Self-reported speed compliance and attitudes towards speeding in a representative sample of drivers in Australia

Stephens, Amanda; Nieuwesteeg, Michael; Page-Smith, J; Fitzharris, Michael

doi:10.1016/j.aap.2017.03.020

Cited by 47 publications

(47 citation statements)

References 9 publications

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“…Further surveys with larger sample sizes along with a larger group of experts would remove this limitation (e.g. Armstrong et al, 2013;Stephens et al, 2017). A useful future study would be to repeat the current study in all Australian states with larger survey and expert workshop sample sizes.…”

Section: Study Limitations and Areas For Further Researchmentioning

confidence: 98%

“…The reported engagement in speeding, driver distraction and driving while fatigued is similar to those found in recent Australian studies. In a survey study of Victorian drivers, 56% of participants reported exceeding the posted speed limit in one or more speed zones (Stephens et al, 2017). Previous research has also found that around 60% of drivers report having driven whilst using a mobile phone (Young and Lenné, 2010).…”

Section: Engagement In Behaviours Known To Lead To Crashesmentioning

confidence: 99%

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Bad behaviour or societal failure? Perceptions of the factors contributing to drivers' engagement in the fatal five driving behaviours

et al. 2019

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The so-called 'fatal five' behaviours (drink and drug driving, distraction and inattention, speeding, fatigue, and failure to wear a seat belt) are known to be the major behavioural contributory factors to road trauma. However, little is known about the factors that lead to drivers engaging in each behaviour. This article presents the findings from a study which collected and analysed data on the factors that lead to drivers engaging in each behaviour. This involved a survey of drivers'perceptions of the causes of each behaviour and a subject matter expert workshop to gain the views of road safety experts. The results were mapped onto a systems ergonomics model of the road transport system in Queensland, Australia, to show where in the system the factors reside. In addition to well-known factors relating to drivers' knowledge, experience and personality, additional factors at the higher levels of the road transport system related to road safety policy, transport system design, road rules and regulations, and societal issues were identified. It is concluded that the fatal five behaviours have a web of interacting contributory factors underpinning them and are systems problems rather than driver-centric problems.The implications for road safety interventions are discussed.

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Section: Study Limitations and Areas For Further Researchmentioning

confidence: 98%

Section: Engagement In Behaviours Known To Lead To Crashesmentioning

confidence: 99%

Bad behaviour or societal failure? Perceptions of the factors contributing to drivers' engagement in the fatal five driving behaviours

et al. 2019

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“…Identifying socio-demographic predictors of speeding behavior is an important first step for ascertaining a target population for intervention planning. A sizeable body of evidence from other countries, including the United States, Australia, China, and Israel, suggests that one of the most important predictors of speeding behavior is gender-males are more likely than females to speed on the road [10][11][12][13]. Several explanations for this gender difference have been examined.…”

Section: Introductionmentioning

confidence: 99%

Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand

et al. 2020

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Thailand has the highest road traffic fatality rate in Southeast Asia, making road safety a critical public health concern. A 2015 World Health Organization (WHO) Report showed that speeding behavior was the most important determinant for road traffic crashes in Thailand. Here, we aimed to examine associations of socio-demographic factors (gender, age, socioeconomic status) with self-reported motorcycle speeding behavior. Additionally, we examined a potential role of time discounting and risk preference as mediators in the association of socio-demographic factors with speeding. We used data obtained from the Mahasarakham University Social Network Survey 2018 (MSUSSS) (N = 150). We ran linear network autocorrelation models (lnam) to account for the data's social network structure. We found that males are more likely than females to engage in speeding behavior (β = 0.140, p = 0.001) and to discount the future (β = 5.175, p = 0.017). However, further causal mediation analysis showed that time discounting does not mediate the gender-speeding association (p for mediation = 0.540). Although socioeconomic status (subjective social class) was not associated with speeding (β = 0.039, p = 0.177), age was marginally associated with speeding (β = 0.005, p = 0.093). Future studies may consider using a larger sample.

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“…Road traffic accidents are a major contributing factor causing death among young people aged between 15 and 29 years, and it cost governments approximately 3% of the GDP [1]. Although the number of road traffic fatalities has decreased in the past few decades, this proportion has remained unchanged [2]. Therefore, the prevention of road traffic accidents of novice drivers is an important issue to ensure the safety of young peoples' lives and property.…”

Section: Introductionmentioning

confidence: 99%

Effects of Different Intervention Methods on Novice Drivers’ Speeding

et al. 2019

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The objective of this work is to examine the human response to different interventions to determine its direct intervention effect and education effect on the speeding of novice drivers. Several experiments, in which participants received different interventions when they were speeding, were conducted on the simulating driving system. The direct intervention effect of different intervention methods was measured by speed reduction and the education effect of voice intervention was measured by questionnaires. A total of 60 novice drivers and 20 experienced drivers were involved in this study, and the personality, gender and driving experience were considered in the analysis. We found that the steer wheel vibration has a significant influence on the intervention effect, but the lighting does not. The driving experience has more impact on the intervention effect of voice intervention with the Rational Style. While gender mainly influences the intervention effect of Emotional Style. The education effect of voice intervention designed with Emotional Style performs better than Rational Style. The personality from Eysenck Personality Questionnaire (EPQ) does not have a significant influence on the intervention effect. At last, a new driving style variable which can be calculated automatically from driving data was designed and the novel intervention strategy was proposed according to the research results. Our research provides a novel intervention strategy for drivers’ speeding behavior and gives an underlying insight into urban traffic safety, which is beneficial to ensure the safety, efficiency, and sustainability of the transportation system. It also serves as a reference for traffic safety research management agencies, the government, and the produced smart vehicles companies, providing guidance not limited to speeding intervention and aimed at improving other unsafe driving behavior.

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Self-reported speed compliance and attitudes towards speeding in a representative sample of drivers in Australia

Cited by 47 publications

References 9 publications

Bad behaviour or societal failure? Perceptions of the factors contributing to drivers' engagement in the fatal five driving behaviours

Bad behaviour or societal failure? Perceptions of the factors contributing to drivers' engagement in the fatal five driving behaviours

Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand

Effects of Different Intervention Methods on Novice Drivers’ Speeding

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