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Distracted driving is a traffic safety issue worldwide. While the development of comprehensive information and road rules about distracted driving by governments is essential to address the issue, there is evidence showing that existing road rules and information may not always deter drivers from engaging in distractions while driving. Therefore, this study explored drivers' views on government information and road rules concerning distracted driving, aiming to understand how these rules and information have shaped drivers' perceptions and behaviour towards distractions. Interviews (n = 35) were conducted with Queensland drivers aged between 21 and 70 years and a thematic analysis was used to explore the data. Based on the findings, government information on distracted driving was believed by participants to be incomprehensive, not effectively communicated, and focused on mobile phone use. Road rules and enforcement measures often prioritise mobile phone use and contain grey areas that may confuse drivers about legal and illegal distractions. The results showed that the perceived risk of distractions varies among drivers, with some distractions not being considered as risky as other behaviours (e.g., using a smartwatch). Findings showed that government practices are believed to influence drivers' perceptions and behaviour about distracted driving, encouraging an inaccurate perception about driver safety and with the potential to prompt drivers to engage with distracting behaviours without knowledge nor consideration of the risks. The results of this study offer important insights for policymakers in developing and disseminating comprehensive information and road rules for distracted driving., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Despite the promised benefits, the introduction of Automated Vehicles (AVs) on roads will be confronted by many challenges, including public readiness to use those vehicles and share the roads with them. The risk profile of road users is a key determinant of their safety on roads. However, the relation of such risk profiles to road users' perception of AVs is less known. This study aims to address the above research gap by conducting a cross-sectional survey to investigate the acceptance of Fully Automated Vehicles (FAVs) among different non-AV-user groups (i.e., pedestrians, cyclists, and conventional vehicle drivers). A total of 1205 road users in Queensland (Australia) took part in the study, comprising 456 pedestrians, 339 cyclists, and 410 drivers. The Theory of Planned Behaviour (TPB) is used as the theoretical model to examine road users' intention towards sharing roads with FAVs. The risk profile of the participants derives from established behavioural scales and individual characteristics are also included in the acceptance model. The study results show that pedestrians reported lowest intention in terms of sharing roads with FAVs among the three groups. Drivers and cyclists in a lower risk profile group were more likely to report higher intention to share roads with FAVs than those in a higher risk profile group. As age increased, pedestrians were less likely to accept sharing roads with FAVs. Drivers who had more exposure time on roads were more likely to accept sharing roads with FAVs. Male drivers reported higher intention towards sharing roads than female drivers. Overall, the study provides new insights into public perceptions of FAVs, specifically from the non-AV-user perspective. It sheds light on the obstacles that future AVs may encounter and the types of road users that AV manufacturers and policymakers should consider closely. Specifically, groups such as older pedestrians and road users who engage in more risky behaviours might resist or delay the integration of AVs., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Injury severity studies typically rely on police-reported crash data to examine risk factors associated with traffic injuries. The police crash database includes essential information on roadways, crashes and driver-vehicle characteristics but may not contain accurate and sufficient information on traffic injuries. Despite sizable efforts on injury severity modelling, very few studies have employed hospital records to classify injury severities accurately. As such, the inferences drawn from the police-recorded injury severity classifications may be questionable. This study investigates factors affecting road traffic injuries of motor vehicle crashes in two approaches (1) police-reported injury severity data and (2) a data fusion approach linking police and hospital records. Data from 2015 to 2019 were collected from the Abu Dhabi Traffic Police Department and linked with hospital records by the Department of Health, Abu Dhabi. A total of 6,333 casualty crashes were categorised into non-severe, severe, and fatal crashes following police-reported data and non-hospitalised, hospitalised and fatal crashes based on the police-hospital linked data. The state-of-the-art random thresholds random parameters hierarchical ordered Probit models were then employed to examine the differences in factors affecting crash-injury severities between police-reported and police-hospital linked data. While there are similarities between these two approaches, there are numerous notable differences in injury severity factors. For instance, head-on collisions are associated with high crash-injury severities in the model with police-hospital linked data, but they tend to show low injury severities in the model with police-reported data. In addition, the police-reported approach identifies that crashes occurred in remote areas and angle collisions are associated with low injury severities, which is not intuitive. These findings highlight that modelling the misclassified injury severity in police crash data may lead to wrong estimations and misleading inferences. Instead, the data fusion approach of police-hospital linked data provides critical and accurate insights into road traffic injuries and is a valuable approach for understanding traffic injuries., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Young driver speeding behaviour remains a large contributor to road trauma worldwide. In order to provide a more-in depth understanding of how to deter young drivers from this behaviour, this study developed and tested a model of the legal and non-legal factors that influence young driver's intentional speeding behaviour (exceeding the speed limit by more than 10 km/hr). A prospective survey design was conducted to measure the impact of perceptions of legal factors (including classical deterrence and reconceptualised deterrence variables) and non-legal factors (including the variables of fear of physical loss, material loss and perceived social sanctions, as well as the perception that it is safe to engage in the behaviour without being involved in a crash) at time 1, on engagement in speeding behaviour at time 2, which occurred 3 months later. A total of 200 participants aged 17-25 years completed both surveys (Mean age = 20.44 years). Using structural equation modelling, a unique model combining classical and extended deterrence theory, as well as prominent non-legal factors was created, and the variables were able to explain 41% of the variance in speeding behaviour. A high perceived severity of the punishment, experiencing direct punishment avoidance and perceiving that it is safe to speed were significant direct predictors. Meanwhile, there were also numerous significant partially mediated relationships found for both legal and non-legal variables. These findings provide important implications for both the application of deterrence-based theories in road safety and for improving countermeasures to deter young drivers more effectively from engagement in speeding., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

This study addressed the causal ordering problem in deterrence research by examining the perceptual stability of deterrence variables over time and comparing the results via cross-sectional and longitudinal surveys. This research extends upon scant previous research by including three key classical deterrence variables (i.e., the perceived certainty of apprehension and the perceived severity and swiftness of punishment), as well as Homel's (1988) extra-legal deterrence-related variables of the fear of physical loss, material loss and social sanctions. A longitudinal survey design was utilised over a three month-time period (N = 200, Mage = 20.38 years, 71 males) that examined the stability of the deterrence-related variables for three road rule violations, consisting of 1) exceeding the speed limit by more than 10 km/hr, 2) reading a message on a phone while driving and 3) using the social media platform of Snapchat while driving. Overall, fluctuations were found in all the deterrence-related variables (both legal and extra-legal sanctions), with the largest difference being for the perceptions of the certainty of apprehension. Consequently, it can be suggested that: (a) longitudinal surveys are more reliable when measuring the impact of deterrence perceptions on engagement in offending behaviour and (b) the problem of causal ordering regarding utilising cross-sectional surveys is further illuminated. The results suggest that deterrence is a dynamic process, constantly changing based upon individual experiences, which reinforces the need for continued enforcement efforts (both legal and non-legal), within the road safety arena to maximise rule compliance., (Crown Copyright © 2020. Published by Elsevier Ltd. All rights reserved.)

Speeding behaviour has been shown to account for a large number of deaths and serious injuries on Australian roads. Vehicle impoundment is one countermeasure which has been implemented to discourage drivers from engaging in high-range speeding. Despite this countermeasure being used as a sanction in all Australian jurisdictions to combat high-range speeding offences, limited research has examined the effectiveness of vehicle impoundments in Australia. The purpose of this research was to examine the effectiveness of vehicle impoundment for high-range speeding offences on subsequent offence and crash rates. Data were collected from drivers with an eligible excessive speeding offence in Victoria, Australia between 1 July 2006 and 31 December 2014. During this time, there were 17,440 impoundment eligible offences, 6,883 (41.8 %) of which resulted in vehicle impoundment. The analysis revealed that drivers who had a vehicle impounded were more likely to be male, younger, hold a probationary licence, and to have a court offence. In terms of the effectiveness of vehicle impoundment, among high-range offenders, re-offence rates for those who had their vehicle impounded were statistically significantly lower for all licence periods compared with offenders who did not have their vehicle impounded. There was evidence of an effect of impoundment on reducing speeding re-offence rates during the impoundment period as well as some evidence that the impact of licence suspension was greater for those who experienced impoundment. Given that vehicle impoundment is a sanction which aims to discourage and/or incapacitate drivers from engaging in on-road risk taking behaviour, in this case high-range speeding behaviour, the longer-term positive effects of this sanction may assist with the on-going effort to reduce on-road risk taking behaviours., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

To assess and explain finely drivers' a priori acceptance of highly automated cars, this study used the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, the current study sought to extend upon previous research to assess if intentions to use highly automated cars in the future differed according to country (i.e., Australia, France, & Sweden). These three countries were selected to enable comparisons of a priori acceptance between countries of differing levels of exposure to highly automated cars. Participants (N = 1563; 62.1 % male) were recruited in Australia (n = 558), France (n = 625), and Sweden (n = 380) to complete a 20 min online questionnaire. The findings differed according to country of residence. Individuals residing in France reported significantly greater intentions to use highly automated cars when they become publicly available compared to individuals residing in Australia and in Sweden. Of the TPB constructs entered at step 1 in the hierarchical regression, attitudes, subjective norms, and perceived behavioural control (capability and controllability) were significant predictors of intentions to use highly automated cars for participants residing in Australia and France. For participants residing in Sweden, only attitudes and PBC-capability were significant predictors of intentions. Of the UTAUT constructs entered at step 2, performance expectancy and effort expectancy were significant predictors of intentions for participants residing in France and only performance expectancy a significant predictor of intentions for participants residing in both Australia and Sweden. Age and gender did not add to the prediction of intentions when entered at step 3. However, pre-existing knowledge was a significant negative predictor of intentions when entered at step 3 for participants residing in Australia. Overall, the findings found some support for applying the TPB and UTAUT to assess intentions to use highly automated cars in different countries. The findings also highlight differences in a priori acceptance across countries and the factors which predict such acceptance., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

The nature of the road environment requires drivers to be vigilant and attentive. Distracted driving is a primary concern, as it threatens the safety of road users. However very little research has been conducted into interventions to combat such an issue. Existing interventions such as police enforcement and legislation appear to have limited effect. The use of mobile phone applications to assist in limiting driver distraction is an alternative intervention that is currently gaining traction. With a great array of potential benefits, such as reducing road toll, these applications can be readily available to all road users. Despite the positive implications, it is vital that drivers accept the use of such a technology for the intervention to be effective. Therefore, understanding driver acceptance is an important step in implanting such applications. To assess this, the present study examines the utility of two versions of the Technology Acceptance Model (TAM), the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT) for understanding the acceptance of technology designed to reduce distraction. Participants were presented with two different applications and responded to questions that indicated their attitudes towards the factors included in the TAM, TPB and UTAUT, alongside their intent to use the technology. A total of 731 participants responded to the survey, and their responses analysed. The results indicated that overall, Davis' (1985) TAM was slightly better in explaining behavioural intent for both Mobile Phone Application (MPA) 1 and MPA 2, explaining 66.1% and 68.7% of the variance, respectively. Davis' (1989) TAM and the TPB were close behind, while the UTAUT explained the least variance in behavioural intent of all the models. Overall, the findings of this study provide support for using psychological theories to assess the acceptance of mobile phone applications., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

This study applied the revised-Reinforcement Sensitivity Theory (r-RST) to assess the influence of individual differences in young male and female drivers' risk perceptions and intentions to exceed the posted speed limit in a 60 km/hr zone. Relevant to the current study was the Behavioural Activation System (BAS; sensitive to reward), with a specific focus on the BAS processes: Reward Interest, Goal-Drive Persistence, Reward Reactivity and Impulsivity, and the Fight-Flight-Freeze System (FFFS; sensitive to punishment). It was hypothesised that young male and female drivers with stronger BAS traits would report lower risk perceptions towards speeding behaviour than those with weaker BAS traits and this risk perception would predict greater intentions to exceed the posted speed limit in 60 km/hr zones. It was further hypothesised that young male and female drivers with stronger FFFS traits would report higher risk perceptions towards speeding behaviour than those with weaker FFFS traits and this risk perception would predict lower intentions to exceed the posted speed limit in 60 km/h zones. Participants were 367 young licensed Australian drivers aged between 17 and 25 years. The results of a mediation analyses showed that females with stronger Impulsivity had low perceptions of risk and higher intentions to speed than participants with weaker Impulsivity. Further, males with stronger Goal-Drive Persistence and reported higher perceptions of risk and lower intentions to speed than participants with weaker Goal-Drive Persistence. Contrary to expectations, the BAS processes of Reward Interest and Reward Reactivity, and the FFFS were not significant. The findings contribute to the theoretical understanding of how the r-RST traits, specifically Goal-Drive Persistence and Impulsivity may influence speeding behaviour as well as the understanding of the unique influence of the four underlying BAS processes., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

This study applied the Prototype Willingness Model (PWM) to investigate the factors that may predict young drivers' (non-intentional) willingness to text while driving, text while stopped, and engage in high and low levels of speeding. In addition, the study sought to assess whether general optimism bias would predict young drivers' willingness to text and speed over and above the PWM. Licenced drivers (N = 183) aged 17-25 years (M = 19.84, SD = 2.30) in Queensland, Australia completed an online survey. Hierarchical multiple regressions revealed that the PWM was effective in explaining the variance in willingness to perform all four illegal driving behaviours. Particularly, young drivers who possessed favourable attitudes and a positive prototype perception towards these behaviours were more willing to engage in texting and speeding. In contrast to the study's predictions, optimistically biased beliefs decreased young drivers' willingness to text while stopped and engage in high and low levels of speeding. The findings of the study may help inform policy and educational campaigns to better target risky driving behaviours by considering the influence of attitudes, prototypes and the non-intentional pathway that may lead to engagement in texting while driving and stopped and engagement in high and low levels of speeding., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

This study applied the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to assess drivers' intended use of automated vehicles (AVs) after undertaking a simulated driving task. In addition, this study explored the potential for trust to account for additional variance to the psychosocial factors in TPB and TAM. Seventy-four participants (51% female) aged between 25 and 64 years (M = 42.8, SD = 12.9) undertook a 20 min simulated experimental drive in which participants experienced periods of automated driving and manual control. A survey task followed. A hierarchical regression analysis revealed that TPB constructs; attitude toward the behavior, subjective norms, and perceived behavioral control, were significant predictors of intentions to use AV. In addition, there was partial support for the test of TAM, with ease of use (but not usefulness) predicting intended use of AV (SAE Level 3). Trust contributed variance to both models beyond TPB or TAM constructs. The findings provide an important insight into factors that might reflect intended use of vehicles that are primarily automated (longitudinal, lateral, and manoeuvre controls) but require and allow drivers to have periods of manual control., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Fixed and mobile speed cameras are an important element of enforcement initiatives designed to create a strong deterrent effect and improve road safety. Despite the widespread use of the technology and the need to create a strong deterrent effect, research has yet to determine if there is a relationship between levels of exposure to the devices and subsequent self-reported deterrent effects. As a result, licensed motorists (N=536; 51% female) in Queensland (Australia) were recruited to complete a questionnaire that measured exposure to speed cameras and associated offending behaviours. Data were analyzed utilising descriptive, bivariate and multivariate statistics. The key findings that emerged were: the sample reported a higher level of exposure to fixed cameras (even though there are more operational mobile cameras), younger males were most likely to speed and be observant of speed cameras and that perceived certainty of apprehension was the largest reported deterrent force. However, a positive (rather than negative) relationship was found between perceived camera exposure levels and speeding behaviours, which indicates a range of additional factors (both legal and non-legal factors as well as driving exposure levels) influence speed limit non-compliance. Furthermore, multivariate analysis revealed that higher levels of perceptual certainty were associated with general speed compliance and perceptions of the severity and swiftness of sanctions, rather than levels of self-reported camera exposure. This paper is the first to reveal that while motorists prone to speed may be more cognisant of speed camera operations, this in itself does not ensure appropriate behaviour modification., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Utilizing the Classical Deterrence theory and Stafford and Warr's (1993) reconceptualized model of deterrence, the current study examined whether age, gender, and discounting the future tendencies influence perceptions of being apprehended for speeding offences. Licensed motorists (N=700; 57% female) in Queensland (Australia) were recruited to complete a self-report questionnaire that measured perceptual deterrence, speeding related behaviors and discounting the future tendencies. Data were analyzed utilizing descriptive, bivariate and multivariate regressions. Significant (albeit weak) positive correlations were found between age and perceptions of apprehension certainty. Males were significantly more likely to report higher incidences of speeding (including while avoiding detection) compared to females. In contrast, females were more likely to perceive high levels of apprehension certainty and consider impending penalties to be more severe. At a multivariate level, discounting the future tendencies (in addition to being male, reporting lower levels of perceptual severity and swiftness, and more instances of punishment avoidance) were predictive of lower perceptual certainty levels. This study is one of the first to reveal that being male and having a tendency to discount the consequences of the future may directly influence drivers' perceptual deterrence levels., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Using Gray and McNaughton's (2000) revised reinforcement sensitivity theory (r-RST), we examined the influence of personality on processing of words presented in gain-framed and loss-framed anti-speeding messages and how the processing biases associated with personality influenced message acceptance. The r-RST predicts that the nervous system regulates personality and that behaviour is dependent upon the activation of the behavioural activation system (BAS), activated by reward cues and the fight-flight-freeze system (FFFS), activated by punishment cues. According to r-RST, individuals differ in the sensitivities of their BAS and FFFS (i.e., weak to strong), which in turn leads to stable patterns of behaviour in the presence of rewards and punishments, respectively. It was hypothesised that individual differences in personality (i.e., strength of the BAS and the FFFS) would influence the degree of both message processing (as measured by reaction time to previously viewed message words) and message acceptance (measured three ways by perceived message effectiveness, behavioural intentions, and attitudes). Specifically, it was anticipated that, individuals with a stronger BAS would process the words presented in the gain-frame messages faster than those with a weaker BAS and individuals with a stronger FFFS would process the words presented in the loss-frame messages faster than those with a weaker FFFS. Further, it was expected that greater processing (faster reaction times) would be associated with greater acceptance for that message. Driver licence holding students (N=108) were recruited to view one of four anti-speeding messages (i.e., social gain-frame, social loss-frame, physical gain-frame, and physical loss-frame). A computerised lexical decision task assessed participants' subsequent reaction times to message words, as an indicator of the extent of processing of the previously viewed message. Self-report measures assessed personality and the three message acceptance measures. As predicted, the degree of initial processing of the content of the social gain-framed message mediated the relationship between the reward sensitive trait and message effectiveness. Initial processing of the physical loss-framed message partially mediated the relationship between the punishment sensitive trait and both message effectiveness and behavioural intention ratings. These results show that reward sensitivity and punishment sensitivity traits influence cognitive processing of gain-framed and loss-framed message content, respectively, and subsequently, message effectiveness and behavioural intention ratings. Specifically, a range of road safety messages (i.e., gain-frame and loss-frame messages) could be designed which align with the processing biases associated with personality and which would target those individuals who are sensitive to rewards and those who are sensitive to punishments., (Copyright © 2012 Elsevier Ltd. All rights reserved.)