Transportation Research Part F-Traffic Psychology and Behaviour最新文献

{"title":"Impact of the difficulty of the box task on its sensitivity when combined with a detection response task to assess secondary task demand while driving","authors":"Daniel Trommler ,&nbsp;Tina Morgenstern ,&nbsp;Ines Karl ,&nbsp;Frederik Naujoks ,&nbsp;Josef F. Krems ,&nbsp;Andreas Keinath","doi":"10.1016/j.trf.2025.06.028","DOIUrl":"10.1016/j.trf.2025.06.028","url":null,"abstract":"<div><div>Multimodal in-vehicle infotainment systems offer drivers a range of non-driving-related functions but can increase visual-manual and cognitive task demand, compromising road safety. Therefore, it is important to estimate the secondary task demand of these systems early in the development process. To do so, the Box Task combined with a Detection Response Task (BT + DRT) was developed as a straightforward laboratory method. The BT is used to quantify the visual-manual task demand, while the DRT is capable of assessing cognitive demand. However, previous studies showed that difficult cognitive secondary task demand led to a similar decrease in performance in the BT to that found in the easy visual-manual demand. Therefore, this study aimed to enhance the BT’s sensitivity to visual-manual demand and discriminability from cognitive demand by increasing the difficulty of the BT. Additionally, the effects of increased BT difficulty on DRT metrics, self-assessed mental workload and secondary task performance were examined. In total, <em>N</em> = 39 participants performed the BT + DRT with varying BT difficulty levels (easy, moderate and difficult), secondary task types (visual-manual vs. cognitive) and secondary task difficulty levels (easy vs. difficult). The results indicated that lateral variability at moderate and difficult BT levels was the BT metric with the largest and most consistent effect sizes for assessing visual-manual secondary task demand and to discriminate from performance impairments resulting from cognitive task demand. At both BT levels, the DRT is also capable of effectively assessing cognitive demand, either through response time or the number of omissions. For self-assessed workload, only slight increases in ratings were observed for higher BT difficulty levels. There were only minor changes in secondary task performance, such as slightly slower responses, during more difficult BT levels. Consequently, a higher BT difficulty than previously used is recommended for the BT + DRT paradigm.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 888-905"},"PeriodicalIF":3.5,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588816","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}

{"title":"Investigating simulator validity by using physiological and cognitive stress indicators","authors":"Marcin Czaban ,&nbsp;Chantal Himmels","doi":"10.1016/j.trf.2025.07.006","DOIUrl":"10.1016/j.trf.2025.07.006","url":null,"abstract":"<div><div>Driving simulators are indispensable tools in modern automotive research and development. However, the transferability of findings to real-world driving, and thus, the validity of simulator-based results, cannot be assumed without empirical validation.</div><div>In this study, we examined physiological (Galvanic Skin Response-based measures, Electrocardiogram-based measures, salivary cortisol) and cognitive (NASA Task Load Index, Short Stress State Questionnaire, single-item ratings) stress indicators by comparing a real-world driving circuit with seven distinct sections to a medium-fidelity driving simulator, applying a Bayesian analytical approach. The results present a mixed picture, with both absolute and relative validity observed for certain physiological and cognitive stress indicators. Overall, our findings suggest that stress responses in the simulator and real-world driving are comparable, although the simulator was subjectively perceived as more stressful.</div><div>These results provide valuable insights into the validity of simulators for stress research and underscore the need to consider individual differences, experimental conditions, and methodological approaches in future studies.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 831-851"},"PeriodicalIF":3.5,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571286","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}

{"title":"Improving road safety in rural areas: An examination of the traffic safety climate in rural Wales","authors":"Burcu Tekeş ,&nbsp;Charles Musselwhite ,&nbsp;Pınar Bıçaksız","doi":"10.1016/j.trf.2025.07.003","DOIUrl":"10.1016/j.trf.2025.07.003","url":null,"abstract":"<div><div>Although there is a body of research conducted on traffic safety and driver behaviors in the UK, studies on traffic safety climate, particularly in rural Wales, are limited. In this study, the effect of traffic safety climate in Wales on several driving-related characteristics was investigated and expected to find a difference between rural and urban Wales. The model investigated the moderator role of rural/urban areas on the relationship between traffic safety climate and driver behaviors, driver anger, anger expression, and driver risk. Using data from 346 participants, we found that drivers in rural areas perceive traffic as having more internal requirements, but also engage in more risk-taking, whereas drivers in urban areas score higher in aggressive violations and verbal aggressive expression. In the following steps, we found links between traffic safety climate and various driver-related outcomes, and this link differs across drivers living in rural and urban areas. These findings suggest the need for tailored strategies to address road safety in rural areas in Wales.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 864-872"},"PeriodicalIF":3.5,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571877","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}

{"title":"Driver dysfunctional impulsivity dominates over others in anger expression","authors":"Berfin Töre ,&nbsp;Bilgesu Kaçan-Bibican ,&nbsp;Türker Özkan","doi":"10.1016/j.trf.2025.06.026","DOIUrl":"10.1016/j.trf.2025.06.026","url":null,"abstract":"<div><div>The aim of this study is to examine whether driver impulsivity predicts aggressive driver behavior and to compare the predictive power of driver impulsivity and general impulsivity towards aggressive driver behavior. A total of 312 drivers, 113 women and 199 men, participated in the study and completed the Demographic Information Form, Driver Anger Expression Inventory, Barrat Impulsivity Scale-Short Form and Impulsive Driver Scale by way of an online link. The hierarchical regression analyses showed that driver dysfunctional impulsivity positively predicted physical anger expression, verbal anger expression and the use of a vehicle to express anger whereas it negatively predicted the adaptive anger expression. Driver functional impulsivity positively predicted physical anger expression, the use of a vehicle to express anger and the adaptive anger expression. The dominance analyses results show that driver dysfunctional impulsivity completely dominates all other driver impulsivity and general impulsivity dimensions for both adaptive and non-adaptive anger expression of drivers. The results of the study emphasize the importance of conceptually addressing impulsivity in future studies and the impact of the measurement tool to be used on the results.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 852-863"},"PeriodicalIF":3.5,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571287","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}

{"title":"Exploring driver decision-making in lane-changing: A human factors approach using AI and naturalistic data","authors":"Akshay Gupta ,&nbsp;Pushpa Choudhary ,&nbsp;Manoranjan Parida","doi":"10.1016/j.trf.2025.06.030","DOIUrl":"10.1016/j.trf.2025.06.030","url":null,"abstract":"<div><div>Anticipating lane-change patterns represents a crucial dimension within the intricate framework of lane-change decision-making, exerting a profound influence on the fluidity of traffic dynamics and the overarching spectrum of road safety. Previous studies have mostly focused on fixed sections of highways, missing the changing and complex traffic patterns that drivers experience throughout the entire highway journey. This study explores the behavioural dimensions of lane-changing by leveraging an innovative data collection approach using cost-effective 3D LiDAR technology integrated into an instrumented vehicle platform. This system enables real-time, high-resolution data capture under diverse driving conditions, including nighttime and low-visibility scenarios. The study introduces the Expressway Drive Instrumented Vehicle (EDIV) Dataset, which captures naturalistic driving behaviour from 60 drivers over approximately 8,100 km on Indian expressways. Beyond the mere prediction of drivers’ lane-changing events, the research delves deeper into the intricate composition of lane transitions, employing a sophisticated repertoire of Machine Learning (ML) methodologies. Notably, the Extreme Gradient Boosting (XGBoost) technique emerges as the preeminent contender, showcasing better efficacy in accordance with classification metrics. Culminating in the application of elucidatory Artificial Intelligence (AI) paradigms, such as SHapley Additive exPlanations (SHAP) values, to interpret the intricacies of XGBoost-derived insights into driving behaviour. By integrating human factors research with data-driven methodologies, this study contributes to the development of safer and more behavioural informed traffic systems in mixed traffic environments.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 794-820"},"PeriodicalIF":3.5,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570946","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}

{"title":"The impact of urban vs rural environments on driving mobility and safety in older age","authors":"Sol Morrissey ,&nbsp;Stephen Jeffs ,&nbsp;Rachel Gillings ,&nbsp;Mizanur Khondoker ,&nbsp;Mary Fisher-Morris ,&nbsp;Ed Manley ,&nbsp;Michael Hornberger","doi":"10.1016/j.trf.2025.07.005","DOIUrl":"10.1016/j.trf.2025.07.005","url":null,"abstract":"<div><div>Older rural drivers rely more on driving due to limited transportation options, but the impact of cognition on driving in urban versus rural settings is unclear. This study examined whether cognitive changes affect driving mobility and road safety differently across these populations. In a prospective cohort study, 969 older drivers completed driving behaviour and road traffic incident (RTI) history questionnaires, followed by cognitive testing, with a follow-up one year later. We find that older rural drivers have a greater driving mobility than older urban drivers and are less likely to reduce their driving mobility over time, as only urban residents with cognitive decline reduced their driving space. RTI incidence was higher in urban areas, with a stronger link between poor cognition and increased RTI risk in urban residents. This study suggests the interaction between cognitive changes and environmental setting on driving behaviour, providing insights for policy development on driving mobility and safety among older adults.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 821-830"},"PeriodicalIF":3.5,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570947","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}

{"title":"Predicting lane changes in real-world driving: analysing explicit, implicit and contextual cues on the motorway","authors":"Konstantin Felbel ,&nbsp;Maximilian Hentschel ,&nbsp;Katharina Simon ,&nbsp;André Dettmann ,&nbsp;Lewis L. Chuang ,&nbsp;Angelika C. Bullinger","doi":"10.1016/j.trf.2025.06.023","DOIUrl":"10.1016/j.trf.2025.06.023","url":null,"abstract":"<div><div>Communication of intention between drivers relies on explicit cues and implicit cues. While these cues have been extensively studied in urban environments, their application to motorway driving remains underexplored. This gap is particularly evident in lane change scenarios, where communication failures such as the failure to accurately predict an imminent lane change can result in significant safety risks. Furthermore, although contextual cues are theorised to play an important role, empirical studies of their influence are limited. Results of our research start to fill both gaps by investigating how drivers predict lane changes on motorways, considering explicit, implicit and contextual cues. We utilized a Naturalistic Driving Study (NDS) approach, wherein 30 participants documented 798 relevant lane change situations during their daily drives. Data was collected through smartphones equipped with a custom app for real-time voice and video recording. The results highlight that effective communication relies primarily on implicit cues, such as longitudinal and lateral vehicle motion and movement patterns, which drivers use to predict driving behaviour. Contextual cues, including dynamic cues such as vehicle spacing and static cues such as the wider traffic environment, play a secondary role in shaping drivers’ predictions. Interestingly, explicit cues were rarely used by drivers in their decision making, highlighting their limited role in communication in motorway scenarios. These results support the development of automated driving styles that emulate human-like behaviour which could lead to automated vehicles that are more intuitive and predictable for human drivers, both within the automated vehicle and in the surrounding traffic.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 780-793"},"PeriodicalIF":3.5,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557470","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}

{"title":"What factors could enhance post-crash anxiety and depression outcomes? A SEM-based retrospective study","authors":"Navid Nadimi ,&nbsp;Fariborz Mansourifar ,&nbsp;Abbas Sheykhfard ,&nbsp;Sergio A. Useche","doi":"10.1016/j.trf.2025.06.027","DOIUrl":"10.1016/j.trf.2025.06.027","url":null,"abstract":"<div><div>Traffic crashes are a leading cause of non-natural deaths and significant economic and healthcare burdens. Mental health issues and decreased life quality have been consistently linked to traffic crashes among surviving. Several studies reveal that anxiety and depression symptoms are common among these individuals. However, the specific individual factors modulating the development of these post-crash psychosocial outcomes, as well as their relative contributions, have been scarcely addressed in the literature. Thus, the primary objective of this study was to examine different factors’ effects on two key negative self-reported psychological outcomes (namely, anxiety and depression) following road crashes. The survey was conducted on 239 individuals who experienced substantial financial loss or non-fatal physical injuries after a crash. Among the full set of study variables comprised in the path model, crash severity has a positive and significant effect on post-crash anxiety severity scores. As for antecedent anxiety and depression values, these were significantly influenced by retrospectively-reported physical conditions and both pre-crash anxiety and depression scores. Moreover, both pre-crash depression scores and post-crash anxiety indexes stand out as significant predictors of post-crash depression indexes. This study suggests that traffic crashes have a significant effect on self-reported anxiety and depression-related outcomes. At a practical level, these outcomes underscore the need for increasing attention paid to post-crash mental health outcomes, given their considerably greater prevalence among crash survivors, as well as their possible comorbidity with further impairing behaviors or life quality impairments.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 741-757"},"PeriodicalIF":3.5,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534175","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}

{"title":"E-scooter safety: How attitudinal factors influence risky behavior among shared e-scooter riders","authors":"Sina Asgharpour ,&nbsp;Mohammadjavad Javadinasr ,&nbsp;Abolfazl (Kouros) Mohammadian ,&nbsp;Nazmul Arefin Khan ,&nbsp;Joshua Auld","doi":"10.1016/j.trf.2025.06.015","DOIUrl":"10.1016/j.trf.2025.06.015","url":null,"abstract":"<div><div>In recent years, e-scooter usage for short-distance trips has grown rapidly. This surge in e-scooter use, combined with the high exposure of e-scooter riders to accident risk, has sparked concerns regarding e-scooter safety. Despite some studies focusing on e-scooter safety, little is known about how attitudinal factors lead e-scooter riders to engage in risky riding behaviors. In this paper, we developed a survey-based empirical model to identify the attitudinal factors influencing engagement in risky behaviors among e-scooter users. We used survey data collected from 420 shared e-scooter users in Chicago in 2022. The survey showed that 47.7% of respondents had experienced at least one collision or fall-off while riding e-scooters. We employed the Partial Least Squares Structural Equation Model (PLS-SEM) to examine the relationships between latent attitudinal factors and risky behavior engagement. Moreover, we conducted Permutation Multi-group Analysis (PMGA) to assess the moderating effect of socio-demographic factors within the estimated model. The findings suggest that riders’ unsafe riding attitude and riding confidence are the most influential factors shaping their risky behavior engagement. In addition, accident experience, infrastructure suitability, perceived enjoyment, traffic risk perception, and operational risk perception are among the other significant predictors. Among socio-demographic factors, gender, age, education, and car use frequency significantly influence riders’ engagement in risky behaviors. The results highlight the importance of infrastructure suitability and accident experience in analyzing e-scooter users’ riding behavior. The developed model advances our understanding of factors contributing to e-scooter riders’ risky behavior engagement. The findings offer valuable insights for policymakers and e-scooter vendors aiming to mitigate e-scooter users’ accident risk. Specifically, we recommend three safety countermeasures: (1) safety training programs to encourage a safer attitude, (2) practice-based initiatives to enhance riding confidence, and (3) infrastructure improvements, especially the expansion of bike lanes.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 758-779"},"PeriodicalIF":3.5,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534176","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}

{"title":"Psychosocial predictors of active transport in Australia: Applying an extended theory of planned behaviour","authors":"Angela Melville Bickel,&nbsp;Cassandra Gauld","doi":"10.1016/j.trf.2025.05.022","DOIUrl":"10.1016/j.trf.2025.05.022","url":null,"abstract":"<div><div>Active transport (AT), which involves walking or cycling instead of using motorised transport (MT), is underused in Australia. Considering sedentary Australian lifestyles, and the negative impact MT emissions have on climate change, AT offers both health and environmental benefits. Evidence suggests that transport mode choice can be predicted by Theory of Planned Behaviour (TPB) constructs i.e., attitudes, subjective norms and perceived behavioural control (PBC). It is unknown, however, if the TPB extended with descriptive norms, habit and nature relatedness (NR) improves prediction of AT intention and use, and whether MT constructs (the alternate behaviour) are useful predictors. Two online surveys issued one-week apart, measured predictors and subsequent behaviours of adults living in Australia. Participants (<em>N</em> = 294) were aged 18 to 84 years (<em>M</em> = 40.8, <em>SD</em> = 16.0) and predominantly female (<em>n</em> = 199), with 56.5 % completing both surveys. Hierarchical multiple regressions indicated that the standard TPB constructs were significant predictors, explaining over 17 % of the variance in AT intention, after controlling for past behaviour and infrastructure sufficiency. An additional and significant 2.9 % to 3.8 % of AT intention variance was also explained by NR and AT habit. Regarding AT behaviour, AT intention and PBC significantly predicted AT use, accounting for over 46 % of the variance in behaviour. These predictors should therefore be considered when designing strategies to encourage AT uptake. Interventions targeting those higher in NR, or persuasive messaging focusing on subjective norms rather than descriptive norms, may be more effective at increasing Australian AT intentions and use.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 721-740"},"PeriodicalIF":3.5,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523051","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}