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

{"title":"Trust towards using autonomous taxis: Evidence from Germany","authors":"Wieland Müller ,&nbsp;Michael Leyer ,&nbsp;Marek Gaugel","doi":"10.1016/j.trf.2025.05.007","DOIUrl":"10.1016/j.trf.2025.05.007","url":null,"abstract":"<div><div>The emergence of autonomous driving technologies, particularly autonomous taxis (ATs), promises significant benefits for transportation but depends on building user trust. So far there are few ATs, but governments are considering integrating AT offers into their public transportation network worldwide. Despite the fact that it is the ideal time to identify trust factors that must be considered for successful launch, surprisingly little is known. Thus, this study examines the specific dimensions of trust necessary to accept and adopt ATs. We propose a multidimensional model of trust that integrates dispositional, situational, and learned trust across social, data, and technical levels. Using a two-stage approach comprising confirmatory factor analysis and structural equation modelling, we empirically validate these different trust dimensions through a two-point-in-time survey conducted in Germany. The results indicate that each trust dimension positively influences risk behaviour, with situational technical trust having the most substantial influence. Contrary to previous assumptions, perceived relationship risk does not significantly reduce trust, and perceived situational risk does not moderate the trust–risk relationship. Risk propensity is found to be a strong predictor of risk-taking behaviour. Our research provides valuable insights for developers, providers, and policymakers to promote trust and support the introduction of ATs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 357-373"},"PeriodicalIF":3.5,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067981","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":"Understanding park-and-ride decisions: The influence of travel information, values, and attitudes","authors":"Xinyu Wang ,&nbsp;Hongcheng Gan ,&nbsp;Ke Wang ,&nbsp;Wenjing Wang ,&nbsp;Yue Huang ,&nbsp;Huan Lu","doi":"10.1016/j.trf.2025.05.002","DOIUrl":"10.1016/j.trf.2025.05.002","url":null,"abstract":"<div><div>Multimodal advanced traveler information systems (MATIS) are widely regarded as essential tools for promoting sustainable mobility and supporting traffic demand management strategies, such as park-and-ride (P + R) schemes. However, in many countries, MATIS has not been fully integrated into P + R route planning, potentially limiting the effectiveness of such policies. This study aims to explore how travel information provided via MATIS influences private car drivers’ decisions to choose P + R mode, with a particular focus on the role of personal values and attitudes. The study integrates information on three routes for both “Car and subway P + R” options through a MATIS interface schematic in the form of a smartphone app. This information includes travel time, cost, subway car comfort levels, and parking spaces availability at P + R facilities. A study surveyed 229 respondents in Shanghai, China, regarding their intentions to choose P + R and collected relevant data. Based on the framework of the value-attitude-behavior (VAB) theory, an integrated choice and latent variable (ICLV) model is developed to examine the psychological and informational determinants of P + R choice, treating travel time as a random parameter to capture individual heterogeneity. The results indicate that power and security values are positively linked to comfort and pro-car attitudes, while hedonism values are negatively associated with pro-car attitudes; drivers who prioritize comfort tend to prefer driving on surface streets over elevated freeways or P + R mode, whereas individuals with stronger pro-car attitudes are more likely to choose either P + R or driving on surface streets; significant individual heterogeneity is observed in sensitivity to P + R travel time; the integration of car and P + R travel information through MATIS, particularly information on subway seat availability and parking spaces availability, appears to increase the likelihood of choosing P + R.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 326-343"},"PeriodicalIF":3.5,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948437","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 formation of public attitudes toward and acceptance of automated driving technology","authors":"Xue Feng ,&nbsp;Chuanshen Qin","doi":"10.1016/j.trf.2025.05.006","DOIUrl":"10.1016/j.trf.2025.05.006","url":null,"abstract":"<div><div>As the market for Level 3 and Level 4 automated driving vehicles matures, public interest in this technology has increased. However, the risks and benefits associated with automated driving technology have resulted in varying public perceptions. This study aimed to determine the factors leading to the creation of attitude groups and their corresponding levels of automated driving technology acceptance. To this end, a survey questionnaire was conducted with 825 respondents in Shanghai, China’s leading city for automated driving technology. The data were analyzed using cluster analysis and multinomial logistic regression. The findings showed that (1) in terms of attitudes toward automated driving technology, the following groups exist: positive (21.21%), negative (36.00%), and ambivalent (42.79%). (2) Ambivalent attitudes mainly result from higher levels of consideration of future consequences and lower self-efficacy levels. (3) While those in the negative group were hesitant to embrace any kind of automated driving technology, those in the ambivalent group were mainly reluctant to embrace Level 4 automated driving technology. (4) In terms of social trust, trust in the government improved acceptance of automated driving technology among the positive and negative groups, while trust in automated driving technology companies raised the acceptance levels of the ambivalent group. The study explores how the public weighs the risks and benefits of automated driving technology, identifies various attitudes toward it, and provides practical advice for communicating the risks of Level 3 and Level 4 automated driving technology.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 344-356"},"PeriodicalIF":3.5,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948435","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":"Development and validation of the Automated Vehicle Acceptance Questionnaire for Pedestrians (AVAQ-P)","authors":"S. Nordhoff ,&nbsp;M. Hagenzieker ,&nbsp;M. Wilbrink ,&nbsp;M. Oehl","doi":"10.1016/j.trf.2025.04.016","DOIUrl":"10.1016/j.trf.2025.04.016","url":null,"abstract":"<div><div>The investigation of automated vehicle acceptance (AVA) has received considerable attention in the past few years. Understanding the factors impacting their acceptance is pivotal to ensure a large-scale and wide acceptance of AVs. The AVA by pedestrians is still little understood. To address this knowledge gap, the main objective of this study is to develop and validate an instrument for the assessment of AVA by pedestrians. We tested this instrument on a German sample of pedestrians (<em>n</em> = 136), considering their individual demographic characteristics, and level of affinity for technology interaction. A four-step approach was adopted to analyze the data. First, a principal component analysis was performed to reduce the number of items, exploring the sources of variation in the dataset. Second, the principal components were subjected to a confirmatory factor analysis to investigate the validity and reliability of the proposed measurement model. Third, structural equation modeling was conducted to estimate the path relationships between our constructs. The study has revealed differences between the effect sizes and significance levels of the factors influencing pedestrians’ AVA. The AVA by pedestrians was most strongly influenced by affinity for technology interaction (i.e., extent to which the individual actively approaches or avoids the interaction with new systems), performance expectancy (i.e., extent to which the individual believes that using the system will support them in achieving gains in the performance of the task) and social influence (i.e., extent to which the individual believes that people important to them think that the individual should perform the behavior). Male pedestrians were more likely to accept AVs. We also revealed significant interaction effects of age on the variables in our model. With this work, we have contributed to the development and validation of the Automated Vehicle Acceptance Questionnaire for Pedestrians (AVAQ-P). We recommend future research to replicate the study with a larger, more representative and gender-diverse population of pedestrians, considering cross-cultural differences in AVA.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 307-325"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143940687","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":"Systematic review and meta-analysis of take-over time from automated driving at SAE levels 2 and 3 to manual control","authors":"Marios Sekadakis,&nbsp;George Yannis","doi":"10.1016/j.trf.2025.04.003","DOIUrl":"10.1016/j.trf.2025.04.003","url":null,"abstract":"<div><div>The increasing automation of road transport promises significant safety improvements. However, the transition from automated to manual control at SAE Levels 2 and 3 poses critical safety challenges, particularly during Take-Over Requests (TORs). Understanding the factors influencing Take-Over Time (TOT) is crucial for ensuring effective and safe driver responses, especially under varying road, traffic, and Human-Machine Interface (HMI) conditions. This study systematically investigates how TOT is affected by road environments, traffic volumes, SAE levels, HMI designs, and TOR alerts. It also examines how TOT influences driving performance and safety metrics, such as, acceleration, lane position, and crash rates after TOR. Using the PRISMA framework, 51 studies were systematically reviewed. Meta-regression and sensitivity analyses were conducted to quantify the effects of key factors on TOT. Heads-Up Displays (–14.8 %), TOR alerts (–64.7 %), and higher traffic volumes (–10.8 % per increase from free flow to high traffic volume) were associated with shorter TOT, while urgent TORs (+36.7 %), unequal gender distribution (+14.3 %), increased time budgets (+1.8 % per second), and additional lanes (+14.2 % per lane) were associated with longer TOT. TOT varied significantly across road types and traffic volumes, with highways exhibiting longer TOT and high traffic volumes resulting in shorter TOT, likely due to heightened driver attentiveness. Driving performance metrics revealed significant correlations between shorter TOT and higher maximum longitudinal and lateral accelerations, greater lane variability, and a moderate increase in crash rates, highlighting potential safety concerns. This study highlights the critical role of adaptive systems tailored to specific driving contexts, road conditions, and automation levels.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 263-306"},"PeriodicalIF":3.5,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937645","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":"Evaluation of carsickness countermeasures in a test track study","authors":"Stefan Wolter ,&nbsp;Jessica Rebecca Rausch ,&nbsp;Maximilian Julius Engelke ,&nbsp;Nikica Hennes ,&nbsp;Abhinav Dhake ,&nbsp;Hendrik Groß ,&nbsp;Pia Immoor","doi":"10.1016/j.trf.2025.04.028","DOIUrl":"10.1016/j.trf.2025.04.028","url":null,"abstract":"<div><div>Carsickness is an inconvenience to many people traveling in a car and might become even more problematic with increasing vehicle automation. As part of a user study, several countermeasures were developed and evaluated. A modified test car with participants seated as passengers was driven around a standardized, enclosed test track. A reading task was employed to elicit carsickness. The countermeasures included (1) visual cues about upcoming vehicle motions, (2) so-called non-read zones on demanding parts of the test track during which participants were supposed not to read and finally (3) listening to an audiobook. Several measures were employed to quantify participants’ state of distress. The continuously asked Misery Scale ratings revealed a steady rise of carsickness levels in the baseline condition without any countermeasure (<em>p</em> &lt; 0.001). The countermeasure condition (1) revealed to systematically lower the carsickness level (<em>p</em> &lt; 0.001). Though with a moderate effect size (<em>η²</em> = 0.074). The countermeasures (2) and (3) both decreased the Misery Scale ratings much more distinctively (<em>η²</em> = 0.369). The obtained results show that visual cues are helpful in decreasing carsickness. However, switching to the audio channel or simply stopping the reading task during demanding road stretches is much more helpful.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 250-262"},"PeriodicalIF":3.5,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928671","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":"Self-reported challenges in the driving license process for adolescents with ADHD and ASD","authors":"B. Thorslund ,&nbsp;B. Lidestam","doi":"10.1016/j.trf.2025.04.025","DOIUrl":"10.1016/j.trf.2025.04.025","url":null,"abstract":"<div><div>Around 10 percent of Swedish students have neurodevelopmental disorders (NDD), such as ADHD and ASD and the numbers have been increasing. Individuals with NDD tend to face more challenges in driving and driver training compared to others. Swedish authorities are currently reviewing the driver education system to increase drivers’ awareness of risks and environmental considerations. To ensure that the new curriculum better accommodates the needs of individuals with NDD, this study aims to explore the challenges faced by autistic individuals and individuals with ADHD during the driver’s license process, as well as their willingness to share these challenges with educators and driving examiners.</div><div>A questionnaire study was conducted among individuals either in the process of obtaining their driver’s license or who had recently obtained it. Out of 217 respondents, 34 had ADHD, 14 had ASD, and 24 had both ADHD and ASD.</div><div>This study offers novel insights into the challenges during the driving license process for individuals with NDD. Results show that individuals with ADHD and ASD seeking a driver’s license encounter challenges throughout the process, especially those with ADHD or a combination of ADHD and ASD. Respondents in the diagnosis groups are more willing to share their challenges, suggesting their awareness of the benefits. Still, there is an important discrepancy between wanting to share and knowing when to.</div><div>Since driving simulators can create specific training scenarios and have proven effective in improving driving performance, practicing reported challenges such as positioning, task switching, and rule adherence in a driving simulator could help reduce challenges for driver students with NDD. Individual variations make effective communication crucial to reducing challenges in the driver’s license process for individuals with NDD. Therefore, alternative communication methods, such as for example simplified language, should be further explored, alongside the implementation of a mandatory information sheet addressing individual challenges for all learner’s permit applicants.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 237-249"},"PeriodicalIF":3.5,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928670","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":"Meaningful human control of partially automated driving systems: Insights from interviews with Tesla users","authors":"Lucas Elbert Suryana ,&nbsp;Sina Nordhoff ,&nbsp;Simeon Calvert ,&nbsp;Arkady Zgonnikov ,&nbsp;Bart van Arem","doi":"10.1016/j.trf.2025.04.026","DOIUrl":"10.1016/j.trf.2025.04.026","url":null,"abstract":"<div><div>Partially automated driving systems are designed to perform specific driving tasks—such as steering, accelerating, and braking—while still requiring human drivers to monitor the environment and intervene when necessary. This shift of driving responsibilities from human drivers to automated systems raises concerns about accountability, particularly in scenarios involving unexpected events. To address these concerns, the concept of meaningful human control (MHC) has been proposed. MHC emphasises the importance of humans retaining oversight and responsibility for decisions made by automated systems. Despite extensive theoretical discussion of MHC in driving automation, there is limited empirical research on how real-world partially automated systems align with MHC principles. This study offers two main contributions: (1) an empirical evaluation of MHC in partially automated driving, based on 103 semi-structured interviews with users of Tesla's Autopilot and Full Self-Driving (FSD) Beta systems; and (2) a methodological framework for assessing MHC through qualitative interview data. We operationalise the previously proposed tracking and tracing conditions of MHC using a set of evaluation criteria to determine whether these systems support meaningful human control in practice. Our findings indicate that several factors influence the degree to which MHC is achieved. Failures in tracking—where drivers' expectations regarding system safety are not adequately met—arise from technological limitations, susceptibility to environmental conditions (e.g., adverse weather or inadequate infrastructure), and discrepancies between technical performance and user satisfaction. Tracing performance—the ability to clearly assign responsibility—is affected by inconsistent adherence to safety protocols, varying levels of driver confidence, and the specific driving mode in use (e.g., Autopilot versus FSD Beta). These findings contribute to ongoing efforts to design partially automated driving systems that more effectively support meaningful human control and promote more appropriate use of automation.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 213-236"},"PeriodicalIF":3.5,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921967","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":"Analysis of driver Lane-Changing behavior under the influence of truck platoons at highway Exits: A driving simulation study","authors":"Xiaonan Li,&nbsp;Weilin Zhang,&nbsp;Qi Li,&nbsp;Feng Chen","doi":"10.1016/j.trf.2025.04.029","DOIUrl":"10.1016/j.trf.2025.04.029","url":null,"abstract":"<div><div>With the rise of truck platooning for improved fuel efficiency and road usage, new challenges have emerged for drivers at highway exits where truck platoons can create significant barriers, acting like moving walls that prevent safe lane changes for exiting vehicles due to their length and position. This study investigates driver lane-changing and off-ramp behaviors near highway exits under the influence of truck platoons. Using a driving simulation experiment, the impact of varying truck platoon gaps and different lateral distributions on driver decisions was analyzed. The CART algorithm, XGboost, and other predictive models for developing lane-changing decisions were analyzed and compared. Based on the interpretability and predictability of these models, further analysis was conducted on the degree of influence of variables on decision-making. Key findings indicate that larger platoon gaps increase merging rates and driver confidence in overtaking, while smaller gaps lead to more late lane changes and conservative behaviors. The speed difference between the vehicle and the truck platoon and the distance between the vehicle and the tail truck of the platoon have the greatest impact on the driver lane-changing decisions. Insights from this study can inform the design of truck platooning strategies and driver assistance systems, ultimately enhancing traffic efficiency and safety at highway exits.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 174-193"},"PeriodicalIF":3.5,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918238","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":"Explaining Authoritative Control Interventions in Automated Driving to Support Driver Understanding, Trust, and Reliance","authors":"Liza Dixon ,&nbsp;Norbert Schneider ,&nbsp;Dominik Mühlbacher ,&nbsp;Dennis Befelein ,&nbsp;Frank O. Flemisch ,&nbsp;Martin Baumann","doi":"10.1016/j.trf.2025.04.013","DOIUrl":"10.1016/j.trf.2025.04.013","url":null,"abstract":"<div><div>Future automated driving systems (ADS) may be given the ability to fully block or takeaway driver control authority; for example, in cases of immediate danger. During these interventions, drivers will rely on the environment and the human–machine interface to explain the system’s behavior and to regain situational awareness. To examine how information can be structured to explain an authoritative control intervention, <span><math><mrow><mi>N</mi><mo>=</mo><mn>46</mn></mrow></math></span> participants were exposed to three text message variations following interventions in two different driving scenarios in a simulator study. Text messages affected drivers’ objective and subjective responses to interventions. Including “<em>Why</em>” information about the reason for the automation’s behavior rather than <em>“How”</em> information about the control authority distribution increased understanding, trust, and appropriate reliance upon the automation. However, the evaluation of the automation’s behavior depended primarily on differences in the driving scenario, while text messages had only a minor influence. Driver gaze varied based on the driving scenario, with more glances to the HMI when driver control authority was taken away compared to when it was blocked. These findings have implications for human–machine interaction design, policy, and future research, highlighting the need for clear communication strategies during authoritative control interventions.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"113 ","pages":"Pages 194-212"},"PeriodicalIF":3.5,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921966","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}