Transportation Research Part F-Traffic Psychology and Behaviour最新文献_第4页

Effects of odor types and concentration adjustment modes of olfactory stimulation on fatigue in young drivers 嗅觉刺激气味类型及浓度调节方式对青年驾驶员疲劳的影响

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-18 DOI: 10.1016/j.trf.2026.103528

Xinpo Ma , Xueqin Huang , Fei Li , Guang Chen , Zirui Xia , Rui Wang

This study investigated the effects of the odor type and concentration adjustment modes of olfactory stimulation on fatigue in young drivers. A multidimensional analysis was conducted using driving simulator data, the Karolinska Sleepiness Scale (KSS), and physiological indicators such as heart rate (HR) and HR variability. Under dynamic incremental concentrations, peppermint odor significantly reduced KSS fatigue scores and mean HR while elevating the root mean square of successive differences, indicating increased parasympathetic activity. Specifically, compared with the mild odor (lavender) under constant concentration, peppermint under dynamic incremental concentration most effectively alleviated fatigue, leading to a significant reduction of 18.7% in KSS scores, a 5.3% decrease in mean HR, and a 30.1% increase in root mean square of successive differences. Conversely, lavender odor at a constant concentration showed a certain degree of fatigue relief. Incremental concentrations countered the sensory adaptation and sustained driver fatigue reduction more effectively. These findings provide insight into the design of olfactory stimulation parameters for intelligent cockpits. Future research should prioritize road validation, analyze the heterogeneity of users' olfactory perceptions, and optimize dynamic concentration adjustment mechanisms. This study promoted the application and development of olfactory stimulation to reduce driver fatigue.

本研究探讨了嗅觉刺激的气味类型和浓度调节方式对年轻驾驶员疲劳的影响。采用驾驶模拟器数据、卡罗林斯卡嗜睡量表（KSS）以及心率（HR）和心率变异性等生理指标进行多维度分析。在动态增加浓度下，薄荷气味显著降低了KSS疲劳评分和平均HR，同时提高了连续差异的均方根，表明副交感神经活动增加。其中，与恒定浓度下的温和气味（薰衣草）相比，动态增加浓度下的薄荷最有效地缓解了疲劳，KSS评分显著降低18.7%，平均HR降低5.3%，连续差异的均方根增加30.1%。相反，恒定浓度的薰衣草气味显示出一定程度的疲劳缓解。增加浓度更有效地抵消了感官适应和持续的驾驶员疲劳减轻。这些发现为智能驾驶舱嗅觉刺激参数的设计提供了新的思路。未来的研究应优先考虑道路验证，分析用户嗅觉感知的异质性，优化动态浓度调节机制。本研究促进了嗅觉刺激在减轻驾驶员疲劳中的应用和发展。

{"title":"Effects of odor types and concentration adjustment modes of olfactory stimulation on fatigue in young drivers","authors":"Xinpo Ma , Xueqin Huang , Fei Li , Guang Chen , Zirui Xia , Rui Wang","doi":"10.1016/j.trf.2026.103528","DOIUrl":"10.1016/j.trf.2026.103528","url":null,"abstract":"<div><div>This study investigated the effects of the odor type and concentration adjustment modes of olfactory stimulation on fatigue in young drivers. A multidimensional analysis was conducted using driving simulator data, the Karolinska Sleepiness Scale (KSS), and physiological indicators such as heart rate (HR) and HR variability. Under dynamic incremental concentrations, peppermint odor significantly reduced KSS fatigue scores and mean HR while elevating the root mean square of successive differences, indicating increased parasympathetic activity. Specifically, compared with the mild odor (lavender) under constant concentration, peppermint under dynamic incremental concentration most effectively alleviated fatigue, leading to a significant reduction of 18.7% in KSS scores, a 5.3% decrease in mean HR, and a 30.1% increase in root mean square of successive differences. Conversely, lavender odor at a constant concentration showed a certain degree of fatigue relief. Incremental concentrations countered the sensory adaptation and sustained driver fatigue reduction more effectively. These findings provide insight into the design of olfactory stimulation parameters for intelligent cockpits. Future research should prioritize road validation, analyze the heterogeneity of users' olfactory perceptions, and optimize dynamic concentration adjustment mechanisms. This study promoted the application and development of olfactory stimulation to reduce driver fatigue.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103528"},"PeriodicalIF":4.4,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038215","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

Now or never: Eye tracking and response times reveal the dynamics of highway merging decisions 机不可失：眼动追踪和反应时间揭示了高速公路合并决策的动态

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-16 DOI: 10.1016/j.trf.2026.103522

Arkady Zgonnikov, Merijn van Niekerk, Yke Bauke Eisma, Joost de Winter

Merging onto a highway is a safety-critical task resulting in a large number of traffic accidents; fundamental research into merging behavior of human drivers can help reduce this toll. Two cognitive processes critical to merging, attention allocation and decision making, have been extensively studied in real-world and simulated driving scenarios. However, how these processes interact during highway merging remains poorly understood. While the relationship between attention and decision making has been widely examined in cognitive science, this work has largely relied on simple decision-making paradigms involving choices between static items on a computer screen, which limits the understanding of more dynamic and naturalistic decisions such as in driving. To address this gap, we investigated the relationship between attention and decision making in a simplified highway merging task. In a video-based experiment, participants (N=24) repeatedly made merging gap acceptance decisions based on the dynamic information about the distance and time-to-arrival to the end of the merging lane and the gap to the target-lane vehicle (available in the front view and the side mirror, respectively). Participants’ decisions, response times, and eye movements were recorded. We found that decisions to accept a gap were considerably faster than decisions to reject a gap. Decision outcomes and timing depended on the distance to and time-to-arrival of the target-lane vehicle, but also on the time pressure due to approaching the end of the merging lane. Most importantly, under high time pressure, a greater proportion of time spent looking at the side mirror was associated with a lower probability of accepting the gap. This finding indicates that differences in visual information sampling can be closely linked to decision outcomes when time budgets are constrained. Our results provide initial empirical insights relevant for future cognitive modeling of the interplay between decision making and attention during highway merging. This work can inform early-stage exploration of driver monitoring and support systems for partially automated driving.

高速公路归并是一项安全关键任务，导致大量交通事故的发生；对人类驾驶员行为融合的基础研究可以帮助减少这种损失。对合并至关重要的两个认知过程——注意力分配和决策，已经在现实世界和模拟驾驶场景中得到了广泛的研究。然而，在高速公路合并过程中，这些过程如何相互作用仍然知之甚少。虽然注意力和决策之间的关系在认知科学中得到了广泛的研究，但这项工作在很大程度上依赖于简单的决策范例，包括在计算机屏幕上的静态项目之间做出选择，这限制了对更多动态和自然决策（如驾驶）的理解。为了解决这一问题，我们研究了一个简化的高速公路合并任务中注意力和决策之间的关系。在基于视频的实验中，参与者（N=24）根据与合并车道终点的距离和到达时间以及与目标车道车辆的间隙（分别在前视镜和侧视镜中获得）的动态信息，反复做出合并间隙接受决策。参与者的决定、反应时间和眼球运动都被记录下来。我们发现，接受差距的决定比拒绝差距的决定要快得多。决策结果和时间取决于目标车道车辆的距离和到达时间，但也取决于接近合并车道终点的时间压力。最重要的是，在高时间压力下，花在看后视镜上的时间越多，接受间隔的可能性就越低。这一发现表明，当时间预算有限时，视觉信息采样的差异可能与决策结果密切相关。我们的研究结果为未来高速公路合并过程中决策与注意之间相互作用的认知建模提供了初步的经验见解。这项工作可以为部分自动驾驶的驾驶员监控和支持系统的早期探索提供信息。

{"title":"Now or never: Eye tracking and response times reveal the dynamics of highway merging decisions","authors":"Arkady Zgonnikov, Merijn van Niekerk, Yke Bauke Eisma, Joost de Winter","doi":"10.1016/j.trf.2026.103522","DOIUrl":"10.1016/j.trf.2026.103522","url":null,"abstract":"<div><div>Merging onto a highway is a safety-critical task resulting in a large number of traffic accidents; fundamental research into merging behavior of human drivers can help reduce this toll. Two cognitive processes critical to merging, attention allocation and decision making, have been extensively studied in real-world and simulated driving scenarios. However, how these processes interact during highway merging remains poorly understood. While the relationship between attention and decision making has been widely examined in cognitive science, this work has largely relied on simple decision-making paradigms involving choices between static items on a computer screen, which limits the understanding of more dynamic and naturalistic decisions such as in driving. To address this gap, we investigated the relationship between attention and decision making in a simplified highway merging task. In a video-based experiment, participants (N=24) repeatedly made merging gap acceptance decisions based on the dynamic information about the distance and time-to-arrival to the end of the merging lane and the gap to the target-lane vehicle (available in the front view and the side mirror, respectively). Participants’ decisions, response times, and eye movements were recorded. We found that decisions to accept a gap were considerably faster than decisions to reject a gap. Decision outcomes and timing depended on the distance to and time-to-arrival of the target-lane vehicle, but also on the time pressure due to approaching the end of the merging lane. Most importantly, under high time pressure, a greater proportion of time spent looking at the side mirror was associated with a lower probability of accepting the gap. This finding indicates that differences in visual information sampling can be closely linked to decision outcomes when time budgets are constrained. Our results provide initial empirical insights relevant for future cognitive modeling of the interplay between decision making and attention during highway merging. This work can inform early-stage exploration of driver monitoring and support systems for partially automated driving.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103522"},"PeriodicalIF":4.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978299","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

Modelling the impact of Bikeability cycle training on the number of people killed or seriously injured on UK roads 模拟骑自行车训练对英国道路上死亡或重伤人数的影响

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-14 DOI: 10.1016/j.trf.2026.103506

Daniel T. Bishop , Nathan Harpham , Rosa Shirm , Ilaria Marino , Lynne Smith , George Beard

Introduction

Road traffic collisions and the number of people killed or seriously injured (KSIs) are shaped by multiple factors. However, the role of cycle training in influencing KSIs has received little attention, despite Bikeability – a UK government-funded cycle training programme – having been delivered to millions of schoolchildren since 2007. This study aimed to examine whether higher levels of Bikeability training are associated with reductions in cyclist-involved KSIs across English local authorities.

Methods

Poisson and Negative Binomial models were applied to publicly available local authority-level data, controlling for population size, cycling prevalence, and geographic variation. Overall KSI rates and cyclist-involved KSI rates were analysed over a ten-year period across 112 local authorities in England.

Findings

The exploratory analysis identified a weak but statistically significant negative association between Bikeability Level 2 training delivery and cyclist-involved KSI rates. Specifically, higher levels of Bikeability Level 2 training were associated with lower KSI rates. In contrast, greater traffic volumes and higher deprivation levels were linked to increased KSI rates.

Conclusions

Bikeability Level 2 training may represent one of several factors that contribute to improved cyclist safety on roads. Nonetheless, further research is needed to strengthen this evidence base, ideally through studies that can establish causal relationships.

道路交通碰撞和死亡或重伤人数受多种因素影响。然而，自行车训练在影响ksi方面的作用很少受到关注，尽管自2007年以来，英国政府资助的自行车训练项目Bikeability已经向数百万学童提供了这项服务。本研究旨在研究英国地方当局更高水平的骑自行车训练是否与骑自行车者相关的ksi减少有关。方法采用spoisson和负二项模型对公开的地方政府数据进行分析，控制人口规模、骑行流行率和地理差异。总体KSI率和骑自行车者的KSI率在英格兰112个地方当局的十年期间进行了分析。探索性分析发现，在可骑行性2级培训交付与骑自行车者KSI率之间存在微弱但统计学上显著的负相关。具体来说，高水平的骑行能力2级训练与较低的KSI率相关。相比之下，更大的交通量和更高的剥夺水平与KSI率的增加有关。结论：可骑行性2级培训可能是提高骑自行车者道路安全的几个因素之一。尽管如此，需要进一步的研究来加强这一证据基础，最好是通过能够建立因果关系的研究。

{"title":"Modelling the impact of Bikeability cycle training on the number of people killed or seriously injured on UK roads","authors":"Daniel T. Bishop , Nathan Harpham , Rosa Shirm , Ilaria Marino , Lynne Smith , George Beard","doi":"10.1016/j.trf.2026.103506","DOIUrl":"10.1016/j.trf.2026.103506","url":null,"abstract":"<div><h3>Introduction</h3><div>Road traffic collisions and the number of people killed or seriously injured (KSIs) are shaped by multiple factors. However, the role of cycle training in influencing KSIs has received little attention, despite Bikeability – a UK government-funded cycle training programme – having been delivered to millions of schoolchildren since 2007. This study aimed to examine whether higher levels of Bikeability training are associated with reductions in cyclist-involved KSIs across English local authorities.</div></div><div><h3>Methods</h3><div>Poisson and Negative Binomial models were applied to publicly available local authority-level data, controlling for population size, cycling prevalence, and geographic variation. Overall KSI rates and cyclist-involved KSI rates were analysed over a ten-year period across 112 local authorities in England.</div></div><div><h3>Findings</h3><div>The exploratory analysis identified a weak but statistically significant negative association between Bikeability Level 2 training delivery and cyclist-involved KSI rates. Specifically, higher levels of Bikeability Level 2 training were associated with lower KSI rates. In contrast, greater traffic volumes and higher deprivation levels were linked to increased KSI rates.</div></div><div><h3>Conclusions</h3><div>Bikeability Level 2 training may represent one of several factors that contribute to improved cyclist safety on roads. Nonetheless, further research is needed to strengthen this evidence base, ideally through studies that can establish causal relationships.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103506"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978288","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

From messages to movements: how emotional reactions to message frames activate consumption goals to shape students' public transport usage intention 从信息到行动：对信息框架的情绪反应如何激活消费目标，从而塑造学生的公共交通使用意愿

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-14 DOI: 10.1016/j.trf.2026.103521

Hoang Phuong Nhi Do , Minh Phuc Nguyen , Cam Anh Thi Pham

Promoting public transport use among students is crucial for fostering sustainable urban mobility, yet public transport remains underutilized in many cities. This research investigates how message framing influences students' intentions to use public transport through the activation of consumption goals by emotional reactions. Furthermore, by focusing on Hanoi – a Global South megacity undergoing a public transport transformation - it enriches the current literature, which predominantly centers on developed countries. A survey of 611 students explored general school commuting behaviors, followed by a 2 × 2 factorial experiment with 245 participants to examine the independent and combined effects of gain/loss and individual/social frames on public transport usage intention. Results showed that gain frames were slightly better than loss frames, and social references outperformed individual remarks. The effects were congruent, making gain-framed, social-referencing messages the most effective in enhancing students' intention. Additionally, emotional reactions to these frames activated consumption goals, increasing students' behavioral intention. The activation was contextual, as social frames led to higher baseline levels of consumption goals yet less reliance on affective responses. These findings highlight the importance of public communication strategies that emphasize collective benefits and evoke emotional engagement to promote sustainable commuting choices.

促进学生使用公共交通对于促进可持续的城市交通至关重要，但许多城市的公共交通仍未得到充分利用。本研究探讨了信息框架是如何通过情绪反应激活消费目标来影响学生使用公共交通工具的意向的。此外，通过关注河内-一个正在进行公共交通转型的全球南方大城市-它丰富了目前主要集中在发达国家的文献。通过对611名学生的调查，探讨了一般学校通勤行为，随后对245名参与者进行了2 × 2因子实验，研究了得失和个人/社会框架对公共交通使用意愿的独立和联合影响。结果表明，增益帧略好于损失帧，社会参考优于个人评论。效果是一致的，使得收益框架、社会参照信息在增强学生意向方面最有效。此外，对这些框架的情绪反应激活了消费目标，增加了学生的行为意向。这种激活是情境性的，因为社会框架导致更高的消费目标基线水平，但对情感反应的依赖却更少。这些发现强调了公共沟通策略的重要性，强调集体利益，唤起情感参与，以促进可持续的通勤选择。

{"title":"From messages to movements: how emotional reactions to message frames activate consumption goals to shape students' public transport usage intention","authors":"Hoang Phuong Nhi Do , Minh Phuc Nguyen , Cam Anh Thi Pham","doi":"10.1016/j.trf.2026.103521","DOIUrl":"10.1016/j.trf.2026.103521","url":null,"abstract":"<div><div>Promoting public transport use among students is crucial for fostering sustainable urban mobility, yet public transport remains underutilized in many cities. This research investigates how message framing influences students' intentions to use public transport through the activation of consumption goals by emotional reactions. Furthermore, by focusing on Hanoi – a Global South megacity undergoing a public transport transformation - it enriches the current literature, which predominantly centers on developed countries. A survey of 611 students explored general school commuting behaviors, followed by a 2 × 2 factorial experiment with 245 participants to examine the independent and combined effects of gain/loss and individual/social frames on public transport usage intention. Results showed that gain frames were slightly better than loss frames, and social references outperformed individual remarks. The effects were congruent, making gain-framed, social-referencing messages the most effective in enhancing students' intention. Additionally, emotional reactions to these frames activated consumption goals, increasing students' behavioral intention. The activation was contextual, as social frames led to higher baseline levels of consumption goals yet less reliance on affective responses. These findings highlight the importance of public communication strategies that emphasize collective benefits and evoke emotional engagement to promote sustainable commuting choices.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103521"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978287","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

Predicting driver retention in ride-hailing platforms: an empirical study of socio-demographic and behavioral influences 预测网约车平台的司机留存：社会人口统计学和行为影响的实证研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-13 DOI: 10.1016/j.trf.2026.103513

Sourav Shome, Md Tawfiq Sarwar, Sourav Sarker, Chandra Shekhor Mondal

The rapid growth of ride-hailing services has transformed urban mobility in Dhaka, offering flexible transportation alternatives while creating new employment opportunities for drivers. However, the sustainability of this employment model remains uncertain, as evidenced by the recent closures of popular ride-hailing platforms like Shohoz Ride, which struggled to maintain operations despite early success. This study aims to investigate the factors that influence drivers' decisions to remain in the ride-hailing sector in Dhaka. Using ordered logistic regression analysis, this research examines the role of socio-economic, demographic, and built environmental variables—including education level, marital status, years of experience, vehicle ownership, comfort with road conditions, the impact of traffic congestion and waiting time – on driver retention. The findings reveal that drivers with higher education, urban backgrounds, and personal vehicles are less likely to stay in the industry, as they often have access to more stable and lucrative job opportunities. In contrast, drivers with more experience and rental vehicles, as well as who are comfortable navigating Dhaka's traffic conditions, exhibit a higher likelihood of continuing in the sector. Furthermore, the study highlights the significant impact of Dhaka's severe traffic congestion, which reduces the number of trips drivers can complete and adversely affects their earnings and job satisfaction. Based on these findings, the study recommends policy interventions such as improving road infrastructure, developing waiting zones, providing incentives for experienced and rental vehicle drivers, and offering greater flexibility in ride-hailing models. By addressing these challenges, policymakers and ride-hailing companies can improve driver retention, promote industry sustainability, and contribute to the long-term growth of Dhaka's ride-hailing sector.

网约车服务的快速增长改变了达卡的城市交通，提供了灵活的交通选择，同时为司机创造了新的就业机会。然而，这种就业模式的可持续性仍然不确定，最近一些受欢迎的叫车平台（如Shohoz Ride）的关闭证明了这一点，尽管早期取得了成功，但这些平台仍在努力维持运营。本研究旨在调查影响达卡司机决定留在网约车行业的因素。运用有序逻辑回归分析，本研究考察了社会经济、人口统计和构建的环境变量（包括教育水平、婚姻状况、经验年限、车辆拥有量、对路况的舒适度、交通拥堵和等待时间的影响）对驾驶员留存率的作用。调查结果显示，受过高等教育、城市背景和拥有私家车的司机不太可能留在这个行业，因为他们通常可以获得更稳定、更赚钱的工作机会。相比之下，拥有更多经验和租赁车辆的司机，以及能够自如驾驭达卡的交通状况的司机，更有可能继续从事该行业。此外，该研究强调了达卡严重的交通拥堵的重大影响，这减少了司机可以完成的行程数量，并对他们的收入和工作满意度产生了不利影响。基于这些发现，该研究建议采取政策干预措施，如改善道路基础设施、开发等候区、为有经验的司机和租赁车辆司机提供激励，以及在叫车模式中提供更大的灵活性。通过应对这些挑战，政策制定者和网约车公司可以提高司机的保留率，促进行业的可持续性，并为达卡网约车行业的长期增长做出贡献。

{"title":"Predicting driver retention in ride-hailing platforms: an empirical study of socio-demographic and behavioral influences","authors":"Sourav Shome, Md Tawfiq Sarwar, Sourav Sarker, Chandra Shekhor Mondal","doi":"10.1016/j.trf.2026.103513","DOIUrl":"10.1016/j.trf.2026.103513","url":null,"abstract":"<div><div>The rapid growth of ride-hailing services has transformed urban mobility in Dhaka, offering flexible transportation alternatives while creating new employment opportunities for drivers. However, the sustainability of this employment model remains uncertain, as evidenced by the recent closures of popular ride-hailing platforms like Shohoz Ride, which struggled to maintain operations despite early success. This study aims to investigate the factors that influence drivers' decisions to remain in the ride-hailing sector in Dhaka. Using ordered logistic regression analysis, this research examines the role of socio-economic, demographic, and built environmental variables—including education level, marital status, years of experience, vehicle ownership, comfort with road conditions, the impact of traffic congestion and waiting time – on driver retention. The findings reveal that drivers with higher education, urban backgrounds, and personal vehicles are less likely to stay in the industry, as they often have access to more stable and lucrative job opportunities. In contrast, drivers with more experience and rental vehicles, as well as who are comfortable navigating Dhaka's traffic conditions, exhibit a higher likelihood of continuing in the sector. Furthermore, the study highlights the significant impact of Dhaka's severe traffic congestion, which reduces the number of trips drivers can complete and adversely affects their earnings and job satisfaction. Based on these findings, the study recommends policy interventions such as improving road infrastructure, developing waiting zones, providing incentives for experienced and rental vehicle drivers, and offering greater flexibility in ride-hailing models. By addressing these challenges, policymakers and ride-hailing companies can improve driver retention, promote industry sustainability, and contribute to the long-term growth of Dhaka's ride-hailing sector.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103513"},"PeriodicalIF":4.4,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978289","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

The central role of threatened experiences in determining pedestrians' perceived safety 威胁体验在决定行人感知安全中的核心作用

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-12 DOI: 10.1016/j.trf.2026.103511

Kyu Ri Kim, Jennifer Dill

Understanding pedestrians' perceived safety and attitudes toward safety is essential for developing proactive transportation safety plans, as perceptions and attitudes can influence subsequent behaviors. Since little research has thoroughly examined threatened experiences that may affect perceived safety, this study explores the relationship between pedestrians' threatened experiences—shaped by external factors and individual characteristics—and their perceived safety. Data are from ten study areas in Oregon, USA, including surveys of individuals (n = 551) about walking behaviors, experiences of feeling threatened, and individual characteristics, as well as data on factors related to pedestrian risk, particularly crashes, within a half-mile buffer around the respondents' addresses. We examined the relationships among these factors by estimating structural equation models. The most significant factor affecting perceived safety is pedestrians' threatened experiences due to motorists' behaviors, followed by threatened experiences due to facilities. Vehicle volume (proxy), along with the number of all types of crashes, age, gender, and walking frequency, influences perceived safety, fully mediated by threatened experiences. On the other hand, the size of parks and the presence of disabilities directly affect perceived safety, independent of prior experiences. These findings suggest that changing pedestrians' perceived safety may be challenging without addressing their experiences of being threatened by drivers' inappropriate or aggressive behaviors. Therefore, transportation planning and facility design that aim to reduce driving errors or encourage safer driving are essential for improving pedestrians' experiences, which in turn positively influence their perceived safety.

了解行人对安全的感知和对安全的态度对于制定主动交通安全计划至关重要，因为感知和态度会影响随后的行为。由于很少有研究深入研究可能影响感知安全的威胁体验，因此本研究探讨了行人受到外部因素和个人特征影响的威胁体验与他们感知安全之间的关系。数据来自美国俄勒冈州的十个研究区域，包括对个人（n = 551）的调查，包括步行行为、感觉受到威胁的经历和个人特征，以及与行人风险相关的因素的数据，特别是在受访者地址周围半英里缓冲区内的撞车事故。我们通过估计结构方程模型来检验这些因素之间的关系。影响感知安全最显著的因素是行人因驾驶人的行为而产生的威胁体验，其次是设施造成的威胁体验。车辆数量（代理）与所有类型碰撞的数量、年龄、性别和步行频率一起影响感知安全，完全由威胁经历介导。另一方面，公园的大小和残疾的存在直接影响感知安全，独立于先前的经验。这些发现表明，如果不解决行人受到司机不当或攻击性行为威胁的经历，改变行人对安全的感知可能是具有挑战性的。因此，旨在减少驾驶失误或鼓励更安全驾驶的交通规划和设施设计对于改善行人的体验至关重要，这反过来又对他们的感知安全产生积极影响。

{"title":"The central role of threatened experiences in determining pedestrians' perceived safety","authors":"Kyu Ri Kim, Jennifer Dill","doi":"10.1016/j.trf.2026.103511","DOIUrl":"10.1016/j.trf.2026.103511","url":null,"abstract":"<div><div>Understanding pedestrians' perceived safety and attitudes toward safety is essential for developing proactive transportation safety plans, as perceptions and attitudes can influence subsequent behaviors. Since little research has thoroughly examined threatened experiences that may affect perceived safety, this study explores the relationship between pedestrians' threatened experiences—shaped by external factors and individual characteristics—and their perceived safety. Data are from ten study areas in Oregon, USA, including surveys of individuals (<em>n</em> = 551) about walking behaviors, experiences of feeling threatened, and individual characteristics, as well as data on factors related to pedestrian risk, particularly crashes, within a half-mile buffer around the respondents' addresses. We examined the relationships among these factors by estimating structural equation models. The most significant factor affecting perceived safety is pedestrians' threatened experiences due to motorists' behaviors, followed by threatened experiences due to facilities. Vehicle volume (proxy), along with the number of all types of crashes, age, gender, and walking frequency, influences perceived safety, fully mediated by threatened experiences. On the other hand, the size of parks and the presence of disabilities directly affect perceived safety, independent of prior experiences. These findings suggest that changing pedestrians' perceived safety may be challenging without addressing their experiences of being threatened by drivers' inappropriate or aggressive behaviors. Therefore, transportation planning and facility design that aim to reduce driving errors or encourage safer driving are essential for improving pedestrians' experiences, which in turn positively influence their perceived safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103511"},"PeriodicalIF":4.4,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978290","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

A systematic review of gaming effects on driving related skills 游戏对驾驶相关技能影响的系统综述

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-07 DOI: 10.1016/j.trf.2026.103510

Rathna Bharathi Seetharaman , Peter M. Allen , Helen Keyes , David G. Pearson

Background

Road traffic accidents (RTAs) rank as the twelfth leading cause of death globally. While several factors contribute to RTAs, diminished visual and cognitive abilities remain an often-overlooked cause, negatively affecting driving performance. The “learning to learn” hypothesis suggests that playing games enhances general learning abilities and executive control mechanisms, enabling to transfer acquired-skills across real-world tasks. Considering this potential, this review investigates existing research on the connection between playing different types of games and driving behaviour.

Methods

Following PRISMA guidelines, a narrative synthesis was conducted with an effect size analysis using R. Studies were categorised based on game type, intervention duration, and outcome measures related to driving skills.

Results

The review analysed the findings from three interventional and nine observational studies. Effect size analysis of observational studies revealed a positive association between gaming experience on computerised driving tasks (g = 0.96, 95 % CI: 0.63, 1.28). Interventional studies suggested that driving racing games, when played for 8–10 h in total, can improve short-term performance in computerised and on-road driving tasks.

Conclusions

Available evidence suggests a significant positive association between gaming and computerised driving task outcomes. Furthermore, driving-specific gaming interventions have a significant effect on simulator tasks and on-road skills. However, to establish gaming interventions, further research is needed to analyse the effect of different gaming genres on different skills that are necessary for driving.

Application

Standardising interventional methodologies and driving variables are essential for providing reliable evidence. Developing evidence-based gaming interventions requires well-defined protocols and game selection criteria.

道路交通事故是全球第12大死亡原因。虽然有几个因素导致rta，但视觉和认知能力下降仍然是一个经常被忽视的原因，对驾驶性能产生负面影响。“学会学习”假说认为，玩游戏可以提高一般的学习能力和执行控制机制，从而使获得的技能能够在现实世界的任务中转移。考虑到这种可能性，本文将调查现有的关于玩不同类型游戏与驾驶行为之间联系的研究。方法遵循PRISMA指南，使用r进行叙事综合和效应量分析。研究根据游戏类型、干预持续时间和与驾驶技能相关的结果测量进行分类。结果本综述分析了3项干预性研究和9项观察性研究的结果。观察性研究的效应大小分析显示，游戏体验与电脑驾驶任务之间存在正相关关系（g = 0.96, 95% CI: 0.63, 1.28）。干预性研究表明，驾驶赛车游戏，如果总共玩8-10小时，可以提高电脑和公路驾驶任务的短期表现。现有证据表明，游戏与电脑驾驶任务结果之间存在显著的正相关。此外，驾驶游戏干预对模拟任务和道路技能有显著影响。然而，为了建立游戏干预，需要进一步研究分析不同游戏类型对驾驶所需的不同技能的影响。应用标准化的干预方法和驱动变量对于提供可靠的证据至关重要。开发基于证据的游戏干预需要明确的协议和游戏选择标准。

{"title":"A systematic review of gaming effects on driving related skills","authors":"Rathna Bharathi Seetharaman , Peter M. Allen , Helen Keyes , David G. Pearson","doi":"10.1016/j.trf.2026.103510","DOIUrl":"10.1016/j.trf.2026.103510","url":null,"abstract":"<div><h3>Background</h3><div>Road traffic accidents (RTAs) rank as the twelfth leading cause of death globally. While several factors contribute to RTAs, diminished visual and cognitive abilities remain an often-overlooked cause, negatively affecting driving performance. The “learning to learn” hypothesis suggests that playing games enhances general learning abilities and executive control mechanisms, enabling to transfer acquired-skills across real-world tasks. Considering this potential, this review investigates existing research on the connection between playing different types of games and driving behaviour.</div></div><div><h3>Methods</h3><div>Following PRISMA guidelines, a narrative synthesis was conducted with an effect size analysis using R. Studies were categorised based on game type, intervention duration, and outcome measures related to driving skills.</div></div><div><h3>Results</h3><div>The review analysed the findings from three interventional and nine observational studies. Effect size analysis of observational studies revealed a positive association between gaming experience on computerised driving tasks (g = 0.96, 95 % CI: 0.63, 1.28). Interventional studies suggested that driving racing games, when played for 8–10 h in total, can improve short-term performance in computerised and on-road driving tasks.</div></div><div><h3>Conclusions</h3><div>Available evidence suggests a significant positive association between gaming and computerised driving task outcomes. Furthermore, driving-specific gaming interventions have a significant effect on simulator tasks and on-road skills. However, to establish gaming interventions, further research is needed to analyse the effect of different gaming genres on different skills that are necessary for driving.</div></div><div><h3>Application</h3><div>Standardising interventional methodologies and driving variables are essential for providing reliable evidence. Developing evidence-based gaming interventions requires well-defined protocols and game selection criteria.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103510"},"PeriodicalIF":4.4,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927608","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

Research on the influencing factors of human Drivers' Trust in fully autonomous vehicles 全自动驾驶汽车中人类驾驶员信任的影响因素研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-07 DOI: 10.1016/j.trf.2026.103509

Yifeng Cai , Yongkang Chen , Runting Tang , Wu Song

Fully Autonomous Vehicles (FAVs), as a key driver of future mobility, have demonstrated the potential to reduce traffic accidents. However, the factors influencing human drivers' trust in FAVs remain unclear. A critical issue lies in identifying these factors, particularly how the design features of FAVs affect trust. This study proposes a conceptual model incorporating empathy, information transparency, subjective knowledge, social influence, perceived risk, self-efficacy, and trust. A survey of 175 respondents was conducted, and the results were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). By examining how perceived risk and self-efficacy contribute to human drivers' trust in FAVs and the interrelations among these constructs, this study offers deeper insights into the psychological underpinnings of trust in fully autonomous vehicles. The findings reveal that trust is significantly influenced by empathy, information transparency, social influence, subjective knowledge, perceived risk, and self-efficacy. However, the effect of information transparency on perceived risk is not significant, nor is there a significant linear relationship between empathy and self-efficacy. Overall, this study enhances our understanding of human drivers' trust in FAVs and provides valuable guidance for policymakers and technology developers to devise targeted optimization strategies aimed at effectively calibrating such trust.

全自动驾驶汽车（fav）作为未来出行的关键驱动因素，已经证明了减少交通事故的潜力。然而，影响人类驾驶员对自动驾驶汽车信任的因素仍不清楚。关键问题在于确定这些因素，特别是fav的设计特征如何影响信任。本研究提出一个包含共情、资讯透明度、主观知识、社会影响力、感知风险、自我效能和信任的概念模型。对175名受访者进行了调查，并使用偏最小二乘结构方程模型（PLS-SEM）对结果进行了分析。通过研究感知风险和自我效能如何影响人类驾驶员对自动驾驶汽车的信任，以及这些结构之间的相互关系，本研究为完全自动驾驶汽车信任的心理基础提供了更深入的见解。研究发现，共情、信息透明度、社会影响力、主观知识、感知风险和自我效能显著影响信任。然而，信息透明度对感知风险的影响不显著，同理心与自我效能感之间也不存在显著的线性关系。总体而言，本研究增强了我们对人类驾驶员对自动驾驶汽车的信任的理解，并为政策制定者和技术开发人员设计有针对性的优化策略提供了有价值的指导，旨在有效地校准这种信任。

{"title":"Research on the influencing factors of human Drivers' Trust in fully autonomous vehicles","authors":"Yifeng Cai , Yongkang Chen , Runting Tang , Wu Song","doi":"10.1016/j.trf.2026.103509","DOIUrl":"10.1016/j.trf.2026.103509","url":null,"abstract":"<div><div>Fully Autonomous Vehicles (FAVs), as a key driver of future mobility, have demonstrated the potential to reduce traffic accidents. However, the factors influencing human drivers' trust in FAVs remain unclear. A critical issue lies in identifying these factors, particularly how the design features of FAVs affect trust. This study proposes a conceptual model incorporating empathy, information transparency, subjective knowledge, social influence, perceived risk, self-efficacy, and trust. A survey of 175 respondents was conducted, and the results were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). By examining how perceived risk and self-efficacy contribute to human drivers' trust in FAVs and the interrelations among these constructs, this study offers deeper insights into the psychological underpinnings of trust in fully autonomous vehicles. The findings reveal that trust is significantly influenced by empathy, information transparency, social influence, subjective knowledge, perceived risk, and self-efficacy. However, the effect of information transparency on perceived risk is not significant, nor is there a significant linear relationship between empathy and self-efficacy. Overall, this study enhances our understanding of human drivers' trust in FAVs and provides valuable guidance for policymakers and technology developers to devise targeted optimization strategies aimed at effectively calibrating such trust.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103509"},"PeriodicalIF":4.4,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927607","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

Medical cannabis and driving in Australia: Results from the cannabis as medicine survey 2022–2023 (CAMS-22) 澳大利亚医用大麻和驾驶：大麻作为药物调查2022-2023 （CAMS-22）的结果

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-06 DOI: 10.1016/j.trf.2025.103466

Thomas R. Arkell , Llewellyn Mills , Jonathon C. Arnold , Anastasia Suraev , Sarah V. Abelev , Cilla Zhou , Nicholas Lintzeris , Iain S. McGregor

As access to medical cannabis continues to expand, understanding how patients perceive and respond to driving-related risks is important for road safety. We conducted a cross-sectional online survey of Australians using cannabis for a medical condition between December 2022 and April 2023. In addition to collecting demographic and clinical information, we assessed self-reported driving under the influence of cannabis (DUIC, defined here as ‘driving while high’), driving-related behaviours, and beliefs about impairment. Binary logistic regression was used to identify predictors of past-year DUIC. Of the 2,609 respondents who had driven in the past 12 months, 73 % (N = 1905) were accessing prescribed medicinal cannabis and 28.3 % (N = 750) reported DUIC. Several factors were associated with significantly increased odds of DUIC, including more frequent medical cannabis use, being male, using illicit and smoked cannabis, and believing that cannabis does not impair driving. The most common reason for DUIC was respondents thinking they were unimpaired (N = 518, 69.1 %). While 69 % (N = 1,790) reported that roadside drug testing deterred them from driving after cannabis use, 51 % (N = 1,340) also indicated it influenced their treatment decisions. These findings reaffirm trends identified in earlier CAMS studies and align with international literature demonstrating that perceived risk and enforcement significantly influence DUIC behaviour. Efforts to reduce DUIC among medical cannabis users need to account for the nuances of therapeutic use, noting that high-visibility enforcement strategies like roadside drug testing can reduce risky behaviours but may also restrict treatment choices. Policymakers must strike a balance between road safety and equitable access to medical cannabis.

随着获得医用大麻的机会不断扩大，了解患者如何感知和应对与驾驶有关的风险对道路安全至关重要。我们对2022年12月至2023年4月期间因医疗原因使用大麻的澳大利亚人进行了一项横断面在线调查。除了收集人口统计和临床信息外，我们还评估了自述的大麻影响下驾驶（DUIC，这里定义为“醉酒驾驶”）、驾驶相关行为和对损伤的信念。二元逻辑回归用于识别过去一年DUIC的预测因子。在过去12个月中驾车的2,609名受访者中，73% （N = 1905）获得了处方药用大麻，28.3% （N = 750）报告了DUIC。有几个因素与酒后驾车的几率显著增加有关，包括更频繁地使用医用大麻、男性、使用非法和吸烟大麻，以及认为大麻不会影响驾驶。DUIC最常见的原因是受访者认为自己没有受到损害（N = 518, 69.1%）。69% （N = 1790）的人报告说，路边药物测试阻止了他们在使用大麻后开车，51% （N = 1340）的人也表示，这影响了他们的治疗决定。这些发现重申了早期CAMS研究确定的趋势，并与国际文献一致，表明感知风险和执法显著影响DUIC行为。减少医用大麻使用者DUIC的努力需要考虑到治疗用途的细微差别，注意到路边药物检测等高能见度的执法战略可以减少危险行为，但也可能限制治疗选择。决策者必须在道路安全和公平获得医用大麻之间取得平衡。

{"title":"Medical cannabis and driving in Australia: Results from the cannabis as medicine survey 2022–2023 (CAMS-22)","authors":"Thomas R. Arkell , Llewellyn Mills , Jonathon C. Arnold , Anastasia Suraev , Sarah V. Abelev , Cilla Zhou , Nicholas Lintzeris , Iain S. McGregor","doi":"10.1016/j.trf.2025.103466","DOIUrl":"10.1016/j.trf.2025.103466","url":null,"abstract":"<div><div>As access to medical cannabis continues to expand, understanding how patients perceive and respond to driving-related risks is important for road safety. We conducted a cross-sectional online survey of Australians using cannabis for a medical condition between December 2022 and April 2023. In addition to collecting demographic and clinical information, we assessed self-reported driving under the influence of cannabis (DUIC, defined here as ‘driving while high’), driving-related behaviours, and beliefs about impairment. Binary logistic regression was used to identify predictors of past-year DUIC. Of the 2,609 respondents who had driven in the past 12 months, 73 % (N = 1905) were accessing prescribed medicinal cannabis and 28.3 % (N = 750) reported DUIC. Several factors were associated with significantly increased odds of DUIC, including more frequent medical cannabis use, being male, using illicit and smoked cannabis, and believing that cannabis does not impair driving. The most common reason for DUIC was respondents thinking they were unimpaired (N = 518, 69.1 %). While 69 % (N = 1,790) reported that roadside drug testing deterred them from driving after cannabis use, 51 % (N = 1,340) also indicated it influenced their treatment decisions. These findings reaffirm trends identified in earlier CAMS studies and align with international literature demonstrating that perceived risk and enforcement significantly influence DUIC behaviour. Efforts to reduce DUIC among medical cannabis users need to account for the nuances of therapeutic use, noting that high-visibility enforcement strategies like roadside drug testing can reduce risky behaviours but may also restrict treatment choices. Policymakers must strike a balance between road safety and equitable access to medical cannabis.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103466"},"PeriodicalIF":4.4,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927489","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

When driving becomes enjoyable: the role of hedonic motivation and interaction quality in the adoption of autonomous vehicles 当驾驶变得愉快：享乐动机和互动质量在采用自动驾驶汽车中的作用

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2026-01-06 DOI: 10.1016/j.trf.2026.103507

Dong Liu , Taotao Liu , Sangbum Son , Muwen Wang

As autonomous vehicle (AV) technologies continue to advance, users' adoption intentions have become a critical factor in promoting the societal diffusion and commercial success of AVs. This study integrates the Theory of Planned Behavior (TPB) with affective motivation theory to develop a comprehensive framework encompassing affect, interaction, cognition, and behavior. It systematically examines how hedonic motivation and perceived interaction quality influence the three core TPB components (attitude, subjective norm, and perceived behavioral control) and subsequently shape behavioral intention toward AV use. A video-based scenario experiment and a two-stage survey yielded 428 valid responses. Partial least squares structural equation modeling (PLS-SEM) was employed to test the hypothesized relationships and mediation effects. The results show that hedonic motivation significantly enhances perceived interaction quality. In turn, interaction quality positively affects user attitude and perceived behavioral control, with a marginal influence on subjective norm. The impact of hedonic motivation on behavioral intention is fully mediated through the sequential path of interaction quality and TPB-related cognitions. Multi-group analysis further reveals that both users' hedonic orientation and perceived interaction level significantly moderate the structural pathways. Theoretically, this research extends the emotional dimension of TPB by highlighting the mediating role of interaction quality in the adoption mechanism of AVs. Practically, the findings offer empirical support and actionable insights for the design of affect-aware human–machine interfaces (HMIs), optimization of user experience, and segmentation strategies based on affective preferences in intelligent vehicle systems.

随着自动驾驶汽车（AV）技术的不断进步，用户的采用意愿已成为推动自动驾驶汽车社会普及和商业成功的关键因素。本研究将计划行为理论与情感动机理论相结合，建立了一个涵盖情感、互动、认知和行为的综合框架。本研究系统地考察了享乐动机和感知互动质量如何影响三个核心TPB组成部分（态度、主观规范和感知行为控制），并随后形成AV使用的行为意向。基于视频的场景实验和两阶段调查共获得428份有效回复。采用偏最小二乘结构方程模型（PLS-SEM）对假设关系和中介效应进行检验。结果表明，享乐动机显著提高了感知互动质量。交互质量对用户态度和感知行为控制有正向影响，对主观规范影响不大。快乐动机对行为意向的影响完全通过互动质量和tbp相关认知的顺序路径介导。多群体分析进一步表明，用户的享乐取向和感知交互水平显著调节了结构通路。从理论上讲，本研究通过突出互动质量在自动驾驶汽车采用机制中的中介作用，拓展了TPB的情感维度。研究结果为智能汽车系统中情感感知人机界面（hmi）的设计、用户体验的优化以及基于情感偏好的细分策略提供了实证支持和可操作的见解。

{"title":"When driving becomes enjoyable: the role of hedonic motivation and interaction quality in the adoption of autonomous vehicles","authors":"Dong Liu , Taotao Liu , Sangbum Son , Muwen Wang","doi":"10.1016/j.trf.2026.103507","DOIUrl":"10.1016/j.trf.2026.103507","url":null,"abstract":"<div><div>As autonomous vehicle (AV) technologies continue to advance, users' adoption intentions have become a critical factor in promoting the societal diffusion and commercial success of AVs. This study integrates the Theory of Planned Behavior (TPB) with affective motivation theory to develop a comprehensive framework encompassing affect, interaction, cognition, and behavior. It systematically examines how hedonic motivation and perceived interaction quality influence the three core TPB components (attitude, subjective norm, and perceived behavioral control) and subsequently shape behavioral intention toward AV use. A video-based scenario experiment and a two-stage survey yielded 428 valid responses. Partial least squares structural equation modeling (PLS-SEM) was employed to test the hypothesized relationships and mediation effects. The results show that hedonic motivation significantly enhances perceived interaction quality. In turn, interaction quality positively affects user attitude and perceived behavioral control, with a marginal influence on subjective norm. The impact of hedonic motivation on behavioral intention is fully mediated through the sequential path of interaction quality and TPB-related cognitions. Multi-group analysis further reveals that both users' hedonic orientation and perceived interaction level significantly moderate the structural pathways. Theoretically, this research extends the emotional dimension of TPB by highlighting the mediating role of interaction quality in the adoption mechanism of AVs. Practically, the findings offer empirical support and actionable insights for the design of affect-aware human–machine interfaces (HMIs), optimization of user experience, and segmentation strategies based on affective preferences in intelligent vehicle systems.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103507"},"PeriodicalIF":4.4,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927606","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