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

Understanding motorcyclists' perceptions of risk, safety behaviors, and attitudes toward public safety measures: A qualitative study in two argentine cities, Buenos Aires and Córdoba 了解摩托车手的风险感知、安全行为和对公共安全措施的态度：阿根廷两个城市布宜诺斯艾利斯和Córdoba的定性研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-27 DOI: 10.1016/j.trf.2026.103512

Fernando Martín Poó , Rubén Daniel Ledesma , Elizaveta Zeinalova , Irina Morozova , Nandita Murukutla

Motorcyclists are among the most vulnerable road users globally. In Argentina, this group faces a critical safety crisis, accounting for 4 out of every 10 traffic fatalities in 2022. Despite this disproportionately high crash rate, research into the contextual perceptions and experiences that shape motorcyclists' safety behaviors remains limited. This qualitative study aims to explore riders' views on risk factors, safety practices, and strategies for improving road safety.

A total of 63 riders (ages 18 to 49), segmented by age, gender, and use type (work-related or private), participated in eight focus groups organized in two major Argentine cities: Buenos Aires and Córdoba. Thematic analysis of the discussions reveal that participants primarily attributed risk to reckless behavior by drivers of larger vehicles, inadequate infrastructure, and—for occupational riders—adverse work conditions and economic pressures. Participants acknowledged engaging in risky behaviors such as speeding and alcohol consumption, which were often justified by factors like crime avoidance, time constraints, or habit. Additional influences on safety included factors such as motorcycle type, maintenance, and rider experience. Of note, overconfidence—especially among younger riders—was identified as a contributing factor to crashes. Strong facilitators for safer practices included motivational factors like family responsibilities and personal crash experiences, as well as recognized external interventions such as enforcement, awareness campaigns, training, and licensing improvements. Findings underscore the urgent need for targeted, context-sensitive interventions that address both the structural environment and the behavioral determinants of motorcycle safety, particularly for the growing population of delivery riders.

摩托车手是全球最脆弱的道路使用者之一。在阿根廷，这一群体面临着严重的安全危机，在2022年的交通事故死亡人数中，每10人中就有4人是这一群体。尽管车祸率高得不成比例，但对影响摩托车手安全行为的背景认知和经验的研究仍然有限。本定性研究旨在探讨乘客对风险因素、安全措施和改善道路安全策略的看法。共有63名车手（年龄在18岁至49岁之间），按年龄、性别和使用类型（工作相关或私人）进行了细分，参加了在阿根廷两个主要城市（布宜诺斯艾利斯和Córdoba）组织的八个焦点小组。对讨论的专题分析表明，参与者主要将风险归因于大型车辆驾驶员的鲁莽行为、基础设施不足以及职业车手的恶劣工作条件和经济压力。参与者承认有超速驾驶和饮酒等危险行为，这些行为通常以避免犯罪、时间限制或习惯等因素为理由。影响安全性的其他因素包括摩托车类型、维修和骑手经验等因素。值得注意的是，过度自信——尤其是年轻车手——被认为是导致车祸的一个因素。促进安全操作的有力因素包括家庭责任和个人碰撞经历等激励因素，以及公认的外部干预措施，如执法、宣传活动、培训和许可改进。研究结果强调，迫切需要有针对性的、对环境敏感的干预措施，以解决摩托车安全的结构环境和行为决定因素，特别是对于不断增长的送货骑手。

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引用次数: 0

Parents' beliefs underlying modal choice in Kids' School trips in mid-sized Czech City 捷克中等城市儿童学校旅行模式选择背后的父母信念

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-27 DOI: 10.1016/j.trf.2026.103530

Hartmannová Lucie , Vorlíček Michal , Dygrýn Jan , Burian Jaroslav , Dostál Daniel , Šucha Matúš

This study examined individual, social, and environmental predictors of active school transport (AST) among eighth-grade students (ISCED 2) in Olomouc, a mid-sized Central European city. Data were collected from 141 parent–child dyads using one-week travel diaries, child and parent questionnaires, and standardized audits of the school surroundings. Children's trips to and from school were classified as active (walking or cycling) or non-active (car or public transport). Seven separate hierarchical logistic regression models were estimated, each representing one analytically distinct construct at the individual, social, or environmental level.

Home–school distance emerged as the most consistent environmental predictor of AST, with active commuting declining sharply beyond approximately 2 km. At the individual and social levels, children's habitual use of AT for extracurricular activities and parents' beliefs about AST—particularly evaluations related to safety, convenience, reliability, and enjoyment—were strongly associated with children's school travel mode. In contrast, perceived barriers reported by children and most objectively assessed characteristics of the school surroundings showed comparatively modest associations with AST.

These findings suggest that interventions aiming to promote AST may benefit from supporting habit formation outside school hours, strengthening parental beliefs about walking and cycling, and ensuring walkable distances between homes and schools. Methodologically, the study demonstrates the value of combining subjective and objective data sources to better understand school travel behavior and to inform context-sensitive strategies in mid-sized European cities.

本研究调查了中欧中等城市奥洛穆茨八年级学生（ISCED 2）积极上学交通（AST）的个人、社会和环境预测因素。通过一周的旅行日记、儿童和家长问卷调查以及对学校环境的标准化审计，从141对父母中收集数据。孩子们上下学的出行方式被分为活跃出行（步行或骑自行车）和非活跃出行（开车或乘坐公共交通工具）。估计了七个独立的分层逻辑回归模型，每个模型在个人、社会或环境水平上代表一个分析上不同的结构。家校距离是AST最一致的环境预测因子，活跃通勤在超过2公里时急剧下降。在个人和社会层面上，儿童在课外活动中习惯性使用交通工具和家长对交通工具的信念，特别是与安全、便利、可靠和享受相关的评价，与儿童的学校旅行模式密切相关。相比之下，儿童报告的感知障碍和最客观评估的学校环境特征显示出与AST的相对适度的关联。这些发现表明，旨在促进AST的干预措施可能受益于支持课外习惯的形成，加强父母对步行和骑自行车的信念，并确保家和学校之间的步行距离。在方法上，该研究证明了将主观和客观数据源结合起来的价值，可以更好地了解欧洲中型城市的学校旅行行为，并为环境敏感策略提供信息。

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引用次数: 0

Acceptability and perceived safety of automated vehicle driving styles in mixed-autonomy traffic: Insights from driver-AV interaction 混合自主交通中自动驾驶汽车驾驶风格的可接受性和感知安全性：来自驾驶员与自动驾驶汽车交互的见解

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-27 DOI: 10.1016/j.trf.2026.103532

Lin Zhou, Roger Woodman, Zhizhuo Su, Kurt Debattista

The seamless integration of automated vehicles (AVs) into mixed-autonomy traffic necessitates AV behaviour that human drivers can accurately anticipate and accept. While extensive research examines human reactions to AVs, a critical gap persists in understanding human drivers' explicit expectations of AV behaviour during complex road interactions. Addressing this gap, this study investigates UK drivers' expectations of AV tactical decision-making, exploring how right-of-way priority, conflict types, and AV driving style collectively influence behaviour acceptability and perceived safety. A total of 103 UK drivers participated in a simulation-based video survey depicting unsignalised conflicts, varying across three right-of-way conditions (AV priority, human-driven vehicle priority, unclear priority), two conflict types (crossing, weaving) and two driving styles (aggressive, defensive). Generalised linear mixed models (GLMM) were fitted to the 3 × 2 × 2 within-participants design, with demographic factors included as covariates. The results reveal clear context-dependent preferences: drivers expect AVs to assert priority when holding the right of way and exhibit defensive behaviour when human drivers have priority. In ambiguous situations, defensive driving is generally preferred, though aggressive behaviour is acceptable in low-speed crossing conflicts. Moreover, annual driving mileage influences these preferences in a potential non-linear way. These findings advocate for context-adaptive and human-centred AV planning algorithms that integrate formal rules with human expectations, moving beyond universal “always-yield” policies. This contributes to enhancing AV predictability, minimising conflicts, and fostering public acceptance in mixed-autonomy traffic.

自动驾驶汽车（AV）与混合自动驾驶交通的无缝集成需要人类驾驶员能够准确预测和接受的自动驾驶行为。虽然广泛的研究考察了人类对自动驾驶汽车的反应，但在理解人类驾驶员在复杂的道路互动中对自动驾驶汽车行为的明确期望方面，仍然存在一个关键的差距。为了解决这一差距，本研究调查了英国司机对自动驾驶战术决策的期望，探讨了优先路权、冲突类型和自动驾驶风格如何共同影响行为可接受性和感知安全性。共有103名英国司机参与了一项基于模拟的视频调查，描述了未发出信号的冲突，这些冲突在三种路权条件下（自动驾驶汽车优先、人类驾驶汽车优先、不明确优先）、两种冲突类型（穿越、交织）和两种驾驶风格（积极、防御）中发生变化。广义线性混合模型（GLMM）拟合为3 × 2 × 2参与者内设计，包括人口统计学因素作为协变量。结果显示了清晰的情境依赖偏好：驾驶员期望自动驾驶汽车在拥有路权时主张优先，而在人类驾驶员拥有优先权时表现出防御行为。在模棱两可的情况下，防御性驾驶通常是首选，尽管在低速交叉冲突中攻击性行为是可以接受的。此外，年行驶里程以潜在的非线性方式影响这些偏好。这些发现提倡采用情境自适应和以人为中心的自动驾驶规划算法，将正式规则与人类期望结合起来，超越普遍的“总是让步”政策。这有助于提高自动驾驶的可预测性，最大限度地减少冲突，并促进公众对混合自动驾驶交通的接受。

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引用次数: 0

A theoretically informed investigation of young drivers' intentions to engage in hand-held phone use for video and text messaging in vehicles with and without ADAS 一项关于年轻司机在有和没有ADAS的车辆中使用手持电话进行视频和短信的意图的理论调查

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-24 DOI: 10.1016/j.trf.2026.103536

Sherrie-Anne Kaye, David Rodwell, Ioni Lewis

Smartphones now commonly support video messaging. This study extends upon previous research by assessing young drivers' aged 17–25 years intentions to watch a video message while driving and how this behaviour compared to reading a text message while driving. Specifically, this study applied an extended Theory of Planned Behaviour (TPB), with additional constructs of moral norms, descriptive norms, and anticipated regret, to examine young drivers' intentions to use a smartphone to perform these two behaviours while driving. Further, the study assessed if self-reported intentions to perform these two behaviours differed when driving a vehicle with and without advanced driver assistance systems (ADAS) in an urban or regional environment. A total of 229 Australian young licensed drivers (M = 19.41 years, SD = 1.91 years, 78% female) completed a 20-min online questionnaire. Twenty-nine percent of participants reported sometimes to very often using a handheld smartphone to read a text message, while 4% of participants reported sometimes to very often using a handheld smartphone to watch a video message while driving. Two hierarchical multiple regressions assessed the extent to which the standard TPB constructs of attitudes, injunctive norms, and perceived behavioural control (PBC; Step 1), and moral norms, descriptive norms, and anticipated regret (Step 2) predicted intentions to use a handheld smartphone to (i) watch video messages and (ii) read text messages while driving. Attitudes, injunctive norms, PBC: efficacy, and moral norms were significant predictors of young drivers' intentions to both use a handheld smartphone to watch a video message and read a text message while driving. For reading a text message, descriptive norms was also a significant predictor of intentions. Paired t-tests showed that participants reported significantly higher intentions to use their smartphone to watch a video message and read a text message while driving when the vehicle featured lane keeping assist, autonomous emergency braking, and adaptive cruise control compared to when in the absence of ADAS. However, mean intentions ratings remained low across all conditions, suggesting that despite this significant result, self-reported intentions to use a smartphone while driving were low. These findings highlight that despite being an illegal behaviour, some young drivers still report using a handheld smartphone while driving. Therefore, more research is also required to examine the impact of vehicle technologies on driver distraction, particularly for the younger driving cohort.

智能手机现在普遍支持视频信息。这项研究扩展了之前的研究，评估了17-25岁的年轻司机在开车时观看视频信息的意愿，并将这种行为与开车时阅读短信的行为进行了比较。具体而言，本研究应用了扩展的计划行为理论（TPB），并添加了道德规范、描述性规范和预期后悔的额外结构，以检查年轻司机在驾驶时使用智能手机执行这两种行为的意图。此外，该研究还评估了在城市或地区环境中驾驶有和没有先进驾驶辅助系统（ADAS）的车辆时，自我报告的这两种行为的意图是否不同。共有229名澳大利亚年轻驾照司机（M = 19.41岁，SD = 1.91岁，78%为女性）完成了一份20分钟的在线问卷。29%的参与者报告有时经常使用手持智能手机阅读短信，而4%的参与者报告有时经常在开车时使用手持智能手机观看视频信息。两个层次多元回归评估了态度、禁令规范和感知行为控制（PBC；步骤1）以及道德规范、描述性规范和预期后悔（步骤2）的标准TPB结构对驾驶时使用手持智能手机(i)观看视频信息和（ii）阅读短信的意图的预测程度。态度、禁令规范、PBC：功效和道德规范是年轻司机在驾驶时使用手持智能手机观看视频信息和阅读短信意图的重要预测因素。对于阅读短信，描述性规范也是意图的重要预测指标。配对t检验显示，与没有ADAS的情况相比，当车辆配备车道保持辅助系统、自动紧急制动和自适应巡航控制系统时，参与者在驾驶时使用智能手机观看视频信息和阅读短信的意愿明显更高。然而，在所有情况下，平均意图评级仍然很低，这表明尽管有这个显著的结果，但驾驶时使用智能手机的自我报告意图很低。这些发现强调，尽管这是一种违法行为，但一些年轻司机仍然报告说在开车时使用手持智能手机。因此，还需要更多的研究来检验车辆技术对驾驶员分心的影响，特别是对年轻驾驶员群体的影响。

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引用次数: 0

Multimodal causal modeling of the driver takeover process: The mediating role of driver workload 司机接管过程的多模态因果模型：司机工作量的中介作用

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-24 DOI: 10.1016/j.trf.2026.103534

Shuxiang Lin , Hanwen Deng , Chaojie Fan , Honggang Wang , Kui Wang , Yong Peng

In partially automated driving systems, drivers must take over when the system reaches the limits of its operational design domain. Identifying the determinants of takeover performance is essential for improving safety. This study modeled the complete Stimulus-Organism-Response (S-O-R) chain using multimodal data from a simulator experiment with 30 licensed drivers. The takeover time budget (TOTB) and environmental complexity were manipulated, and relationships were estimated using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that task-demand factors influence performance through distinct internal workload pathways. A shorter TOTB worsened safety mainly by increasing self-reported workload, whereas its effect on cognitive load was not significant. Higher environmental complexity impaired performance primarily by increasing cognitive load and, to a lesser extent, self-reported workload. The model also supports a sequential path from cognitive load to self-reported workload, revealing a staged internal process. Mediation tests confirmed that workload transmitted the effects of task demand to collision risk and control abruptness. These findings suggest that safer automated systems should manage both cognitive demand and perceived time pressure to maintain stable driver control during takeover.

在部分自动驾驶系统中，当系统达到其操作设计域的极限时，驾驶员必须接管。确定收购绩效的决定因素对于提高安全性至关重要。本研究利用来自30名有执照司机的模拟器实验的多模态数据，对完整的刺激-机体-反应（S-O-R）链进行了建模。利用偏最小二乘结构方程模型（PLS-SEM）对接管时间预算（TOTB）和环境复杂性之间的关系进行了分析。结果表明，任务需求因素通过不同的内部工作负荷路径影响绩效。较短的TOTB主要通过增加自我报告的工作量来恶化安全性，而对认知负荷的影响不显著。较高的环境复杂性主要通过增加认知负荷以及在较小程度上自我报告的工作量来损害绩效。该模型还支持从认知负荷到自我报告负荷的顺序路径，揭示了一个分阶段的内部过程。中介检验证实，工作量将任务需求对碰撞风险和控制突然性的影响传递。这些发现表明，更安全的自动化系统应该同时管理认知需求和感知时间压力，以在接管过程中保持稳定的驾驶员控制。

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引用次数: 0

Drivers' mental models of advanced driver assistance systems: A systematic review of conceptualization, associated factors, and intervention strategies 先进驾驶辅助系统的驾驶员心理模型：概念化、相关因素和干预策略的系统回顾

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-22 DOI: 10.1016/j.trf.2026.103529

Jiayi Yi , Woojoo Kim , Dengbo He , Chunxi Huang

Drivers' mental models of advanced driver assistance systems (ADAS) are their internal representations of how ADAS operate, encompassing an understanding of system capabilities, limitations, and contextual constraints. Well-calibrated mental models of ADAS are essential for safe and effective use, especially in critical situations that approach the operational boundaries. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this systematic review synthesizes findings from 71 empirical studies to examine three primary aspects: the conceptualization and measurement of drivers' ADAS mental models; the factors associated with variations in drivers' ADAS mental models; and the interventions proposed to enhance drivers' system understanding. The review reveals considerable heterogeneity in both the terminology and methodologies employed across studies. While mental model accuracy consistently correlates with visual attention metrics, its relationship with vehicle control performance is more variable. Individual differences (e.g., demographics, subjective perceptions, prior ADAS exposure, and information sources) contribute to variation in mental models, although effects are sometimes inconsistent. Training strategies are broadly classified into three categories: expository, interactive, and hands-on. Each of these has demonstrated effectiveness under particular conditions, with integrated methods often proving more beneficial. Human-machine interfaces that support the dynamic updating of mental models are also reviewed. Findings underscore the need for clearer distinctions between general and applied mental models to improve conceptual clarity and methodological comparability. They also highlight the importance of longitudinal research in evaluating the durability of training effects. A further need is identified for standardized frameworks in the design of experimental scenarios and outcome assessments.

驾驶员对高级驾驶辅助系统（ADAS）的心理模型是他们对ADAS如何运行的内部表征，包括对系统功能、限制和上下文约束的理解。校准良好的ADAS心理模型对于安全有效地使用至关重要，特别是在接近操作边界的关键情况下。根据系统评价和荟萃分析的首选报告项目（PRISMA）指南，本系统综述综合了71项实证研究的结果，研究了三个主要方面：驾驶员ADAS心理模型的概念化和测量；驾驶员ADAS心理模型变化的相关因素；并提出了提高驾驶员系统认知的干预措施。该综述揭示了各研究在术语和方法上的相当大的异质性。虽然心理模型准确性与视觉注意指标一致相关，但其与车辆控制性能的关系则更加多变。个体差异（例如，人口统计、主观感知、先前ADAS暴露和信息来源）导致心理模型的变化，尽管影响有时是不一致的。培训策略大致分为三类：说明性、互动性和实践性。每一种方法都在特定条件下证明了有效性，综合方法往往证明更有益。本文还对支持心智模型动态更新的人机界面进行了综述。研究结果强调需要更清楚地区分一般心智模型和应用心智模型，以提高概念清晰度和方法可比性。他们还强调了纵向研究在评估训练效果持久性方面的重要性。进一步确定在设计实验情景和结果评估时需要标准化框架。

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引用次数: 0

Analyzing drivers visual attention towards intersection conflict warning system: A study using driving simulator and eye tracking system 交叉口冲突预警系统下驾驶员视觉注意分析——基于驾驶模拟器和眼动追踪系统的研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-20 DOI: 10.1016/j.trf.2026.103514

Yashasvi Rachakonda , Digvijay S. Pawar

Unsignalized intersections are considered one of the most hazardous road locations, where drivers must carefully process visual information to make safe decisions, as improper attention allocation or lack of information on approaching traffic can lead to crashes. Intersection Conflict Warning System (ICWS) has been identified as a potential solution, however its influence on drivers' visual performance remains unexplored. This study aims to investigate the effect of ICWS on drivers' visual performance at unsignalized intersections using a driving simulator and eye tracking system. Forty-six licensed drivers participated in this study, and drivers eye movement behaviour towards ICWS was analyzed under various warning and intersection visibility conditions. Additionally, the effect of education about ICWS was also examined. Experimental results showed that at the restricted-view intersections, drivers had 46% longer fixation durations and 34% more fixations on warning signboards compared to clear-view intersections. Under ICWS activated conditions, drivers exhibited significantly longer fixation duration, and a higher proportion (72%) reacted after gazing at the signboard compared to the non-activated ICWS conditions (39%). Furthermore, middle aged drivers demonstrated a shorter time to first fixation on the signboard than younger drivers under ICWS activated conditions. The findings highlight that ICWS enables drivers to notice warning signboards promptly, initiate earlier visual searches for conflicting vehicles, and respond more quickly to potential conflicts, supporting its application as an effective countermeasure for enhancing safety at unsignalized intersections.

没有信号的十字路口被认为是最危险的道路位置之一，司机必须仔细处理视觉信息以做出安全的决定，因为不适当的注意力分配或缺乏对接近车辆的信息可能导致撞车。交叉口冲突预警系统（ICWS）已被确定为一种潜在的解决方案，但其对驾驶员视觉性能的影响仍未被探索。本研究旨在利用驾驶模拟器和眼动追踪系统，探讨无信号交叉口ICWS对驾驶员视觉表现的影响。本研究对46名持牌驾驶员进行了研究，分析了不同警告和交叉口能见度条件下驾驶员对ICWS的眼动行为。此外，我们还研究了ICWS教育的效果。实验结果表明，在限制视野交叉路口，驾驶员对警告标志的注视时间比开阔视野交叉路口长46%，对警告标志的注视时间比开阔视野交叉路口长34%。与未激活ICWS条件下的39%相比，ICWS激活条件下驾驶员注视广告牌的时间明显更长，且注视后反应的比例（72%）更高。此外，在ICWS激活条件下，中年司机比年轻司机首次固定在标志牌上的时间更短。研究结果强调，ICWS使驾驶员能够迅速注意到警告标志，对冲突车辆进行更早的视觉搜索，并对潜在冲突做出更快速的反应，支持其作为提高无信号交叉口安全性的有效对策的应用。

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引用次数: 0

Are you willing to share your charging piles of electric vehicles? A case study in Shanghai using a modified UTAUT framework 你愿意分享你的电动汽车充电桩吗？使用改进的UTAUT框架在上海的案例研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-20 DOI: 10.1016/j.trf.2026.103527

Xiaofeng Pan , Ling Jin

The development of electric vehicle (EV) still suffers from the lack of sufficient charging facilities. Therefore, the idea of private charging pile sharing (PCPS) of EVs is proposed. To encourage people to participate in such projects, this paper aims to identify the factors influencing people's willingness of sharing their private charging piles using a modified UTAUT modeling framework, where a key modification lies in re-conceptualizing Facilitating Conditions as a foundational construct that shapes other constructs. A case study was carried out in Shanghai, China, in which 361 valid observations were collected and both single-group and multiple-group analyses were conducted. The findings are summarized as follows. First, the hypotheses proposed in the modified UTAUT framework are generally supported. Second, among the considered constructs, Facilitation Conditions has the largest total effect on behavioral intention, although this effect is entirely indirect. The second largest effect comes from Social Influence, which is also the strongest direct determinant. Conversely, the effect of Effort Expectancy is insignificant. Third, there are heterogeneous effects across different socio-demographic groups. Specifically, females' intention is more strongly driven by Performance Expectancy, whereas males' intention is solely affected by Social Influence. Charging frequency also moderates the formation of Performance Expectancy. Based on these conclusions, tailored policy implications were proposed for different stakeholders and user groups.

电动汽车的发展仍然受到充电设施不足的困扰。为此，提出了电动汽车私人充电桩共享（ppps）的概念。为了鼓励人们参与此类项目，本文旨在通过修改后的UTAUT建模框架来确定影响人们共享私人充电桩意愿的因素，其中的关键修改在于将便利条件重新定义为塑造其他构式的基础构式。本研究以中国上海为例，收集了361个有效观察值，并进行了单组和多组分析。研究结果总结如下。首先，修改后的UTAUT框架中提出的假设普遍得到支持。第二，在所考虑的构念中，促进条件对行为意向的总影响最大，尽管这种影响完全是间接的。第二大影响来自社会影响，这也是最强的直接决定因素。相反，努力预期的影响是微不足道的。第三，在不同的社会人口群体中存在异质效应。具体而言，女性的意愿更受绩效预期的驱动，而男性的意愿仅受社会影响的影响。充电频率也会调节性能预期的形成。基于这些结论，针对不同的利益相关者和用户群体提出了量身定制的政策含义。

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引用次数: 0

Prioritizing at-risk bus drivers: a safety-constrained burnout severity classification model using information gain 优先考虑有风险的巴士司机：使用信息增益的安全约束的倦怠严重程度分类模型

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-20 DOI: 10.1016/j.trf.2026.103526

Chenglong Wu , Guojun Chen , Pengfei Gao , Shuyang Zhang , Ruoyun He , Haode Liu

Job burnout is a critical occupational hazard that compromises the safety of public transport systems. Prevailing classification methods, however, often fail to establish a reliable, monotonic relationship between burnout severity and safety performance. To address this, we developed a novel framework that incorporates a safety-performance constraint, which requires the proportion of violation-involved drivers to increase with burnout severity. We constructed an information gain-based optimization model to identify the optimal burnout severity classification under this constraint. The framework was validated on a dataset of 1461 bus drivers, demonstrating its effectiveness. The model stratified drivers into four distinct tiers based on MBI-GS scores: no burnout [0, 0.87], mild (0.87, 2.27], moderate (2.27, 4.53], and severe (4.53, 6.00]. A clear, monotonic risk gradient was observed, with the proportion of drivers committing safety violations increasing consistently from 38.97 % (no burnout) to 46.26 % (mild), 51.40 % (moderate), and 60.00 % (severe). Comparative analyses confirmed the superiority of the proposed framework over conventional methods (Weighting and Dimensional Criteria). The framework achieved stronger correlations of the classified burnout levels with underlying burnout scores (r = 0.947 vs. 0.909 and 0.899) and safety outcomes (r = 0.131 vs. 0.093 and 0.088), higher information gain (IG = 8.6 × 10⁻³ vs. 4.3 × 10⁻³ and 3.9 × 10⁻³), and superior cluster validity (DBI = 0.4884 vs. 0.5693 and 0.9344). This indicates that, beyond most faithfully representing the continuum of burnout severity captured by the raw scores, the framework also enables a more precise characterization of violation risk. By translating burnout severity into a four-tiered risk classification with empirically defined violation rates (38.97 % to 60.00 %), this work provides transit agencies with a precise tool for identifying at-risk drivers and implementing targeted interventions, ultimately enhancing road safety.

职业倦怠是危害公共交通系统安全的重要职业危害。然而，现行的分类方法往往不能建立可靠的，单调的关系之间的职业倦怠严重程度和安全性能。为了解决这个问题，我们开发了一个包含安全性能约束的新框架，该框架要求违规驾驶员的比例随着倦怠严重程度的增加而增加。在此约束下，我们构建了一个基于信息增益的优化模型来确定最优的职业倦怠严重程度分类。该框架在1461名公交车司机的数据集上进行了验证，证明了其有效性。该模型根据MBI-GS评分将驾驶员分为四个不同的等级：无倦怠[0,0.87]、轻度（0.87,2.27）、中度（2.27,4.53）和重度（4.53,6.00）。存在明显的单调风险梯度，驾驶员安全违规比例从38.97%（无职业倦怠）持续上升至46.26%（轻度）、51.40%（中度）和60.00 %（重度）。对比分析证实了所提出的框架优于传统方法（加权和尺寸标准）。该框架的分类倦怠水平与潜在倦怠得分（r = 0.947，分别为0.909和0.899）和安全结果（r = 0.131，分别为0.093和0.088）具有较强的相关性，具有较高的信息增益（IG = 8.6 × 10−3，分别为4.3 × 10−3和3.9 × 10−3），具有较高的聚类效度（DBI = 0.4884，分别为0.5693和0.9344）。这表明，除了最忠实地代表由原始分数捕获的倦怠严重程度的连续体之外，该框架还能够更精确地描述违规风险。通过将倦怠严重程度转化为具有经验定义的违规率（38.97%至60.00 %）的四级风险分类，本工作为交通运输机构提供了一种精确的工具，用于识别有风险的司机并实施有针对性的干预措施，最终提高道路安全。

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引用次数: 0

Personalizing ADAS through driver segmentation: A latent class and multistage Behavioral Modeling approach in China 基于驱动细分的ADAS个性化：中国潜在类别和多阶段行为建模方法

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-19 DOI: 10.1016/j.trf.2026.103523

Ziyu Chen, Guohua Liang, Yue Liu, Baojie Wang, Yixin Chen, Yuting Zhang

Understanding individual heterogeneity in preferences for advanced driver assistance systems (ADAS) is critical for improving user acceptance and personalization. To explore this heterogeneity, this study employs a person-centered behavioral framework integrating latent class analysis, multinomial logistic regression, multivariate analysis of covariance (MANCOVA), and within-segment regression modeling. Based on survey data from 581 licensed drivers in China, we identify five distinct user segments—Safety-Oriented Conservative, Risk-Averse Manualist, Adaptive Tech Explorer, Balanced Functionality Seeker, and Broadly Accepting Customizer—characterized by differences in ADAS feature preferences, attitudes toward control modes, and receptiveness to personalization. Segment membership is significantly associated with demographic characteristics, driving styles, and personality traits. The MANCOVA indicates class-level differences in personalization needs and price sensitivity, while within-class regressions reveal the psychological factors that shape these attitudes. Notably, traits such as agreeableness and neuroticism—along with risky driving tendencies—emerge as key differentiators among the segments. This multi-stage behavioral modeling approach advances traffic psychology by linking latent segmentation with intra-group explanatory modeling, thereby offering practical insights for personalized ADAS design, driver-centric human–machine interaction, and evidence-based policy formulation for heterogeneous driving populations.

了解对高级驾驶辅助系统（ADAS）偏好的个体异质性对于提高用户接受度和个性化至关重要。为了探索这种异质性，本研究采用了以人为中心的行为框架，整合了潜在类分析、多项逻辑回归、多变量协方差分析（MANCOVA）和段内回归模型。基于对中国581名持证司机的调查数据，我们确定了五个不同的用户群体——安全导向的保守型、风险规避型、自适应技术探索者、平衡功能探索者和广泛接受的定制型——其特征是ADAS功能偏好、对控制模式的态度以及对个性化的接受程度的差异。细分成员与人口特征、驾驶风格和人格特征显著相关。MANCOVA表明在个性化需求和价格敏感性方面的阶级水平差异，而阶级内回归揭示了塑造这些态度的心理因素。值得注意的是，亲和性和神经质等特征——以及冒险驾驶倾向——成为了这些细分市场之间的关键区别。这种多阶段行为建模方法通过将潜在细分与群体内解释建模联系起来，推进了交通心理学的发展，从而为个性化ADAS设计、以驾驶员为中心的人机交互以及针对异质驾驶人群的循证政策制定提供了实用见解。

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引用次数: 0