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

{"title":"The impact of personality on the propensity of carpooling to work","authors":"Rémy Le Boennec ,&nbsp;Stéphane Roger ,&nbsp;Stéphanie Cœugnet","doi":"10.1016/j.trf.2024.11.006","DOIUrl":"10.1016/j.trf.2024.11.006","url":null,"abstract":"<div><div>This study aims to test the sensitivity of five personality tendencies to levers of carpooling to work. We launched a large-scale online questionnaire targeting daily car drivers in France (N = 1,134 respondents) to test the link between levers to engage in carpooling (environmental awareness, confidence in others, relationship to time, economic gain and easy access to carpooling) and five personality tendencies of car drivers’ (feeling of ecological responsibility/ FER, social affinity as a measure of level of extraversion/ SA, saving time tendency to individual with a time-pressure sensitivity/ ST, sensitivity to reward/ SR, and technophilia/ TECH). Respondents were questioned about their home-to-work carpooling habits and motives, their preferences according to some carpooling options, their assessments of a new carpooling to work concept and their projected use of it. The results show a strong link between the five chosen personality tendencies and carpooling practice, perception and overall acceptance, except for the sensitivity to reward (SR). Economic gain is a strong lever for the entire population, and this must be maintained for all and rendered more visible. Our results also reveal that a carpooling to work service, adaptable to all the driver’s requests at each step of carpooling would meet the various needs of the different personality tendencies. In addition, a carpooling application must allow adaptability to specific personality tendencies (FER, ST, SA as a minimum) regarding the choices to be made at each stage of carpooling, while ensuring user-friendliness to facilitate access to those who are least comfortable with new technologies.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 1144-1161"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653703","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":"Incorporating personality traits for the study of user acceptance of electric micromobility-sharing services","authors":"Senkai Xie,&nbsp;Feixiong Liao","doi":"10.1016/j.trf.2024.10.023","DOIUrl":"10.1016/j.trf.2024.10.023","url":null,"abstract":"<div><div>Electric micromobility-sharing services (EMS) have emerged as a promising mobility tool for tackling transportation problems. Understanding the drivers of user acceptance of EMS is essential for proper deployment. However, there is no consensus in the literature on the effects of psychological factors on EMS adoption, and little research has considered personality traits to capture individual differences. To fill this research gap, we administered a survey through a Dutch panel that integrated the Big Five personality traits into a user acceptance framework and applied structural equation modeling (SEM) to investigate user acceptance of EMS. The quantitative analysis reveals that three UTAUT factors (social influence, performance expectancy, and hedonic motivation) have strong positive direct effects on user acceptance. Among the Big Five personality traits, openness and extraversion have significant but weaker total effects, while other personality traits (conscientiousness, agreeableness, and neuroticism) have no significant effects. It is also found that young people and residents of large cities have a higher intention to adopt EMS, while the majority who are highly satisfied with the status quo transportation modes have a lower intention to use EMS for short trips. The analysis results offer crucial insights into crafting tailored strategies to deploy EMS.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 1015-1030"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding car-sharing by integrating long-, medium- and short-term cognitions","authors":"Christian Bretter ,&nbsp;Hemant Sharma ,&nbsp;Kate Pangbourne","doi":"10.1016/j.trf.2024.10.020","DOIUrl":"10.1016/j.trf.2024.10.020","url":null,"abstract":"<div><div>Examinations into the psychological drivers of car-sharing have to date focused on short-term cognitions such as attitudes, norms, and intentions. In this paper, we integrate such short-term cognitions with medium-term cognitions (e.g., goals) and long-term cognitions (e.g., values), thereby providing a more comprehensive understanding of the psychological drivers of car-sharing. We surveyed a broadly representative sample of the UK population (N = 1,294) and found that values underlie medium-term cognitions (e.g., goals) and short-term cognitions, thereby ultimately influencing car-sharing intentions and behaviour. Moreover, our results show that environmental consciousness and the desire for luxury are important yet opposing goals that affect both intentions to engage in car-sharing and to actually use car-sharing. Overall, we demonstrate that car-sharing may be more complex than previously anticipated and should be understood as a behaviour that results from a complex web of long-, medium-, and short-term cognitions. We discuss practical and theoretical implications.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 985-996"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“I will raise my hand and say ‘I over-trust Autopilot’. I use it too liberally” – Drivers’ reflections on their use of partial driving automation, trust, and perceived safety","authors":"Sina Nordhoff ,&nbsp;Marjan Hagenzieker","doi":"10.1016/j.trf.2024.09.021","DOIUrl":"10.1016/j.trf.2024.09.021","url":null,"abstract":"<div><div><strong>Introduction:</strong> Partially automated cars are on the road. Trust in automation and perceived safety are critical factors determining use of automation. <strong>Background:</strong> Drivers misuse partially automated driving systems. Misuse is associated with mis-calibrated trust in the automation. <strong>Research gap:</strong> Little is known about the factors impacting the perceived safety when using partial driving automation. <strong>Research objective:</strong> The main objective of the present study is to provide a comprehensive driver perspective on the psychological aspects of automation use pertaining to trust in automation, perceived safety, and its relationship with use of automation. <strong>Method:</strong> Semi-structured interviews (n = 103) were conducted with users of partially automated driving systems. Supplemented with content analysis, natural language processing (NLP) techniques were applied to perform automatic text processing. Guided seed-term analysis was conducted to identify the number of occurrences of the subcategories in the dataset. <strong>Main results:</strong> We identified human operator-related, automation-related, and environmental factors of trust and perceived safety. The identified factors were more strongly associated with perceived safety than with trust. Participants with physical and visual impairments reported to feel safer using the automation compared to driving manually. Neurotic behavior during manual driving contributed to lower trust and perceived safety using the automation. A correct mental model of the capabilities and limitations of the automation did not guarantee proper automation use. A novel conceptual, process-oriented model, titled PTS-a (predicting trust in and perceived safety of automation use), synthesizes the results of the data analysis. Informed by the cognition-leads-to-emotions approach, the model posits that trust as cognition precedes perceived safety as affective construct. Trust and perceived safety determine how human operators (mis-, dis-)use the automation. <strong>Future research:</strong> We recommend future research to perform experimental studies to identify cognitive-related thoughts and beliefs pertaining to trust in automation and perceived safety to contribute to the operationalization of these constructs, and unravel the nature of their relationship.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 1105-1124"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and comparison of auditory-cognitive and visual-manual distraction risk characteristics and their effect on driving","authors":"Mengjiao Wu ,&nbsp;Xuesong Wang ,&nbsp;Jiawen Chen ,&nbsp;Xiang Ji ,&nbsp;Yiran Sun","doi":"10.1016/j.trf.2024.11.002","DOIUrl":"10.1016/j.trf.2024.11.002","url":null,"abstract":"<div><div>Distracted driving is one of the most important causes of traffic crashes, leading 162 countries to establish regulations to control distracted driving, mainly by prohibiting or limiting the use of mobile phones. At present, there is no standard for regulating cellphones or other distractions. Understanding the specific risk characteristics of common distracted driving behaviors is crucial for regulatory development. However, research has been limited in comparing the risk characteristics of common distractions. Hence, this study aims to analyze and compare the risk characteristics of several auditory-cognitive and visual-manual distractions, as well as factors specific to individual drivers. Two crash surrogate indicators, lateral position and acceleration, were categorized into three risk levels. The partial proportional odds model was used to analyze lane keeping events, and the mixed-effects logit model was used for speed control events. Model results showed that, compared with the no-distraction baseline, visual-manual distraction tasks undermined both driver lane control and speed control, while auditory-cognitive distraction had little effect on lane keeping; auditory-cognitive distractions showed less risk of max deceleration than visual-manual distractions, but showed more risk of max acceleration. Additionally, it was found that older and female drivers have a higher risk of max acceleration when distracted, and older drivers have a higher risk of lane departure when distracted. These results provide data support for the development of distracted driving regulations.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 1042-1061"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653694","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":"Is cannabis associated with more than just driving impairment? An investigation into the psychological dysfunctioning and driving behaviours of active cannabis users","authors":"Steven Love ,&nbsp;Petra Unger ,&nbsp;Bevan Rowland ,&nbsp;Kerry Armstrong","doi":"10.1016/j.trf.2024.11.010","DOIUrl":"10.1016/j.trf.2024.11.010","url":null,"abstract":"<div><div>Research has suggested that problematic cannabis use is associated with self-regulatory impairments, psychopathology, and the tendency to engage in risk taking behaviours. However, no research has applied the combined dynamics of these factors to the topic of risky driving behaviour specifically. This study investigated whether specific cannabis use patterns (i.e., use onset, duration, frequency, and quantity) and likely dependence influenced driving styles, via their effects towards emotional dysregulation and psychopathology (i.e., anxiety, depression, anger), among an online sample of active Australian cannabis users (<em>N</em> = 200). Group comparisons showed that likely dependent cannabis users reported significantly greater difficulties regulating their emotions, greater incidence of psychopathological symptoms (i.e., anxiety, depression, and anger), and more frequent engagement in risky driving styles (i.e., anxious driving, aggressive driving, dissociative driving, and reckless driving), compared to non-dependent cannabis users. Examination of bivariate correlations demonstrated significant and positive associations between specific cannabis use patterns, emotional regulation difficulties, psychopathology, and risky driving styles. Structural equation modelling highlighted that cannabis use patterns indirectly predicted participants self-reported engagement in risky driving styles via their effects towards self-regulatory difficulties and psychopathology. The findings of this study have highlighted driving related risks associated with cannabis use, outside of typical acute-related impairments. In addition, the study has emphasised the importance of psychological dysfunctioning in the engagement of both substance use and risky driving styles. Understanding this in combination is important for future interventions targeting aberrant driving behaviours.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 1162-1174"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drivers’ acceptance of adaptive warning–monitoring systems. Findings from a car driving simulator study","authors":"Christelle Al Haddad ,&nbsp;Mohamed Abouelela ,&nbsp;Kris Brijs ,&nbsp;Evelien Polders ,&nbsp;Tom Brijs ,&nbsp;Constantinos Antoniou","doi":"10.1016/j.trf.2024.10.005","DOIUrl":"10.1016/j.trf.2024.10.005","url":null,"abstract":"<div><div>Private vehicles are nowadays often equipped with advanced driver assistance systems (ADAS) that aim to assist drivers in maintaining safe driving behavior. Understanding users’ acceptance and perceptions towards them is therefore crucial, mostly before developing or implementing additional assistance features. Driving simulators provide a unique opportunity to test ADAS in a controlled environment, in particular when safety–critical situations need to be replicated in a way that is not possible on real roads. In this study, an advanced warning–monitoring system, developed in the context of the recent European–wide naturalistic driving study (i–DREAMS<span><span>¹</span></span>), is implemented in a driving simulator environment, so that is tested before it is then deployed in vehicles on real roads. For this purpose, a driving simulator study was conducted in Germany, in which 60 drivers participated. The study included three drives: the first was a baseline drive in which in–vehicle warnings were not activated, the second included real–time warnings (interventions), and the third had an additional distraction component, introduced by means of a mobile phone texting task (imposed on participants). Drivers were also asked to fill various questionnaires focusing on their perceptions towards general ADAS and driving, but also towards the implemented system (the i–DREAMS system<span><span>²</span></span>). A statistical analysis of the questionnaire results led to the partial validation of the technology acceptance model (TAM) for the i–DREAMS system, for which perceived usefulness (PU) and perceived ease of use (PEU) of the system, both of which resulted from a factor analysis of the attitudinal questions, were found to be crucial factors for the behavioral intention to use it. In the validated TAM, PU of the i–DREAMS system was found to be positively impacted by external variables, namely PU of similar ADAS systems, whereas PEU was found to be positively influenced by driving experience. While the system was overall positively received, findings and lessons learned from the experiment were transferred to future field experiments conducted within the same project, and suggested more generally that driving simulator studies could be very beneficial for testing newly developed in–vehicle technologies, leading on the long run to safer roads.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 1071-1091"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of level 2 automation on driver behavior: A study using association rules mining","authors":"Rohit Chakraborty ,&nbsp;Syed Aaqib Javed ,&nbsp;Subasish Das ,&nbsp;Boniphace Kutela ,&nbsp;Md Nasim Khan","doi":"10.1016/j.trf.2024.10.016","DOIUrl":"10.1016/j.trf.2024.10.016","url":null,"abstract":"<div><div>Driver distraction and reduced situational awareness pose significant risks in vehicles with Level 2 (L2) automation systems, such as adaptive cruise control and lane-keeping assistance. This study analyzed naturalistic driving data using Association Rules Mining (ARM) to investigate the impact of L2 automation on driver behavior. The dataset included 771 driving events categorized by L2 system activation status (active or inactive), intersection types, and hand positions on the steering wheel. Key variables were analyzed, such as eyes-off-road (EOR) time, off-road glance frequency and duration, and the influence of different driving conditions. The findings revealed that driver distraction, indicated by longer EOR times and more frequent off-road glances, is significantly higher when L2 systems are active. Additionally, drivers exhibit the highest levels of inattention with no hands on the wheel during L2 activation. These insights highlighted the need for improved driver-system interfaces. They targeted driver education to enhance the safety and effectiveness of L2 automation, ultimately contributing to safer roadways and better-informed policy decisions.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 937-950"},"PeriodicalIF":3.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539755","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":"Two-stage transition procedure reduces potential hazards on planned transitions in automated driving","authors":"Kunihiro Hasegawa,&nbsp;Yanbin Wu,&nbsp;Ken Kihara","doi":"10.1016/j.trf.2024.10.017","DOIUrl":"10.1016/j.trf.2024.10.017","url":null,"abstract":"<div><div>The feasibility of human-system transition in conditional automated driving systems remains an unresolved issue. These advanced systems necessitate support for planned transitions due to their frequent occurrence. Concerns in planned transitions include the lack of situation awareness and physical preparedness; specifically, drivers lack awareness of the traffic situation and their hands are occupied at the moment of transition. In this study, three types of two-stage transition procedures were investigated as potential solutions to these issues. In these procedures, the takeover request was issued after either a prenotification alert (notifying drivers of an impending takeover request) or a preparation request for takeover (requiring drivers to cease non-driving-related activities and monitor the traffic situation with both hands unoccupied for approximately 1 min before the transition). The effectiveness of combining road signs with the preparation request to facilitate takeover was also evaluated. The results indicate that a two-stage transition procedure incorporating a preparation request can mitigate potential hazards in planned transitions. This procedure resulted in shorter takeover reaction times and a lower rate of lane change failures post-takeover compared to the single-stage transition procedure. The addition of road signs to the preparation request further enhanced takeover support. However, the two-stage transition procedure was ineffective when only a prenotification alert was provided without a preparation request. Furthermore, the gaze behaviour of the drivers during the preparation period suggested the development of situation awareness for a safe and smooth takeover. The trend in gaze behaviour shifted from “busy and widespread” to “stably and centralised,” occurring within approximately 20 s. These findings may contribute to the design of automated driving systems, the planning of road infrastructures, and the development of driver monitoring systems.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 924-936"},"PeriodicalIF":3.5,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Charging or Swapping? A study on the private Consumers’ acceptance of the electricity replenishment mode of new energy vehicles","authors":"Zhisong Chen ,&nbsp;Sijun Xia ,&nbsp;Zhenchuan Shao ,&nbsp;Zhimai Gu ,&nbsp;Zhongming Wu ,&nbsp;Lin Wu ,&nbsp;Xinrui Wang","doi":"10.1016/j.trf.2024.10.015","DOIUrl":"10.1016/j.trf.2024.10.015","url":null,"abstract":"<div><div>In recent years, two types of electricity replenishment modes of new energy vehicles (NEVs) have gradually developed in the NEVs market, one is the battery charging mode, and the other is the battery swapping mode. These two electricity replenishment modes have their own advantages and disadvantages, and consumers have different usage experiences. Generally speaking, the battery charging mode is usually more economical than the battery swapping mode, and its usage scenarios are more common, but in terms of replenishment speed and convenience, the battery swapping mode has obvious advantages. Based on the unified theory of acceptance and use of technology (UTAUT) model, this paper tries to explore the key impact factors on the private consumers’ acceptance of the electricity replenishment mode of NEVs in the market, investigate the heterogeneity of gender, age, and income, and justify the development trend of the electricity replenishment mode of NEVs, aiming to provide managerial insights and policy implications for the high-quality development of the electricity replenishment mode of NEVs. The results indicate that among the five-dimensional variables we selected, performance expectancy has little effect on acceptance, while effort expectancy, social influence, and quality sensitivity have a positive impact on acceptance, and perceived risk has a negative impact on acceptance. Gender, age, and income level had different effects on each variable. This has a reference enlightenment for the follow-up production and marketing of related enterprises.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 903-923"},"PeriodicalIF":3.5,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526274","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}