Can anti-speeding messages based on protection motivation theory influence reported speeding intentions?

The study investigated the effects of anti-speeding messages based on protection motivation theory (PMT) components: severity, vulnerability, rewards, self-efficacy, response efficacy, and response cost, on reported speeding intentions. Eighty-three participants aged 18–25 years holding a current Australian driver's license completed a questionnaire measuring their reported typical and recent speeding behaviors. Comparisons were made between 18 anti-speeding messages used on Australian roads and 18 new anti-speeding messages developed from the PMT model. Participants reported their reactions to the 36 messages on the perceived effectiveness of the message for themselves and for the general population of drivers, and also the likelihood of themselves and other drivers driving within the speed limit after viewing each message. Overall the PMT model-derived anti-speeding messages were better than jurisdiction-use anti-speeding messages in influencing participants’ reported intention to drive within the speed limit. Severity and vulnerability were the most effective PMT components for developing anti-speeding messages. Male participants reported significantly lower intention to drive within the speed limit than did female participants. However, males reported significantly higher intention to drive within the speed limit for PMT-derived messages compared with jurisdiction-based messages. Third-person effects were that males reported anti-speeding messages to be more effective for the general driving population than for themselves. Females reported the opposite effect – that all messages would be more effective for themselves than for the general driving population. Findings provided support for using a sound conceptual basis as an effective foundation for anti-speeding message development as well as for evaluating proposed anti-speeding messages on the target driver population.     

A perceptual map for understanding concern about unsafe driving behaviours

The objective of this paper is to develop a model that can help explain the public's level of concern associated with six dangerous driving behaviours (drinking and driving, speeding, distracted driving, using a cell phone while driving, fatigued or drowsy driving, and using illegal drugs while driving). Understanding the genesis of concern can be useful in addressing it and leveraging it to improve safe driving. Building on a risk perception model that was developed previously, the study investigated the relationship between the level of concern about the unsafe driving behaviours and the perceived level of concern of others about the dangerous driving behaviours, the perception of the prevalence of the dangerous driving behaviours, the perception of the level of risk imposed by these dangerous driving behaviours, and the perception of the severity of injuries that can result from them. Data from two independent samples were modeled using multidimensional scaling and logistic regression analysis. Both samples come from telephone surveys; one was administered to a random sample of 750 drivers in the province of Ontario, Canada in November 2006, the other to a random sample of 1201 drivers across Canada in September 2006. Two dimensions in particular were found to fit the data well: perceived risk and the perceived level of concern of others. The results from these analyses are summarized using a perceptual map. The relevance of such a map is illustrated by explaining the factors that impact levels of concern regarding several of the unsafe driving behaviours.     

Influence of traffic enforcement on the attitudes and behavior of drivers

Traditionally, traffic enforcement has been an important means of improving traffic safety. Many studies have provided evidence of connections between the level of police enforcement and both driving behavior and the number of traffic accidents. In Northern Kosovo, there has been little, if any, traffic enforcement during the last 13 years. This situation has created a very rare research opportunity – it is now possible to directly study the influence of traffic enforcement on the attitudes and behavior of drivers by comparing two regions, one with traffic enforcement and one without it (Serbia vs. Northern Kosovo). The sample in the present study consisted of 424 drivers (204 from Serbia and 220 from Northern Kosovo). Questionnaires included items about the behaviors of the drivers (e.g., speeding, seat belt, drunk driving) and their attitudes. We also conducted field observations of driving behavior. The results indicated that the lack of enforcement affects almost every type of behavior that we examined. Compared with drivers in Serbia, drivers in Northern Kosovo drive faster, exceed speed limits more frequently, use seat belts less frequently, drive after exceeding the legal limit for alcohol more often, commit aggressive and ordinary violations more frequently and are generally involved in more risky situations.     

Invulnerability and the intention to drink and drive: An application of the theory of planned behavior

The present study aims at an examination, based on the theory of planned behavior (TPB), of the psychological antecedents of young Chinese people's intentions to drive after drinking. One hundred and twenty-four licensed drivers (aged from 19 to 35 years) successfully completed an online questionnaire. Using path analysis, we found the most proximal predictors of intention to be attitudes and perceived behavioral control, whereas invulnerability as well as subjective norms indirectly influenced intention by promoting favorable attitudes toward and greater perceived behavioral control over driving after alcohol use. The total explained variances in the intention to drink and drive reached 79%. The present findings highlight irrational beliefs of invulnerability and the three TPB components as potentially valid targets for prevention and intervention efforts against drinking and driving among young Chinese drivers.     

Traffic violations in Guangdong Province of China: Speeding and drunk driving

The number of speeding- and drunk driving-related injuries in China surged in the years immediately preceding 2004 and then began to decline. However, the percent decrease in the number of speeding and drunk driving incidents (decrease by 22%) is not proportional to the corresponding percent decrease in number of automobile accident-related injuries (decrease by 47%) from the year 2004 to 2010 (Traffic Management Bureau, Ministry of Public Security, Annual Statistical Reports on Road Traffic Accidents). Earlier studies have established traffic violations as one of the major risks threatening road safety. In this study, we examine in greater detail two important types of traffic violation events, speeding and drunk driving, and attempt to identify significant risk factors associated with these types of traffic violations. Risk factors in several different dimensions, including driver, vehicle, road and environmental factors, are considered. We analyze the speeding (N = 11,055) and drunk driving (N = 10,035) data for the period 2006–2010 in Guangdong Province, China. These data, obtained from the Guangdong Provincial Security Department, are extracted from the Traffic Management Sector-Specific Incident Case Data Report and are the only comprehensive and official source of traffic accident data in China. Significant risk factors associating with speeding and drunk driving are identified. We find that several factors are associated with a significantly higher probability of both speeding and drunk driving, particularly male drivers, private vehicles, the lack of street lighting at night and poor visibility. The impact of other specific and unique risk factors for either speeding or drunk driving, such as hukou, road type/grades, commercial vehicles, compulsory third party insurance and vehicle safety status, also require particular attention. Legislative or regulatory measures targeting different vehicle types and/or driver groups with respect to the various driver, vehicle, road and environmental risk factors can subsequently be devised to reduce the speeding and drunk driving rates. As the country with the highest number of traffic accident fatalities in the world, applying these findings in workable legislation and enforcement to reduce speeding and drunk driving rates will save tens of thousands of lives.     

The effect of stress and personality on dangerous driving behavior among Chinese drivers

The relationship between stress and road safety has been studied for many years, but the effect of global stress and its joint effect with personality on driving behavior have received little attention in previous studies. This study aimed to elucidate the impact of global stress and various personality traits on driving behavior. 242 drivers completed the Perceived Stress Scale-10 (PSS-10), the Dula Dangerous Driving Index (DDDI), and several personality trait scales related to anger, sensation seeking, and altruism. The results showed that perceived stress and sensation seeking were significantly correlated with the four subcategories of dangerous driving behavior, namely, negative cognitive/emotional driving (NCED), aggressive driving (AD), risky driving (RD), and drunk driving (DD). Moreover, anger was positively correlated with negative cognitive/emotional driving, aggressive driving, and risky driving, and altruism was negatively correlated with aggressive driving and drunk driving. Hierarchical multiple regressions were applied to analyze the mediating effect of personality traits, and the results showed that anger mediated the relationship between stress and dangerous driving behavior and that this mediating role was especially strong for negative cognitive/emotional driving and aggressive driving. Collectively, the results showed that stress is an important factor that can affect people's driving behavior but that personality traits mediate the effect of stress on driving behavior. The findings from this study regarding the relationship among stress, anger, and dangerous driving behavior could be applied in the development of intervention programs for stress and anger management in order to improve drivers’ ability to manage emotional thoughts and adjust their behavior on the road.     

The importance of self-regulatory and goal-conflicting processes in the avoidance of drunk driving among Greek young drivers

The present study examined self-regulatory and goal-conflicting processes in the avoidance of drunk driving among Greek young drivers. A total of 361 university students in Greece completed a questionnaire, using a retrospective cross-sectional survey design. One-third reported to have driven under the influence of alcohol. Although prior intentions were clearly related to actual avoidance of drunk driving, one out of five respondents had not complied with their intention. An examination of post-intentional correlates of avoidance of drunk driving among positive intenders showed that avoidance of drunk driving was positively related to alcohol limitation plans and alcohol limitation self-efficacy, whereas negative relations were found for goal conflict and behavioural willingness. The present study suggests that people should not only be motivated but also be equipped with self-regulatory strategies aiming at the avoidance of drinking. Finally, goal commitment should be enhanced by increasing the salience of the avoidance goal.     

How reinforcement sensitivity and perceived risk influence young drivers’ reported engagement in risky driving behaviors

Gray's reinforcement sensitivity theory (RST), implementing Carver and White's behavior inhibition system (BIS) and behavior approach system (BAS) scales, was used to predict reported engagement in 10 risky driving behaviors: speeding (2 levels), driving under the influence of alcohol, racing other vehicles, cell phone use (hand-held and hands free), tailgating, unsafe overtaking, driving while fatigued, and not wearing a seatbelt. Participants were 165 young male and female (n = 101) drivers aged 17–25 years who held a valid Australian driver's license. Effects of the explanatory variables and specific risk perceptions upon engagement in the reported risky driving behaviors were examined using SEM analyses. Also of interest was whether perceived risk mediated the relationship between the personality variables and reported engagement in risky driving behaviors. RST variables, negative reactivity, reward responsiveness and fun seeking, accounted for unique variance in young drivers’ perceived risk. Reward responsiveness and perceived risk accounted for unique variance in young drivers’ reported engagement in risky driving behaviors. Negative reactivity was completely mediated by perceived risk in its negative relationship with reported engagement. To better understand driving related risk decision making, future research could usefully incorporate drivers’ motivation systems. This has the potential to lead to more tailored approaches to identifying risk-prone drivers and provide information for the development and implementation of media campaigns and educational programs.     

Risk perception and impulsivity: association with risky behaviors and substance abuse disorders

Low risk perception and high impulsivity, in conjunction with substance abuse disorders, are associated with the occurrence of injury in the general population. The study described in this article investigated the association of risk perception and impulsivity with risky behaviors (infrequent seat belt use, drinking and driving, riding with a drunk driver, binge drinking, and speeding for the thrill) among adults with unintentional blunt trauma. Patients (N = 756) were assessed for substance abuse disorders and participation in risky behaviors. Risk perception and impulsivity were measured by questionnaire. Pearson's chi-square statistic was used to investigate risk perception, impulsivity, substance abuse, and possible confounders relative to risky behaviors. Odds ratios were calculated using logistic regression methodology. Univariate results indicated that low risk perception and high impulsivity were significant risk factors for risky behaviors. After adjustment for confounding factors, low risk perception and high impulsivity remained significantly associated with risky behaviors in the trauma patient population.     

The choice to text and drive in younger drivers: behavior may shape attitude

Following a previous study that reported a large number of young adult drivers text and drive, the current study investigated this behavior by looking at patterns of use and driver assessment of the risk of the behavior. The data from the current study converge with and extended the previous work showing 70% of the 348 young adult drivers surveyed report initiating texts while driving while higher numbers reply to texts (81%) and read texts (92%) while driving. Additional drivers also report doing these behaviors, but only while stopped in traffic, showing only 2% never text and drive under any circumstances. The drivers indicated that they perceived these behaviors to be very risky and riskier than talking on a cell phone while driving, but perception of risk was a very weak predictor of behavior (for initiating texts) or had no effect on texting (for replying or reading texts while driving). In addition, a factor analysis of the perception of road conditions while texting revealed that making the choice to engage in texting (initiating) led drivers to perceive road conditions as being safer than if they replied to a text or read a text, suggesting that choosing to engage in the behavior itself changes attitudes toward risk.     

Age and gender differences in risky driving: the roles of positive affect and risk perception

A phone survey of 504 teen (age 16–20) and 409 adult (age 25–45) drivers in the US state of Alabama was conducted to examine the relationships among risk perception, positive affect and risky driving. Male drivers reported engaging in risky driving behaviors more frequently than female drivers and teen drivers reported engaging in risky driving behaviors more frequently than adult drivers. Positive affect (liking for risky driving behaviors) and perceived risk mediated the relationships of age and gender with risky driving. Affect and risk perception were independent predictors of risky driving behavior. Interactions of positive affect and perceived risk with gender and age showed that positive affect more strongly predicted risky driving for teen and male drivers than for adult and female drivers. These findings are interpreted in the context of dual process models of behavioral decision making. Future research into interventions designed to moderate the positive affect surrounding driving may have promise for reducing risky driving behavior.     

Driving under the influence of distraction: Examining dissociations between risk perception and engagement in distracted driving

Driving while distracted is a critical and unwavering problem in the United States leading to numerous injuries and fatalities each year. While increasing legislation and developing technological interventions strive to ensure we only focus on driving, individuals still drive distracted. We surveyed college-aged adults to examine the factors that influence both their risk perception of driving while distracted and how often they engage in distracting activities and situations while driving. We found a disassociation between individuals’ perception of driving distraction risk and their engagement with the distraction. Exposure, perceived knowledge of risks, fairness beliefs, and ratings of perceived visual and cognitive demands was associated with risk perception. Conversely, risk-seeking traits, how voluntary the task was perceived, and previous exposure to a distraction influenced engagement. Overall, we recommend additional research focusing on factors that predict engagement in driver distraction rather than perceived risk alone.     

The effects of cycle lanes,vehicle to kerb distance and vehicle type on cyclists’ attention allocation during junction negotiation

Increased frequency of cycle journeys has led to an escalation in collisions between cyclists and vehicles, particularly at shared junctions. Risks associated with passing decisions have been shown to influence cyclists’ behavioural intentions. The current study extended this research by linking not only risk perception but also attention allocation (via tracking the eye movements of twenty cyclists viewing junction approaches presented on video) to behavioural intentions. These constructs were measured in a variety of contexts: junctions featuring cycle lanes, large vs. small vehicles and differing kerb to vehicle distances). Overall, cyclists devoted the majority of their attention to the nearside (side closest to kerb) of vehicles, and perceived near and offside (side furthest from kerb) passing as most risky. Waiting behind was the most frequent behavioural intention, followed by nearside and then offside passing. While cycle lane presence did not affect behaviour, it did lead to nearside passing being perceived as less risky, and to less attention being devoted to the offside. Large vehicles led to increased risk perceived with passing, and more attention directed towards the rear of vehicles, with reduced offside passing and increased intentions to remain behind the vehicle. Whether the vehicle was large or small, nearside passing was preferred around 30% of the time. Wide kerb distances increased nearside passing intentions and lower associated perceptions of risk. Additionally, relationships between attention and both risk evaluations and behaviours were observed. These results are discussed in relation to the cyclists’ situational awareness and biases that various contextual factors can introduce. From these, recommendations for road safety and training are suggested.     

The intention and willingness to pay moving violation citations among Taiwan motorcyclists

This study uses three-level scenario design and Spike model constructs to investigate the risk premium Taiwan motorcycle operators are willing to pay for moving violations. The primary focus of the investigation is on four types of moving violations including speeding, running red lights, right turn on red violations, and drunk driving. In the model, these four types of violations influence the willingness to pay a risk premium. The results show that, in addition to increasing enforcement, raising the level of fines is one of the most effective methods to influence levels of compliance. Estimated results through the Spike model show that speeders will accept a risk premium of NT$740 (US$1 = NT$30), while motorcycle operators who run red lights will accept a risk premium of NT$1100, motorcycle operators who turn right on red will accept a risk premium of NT$367, and motorcyclists who drive drunk will accept a risk premium of NT$18,540. This indicates that current fines in Taiwan could be raised.     

Identifying beliefs underlying pre-drivers’ intentions to take risks: An application of the Theory of Planned Behaviour

Novice motorists are at high crash risk during the first few months of driving. Risky behaviours such as speeding and driving while distracted are well-documented contributors to crash risk during this period. To reduce this public health burden, effective road safety interventions need to target the pre-driving period. We use the Theory of Planned Behaviour (TPB) to identify the pre-driver beliefs underlying intentions to drive over the speed limit (N = 77), and while over the legal alcohol limit (N = 72), talking on a hand-held mobile phone (N = 77) and feeling very tired (N = 68). The TPB explained between 41% and 69% of the variance in intentions to perform these behaviours. Attitudes were strong predictors of intentions for all behaviours. Subjective norms and perceived behavioural control were significant, though weaker, independent predictors of speeding and mobile phone use. Behavioural beliefs underlying these attitudes could be separated into those reflecting perceived disadvantages (e.g., speeding increases my risk of crash) and advantages (e.g., speeding gives me a thrill). Interventions that can make these beliefs safer in pre-drivers may reduce crash risk once independent driving has begun.     

Modeling drivers’ speed selection as a trade-off behavior

This paper proposes a new model of driver-preferred speeds derived from the assumption that drivers trade-off a portion of their safety for a time gain. The risk of receiving a ticket for speeding is also considered. A trip disutility concept is selected to combine the three components of speed choice (safety, time, and enforcement). The perceived crash risk and speed enforcement are considered as speed deterrents while the perceived value of a time gain is considered as a speed enticement. According to this concept, speeds that minimize the perceived trip disutility are preferred by drivers. The modeled trade-off behavior does not have to be fully rational since it is affected by drivers’ preferences and their ability to perceive the risk. As such, the proposed framework follows the concept of bound rationality.The attractiveness of the model lies in its parameters being estimable with the observed preferred speeds and then interpretable as the factors of risk perception, the subjective value of time, and the perceived risk of speed enforcement. The proposed method may successfully supplement behavioral studies based on a driver survey.The study focuses on four-lane rural and suburban roads in Indiana, USA. The behavior of two types of drivers (trucks and cars) is modeled. The selection of test sites was such that the roads and other local characteristics varied across the studied sites while the population of drivers could be assumed as the same. The density of intersections, land development along the road, and the presence of sidewalks were the identified prominent risk perception factors. Another interesting finding is that the speed limit seems to encourage slow drivers to drive faster and fast drivers to drive slower.     

Young male drinkers and impaired driving intervention: Results of a U.S. telephone survey

The present study examines the role of interveners in the driving behavior of a group of drivers at higher risk for involvement in a fatal, alcohol-related motor vehicle accident than the general population, based on their demographic characteristics. The sample consisted of men, aged 21–34 years, living in areas where alcohol-involved motor vehicle fatalities most commonly occur. More than one-half (55%) of these men reported having been the target of an intervention to prevent them from drinking and driving. The variables most strongly associated with having been the target of an intervention were: involvement in an accident after drinking; frequency of driving after drinking too much to drive safely; binge drinking; reporting that it takes ten or more drinks to feel drunk. Age, total alcohol consumption and the relationship between the target and the intervener predicted intervention success. Persons who have close relationships with drinking drivers, particularly wives/girlfriends, are most likely to be successful in preventing these men from drinking and driving. To the extent they can be encouraged to safely intervene, wives/girlfriends and close friends may be potential targets for messages promoting informal social control of drinking and driving.     

Hispanics, Blacks and White driving under the influence of alcohol: results from the 1995 National Alcohol Survey

OBJECTIVE: To report nationwide survey data on patterns of driving under the influence of alcohol among Whites, Blacks and Hispanics. METHOD: Data were obtained from a probability sample consisting of 1582 Blacks, 1585 Hispanics and 1636 Whites in the US household population. Interviews averaging 1 h in length were conducted in respondents' homes by trained interviewers. RESULTS: Self-reported rates of driving a car after having drunk enough 'to be in trouble if stopped by the police' were highest among White and Hispanic men (22 and 21%, respectively), as were lifetime arrest rates for driving under the influence of alcohol (13% for White men, 19% for Hispanic men). Additionally, our analyses suggest that drinkers who drive under the influence of alcohol are more likely to be men (regardless of ethnicity), consume more alcohol, and be alcohol dependent than drinkers who do not engage in alcohol-impaired driving.