Provisional drivers' perceptions of the impact of displaying P plates.

OBJECTIVE: P plates (or decals) identify a driver's license status to other road users. They are a compulsory part of the graduated driver licensing system in Queensland, Australia, for drivers on a P1 (provisional 1) or P2 (provisional 2) license. This study explored the perceptions of young drivers regarding the display of P plates (decals) in Queensland, Australia. METHODS: In this study, 226 young drivers with a provisional (intermediate/restricted) license completed a 30-min online survey between October 2013 and June 2014. t Tests were used to compare the opinions of people who displayed their plates nearly always with those who displayed them less frequently. RESULTS: Participants approved of the requirement to display P plates with 69% of those on a P1 license and 79% on a P2 license supporting the condition to display P1 (red) plates. Participants on a P1 license (62%) and a P2 license (68%) also approved the requirement to display P2 (green) plates. However, young drivers also perceived that the display of P plates (measured from 1 = never to 5 = nearly all the time) enabled newly licensed drivers to be targeted by police and other drivers (those who do not always display P plates: M = 3.72, SD = 0.94; those who nearly always display P plates: M = 3.43, SD = 1.09). CONCLUSIONS: The study findings suggest that participants who nearly always display their P plates are more likely to report that having to display their plates resulted in them driving more carefully.

Older drivers' crashes in Queensland, Australia.

BACKGROUND: The growing proportion of older adults in Australia is predicted to comprise 23% of the population by 2030. Accordingly, an increasing number of older drivers and fatal crashes of these drivers could also be expected. While the cognitive and physiological limitations of ageing and their road safety implications have been widely documented, research has generally considered older drivers as a homogeneous group. Knowledge of age-related crash trends within the older driver group itself is currently limited. OBJECTIVE: The aim of this research was to identify age-related differences in serious road crashes of older drivers. This was achieved by comparing crash characteristics between older and younger drivers and between sub-groups of older drivers. Particular attention was paid to serious crashes (crashes resulting in hospitalisation and fatalities) as they place the greatest burden on the Australian health system. METHOD: Using Queensland Crash data, a total of 191,709 crashes of all-aged drivers (17-80+) over a 9-year period were analysed. Crash patterns of drivers' aged 17-24, 25-39, 40-49, 50-59, 60-69, 70-79 and 80+ were compared in terms of crash severity (e.g., fatal), at fault levels, traffic control measures (e.g., stop signs) and road features (e.g., intersections). Crashes of older driver sub-groups (60-69, 70-79, 80+) were also compared to those of middle-aged drivers (40-49 and 50-59 combined, who were identified as the safest driving cohort) with respect to crash-related traffic control features and other factors (e.g., speed). Confounding factors including speed and crash nature (e.g., sideswipe) were controlled for. RESULTS AND DISCUSSION: Results indicated that patterns of serious crashes, as a function of crash severity, at-fault levels, road conditions and traffic control measures, differed significantly between age groups. As a group, older drivers (60+) represented the greatest proportion of crashes resulting in fatalities and hospitalisation, as well as those involving uncontrolled intersections and failure to give way. The opposite was found for middle-aged drivers, although they had the highest proportion of alcohol and speed-related crashes when compared to older drivers. Among all older drivers, those aged 60-69 were least likely to be involved in or the cause of crashes, but most likely to crash at interchanges and as a result of driving while fatigued or after consuming alcohol. Drivers aged 70-79 represented a mid-range level of crash involvement and culpability, and were most likely to crash at stop and give way signs. Drivers aged 80 years and beyond were most likely to be seriously injured or killed in, and at-fault for, crashes, and had the greatest number of crashes at both conventional and circular intersections. Overall, our findings highlight the heterogeneity of older drivers' crash patterns and suggest that age-related differences must be considered in measures designed to improve older driver safety.

Facebook tells me so: applying the theory of planned behavior to understand partner-monitoring behavior on Facebook.

The social networking site (SNS) Facebook is becoming increasingly recognized as a medium through which individuals can investigate and monitor others' activities. However, little is known about whether Facebook monitoring behavior occurs within romantic relationships and, accordingly, the psychological predictors of this behavior. The present study employed an extended theory of planned behavior (TPB) framework including self-esteem, partner trust, and demographic characteristics, to predict frequent Facebook partner-monitoring. Facebook users (N=244) in romantic relationships completed measures assessing the standard TPB constructs (attitude, subjective norm, and perceived behavioral control), additional predictor variables (self-esteem and partner trust), and demographic characteristics (age, gender, relationship length, daily Facebook logins, and time spent per login). One week later, participants reported their level of Facebook partner-monitoring during the previous week. Regression analyses supported the standard TPB constructs of attitude and subjective norm in predicting intentions to engage in frequent Facebook partner-monitoring, with intention, in turn, predicting behavior. Partner trust, but not self-esteem, significantly predicted frequent Facebook partner-monitoring intentions. Of the demographic characteristics, daily Facebook logins significantly predicted both intention and behavior and, unexpectedly, relationship length directly affected behavior. Overall, the current study revealed that frequent Facebook partner-monitoring is influenced by attitudinal, normative, and relational factors and, potentially, increased visits to Facebook. These findings provide a new understanding of an individual's use of the world's leading SNS to monitor their partner's activities and provide a foundation for future studies to investigate the potential negative implications this activity may have for those in romantic relationships.