 1.5 m of lateral clearance when overtaking cyclists. This study uses a repeated measures design to examine the impact of changes to the Highway Code on knowledge of cycling road positioning practice, and the effect of this knowledge on perceptions of cyclist discourtesy.

Knowledge of cyclist positioning practice improved significantly between the two surveys. A hierarchical multiple regression found that cyclist positioning knowledge score added significantly to the model predicting perceptions of cyclist discourtesy, with the change in R² between the two models being significant. A separate hierarchical multiple regression, with cyclist positioning knowledge as the DV and Highway Code knowledge as the additional stage two IV, was not significant.

The findings showed that while the highway code changes did not predict improvements in knowledge, drivers with better knowledge did have more positive opinions of cyclist behaviour, when controlling for their own participation in cycling.

This was a novel study in applying a repeated measures design before and after the changes to the UK Highway Code. The findings will help inform development of interventions designed to improve road safety for cyclists.

2022年，英国公路法规进行了重大更新，包括对骑自行车的人的车道定位建议，以反映现有的安全培训实践，并指导司机在超车时至少留出1.5米的横向间隙。本研究采用重复测量设计来检验公路法规变化对自行车道路定位实践知识的影响，以及这种知识对骑自行车者不礼貌认知的影响。在两次调查中，骑车人的定位实践知识显著提高。多层次多元回归发现，骑行者定位知识得分显著增加了骑行者不礼貌感知的模型，两个模型之间的R2变化显著。一个单独的分层多元回归，骑自行车的人定位知识作为DV和公路法规知识作为额外的第二阶段IV，不显著。研究结果表明，虽然公路法规的变化并不能预测知识的提高，但在控制自己参与骑车的情况下，知识更丰富的司机确实对骑自行车的人的行为有更积极的看法。这是一项新颖的研究，在英国公路法规变化之前和之后应用重复测量设计。研究结果将有助于制定旨在改善骑自行车者道路安全的干预措施。

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引用次数: 0

Editorial to the Special Issue on Road User Interactions in the Age of Vehicle Automation 《车辆自动化时代的道路使用者互动》特刊社论

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-17 DOI: 10.1016/j.trf.2025.103439

Yee Mun Lee , Joshua Domeyer

引用次数: 0

A mixed-methods examination of the effect of responsibility and social intelligence on driving behavior of young drivers 责任和社会智力对年轻司机驾驶行为影响的混合方法研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-17 DOI: 10.1016/j.trf.2025.103449

Seyedehsareh Hashemikamangar , Stephanie Ivey , Leah Windsor

Dangerous driving behaviors have been shown to be the main reason for vehicle crashes, especially among young drivers. Although research has focused on psychological determinants of dangerous driving behavior in recent years, social and interpersonal factors have had limited attention in the literature. Combining quantitative (i.e., multiple hierarchical regression) and qualitative (i.e., thematic analysis) methods, this study investigates the effects of responsibility and social intelligence on dangerous driving behavior among young drivers. A total of 404 US drivers aged 18–35 participated in this study and completed an online survey that included demographic questions, the Dula Dangerous Driving Index (DDDI), Tromsø Social Intelligence Scale (TSIS), Responsibility Questionnaire (RQ), and open-ended questions. The quantitative results indicated that higher social awareness, social skill, personal responsibility, and social responsibility are correlated with less frequent dangerous driving behavior. Also, young drivers with higher social awareness engaged in less frequent dangerous driving and negative cognitive/emotional driving. Furthermore, higher social skill resulted in less frequent negative cognitive/emotional driving. Higher personal responsibility led into less frequent negative cognitive/emotional driving, while higher social responsibility showed an opposite impact. The qualitative results showed that responsibility and understanding and perceiving others’ choices and perspectives have a noticeable role in preventing dangerous driving behavior. Incorporating responsibility and social intelligence into the development of driving education programs and driver assessment methods may reduce dangerous driving behaviors. Also, the findings can be useful for the revision of driving behavior categories and/or development of a new driving behavior measurement that includes responsibility and social intelligence.

危险的驾驶行为已被证明是交通事故的主要原因，尤其是在年轻司机中。尽管近年来的研究主要集中在危险驾驶行为的心理决定因素上，但文献中对社会和人际因素的关注有限。本研究结合定量（即多元层次回归）和定性（即专题分析）方法，探讨了责任和社会智力对青年驾驶员危险驾驶行为的影响。共有404名年龄在18-35岁之间的美国司机参与了这项研究，并完成了一项在线调查，包括人口统计问题、杜拉危险驾驶指数（DDDI）、特罗姆索社会智力量表（TSIS）、责任问卷（RQ）和开放式问题。定量结果表明，较高的社会意识、社会技能、个人责任感和社会责任感与较低的危险驾驶行为发生率相关。此外，社会意识较高的年轻司机危险驾驶和负性认知/情绪驾驶的频率较低。此外，较高的社交技能导致较少的负面认知/情绪驱动。更高的个人责任导致更少的负面认知/情绪驱动，而更高的社会责任则表现出相反的影响。定性结果表明，责任、理解和感知他人的选择和观点对预防危险驾驶行为有显著的作用。将责任感和社会智能纳入驾驶教育课程和驾驶员评估方法的制定中，可以减少危险驾驶行为。此外，研究结果可以用于修订驾驶行为类别和/或开发一种新的驾驶行为测量方法，包括责任和社会智力。

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引用次数: 0

Group heterogeneity in occupational injury attribution amongst ride-hailing drivers 网约车司机职业伤害归因的群体异质性

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-17 DOI: 10.1016/j.trf.2025.103428

Tianming Zhang , Jiuchang Wei , Yi-Na Li

In the context of the information technology revolution and the vigorous development of the digital economy, the so-called new business form has emerged, with the ride-hailing industry becoming a paradigmatic example of this transformation in China. Previous research has concentrated on attributing responsibility when the responsible party is identifiable; however, this approach overlooks variations in workers’ subjective attributions when the responsible party is not clear. This study aims to address this gap by investigating the impacts of group heterogeneity and subjective and objective factors on these variations in subjective attribution. Applying attribution theory (AT), this study systematically analysed the results through a cluster analysis of a sample comprising 696 ride-hailing drivers. The analysis revealed significant group heterogeneity in the drivers’ subjective attributions, which could be categorised into five distinct groups. Furthermore, job satisfaction, organisational commitment and psychological pressure significantly influenced the subjective attributions of occupational injuries. Additionally, significant differences in attribution patterns were observed amongst the different groups. This study contributes to the expansion of the application of AT by revealing how different factors shape the attribution process. Finally, recommendations are provided for platforms, governments and drivers, focusing on implementing mental health management, reducing self-blame through organisational support and tailoring interventions to group heterogeneity to improve occupational injury prevention and rights protection.

在信息技术革命和数字经济蓬勃发展的背景下，所谓的新业态出现了，网约车行业成为中国这种转型的典范。以往的研究主要集中在责任方可识别的情况下的责任归属；然而，这种方法忽略了在责任方不明确的情况下，工人主观归因的变化。本研究旨在探讨群体异质性和主客观因素对这些主观归因变化的影响，以解决这一差距。本研究运用归因理论（AT），对696名网约车司机样本进行聚类分析。分析表明，驾驶员主观归因存在显著的群体异质性，可分为五个不同的群体。此外，工作满意度、组织承诺和心理压力对职业伤害主观归因有显著影响。此外，不同群体的归因模式也存在显著差异。本研究揭示了不同因素对归因过程的影响，有助于拓展归因的应用范围。最后，为平台、政府和司机提供了建议，重点是实施心理健康管理，通过组织支持减少自责，并根据群体异质性调整干预措施，以改善职业伤害预防和权利保护。

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引用次数: 0

Driver fatigue: crashes, the law, and traffic police officers’ experiences and views 司机疲劳：车祸，法律，交警的经验和观点

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103442

Igor Radun , Danijela Barić

Driver fatigue has long been recognized as an important cause of road crashes. However, official road crash statistics based on police reports underestimate its prevalence. The enforcement of laws regarding driver fatigue is difficult because no validated and reliable device exists to measure fatigue/sleepiness levels. This study examined driver fatigue in Croatia, focusing on its recognition in law, crash reporting, and enforcement. It aimed to quantify fatigue-related crashes and assess traffic police perspectives on the issue. We used three data sources: (1) national road crash data from 2009 to 2018, (2) a survey of Croatian traffic police officers (n = 1037) using a modified Finnish questionnaire, and (3) Ministry of the Interior records on drivers penalized under article that addresses driver’s fitness to drive including driver fatigue (2013–2023). The results show that driver fatigue was noted in fewer than one percent of crashes recorded in the national database, even for those that resulted in fatality. Punishing drivers based on their fatigue also appears to be rare. These numbers seem understandable considering Croatian traffic police officers’ reports of the difficulties they face in recognizing driver fatigue and prosecuting drivers on that basis. However, traffic police officers are aware of the dangers of driver fatigue. Conclusions. Challenges remain as to how to utilize the traffic police force in the detection of fatigued drivers on roads, recognize the role of fatigue in crash causation, and effectively enforce driver fatigue laws.

司机疲劳一直被认为是道路交通事故的一个重要原因。然而，基于警方报告的官方道路交通事故统计数据低估了其流行程度。关于司机疲劳的法律的执行是困难的，因为没有有效和可靠的设备来测量疲劳/困倦水平。这项研究调查了克罗地亚的司机疲劳，重点关注其在法律、事故报告和执法方面的认识。该研究旨在量化与疲劳相关的交通事故，并评估交警对这一问题的看法。我们使用了三个数据来源：(1)2009年至2018年的全国道路交通事故数据，(2)对克罗地亚交通警察的调查（n = 1037），使用修改后的芬兰问卷，以及(3)内政部关于驾驶员驾驶健康（包括驾驶员疲劳）的处罚记录（2013-2023）。结果显示，在国家数据库记录的撞车事故中，即使是那些导致死亡的事故，驾驶员疲劳的情况也不到1%。以疲劳为由惩罚司机的情况似乎也很少见。这些数字似乎可以理解，因为克罗地亚交通警察报告说，他们在识别驾驶员疲劳和据此起诉驾驶员方面遇到困难。然而，交警意识到司机疲劳的危险。结论。如何利用交通警察力量来检测道路上的疲劳驾驶员，认识到疲劳在事故原因中的作用，并有效地执行驾驶员疲劳法，仍然是挑战。

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引用次数: 0

A study on the role of weather, time pressure, and individual factors in pedestrian attention allocation patterns: Evidence from virtual reality eye-tracking experiments☆ 天气、时间压力和个体因素在行人注意力分配模式中的作用研究：来自虚拟现实眼动追踪实验的证据

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103436

Sajjad Mazloum , Navid Khademi , Zuduo Zheng

Background

Understanding pedestrian attention allocation is critical for enhancing safety at intersections and informing the design of safer pedestrian crossings.

Objectives

We investigate the effects of various factors (individual, environmental, and situational) on pedestrian attention allocation, specifically focusing on two indicators: ‘immediate surrounding attention allocation’ (ISAA), which emphasizes efficient navigation, and ‘safety attention allocation’ (SAA), which highlights adherence to safety measures. Additionally, the study evaluated the effectiveness of the pedestrian behavior questionnaire (PBQ) in assessing how pedestrians allocate their attention.

Methods

The study recruited 198 participants from various demographic groups. A virtual reality (VR) walking simulator with varying weather conditions was used, and eye-tracking recorded visual attention. Participants completed simulated street crossings under different conditions. Data were analyzed using statistical tests and structural equation modeling (SEM) to assess factors influencing pedestrian attention.

Findings

The results indicated that adverse weather conditions and time pressure significantly impaired pedestrian attention before and during street crossings. Specifically, hot weather led to increased ISAA. In contrast, rainy and cold conditions negatively affected SAA. Additionally, males exhibited greater attention to traffic settings compared to females, and prior crash experience enhanced cautious pedestrian behavior. The PBQ effectively predicted pedestrian SAA and accounted for the impact of individual characteristics on alertness to safety hazards before crossing the street. As expected, PBQ has fallen short of addressing participants’ ISAA before crossing and individuals’ attention allocation while crossing the street. The findings suggest actionable strategies for improving pedestrian attention and safety through targeted interventions.

了解行人的注意力分配对于提高十字路口的安全性和设计更安全的人行横道至关重要。我们研究了各种因素（个人、环境和情境）对行人注意力分配的影响，特别关注两个指标：“即时周围注意力分配”（ISAA），强调有效的导航，以及“安全注意力分配”（SAA），强调遵守安全措施。此外，本研究还评估了行人行为问卷（PBQ）在评估行人如何分配注意力方面的有效性。方法本研究从不同人群中招募了198名参与者。在不同天气条件下使用虚拟现实（VR）行走模拟器，眼球追踪记录视觉注意力。参与者在不同条件下完成模拟过马路。采用统计检验和结构方程模型（SEM）对影响行人注意力的因素进行分析。研究结果表明，恶劣的天气条件和时间压力显著影响行人在过马路前和过马路时的注意力。具体来说，炎热天气导致ISAA增加。相比之下，多雨和寒冷条件对SAA有不利影响。此外，与女性相比，男性对交通环境表现出更大的关注，之前的碰撞经历增强了谨慎的行人行为。PBQ能有效预测行人的SAA，并解释了个体特征对过马路前安全危险警觉性的影响。正如预期的那样，PBQ在解决参与者过马路前的ISAA和个人过马路时的注意力分配方面存在不足。研究结果为通过有针对性的干预措施提高行人的注意力和安全性提供了可行的策略。

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引用次数: 0

Imperfect advanced driver assistance systems in the eyes of imperfect users 在不完美的用户眼中，不完美的高级驾驶辅助系统

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103447

Yueying Chu , Wenting Tang , Shanguang Chen , Peng Liu

Advanced Driver Assistance Systems (ADAS; Level 2 vehicle automation) are increasingly common in vehicles. Although these systems are designed to enhance driving comfort and safety, their capabilities and limitations are often misjudged, potentially creating new traffic risks. While drivers’ misunderstanding and overreliance on ADAS have been implicated in several high-profile accidents, insufficient empirical research has examined how such misconceptions relate to unsafe driving behaviors. In a pre-registered survey of 130 Tesla Autopilot users in China, we measured users’ underestimation and overestimation of Autopilot’s capabilities and their operational knowledge regarding the use of Autopilot’s key functions. Participants were more likely to overestimate than underestimate Autopilot’s capabilities, with mean accuracies of about 40 % and 70 %, respectively. Neither misconception was associated with self-reported engagement in non-driving-related activities (e.g., eating and sleeping) while using ADAS. Participants did not show sufficient operational knowledge, with mean accuracy below 75 %. Operational knowledge was positively correlated with intentions to engage in common non-driving-related activities such as eating (r = 0.25, p = 0.004), but not with intentions to sleep (r = − 0.10, p = 0.235). In addition, their propensity to trust machines (a trait-like tendency) was positively correlated with intentions to engage in both common non-driving-related activities (r = 0.28, p = 0.002) and sleeping (r = 0.30, p < 0.001). We discuss the theoretical and practical implications of these findings, particularly in relation to driver education and training that foster appropriate understanding and use of ADAS.

高级驾驶辅助系统（ADAS, Level 2 vehicle automation）在汽车中越来越普遍。尽管这些系统旨在提高驾驶舒适性和安全性，但它们的能力和局限性往往被误判，可能会带来新的交通风险。虽然驾驶员对ADAS系统的误解和过度依赖与几起引人注目的事故有关，但没有足够的实证研究来检验这种误解与不安全驾驶行为之间的关系。在对中国130名特斯拉自动驾驶仪用户的预注册调查中，我们测量了用户对自动驾驶仪功能的低估和高估，以及他们对自动驾驶仪关键功能使用的操作知识。参与者更有可能高估而不是低估Autopilot的能力，平均准确率分别约为40%和70%。这两种误解都与使用ADAS时自我报告的非驾驶相关活动（如吃饭和睡觉）有关。参与者没有表现出足够的操作知识，平均准确率低于75%。操作知识与参与常见非驾驶相关活动（如进食）的意愿呈正相关（r = 0.25, p = 0.004），但与睡眠意愿无关（r = - 0.10, p = 0.235）。此外，他们信任机器的倾向（一种类似特质的倾向）与参与与驾驶无关的常见活动（r = 0.28, p = 0.002）和睡眠（r = 0.30, p < 0.001）的意愿呈正相关。我们讨论了这些发现的理论和实践意义，特别是与驾驶员教育和培训有关，以促进对ADAS的适当理解和使用。

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引用次数: 0

Postural and physiological indicators of drowsiness at the wheel compared in partially and conditionally autonomous on-road driving 部分自主驾驶和条件自主驾驶时的睡意姿势和生理指标比较

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103444

Gaëtan Perrotte , Jean-Louis Vercher , Clément Bougard

With increasing numbers of partially and conditionally autonomous vehicles (i.e., levels L2 to L3) on the roads, altered driver states such as inattention or drowsiness at the wheel may be exacerbated. This new way of driving will, however, make the indicators traditionally used to detect altered states less relevant. New detection methods using other indicators, such as physiological and postural indicators, could be a solution. In this study, 21 participants drove on motorways in a dual control vehicle at two levels of automation (L2+ and L3). Seat pressure and physiological (i.e., cardiac and respiratory) indicators were continuously recorded and state of drowsiness was classified according to PERCLOS70. In defined states of drowsiness, different physiological and postural characteristics were identified. Results show that postural indicators are more sensitive to level of automation than physiological indicators, suggesting that posture may reflect behavior associated with a particular level of autonomous driving. This suggestion is supported by subjective feelings elicited from the drivers. The multiple postures observed to be associated with deep drowsiness (or falling asleep) point to inter-individual postural variability. Postural information could therefore reflect both active behavior and drowsiness, whereas physiological information appears only to reflect drowsiness. This study demonstrates the value of using such measurements jointly to detect drowsiness at the wheel.

随着道路上部分自动驾驶和有条件自动驾驶汽车（即L2至L3级）数量的增加，驾驶状态的改变（如驾驶时注意力不集中或困倦）可能会加剧。然而，这种新的驾驶方式将使传统上用于检测状态变化的指标变得不那么重要。使用其他指标的新检测方法，如生理和姿势指标，可能是一种解决方案。在这项研究中，21名参与者驾驶双控车辆在高速公路上驾驶两种自动化水平（L2+和L3）。连续记录座椅压力和生理（即心脏和呼吸）指标，并根据PERCLOS70对困倦状态进行分类。在定义的困倦状态中，确定了不同的生理和姿势特征。结果表明，姿势指标比生理指标对自动化水平更敏感，这表明姿势可能反映了与特定水平的自动驾驶相关的行为。这一建议得到了来自司机的主观感受的支持。观察到的与深度嗜睡（或入睡）相关的多种姿势表明个体之间的姿势可变性。因此，姿势信息可以同时反映活跃行为和困倦，而生理信息似乎只反映困倦。这项研究证明了联合使用这些测量方法来检测开车时困倦的价值。

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引用次数: 0

Exploring key factors influencing urban air transport Acceptance: A trust and Risk-Embedded UTAUT2 framework 探索影响城市航空运输接受度的关键因素：信任和风险嵌入UTAUT2框架

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103448

Xiao-Feng Sun

Urban Air Transportation (UAT) provides a promising remedy for urban congestion, improving travel efficiency and mitigating environmental effects. This research expands the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by integrating trust (TR) and perceived risk (PR) to identify both facilitating and obstructive elements in UAT acceptance. Survey data from 184 respondents were analyzed using structural equation modeling. The results indicate that performance expectancy (PE) is the most significant positive predictor of usage intention (UI), succeeded by effort expectancy (EE), social influence (SI), and price value (PV). Conversely, hedonic motivation (HM) is non-significant, highlighting the utilitarian essence of UAT. PR significantly diminishes UI both directly and indirectly by undermining TR, which partially mediates the PR–UI relationship. Some useful tips are to put functional design first, spend money on safety certifications and privacy protections, use social influence, and improve pricing strategies. Policy implications underscore the necessity of standardizing safety and privacy metrics while promoting international collaboration to cultivate social consensus. This research enhances transportation psychology by substantiating the mediating function of trust in the PR–UI relationship and providing a comprehensive framework that considers both facilitators and barriers to adoption.

城市航空运输（UAT）为缓解城市拥堵、提高出行效率和减轻环境影响提供了一种有希望的方法。本研究通过整合信任（TR）和感知风险（PR），扩展了技术接受与使用统一理论（UTAUT2），以确定技术接受的促进因素和阻碍因素。184名受访者的调查数据采用结构方程模型进行分析。结果表明，绩效期望（PE）是使用意向（UI）的最显著正向预测因子，其次是努力期望（EE）、社会影响（SI）和价格价值（PV）。相反，享乐动机（HM）不显著，凸显了UAT的功利性本质。PR通过破坏TR直接或间接地显著降低UI，而TR在一定程度上介导了PR - UI关系。一些有用的建议是把功能设计放在第一位，在安全认证和隐私保护上花钱，利用社会影响力，改进定价策略。政策影响强调了在促进国际合作以培养社会共识的同时标准化安全和隐私指标的必要性。本研究通过证实信任在PR-UI关系中的中介作用，并提供一个综合的框架来考虑采用的促进因素和障碍，从而增强了运输心理。

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引用次数: 0