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• Between 30–56 % of Australians view cyclists as less than 100 % fully human. • Posters using graphic design were more clear and memorable, but. • Posters showing cyclists in photos were more humanising than posters using graphics. • Campaigns portraying cyclists should take care in the design and portrayal of people on bikes. Although riding a bicycle is an efficient, healthy and sustainable mode of travel, in low-cycling countries there continues to be negative attitudes, harassment and aggression toward riders. Recent studies have found that part of this hostility could be due to dehumanization – the belief that cyclists are lesser humans. These beliefs are relatively common, yet we don't yet know how we could reduce or counteract dehumanizing beliefs. In this paper we hypothesize that a 'humanizing' ad campaign may improve attitudes and reduce dehumanization relative to 'non-humanizing' campaigns. Using a survey of cyclists and non-cyclists in the Australian Capital Territory, in this study we developed four version of a static campaign poster, portraying cyclists either from in front (humanizing) or behind (non-humanizing), as a photo (humanizing) or graphic design (non-humanizing). We found that posters using photographs were more humanizing than graphic design, but design had no effect on attitudes. However, photographic posters were seen as less clear, memorable and effective than graphic posters. Showing cyclists from the front vs. the back had no significant effect on dehumanization, attitudes or effectiveness. This study suggests that if the aim of a campaign is to humanize cyclists, that photographic images may help with this effort. Given the high baseline rates of dehumanizing beliefs among the population, it would be counter-productive if safety campaigns failed to humanize this group. [ABSTRACT FROM AUTHOR]

• More privately-owned and fewer shared e-scooters one year after introduction. • Illegal behaviour on shared e-scooters fell. • Compliance by owner riders remained high. • Overall e-scooter safety likely to have improved. Shared electric scooter (e-scooter) schemes debuted in US cities in 2017 and have spread to many cities worldwide. Rider inexperience and the inexperience of other road users in interacting with e-scooters may be contributing to injuries. Shared e-scooters came to Brisbane, Australia, in November 2018 and our observational study in February 2019 found a high level of non-compliance with regulations by riders of shared, but not private, e-scooters. This paper examines whether e-scooter safety improved over time by comparing the numbers and behaviors of shared and private e-scooter riders with a follow-up observational study conducted in October 2019. Riders of e-scooters (and bicycles) were counted at six sites in inner-city Brisbane by trained observers over four weekdays. Type of e-scooter (private, Lime, Neuron), helmet use, gender, age group, riding location, time of day and presence of passengers were recorded. The number of shared e-scooters observed dropped from 711 in February to 495 in October but the number of private e-scooters increased from 90 to 269, resulting in a slight reduction in the total number of e-scooters. The correct helmet wearing rate increased non-significantly from 61.4% to 66.8% for shared e-scooters and remained high for riders of private e-scooters (95.5% in February and 94.3% in October). The percentage of e-scooters ridden on the road (which is illegal in central Brisbane) remained roughly the same (shared: 6.6% in February, 4.2% in October; private: 4.5% in February, 4.9% in October). The percentage of children and adolescents (illegally) riding shared e-scooters fell from 10.3% to 6.7%. The prevalence of any of these illegal behaviors among shared e-scooter riders fell significantly for shared e-scooter riders from 49.6% to 39.1% while the prevalence of illegal behaviors by other riders remained lower and did not change. The reduction in illegal behavior among shared e-scooter riders accompanied by the tripling of usage of private e-scooters suggests that e-scooter safety is likely to have improved. [ABSTRACT FROM AUTHOR]

• Illegal behaviours were more prevalent among shared than private e-scooter riders. • Lower helmet wearing on shared e-scooters and bicycles than private bicycles. • More than 90 % compliance with requirement to ride e-scooters on the footpath. • Conflict rates were low despite 40 % riders within 1 m of pedestrians. Electric scooter (e-scooter) use has increased internationally, with concerns about injuries to riders and pedestrians, and reports of non-use of helmets, excessive speed, drink-riding and underage riding. E-scooter regulations vary widely among jurisdictions, with likely effects on the extent and nature of safety issues. This study was conducted in downtown Brisbane, Australia, where e-scooters must be ridden on the footpath, bicycles are allowed on the road and the footpath, and helmet use is mandatory for bicycle and e-scooter riders of all ages. It examined involvement in illegal and risky behaviours, and interactions with pedestrians. Shared and private e-scooters, and shared and private bicycles were compared to assess the relative influences of type of vehicle and shared use. Observations at six sites in downtown Brisbane in February 2019 recorded 711 shared e-scooters, 90 private e-scooters, 274 shared bicycles and 2788 private bicycles. Illegal riding (not wearing a helmet, riding on the road, or carrying a passenger) was more prevalent among shared than private e-scooters (49.6 % vs. 12.2 %). Non-use of helmets was more common among riders of shared e-scooters (38.6 %, OR = 20.995, p <.001) and shared bicycles (18.8 %, OR = 10.994, p <.001) than private bicycles (1.5 %); occurred more often on the footpath than the road (20.1 % vs. 1.8 %, OR = 3.004, p <.001); and occurred more between 2 and 4 pm than between 7 and 9a.m. (21.3 % vs. 5.5 %, OR = 1.711, p <.01). More than 90 % of e-scooters, about half of shared bicycles and about a quarter of private bicycles were ridden on the footpath, with about 40 % within 1 m of at least one pedestrian. When there were pedestrians within 1 m, conflict rates ranged from zero to 1.5 % and no collisions were observed. At least for helmet non-use, the results suggest that risky behaviours are more prevalent among users of shared schemes, and that this difference is accentuated for e-scooters. Interactions with pedestrians are common but conflicts rarely occur in footpath riding. Further observational and survey studies are recommended to better understand the factors influencing the perceptions and behaviours of shared and private e-scooters and pedestrians. The knowledge gained from these studies needs to be integrated with injury outcome data to determine the appropriateness of rules for maximum speeds and locations of riding in terms of both rider and pedestrian safety. [ABSTRACT FROM AUTHOR]

• Applied the Theory of Planned Behaviour to explore motorcycle riders' beliefs of ARAS. • Self-reported knowledge of ARAS differed depending on system. • Reported advantages of ARAS included safety and benefits to new riders. • Reported disadvantages of ARAS included reliance, loss of skill, and false sense of security. • Ongoing research and development are required to evaluate and improve ARAS. The study applied the Theory of Planned Behaviour (TPB) to explore motorcycle riders' underlying behavioural, normative, and control beliefs towards Advanced Rider Assistance Systems (ARAS). Each belief was explored in terms of three categories of technologies, (i) advanced technologies that help riders manage riding according to situations and conditions, (ii) advanced technologies that help riders to stop, and (iii) advanced technologies that help riders to corner. Eight focus groups were conducted with 39 motorcycle riders (M age = 44.54 years, 27 males) who resided in Australia. First, participants completed a short online questionnaire which asked demographic information (e.g., age, gender, riding experience), before taking part in a 50-minute semi-structured online focus group. Participants' knowledge of ARAS differed depending on the type of technology, with most participants reporting good to excellent knowledge of cruise control and standard anti-lock braking system (ABS) and a poor to fair understanding of selectable riding modes and cornering ABS. For behavioural beliefs, two common advantages reported for all three categories of technologies were safety and that the technologies would benefit new riders or riders with less experience. The three common disadvantages included concerns over riders' reliance on the technologies, cost, and loss of skill or false sense of security. For normative beliefs, participants reported that their loved ones (i.e., partner, family, and friends) would approve of them using these technologies, with participants perceiving that 'purists' (i.e., riders who prefer to ride traditional motorcycles) would disapprove. For control beliefs, cost, lack of information on the safety of advanced technologies, and not being able to switch off systems were reported as barriers to use. Lowering insurance premiums, education/test rides, technologies as selectable options, and availability, were all identified as factors that would encourage use of ARAS. By providing information about ARAS, riders will become more informed about ARAS, which may enhance trust and user acceptance. Additionally, ongoing research and development are essential to ensure the evaluation and improvement of ARAS and mitigate any unintended consequences. [ABSTRACT FROM AUTHOR]

Abstract Introduction: Drivers' passing cyclists closely can contribute to crashes, falls, and intimidation, which may discourage cycling. In response, minimum passing distance (MPD) rules have been introduced in many jurisdictions. This study examined the factors associated with non-compliance with a MPD rule. Method : An online survey of 3,769 drivers in Queensland, Australia was administered 1 year after a MPD rule began. It assessed compliance with and attitudes toward the rule. Linear regression modeling was used to examine which attitudinal and demographic factors were associated with non-compliance. Results : The percentage of drivers who reported that they did not comply with the road rule "most of the time" or "almost always" was 35.5% in speed zones of ≤ 60 km/h and 31.8% in speed zones of > 60 km/h. Associated with a greater likelihood of being non-compliant were: only infrequently observing motorists giving bicycle riders more distance when overtaking; greater awareness of bicycle riders when driving on the road; disagreeing that the rule had changed the person's driving; agreeing that the rule was making overtaking bicycle riders difficult; disagreeing that the rule had made it safer for bicycle riders; agreeing that it was difficult to judge 1 or 1.5 m when overtaking a bicycle rider; and agreeing that giving 1.5 m clearance in > 60 km/h zones to bicycle riders was annoying (p <.05). In high speed zones, drivers aged 18–39 years were more likely than those aged 50 + years to be non-compliant (p <.05). Compliance was not associated with driver sex, amount of driving, or perceived level of enforcement. Conclusions : Reported non-compliance with the MPD rule is widespread and is related more to attitudinal than demographic factors. Practical applications : Strategies for helping drivers to judge passing distance and improve their understanding of the importance for cyclist safety of leaving an adequate distance are needed. Highlights • Passing cyclists too closely can lead to crashes, falls, and fear of cycling. • Almost half of the drivers reported not complying with MPD rule. • Non-compliance is related more to attitudinal than demographic factors. • No influence of driver sex, amount of driving or perceived level of enforcement. • Strategies are needed to help drivers judge and understand passing distance. [ABSTRACT FROM AUTHOR]

Many jurisdictions around the world have implemented laws to require a minimum distance when motor vehicles pass cyclists, but research into the factors influencing passing distances has produced inconsistent results, indicating the need for future research. This study examined the factors influencing motorists’ compliance with a legislated bicycle passing distance rule in Queensland, Australia. Unlike the earlier studies, which used volunteer riders to record passing events, this study used a naturalistic study design to record passing events where none of the motorists or the cyclists were aware of being studied. As a result, this study captured the ‘true’ driving and riding behaviours during passing events. The likelihood of non-compliance was greater on higher (70–80 km/h speed limits) and lower (40 km/h) speed roads than 60 km/h roads, at curved road sections, and on roads with narrower traffic lanes. Rider characteristics (age, gender, helmet status, type of clothing, type of bicycle, and individual or group riding) had no statistically significant association with compliance status. The findings indicate that efforts to improve cyclist safety during overtaking events should focus on non-rider related factors, such as roadway infrastructure characteristics. [ABSTRACT FROM AUTHOR]

Mandatory bicycle helmet laws have been found to increase helmet wearing rates in Australia and internationally. However, much of the research on factors influencing compliance with the Australian helmet laws is dated or focuses on commuters and city areas only. To address this gap, video recordings of bicycle riders were undertaken at 17 sites across Queensland, Australia, representing a mixture of on- and off-road locations, speed limits and regions. Helmet status was able to be determined for 98% of riders observed. The level of compliance with the laws was very high, with 98.3% of the more than 27,000 riders observed wearing helmets. Riders riding on roads were less compliant than those riding on bicycle paths, but no significant differences were observed between the school-holiday and school-term periods. Among the on-road riders, boys were less compliant than girls and overall children were less compliant than adults. Higher compliance levels were found for group riders, road bike riders, lycra-clad riders, during morning hours, and on 50 km/h or lower speed limit roads. While the overall level of compliance was very high, certain subgroups were identified as a possible focus for interventions to further improve the compliance level, for example children (particularly boys) riding mountain bikes away from groups during the afternoon hours on 60 km/h roads. [ABSTRACT FROM AUTHOR]

Abstract: 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. [Copyright &y& Elsevier]