Transportation Research Part F-Traffic Psychology and Behaviour最新文献_第3页

Driving under time pressure: Driver state and behavior changes with limited time savings in complex road networks - A naturalistic time-incentive study with young male drivers 时间压力下的驾驶：复杂道路网络中有限时间节省下的驾驶员状态和行为变化——对年轻男性驾驶员的自然时间激励研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-24 DOI: 10.1016/j.trf.2025.103483

Yanqing Yao , Wuyang Chen , Xiaoyu Zhuang , Chenyu Xu , Doyeon Lee , Xiaoou Yang , Jie Wang , Shijian He

When driving under time pressure, drivers often adjust their behavior to save travel time. Understanding these changes is important for evaluating their potential impacts on traffic safety and travel efficiency. This study examines how time pressure affects driving behavior, physiological responses, and travel time in complex urban road environments. Thirty-two young drivers completed two naturalistic driving tasks representing low and high time-pressure conditions on routes containing traffic-light-dense and non-dense segments. The driving behavior (speed, overspeeding frequency, and lane-changing frequency), physiological indicators (heart rate and skin conductance level), and travel time were recorded. The results show that time pressure led to significantly more assertive driving behaviors, with higher speeds and increased overspeeding and lane-changing frequency under high time pressure. By contrast, no statistically significant differences were observed in both the heart rate and skin conductance levels across the roadway segments. The effects of time pressure on the travel time were highly context dependent: no meaningful time savings occurred on traffic-light-dense segments, whereas small but measurable reductions were achieved on non-dense segments. These findings indicate that although time pressure reliably intensifies driving behavior, actual efficiency gains are limited and strongly constrained by roadway signal density. This evidence supports efforts in traffic safety policy and driver education to recalibrate drivers’ expectations regarding the effectiveness of assertive driving under time pressure.

在时间紧迫的情况下开车时，司机往往会调整自己的行为来节省出行时间。了解这些变化对于评估其对交通安全和出行效率的潜在影响非常重要。本研究探讨了在复杂的城市道路环境中，时间压力如何影响驾驶行为、生理反应和行驶时间。32名年轻司机完成了两项自然驾驶任务，分别代表低时间压力和高时间压力条件，其中包括交通轻密度和非密集路段。记录受试者的驾驶行为（车速、超速频率、变道频率）、生理指标（心率、皮肤电导水平）和行驶时间。结果表明，时间压力显著提高了司机的自信驾驶行为，在高时间压力下，司机的车速更高，超速和变道频率增加。相比之下，在不同路段的心率和皮肤电导水平上没有统计学上的显著差异。时间压力对旅行时间的影响是高度依赖于环境的：在交通轻密度路段没有明显的时间节省，而在非密集路段则实现了小但可测量的减少。这些发现表明，虽然时间压力确实会增强驾驶行为，但实际效率的提高是有限的，并且受到道路信号密度的强烈约束。这一证据支持了交通安全政策和驾驶员教育方面的努力，以重新调整驾驶员对时间压力下自信驾驶有效性的期望。

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引用次数: 0

Driving the shift to electric motorcycles: the role of AI trust and AI benefits 推动向电动摩托车的转变：人工智能信任和人工智能效益的作用

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-20 DOI: 10.1016/j.trf.2025.103484

Duy Quy Nguyen-Phuoc , Thao Nhi Ho-Mai , Thao Phuong Thi Nguyen , Nhat Dinh Quang Vo , Tuan Trong Luu , Diep Ngoc Su

Motorcycles dominate urban transport in Southeast Asia but significantly contribute to air pollution and health risks. Government efforts to promote electric motorcycles (EMs) have been extensive, yet consumer switch rates continue to lag behind expectations. Currently, AI plays a transformative role in the development, functionality, and optimisation of EMs; however, the influence of beliefs in AI benefits and trust in AI on EM switching intention has not been examined. This study addresses this gap by extending the Value-Belief-Norm theory with these two constructs, incorporating age and gender as moderators. Additionally, perceived value is treated as a second-order construct, consisting of five dimensions that collectively capture its multifaceted nature. Data from Vietnamese respondents were analysed using PLS-SEM. The results show that perceived value directly influences beliefs in EM benefits, AI benefits for EMs, and trust in AI technologies. Trust in AI and personal norms significantly shape the switching intention. This research provides actionable recommendations for policymakers to accelerate EM switching intention and contributes to advancing theoretical discussions on sustainable transport and AI integration in mobility solutions.

摩托车在东南亚的城市交通中占主导地位，但也严重造成空气污染和健康风险。政府大力推广电动摩托车，但消费者的转换率仍然落后于预期。目前，人工智能在新兴市场的开发、功能和优化方面发挥着变革性作用；然而，对人工智能利益的信念和对人工智能的信任对EM转换意愿的影响尚未得到研究。本研究通过将年龄和性别作为调节因素，将价值-信念-规范理论扩展到这两个构念，从而解决了这一差距。此外，感知价值被视为二阶结构，由五个维度组成，共同捕捉其多面性。越南受访者的数据使用PLS-SEM进行分析。结果表明，感知价值直接影响对新兴市场利益的信念、新兴市场的人工智能利益以及对人工智能技术的信任。对人工智能的信任和个人规范显著影响了转换意愿。这项研究为政策制定者提供了可操作的建议，以加速新兴市场的转换意图，并有助于推进可持续交通和人工智能在移动解决方案中的整合的理论讨论。

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引用次数: 0

Investigating the negative emotional intensity and cognitive workload levels of young Novice drivers in different high-risk driving scenarios: A simulated driving study 不同高危驾驶情景下年轻新手驾驶员负性情绪强度和认知负荷水平的模拟驾驶研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-20 DOI: 10.1016/j.trf.2025.103493

Weiwei Wang , Zhiqiang Wen , Qizhao Peng , Zihao Zhang , Congge Shi , Ting Wei

Young novice drivers are prone to negative emotions in high-risk situations. These emotions consume limited cognitive resources and raise crash risk. Existing research has not systematically clarified the relationships among driving scenarios, emotion types, emotion intensity, and multi-channel cognitive workload. Accordingly, this study used a driving-simulator experiment to analyze these linkages. We recruited 144 Chinese young novice drivers and used pre-validated video clips to induce neutral, anger, fear, anxiety. Data were collected via the Self-Assessment Manikin (SAM), the Visual-Auditory-Cognitive-Psychomotor (VACP) workload model, and semi-structured interviews. The results showed that: (1) Negative emotions significantly increased cognitive workload in young novice drivers. Anger and fear causd significant instantaneous workload fluctuations, whereas anxiety yielded the highest mean workload. (2) Distinct negative emotions were triggered by specific driving scenarios, which have different stressors (such as security threat, time pressure and environmental complexity). The potential outcome brought by these situational stressors affect the intensity of emotion. (3) Emotion intensity was positively associated with workload level. High-arousal emotions more likely to increase demands on visual, cognitive, and psychomotor resources. Within a unified paradigm, this study delineates the pathway linking driving scenarios, emotion types, emotion intensity, and multi-channel workload. The findings provide evidence for in-vehicle emotion monitoring and environmental-adaptive interventions.

年轻的新手司机在高风险的情况下容易产生负面情绪。这些情绪消耗有限的认知资源，增加崩溃的风险。现有研究尚未系统地阐明驾驶情景、情绪类型、情绪强度与多通道认知负荷之间的关系。因此，本研究使用驾驶模拟器实验来分析这些联系。我们招募了144名中国年轻的新手司机，并使用预先验证的视频片段来诱导中性、愤怒、恐惧和焦虑。数据通过自我评估模型（SAM）、视觉-听觉-认知-精神运动（VACP）工作量模型和半结构化访谈收集。结果表明：(1)负性情绪显著增加了年轻新手驾驶员的认知负荷。愤怒和恐惧会导致显著的瞬时工作量波动，而焦虑会产生最高的平均工作量。(2)不同的驾驶场景会触发不同的负性情绪，这些负性情绪具有不同的应激源（如安全威胁、时间压力和环境复杂性）。这些情境应激源所带来的潜在结果会影响情绪的强度。(3)情绪强度与工作量水平正相关。高唤醒情绪更有可能增加对视觉、认知和精神运动资源的需求。在一个统一的范式中，本研究描绘了驾驶场景、情绪类型、情绪强度和多渠道工作量之间的联系途径。研究结果为车载情绪监测和环境适应性干预提供了依据。

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引用次数: 0

Explicit knowledge of driver monitoring systems changes their effectiveness in reducing visual distraction 对驾驶员监控系统的明确了解改变了它们在减少视觉分心方面的有效性

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-17 DOI: 10.1016/j.trf.2025.103480

Ina Koniakowsky , Yannick Forster , Frederik Naujoks , Josef F. Krems , Andreas Keinath

Driver monitoring systems (DMS) represent a camera-based countermeasure for visual distraction that detect distracted drivers in real-time and subsequently prompt them to look back on the road. However, the effectiveness of DMS in reducing distraction is still being debated, with studies yielding inconsistent results. A correct understanding of a technological system is a key determinant for its effectiveness in terms of enhancing safety. Therefore, addressing a previously unexplored factor in DMS research, this study investigated how drivers' explicit knowledge about DMS influences system effectiveness in reducing visual distraction. Previous studies showed that drivers' understanding of DMS is incomplete if drivers are not instructed. Therefore, in this study, the drivers' explicit knowledge of DMS was systematically manipulated between participants by providing verbal instructions prior to driving. Three experimental conditions were compared: drivers with explicit knowledge of DMS, drivers without knowledge, and a control group with an inactive DMS (between factor). Glance behavior was compared between the first and repeated interaction with the secondary task to assess visual distraction (within factor). Explicit knowledge significantly reduced the number of glances exceeding 2 s, indicating reduced visual distraction. This effect was prevalent, even after repeated interaction with the DMS. Importantly, mere activation of DMS without instruction did not affect glance behavior. Findings highlight the significant role of explicit knowledge in system effectiveness. The present work contributes to the field of DMS research by investigating drivers' mental model of DMS and deriving methodological and practical implications.

驾驶员监控系统（DMS）代表了一种基于摄像头的视觉分心对策，可以实时检测分心的驾驶员，并随后提示他们回头看路。然而，DMS在减少注意力分散方面的有效性仍在争论中，研究结果不一致。对技术系统的正确理解是其在提高安全性方面的有效性的关键决定因素。因此，为了解决DMS研究中一个以前未被探索的因素，本研究调查了驾驶员对DMS的显性知识如何影响系统在减少视觉分心方面的有效性。以前的研究表明，如果司机没有得到指导，司机对DMS的理解是不完整的。因此，在本研究中，通过在驾驶前提供口头指示，系统地操纵了驾驶员对DMS的外显知识。比较了三种实验条件：驾驶员对DMS有明确的认识，驾驶员对DMS不了解，驾驶员对DMS不了解的对照组（介于因素之间）。比较第一次和重复与次要任务交互的目光行为，以评估视觉分散（内因素）。显性知识显著减少了超过2秒的扫视次数，表明视觉分心减少了。即使在与DMS反复相互作用后，这种效果仍然普遍存在。重要的是，在没有指示的情况下，仅仅激活DMS并不影响浏览行为。研究结果强调了显性知识在系统有效性中的重要作用。本研究通过对DMS驱动者心理模型的研究，得出了方法和实践意义，为DMS研究领域做出了贡献。

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引用次数: 0

Micro mobility safety challenges: a study on drivers overtaking bicycles and E-scooters in relation to road conditions and prior riding experience 微交通安全挑战：驾驶员超车自行车和电动滑板车与道路条件和先前骑行经验的关系研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-17 DOI: 10.1016/j.trf.2025.103482

Hyunchul Park, Taeho Oh, Jaehyuck Lim, Inhi Kim

While micromobility offers flexible solutions for first and last mile transportation, harmonizing with the existing public transportation, it raises substantial safety concerns, especially when overtaken by vehicles. Since the road infrastructure and regulations for micromobility have not kept pace with the rapid expansion, understanding the unique safety issues related to micromobility remains a critical task. This study aims to investigate the influence of cross-modal experience—drivers' direct experience with micromobility and road conditions on overtaking behavior towards micromobility, which includes e-scooters and bicycles, representatively. Using a VR-based simulator experiment, data were collected from 30 participants to analyze overtaking behavior. A linear mixed model was applied to assess how these factors impact driver's behaviors, such as lateral clearance, overtaking speed, and gaze fixation counts. The results indicate that drivers with cross-modal experience maintain wider lateral clearances when overtaking both e-scooters and bicycles, reflecting heightened awareness of micromobility safety needs. Additionally, poor road conditions make drivers increase lateral clearance and gaze fixation, emphasizing the importance of road infrastructure in ensuring safety. However, cross-modal experience did not significantly affect overtaking speed and road conditions for e-scooters. Conversely, a significant interaction with bicycles highlights the complexity of driving behavior and the need for comprehensive safety strategies. These findings support the development of educational programs promoting cross-modal experiences and targeted infrastructure improvements, such as dedicated e-scooter lanes, to enhance road safety for all users.

虽然微型交通为第一英里和最后一英里的交通提供了灵活的解决方案，与现有的公共交通相协调，但它引发了重大的安全问题，尤其是在被车辆超越的时候。由于道路基础设施和微交通法规没有跟上快速扩张的步伐，了解与微交通相关的独特安全问题仍然是一项关键任务。本研究旨在探讨跨模式体验——驾驶员对微交通工具的直接体验和道路条件对微交通工具超车行为的影响，以电动滑板车和自行车为代表。采用基于vr的仿真实验，收集30名参与者的数据，分析超车行为。采用线性混合模型来评估这些因素如何影响驾驶员的行为，如横向间隙、超车速度和注视次数。结果表明，具有跨模式经验的驾驶员在超车时保持更大的横向间隙，这反映了他们对微移动安全需求的意识提高。此外，恶劣的道路条件使驾驶员增加横向间隙和注视，强调了道路基础设施在确保安全方面的重要性。然而，跨模式体验对电动滑板车的超车速度和路况没有显著影响。相反，与自行车的重要互动凸显了驾驶行为的复杂性和综合安全策略的必要性。这些发现支持制定促进跨模式体验的教育计划和有针对性的基础设施改进，例如专用电动滑板车车道，以提高所有用户的道路安全。

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引用次数: 0

Preliminary efficacy of ‘high-alert’ a brief smartphone intervention to reduce Cannabis-impaired driving among youth: A pilot randomized controlled trial “高度警惕”智能手机干预减少青少年大麻驾驶的初步效果：一项随机对照试验

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-17 DOI: 10.1016/j.trf.2025.103489

Robert Colonna , Patricia Tucker , Angela Mandich , Liliana Alvarez

Introduction

Driving under the influence of cannabis (DUIC) is a growing public health concern, particularly among young drivers. This pilot study explores the short-term preliminary efficacy of High Alert, a brief smartphone intervention designed to reduce DUIC among youth.

Methods

An online pilot randomized controlled trial was conducted with 102 youth aged 18–24 who had a history of DUIC (≥3 times in the past 3 months). Participants were randomized into three groups: High Alert (n = 37), Active Control (n = 34), or Passive Control (n = 31). High Alert included two web-based sessions on cannabis and DUIC education. The Active Control received a single session reviewing six DUIC-related infographics, while the Passive Control received no intervention. The primary outcome was self-reported DUIC incidents (alone or with other substances) over 3 months, assessed at baseline and 3-month follow-up.

Results

Among the 52 participants who completed the 3-month follow-up (High Alert: n = 16; Active Control: n = 16; Passive Control: n = 20), High Alert showed the greatest mean reduction in DUIC incidents (-7.44, Cohen’s d = -0.40), compared to Active Control (-3.62, d = -0.49) and Passive Control (-3.05, d = -0.38). The reduction was statistically significant compared to Passive Control (β = -0.61, p = .03), but not Active Control (β = -0.08, p = .781).

Conclusions

Preliminary findings suggest that High Alert may show promise in reducing self-reported DUIC behaviours compared to a no-contact control group, but additional research with larger samples and longer follow-ups is needed.

ClinicalTrials.gov registration

NCT06098573.

在大麻影响下驾驶（DUIC）是一个日益严重的公共卫生问题，特别是在年轻司机中。这项试点研究探讨了高警报的短期初步效果，这是一种旨在减少青少年DUIC的简短智能手机干预。方法对102例18-24岁有DUIC病史（过去3个月内≥3次）的青年患者进行在线先导随机对照试验。参与者被随机分为三组：高度警戒组（n = 37）、主动控制组（n = 34）和被动控制组（n = 31）。“高度警戒”包括两次关于大麻和DUIC教育的网络会议。主动控制组接受单次回顾6张duic相关信息图，而被动控制组不接受干预。主要结局是自我报告的DUIC事件（单独或与其他物质）超过3个月，在基线和3个月的随访中进行评估。结果在完成3个月随访的52名参与者中（高警戒组：n = 16；主动对照组：n = 16；被动对照组：n = 20），与主动对照组（-3.62,d = -0.49）和被动对照组（-3.05,d = -0.38）相比，高警戒组DUIC事件的平均减少幅度最大（-7.44,Cohen’s d = -0.40）。与被动对照组相比，减少有统计学意义（β = -0.61, p = .03），但与主动对照组相比，减少无统计学意义（β = -0.08, p = .781）。初步研究结果表明，与无接触对照组相比，High Alert可能在减少自我报告的DUIC行为方面显示出希望，但需要更多的样本和更长时间的随访研究。

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引用次数: 0

Investigating factors influencing different types of risky mobile phone use among delivery riders: Using work-related apps, calling, and using navigation apps 调查影响快递员不同类型手机使用风险的因素：使用与工作相关的应用程序、打电话和使用导航应用程序

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-16 DOI: 10.1016/j.trf.2025.103490

Maedeh Rajabi , Zeinab Karami , Kayvan Aghabayk , Sina Rejali , Massoud Palassi

Mobile phone use while riding is a common risky behavior among Iranian delivery riders, posing a significant risk to their safety. This study examines delivery riders' intentions and self-reported behavior regarding using work-related apps, calling, and using navigation apps based on an extended Theory of Planned Behavior (TPB) model. The extended model considered riding in extreme conditions, mobile phone involvement, risk perception, and distraction perception in explaining mobile phone use. To gain a deeper understanding of the salient beliefs, open-ended questions were also provided. Data gathered from 419 delivery riders using face-to-face survey interviewing in Tehran, Iran and were examined using Structural Equation Modeling (SEM). Additionally, Multiple Indicator Multiple Causes (MIMIC) models and Multi-Group Analysis (MGA) were employed to address heterogeneity across various individual groups. The results revealed that behavioral intention, followed by riding in extreme conditions and perceived behavioral control, were the strongest predictors of mobile phone use across all models. However, attitude was significant only for work-related apps and calling. In addition, risk perception and distraction perception indirectly influenced mobile phone use through perceived behavioral control for all three behaviors, while the effect of mobile phone involvement was strongest for calling behavior and negligible for work-related and navigation apps. The results showed that riders with prior crash experience used work-related apps and calls more, while experienced riders and those with longer working hours used navigation apps less. Based on the findings of this study, several implications, including targeted interventions and suggestions for employers to reduce mobile phone use, were proposed.

乘车时使用手机是伊朗快递员中常见的危险行为，对他们的安全构成重大风险。本研究基于扩展的计划行为理论（TPB）模型，调查了快递员在使用与工作相关的应用程序、打电话和使用导航应用程序方面的意图和自我报告行为。扩展模型在解释手机使用时考虑了极端条件下的骑行、手机卷入、风险感知和分心感知。为了更深入地了解突出的信念，还提供了开放式问题。通过对伊朗德黑兰的419名快递员进行面对面调查访谈，并使用结构方程模型（SEM）对数据进行了检验。此外，采用多指标多原因（MIMIC）模型和多群体分析（MGA）来解决不同个体群体之间的异质性。结果显示，行为意图，其次是在极端条件下骑行和感知行为控制，是所有模型中最强的手机使用预测因素。然而，态度只对与工作相关的应用程序和电话有影响。此外，风险感知和分心感知通过感知行为控制间接影响手机使用，而手机参与对通话行为的影响最大，对工作相关和导航应用的影响可以忽略不计。结果显示，有过车祸经历的乘客更多地使用与工作相关的应用程序和电话，而有经验的乘客和工作时间较长的乘客则较少使用导航应用程序。基于本研究的发现，提出了一些启示，包括有针对性的干预措施和雇主减少手机使用的建议。

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引用次数: 0

Determinants of risky riding behaviors among motorcycle taxi riders in Dar Es Salaam, Tanzania 坦桑尼亚达累斯萨拉姆摩托车出租车乘客危险驾驶行为的决定因素

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-16 DOI: 10.1016/j.trf.2025.103486

Katondo Salvatory Nambiza , An Neven , Wilfred Gordian Kazaura , Kris Brijs

Background

Motorcycle taxi riders (MTRs) are vital for urban mobility in many low- and middle-income countries (LMICs), yet they experience a disproportionately high rate of involvement in road traffic crashes. This is primarily linked to risky riding behaviors whose underlying drivers remain insufficiently understood.

Objective

This study examines the prevalence of risky riding behaviors among MTRs in Dar es Salaam (DSM), Tanzania, and identifies the key motivations driving these behaviors.

Methods

A cross-sectional survey was conducted with 853 MTRs in urban and peri-urban areas of DSM. Data were analyzed using descriptive statistics, Spearman correlation, and logistic regression to explore associations between reported behaviors and motivational factors.

Results

Key predictors of risky behaviors included financial pressure, passenger and peer influence, and deficits in risk perception. Riders under financial strain were more likely to overload passengers, ignore traffic signals, and speed. Influences from peers and passengers also led to behaviors such as lane splitting, riding on restricted roads, and using phones while riding. Despite weak enforcement, some riders demonstrate a degree of self-regulation. However, training programs and public awareness campaigns did not consistently lower risk levels.

Conclusion

Risky behaviors among MTRs in DSM are often rational responses to local economic and systemic constraints rather than just recklessness. Effective interventions must move beyond punitive measures to encompass training reform, infrastructure improvements, inclusive enforcement, and financial support. To enhance safety, it is essential to engage riders as partners in road safety rather than merely subjects of regulation.

在许多低收入和中等收入国家，摩托车出租车乘客对城市交通至关重要，但他们参与道路交通碰撞的比例却高得不成比例。这主要与危险的驾驶行为有关，其潜在的驱动因素仍然没有得到充分的了解。目的本研究调查了坦桑尼亚达累斯萨拉姆（DSM）地铁乘客中危险骑行行为的流行程度，并确定了驱动这些行为的主要动机。方法采用横断面调查方法，对DSM市区和城郊853名mtr进行调查。数据分析采用描述性统计、Spearman相关和逻辑回归来探讨报告行为与动机因素之间的关联。结果风险行为的主要预测因子包括经济压力、乘客和同伴影响以及风险认知缺陷。经济紧张的乘客更有可能让乘客超载，无视交通信号，超速行驶。来自同伴和乘客的影响也导致了诸如分车道、在限制道路上骑行、骑行时使用手机等行为。尽管执法不力，但一些乘客表现出一定程度的自律。然而，培训计划和公众意识运动并没有持续降低风险水平。结论DSM中mtr的风险行为往往是对当地经济和制度约束的理性反应，而不仅仅是鲁莽行为。有效的干预措施必须超越惩罚性措施，包括培训改革、基础设施改善、包容性执法和财政支持。为了加强安全，必须让乘客成为道路安全的合作伙伴，而不仅仅是监管的对象。

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引用次数: 0

An educational video can improve pedestrians' appreciation of nighttime conspicuity issues 一个教育视频可以提高行人对夜间显眼问题的认识

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-16 DOI: 10.1016/j.trf.2025.103485

Morgan D. McCree , Richard A. Tyrrell , Joanne M. Wood

Most pedestrian fatalities occur at night, and poor conspicuity has been identified as a critical problem. Recent evidence suggests that road users typically do not appreciate the conspicuity benefits of enhancing contrast, incorporating retroreflectivity, and configuring retroreflective markers in a biological motion configuration. This experiment investigated the efficacy of an educational video aimed to educate road users regarding relevant safety-critical principles that impact the nighttime conspicuity of pedestrians. Fifty-four college students (mean age = 19.2 ± 1.2 years) were randomly assigned to either watch the video (intervention; n = 27) or not (control; n = 27). Participants selected photographs from a series of arrays to provide quantitative judgments of the nighttime visibility of a pedestrian wearing each of five clothing configurations. Relative to the control group, those who watched the video (1) appropriately estimated shorter recognition distances for clothing configurations that did not include retroreflective markings, and (2) appropriately estimated longer recognition distances for configurations that included retroreflective markings configured to highlight biological motion. Further, this pattern was also present in participants' ratings of safety and visibility and in their rankings of the visibility of the clothing configurations. In addition, participants who watched the video demonstrated a better understanding of critical concepts regarding pedestrian conspicuity at night. Overall, these results provide strong support for using a video to help road users understand (1) the dangers of interacting with traffic at night, and (2) simple and inexpensive ways to maximize their own conspicuity to approaching drivers at night.

大多数行人死亡事故发生在夜间，能见度差已被确定为一个关键问题。最近的证据表明，道路使用者通常没有意识到在生物运动配置中增强对比度、加入反向反射和配置反向反射标记的显著性好处。本实验调查了一段教育视频的效果，该视频旨在教育道路使用者有关影响行人夜间显著性的相关安全关键原则。54名大学生（平均年龄= 19.2±1.2岁）被随机分配观看视频组（干预组，n = 27）和不观看视频组（对照组，n = 27）。参与者从一系列阵列中选择照片，以提供对穿着五种服装的行人夜间能见度的定量判断。与对照组相比，那些观看视频的人(1)适当地估计了不包括反光标记的服装配置的识别距离较短，(2)适当地估计了包含反光标记的服装配置的识别距离较长，以突出生物运动。此外，这种模式也出现在参与者对安全性和可见度的评级以及他们对服装配置可见度的排名中。此外，观看视频的参与者对夜间行人显眼性的关键概念有了更好的理解。总的来说，这些结果为使用视频来帮助道路使用者了解(1)夜间与车辆互动的危险，以及(2)简单而廉价的方法来最大限度地提高自己对夜间接近的司机的可视性提供了强有力的支持。

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引用次数: 0

Investigating the effect of road lighting color temperature on road visibility at night 研究夜间道路照明色温对道路能见度的影响

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-12-15 DOI: 10.1016/j.trf.2025.103481

Kang-Hung Liu , Pin-Ling Liu , Jun-Rui Guo , Ta-En Hung , Chien-Chi Chang

This study investigated the effects of road lighting correlated color temperature (CCT) on visual performance and subjective experience under mesopic conditions (∼28 lx). Through controlled experiments, it assessed four CCTs (1800 K, 3000 K, 4000 K, and 5000 K) with 24 participants aged 23–27 years. Visual performance was assessed through target detection and reading tasks, while subjective responses were evaluated using questionnaires measuring eye fatigue, discomfort, tension, and concentration levels. The setup replicated realistic driving conditions, with participants observing stimuli from a stationary vehicle through a windshield. Results revealed a threshold effect where performance remained stable across 1800 K–4000 K but showed a deficit at 5000 K rather than following a linear trend. Specifically, 5000 K lighting required significantly higher contrast for target detection compared to lower CCTs. While reading performance showed no statistically significant differences across CCTs, accuracy was highest under 4000 K lighting (97.13 %). Subjective assessments indicated increased tension levels at higher CCTs, with peak concentration reported at 4000 K. These findings suggest that 4000 K lighting may provide an optimal balance between visual performance and user comfort in nighttime driving environments, contributing empirical evidence for road lighting design under mesopic conditions.

本研究调查了中视条件下（~ 28 lx）道路照明相关色温（CCT）对视觉表现和主观体验的影响。通过对照实验，对24名年龄在23-27岁的参与者进行了4项cct （1800k、3000k、4000k和5000k）评估。通过目标检测和阅读任务来评估视觉表现，而主观反应则通过测量眼睛疲劳、不适、紧张和注意力水平的问卷来评估。该装置模拟了真实的驾驶条件，参与者通过挡风玻璃观察静止车辆的刺激。结果显示了阈值效应，在1800 K - 4000 K时性能保持稳定，但在5000 K时表现出缺陷，而不是遵循线性趋势。具体来说，与较低的cct相比，5000 K照明对目标检测的对比度要求明显更高。虽然不同cct的阅读表现没有统计学上的显著差异，但4000 K照明下的准确率最高（97.13%）。主观评估表明，在较高的cct下，张力水平增加，在4000 K时达到峰值。这些发现表明，4000 K照明可以在夜间驾驶环境中提供视觉性能和用户舒适度之间的最佳平衡，为中视条件下的道路照明设计提供经验证据。

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引用次数: 0