Key beliefs influencing young drivers' engagement with social interactive technology on their smartphones: A qualitative study

Understanding aberrant driving intentions based on the Theory of Planned Behavior: Literature review and Meta-Analysis

INTRODUCTION

Despite deployed efforts to establish strict road safety standards, human factors is still the leading cause of road crashes. To identify determinants of driver's behavior, TPB (Theory of Planned Behavior) is widely used as a prominent theory of behavior change. However, the existence of different aberrant driving behaviors (decision errors, recognition errors, violations, and physical condition related errors) and several studies using TPB to understand driving behavior, makes it important to conduct a literature review and a meta-analysis of existing studies to use their results in effective driving behavior change interventions.

METHOD

The selection process provided 125 relevant studies that were published between 1991 and 2022, and that used TPB for the understanding of aberrant driving behavior. Five fundamental research questions were defined to identify information to be discovered from the literature review and from the meta-analysis.

RESULTS

In addition to the standard TPB constructs (attitudes, subjective norms, and perceived behavioral control), past behavior, moral norms, and descriptive norms were used in studies for a more comprehensive understanding of aberrant driving intention. This analysis demonstrated a significant correlation between aberrant driving intentions and past behavior. Also, moral norms construct was correlated with violations and recognition errors, whereas descriptive norms construct was correlated just with recognition errors.

CONCLUSIONS

The results of this study highlight the strength of TPB in the prediction of aberrant driving intention and its potential effectiveness to guide interventions aimed at changing aberrant driving behaviors. The study contributes to the comprehension of the relevant psychological factors influencing the engagement of drivers in each category of aberrant driving behaviors.

PRACTICAL APPLICATIONS

Researchers can use the results of this study to select the relevant psychological factors adapted to their interventions of driving behavior change. The results of the meta-analysis can also be used in the prediction of driver's intentions.

Investigating the role of beliefs in influencing the hand-held and hands-free mobile phone use among pedestrians in India

Mobile phone distraction is a significant contributor to pedestrian injuries. However, mobile phone engagement among pedestrians has been scarcely explored in a developing country like India. The present study utilized the beliefs-based theory of planned behaviour to examine the association between pedestrian beliefs towards distracted walking (behavioural, normative, and control) and their mobile phone use frequencies. Based on a survey of 560 pedestrians (64.6% males), it was found that the major use of mobile phones was for listening to music (30.7%), followed by receiving a call (25%), making a call (18.9%), texting (9.8%), navigation (8.5%) and internet browsing (7.1%). A series of multivariate ANOVAs and logistic regression models were developed to investigate the relationships between the beliefs and frequencies of mobile phone use in hands-free and hand-held conditions. Significant multivariate differences were found for behavioural and normative beliefs in hands-free conditions and all three types of beliefs in hand-held conditions. The frequency of mobile phone use was significantly predicted by normative beliefs (p < 0.001) in the hands-free condition, and by behavioural (p = 0.041) and normative beliefs (p = 0.004) in the hand-held condition. The findings may assist the road safety countermeasures in addressing the issue of pedestrian distraction.

Normative influences on young drivers' illegal smartphone use: Applying an extended Theory of Normative Social Behaviour

In the 12 months to November 2021, 19 % of the people killed on Australian roads were aged between 17 and 25 years, despite this age group making up just 12 % of the driving population. A substantial number of these crashes resulted from smartphone use. It is widely accepted that norms influence young drivers' smartphone use; however, there is a dearth of research investigating how different norms interact to influence this behaviour. The current survey study (N = 137) applied an extended Theory of Normative Social Behaviour (TNSB) to investigate illegal smartphone use among young drivers. The original TNSB model proposes that injunctive norm (i.e., perceived societal approval), outcome expectancies, and group identity each moderate the relationship between descriptive norm and behavioural intention. The current study added subjective norm (i.e., perceived approval from important others) to the model. Moderation analyses found that only subjective norm moderated the relationship between descriptive norm and behavioural intention, whereas subjective norm, injunctive norm, and outcome expectancies each partially mediated this relationship. These findings provided partial support for the TNSB. They highlighted the influence of a range of norms on young drivers' smartphone use (i.e., descriptive norm, subjective norm, and injunctive norm) and, in particular, the influence of subjective norm in this context. It also highlights the importance of investigating how norms interact with each other to influence the relationship between descriptive norm and behavioural intention. In accordance with these findings, future public education messages should challenge normative influences, and subjective norm in particular, on young drivers' smartphone use.

Exploring the facilitators and barriers to high-risk behaviors among school transportation drivers: a qualitative study

Background

School transportation (ST) crashes are associated with serious adverse consequences, particularly for students in developing countries. High-risk behaviors (HRBs) of ST drivers are a major factor contributing to ST crashes. This study aimed at exploring the facilitators and barriers to HRBs among ST drivers.

Methods

This qualitative study was conducted in 2019–2020. Participants were ST drivers, students, parents, and school staff purposively selected from Tehran, Iran. Data were collected through in-depth semi-structured interviews and focus group discussions and were concurrently analyzed through conventional content analysis.

Findings

Participants were fifteen ST drivers with a mean age of 45 ± 10.2 years and 24 students, parents, and school staff with a mean age of 28.62 ± 16.08 years. The facilitators and barriers to HRBs came into five main categories, namely previous experiences of HRBs, perceived gains and risks of HRBs, motivating and inhibiting feelings and emotions, positive and negative subjective norms, and perceived mastery in driving.

Conclusion

A wide range of facilitators and barriers can affect HRBs among ST drivers. Strategies for preventing HRBs among ST drivers should be multidimensional and individualized and should focus on strengthening the barriers and removing the facilitators to HRBs.

Smartphone use among young drivers: Applying an extended Theory of Planned Behaviour to predict young drivers' intention and engagement in concealed responding

Young drivers, aged 17-25 years, are more likely than other age groups to access social interactive technologies (e.g., Snapchat, Facebook) on their smartphones while driving. Many of these young drivers do so in a concealed manner, thereby diverting their eyes from the road for extended periods and increasing their crash risk. In accordance with previous research, an extended Theory of Planned Behaviour (TPB) was applied in this survey study to investigate psychosocial predictors of young drivers' intention, and behaviour, of responding to social interactive technology on a smartphone in a concealed manner. Participants (N = 154) resided in Australia, were aged 17-25 years, owned a provisional or an open licence, and owned a smartphone. Participants completed two online surveys administered 1-week apart. The first survey measured intention and assessed the TPB standard constructs of attitude, subjective norm, and perceived behavioural control, as well as the additional constructs of anticipated action regret, anticipated inaction regret, and problematic mobile phone usage. The first survey also assessed whether there were any differences in the salient beliefs (elicited in a previous study) about smartphone use between high and low intenders to engage in this behaviour. The second survey measured engagement in the behaviour of responding in a concealed manner in the previous week. Hierarchical multiple regression analyses showed the standard TPB accounted for 69% of variance in intention, and a further 4% was accounted for by the extended constructs. In the final model, all variables, except anticipated inaction regret, were significant predictors of intention. Intention was the only significant predictor of behaviour. A series of MANOVAs found significant differences in the salient belief items between high and low intenders (e.g., high intenders were more likely to believe that friends/peers and other drivers would approve of them engaging in this behaviour). These key findings can be used as focal points for public education messages to persuade young drivers to reduce the frequency of their smartphone use, which is vital to improve road safety for all users.

Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performance

This study analyzed factors affecting behavior of mobile phone use while driving and its effects on driving performance, in terms of speed, lateral position, steer deviation, steer speed, following distance, perception-reaction time, and occurrence of a near miss situation. To investigate the factors affecting behavior of mobile phone use while driving, 1106 respondents from four different regions in Thailand participated in the questionnaire survey study. Theory of Planned Behavior (TPB) was used to explain these factors including two additional extended factors which are risk perception and law enforcement knowledge. The outcome of this part shows that attitude, norm, and law enforcement knowledge significantly affect the intention and behavior of the drivers. Even though approximately 90 percent of drivers realized that using a mobile phone while driving was dangerous and against the law, they have reported that they still use mobile phone while driving. To determine the effect of mobile phone use on driving performance, a 2-lane, straight rural highway, with a leading vehicle and an unexpected "STOP" sign, were simulated in order to examine the driving performance of drivers "without a phone", "talking on a phone call", and "texting a message" conditions. The results found that using mobile phone while driving can reduce speed and following distance, but increase lateral deviation, steer deviation, steer speed, perception-reaction time, and number of near misses leading to higher risks for road crashes.

Using European naturalistic driving data to assess secondary task engagement when stopped at a red light

PROBLEM

Some evidence exists that drivers choose to engage in secondary tasks when the driving demand is low (e.g., when the car is stopped). While such a behavior might generally be considered as rather safe, it could be argued that the associated diversion of attention away from the road still leads to a reduction of situational awareness, which might increase collision risk once the car regains motion. This is especially relevant for texting, which is associated with considerable eyes-off-the-road-time. Nonetheless, it seems that previous research has barely addressed the actual engagement in secondary tasks while waiting at a red light (as compared to just addressing the tasks' mere prevalence).

OBJECTIVE

The present study investigated secondary task engagement while stopped at a red light using European naturalistic driving data collected through the UDRIVE project. Attention was given to the whole engagement process, including simple prevalence and the tasks' relation (in terms of start/end) to the red light period. Moreover, given that texting is one of the most problematic forms of distraction, it was characterized in more detail regarding glance behavior.

METHOD

Videos of 804 red light episodes from 159 drivers were annotated. Glance behavior was also coded for a sub-set of 75 texting events and their matched baselines. Results, conclusions and practical applications: Drivers engaged in at least one secondary task across almost half of the annotated red light episodes. Drivers who texted while stopped spent most of the time looking at their cell phone. Consequently, drivers might not have been prepared for potentially unexpected events once the light turned green. Further, drivers concluded texting a considerable number of times well after the red light period, which has potential implications for traffic safety.

Predicting the monitoring/reading of communications on a smartphone among young drivers using an extended theory of planned behaviour

Australian drivers aged 17-25 years are overrepresented in road crashes, with many crashes resulting from smartphone use. The current study, based on a prospective design and an extended TPB framework, predicted young drivers' intentions to, and actual behaviour of, monitoring/reading social interactive technology via a smartphone while driving. An online survey at Time 1 (N = 167) assessed the TPB constructs of attitude, subjective norm and perceived behaviour control (PBC), and the additional factors of habit, mindfulness and cognitive capture. A hierarchical multiple regression analysis showed that the TPB constructs accounted for 76.4% in the variance of young drivers' intentions. The extended model, which included habit, mindfulness and cognitive capture accounted for a significant 79% of the variance in intention, and these additional factors explained a significant amount of variance over and above the TPB constructs. The Time 2 survey (N = 95) assessed actual behaviour in relation to smartphone use in the one-week period between the Time 1 and 2 surveys. Results from a multiple regression analysis of Time 2 found that, as expected, intention was a significant predictor of the behaviour of monitoring/reading a smartphone while driving. The results support the TPB for predicting intention and actual behaviour in relation to monitoring/reading a smartphone while driving. The theoretical and practical implications of the current study are discussed as well as recommendations for future research.

Social distance and texting while driving: A behavioral economic analysis of social discounting

Objective: Texting while driving is a dangerous behavior. Drivers continue to engage in the behavior despite knowing its risks, and the factors responsible for the decision to text while driving are poorly understood. This study examined how the relationship of the sender to the driver, in addition to the delay to the destination, may affect the decision to text while driving with the use of a social- and delay-discounting paradigm. Methods: Ninety-four (N = 94) undergraduate students completed a hypothetical social- and delay-discounting task in which they rated their likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination. The social distance of the sender and the delay to the destination were varied across trials. Results: For both social and delay discounting, the likelihood of replying and waiting, respectively, decreased as a function of social distance and delay to the destination. Participants were more likely to text while driving as the social distance of the sender decreased and the delay to the destination increased. Social discounting varied inversely as a function of delay to the destination: The shorter the delay to the destination, the greater the social discounting. Conclusion: The findings indicate that social distance of the sender is an important factor involved in the decision to text while driving. Participants were more likely to reply to a text while driving if the sender was less socially distant. When they were closer to their destination, they were less likely to reply to socially distant people than those closer to them. The roles that social consequences play in drivers' decision making to text while driving are discussed.

Should I Text or Call Here? A Situation-Based Analysis of Drivers' Perceived Likelihood of Engaging in Mobile Phone Multitasking

This study investigated how situational characteristics typically encountered in the transport system influence drivers' perceived likelihood of engaging in mobile phone multitasking. The impacts of mobile phone tasks, perceived environmental complexity/risk, and drivers' individual differences were evaluated as relevant individual predictors within the behavioral adaptation framework. An innovative questionnaire, which includes randomized textual and visual scenarios, was administered to collect data from a sample of 447 drivers in South East Queensland-Australia (66% females; n = 296). The likelihood of engaging in a mobile phone task across various scenarios was modeled by a random parameters ordered probit model. Results indicated that drivers who are female, are frequent users of phones for texting/answering calls, have less favorable attitudes towards safety, and are highly disinhibited were more likely to report stronger intentions of engaging in mobile phone multitasking. However, more years with a valid driving license, self-efficacy toward self-regulation in demanding traffic conditions and police enforcement, texting tasks, and demanding traffic conditions were negatively related to self-reported likelihood of mobile phone multitasking. The unobserved heterogeneity warned of riskier groups among female drivers and participants who need a lot of convincing to believe that multitasking while driving is dangerous. This research concludes that behavioral adaptation theory is a robust framework explaining self-regulation of distracted drivers.

Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies

Distracted driving is one of the most significant human factor issues in transport safety. Mobile phone interactions while driving may involve a multitude of cognitive and physical resources that result in inferior driving performance and reduced safety margins. The current study investigates characteristics of usage, risk factors, compensatory strategies in use and characteristics of high-frequency offenders of mobile phone use while driving. A series of questions were administered to drivers in Queensland (Australia) using an on-line questionnaire. A total of 484 drivers (34.9% males and 49.8% aged 17-25) participated anonymously. At least one of every two motorists surveyed reported engaging in distracted driving. Drivers were unable to acknowledge the increased crash risk associated with answering and locating a ringing phone in contrast to other tasks such as texting/browsing. Attitudes towards mobile phone usage were more favourable for talking than texting or browsing. Lowering the driving speed and increasing the distance from the vehicle in front were the most popular task-management strategies for talking and texting/browsing while driving. On the other hand, keeping the mobile phone low (e.g. in the driver's lap or on the passenger seat) was the favourite strategy used by drivers to avoid police fines for both talking and texting/browsing. Logistic regression models were fitted to understand differences in risk factors for engaging in mobile phone conversations and browsing/texting while driving. For both tasks, exposure to driving, driving experience, driving history (offences and crashes), and attitudes were significant predictors. Future mobile phone prevention efforts would benefit from development of safe attitudes and increasing risk literacy. Enforcement of mobile phone distraction should be re-engineered, as the use of task-management strategies to evade police enforcement seems to dilute its effect on the prevention of this behaviour. Some countermeasures and suggestions were proposed in the design of public education campaigns and driver-mobile phone interaction.

Evaluating public education messages aimed at monitoring and responding to social interactive technology on smartphones among young drivers

Young drivers are more likely than any other age group to access social interactive technology (e.g., Facebook, E-mail) on a smartphone while driving. The current study formed part of a larger investigation and was guided by The Step Approach to Message Design and Testing (SatMDT) to evaluate the relative effectiveness of three different public education messages aimed at reducing smartphone use among young drivers. The messages were each adapted to the specific behaviours of monitoring/reading and responding to social interactive technology on smartphones. Participants (n=288; 199F, 89M) were drivers aged 17-25 years who resided in the Australian state of Queensland. Message acceptance (i.e., intention and effectiveness) and message rejection were both assessed using a self-report survey. Multivariate analyses found that, overall, the messages targeting monitoring/reading behaviour were considered more effective than those targeting responding behaviour. The message that challenged the underlying motivation that believing you are a good driver makes it easier to monitor/read social interactive technology while driving was considered particularly effective by young male drivers.

Young drivers' engagement with social interactive technology on their smartphone: Critical beliefs to target in public education messages

The current study forms part of a larger study based on the Step Approach to Message Design and Testing (SatMDT), a new and innovative framework designed to guide the development and evaluation of health communication messages, including road safety messages. This four step framework is based on several theories, including the Theory of Planned Behaviour. The current study followed steps one and two of the SatMDT framework and utilised a quantitative survey to validate salient beliefs (behavioural, normative, and control) about initiating, monitoring/reading, and responding to social interactive technology on smartphones by N=114 (88F, 26M) young drivers aged 17-25 years. These beliefs had been elicited in a prior in-depth qualitative study. A subsequent critical beliefs analysis identified seven beliefs as potential targets for public education messages, including, 'slow-moving traffic' (control belief - facilitator) for both monitoring/reading and responding behaviours; 'feeling at ease that you had received an expected communication' (behavioural belief -advantage) for monitoring/reading behaviour; and 'friends/peers more likely to approve' (normative belief) for responding behaviour. Potential message content targeting these seven critical beliefs is discussed in accordance with the SatMDT.