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Traffic offences have been considered an important predictor of crash involvement, and have often been used as a proxy safety variable for crashes. However the association between crashes and offences has never been meta-analysed and the population effect size never established. Research is yet to determine the extent to which this relationship may be spuriously inflated through systematic measurement error, with obvious implications for researchers endeavouring to accurately identify salient factors predictive of crashes. Studies yielding a correlation between crashes and traffic offences were collated and a meta-analysis of 144 effects drawn from 99 road safety studies conducted. Potential impact of factors such as age, time period, crash and offence rates, crash severity and data type, sourced from either self-report surveys or archival records, were considered and discussed. After weighting for sample size, an average correlation of r = .18 was observed over the mean time period of 3.2 years. Evidence emerged suggesting the strength of this correlation is decreasing over time. Stronger correlations between crashes and offences were generally found in studies involving younger drivers. Consistent with common method variance effects, a within country analysis found stronger effect sizes in self-reported data even controlling for crash mean. The effectiveness of traffic offences as a proxy for crashes may be limited. Inclusion of elements such as independently validated crash and offence histories or accurate measures of exposure to the road would facilitate a better understanding of the factors that influence crash involvement.

Young drivers are over-represented in crashes involving excess speed, with driving inexperience a known contributing factor, but not always accounted for in research investigations. This project aimed to systematically review literature on factors contributing to young novice drivers\" travel speeds. Two authors searched four databases: Embase, Scopus, transportation research information database and web of science. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed to select speed-related studies of drivers who were both young (aged 15-24 years) and novices (newly-licensed). Included studies examined factors directly or indirectly associated with travel speed in the \"everyday\" driving of passenger car-type vehicles, published in English in years 2012-2022. Of 2680 records, removing duplicates and screening resulted in 106 eligible studies, from which 26 were selected, and rated mostly of strong or moderate quality. Factors associated with driving too fast included factors relating to the individual young driver: lower global cognitive functioning, higher impulsivity and risk propensity, alcohol use, and perceptions of police speed enforcement methods as unjust. Additional social factors were having risky friends (generally), driving with passengers (adults or peers), driver-passenger mood, and some phone use. Driving environment factors were inner urban and highway settings, rural roads close-to-home and clear weather. Lower speeds were associated with hazard perception training, a

We investigate whether greater economic insecurity increases distrust in government and fosters authoritarian politics. Using the 2016 American National Election Studies dataset, we build on the literature regarding “egotropic\" and “sociotropic\" economic concerns to distinguish between “micro\" insecurity (perceived insecurity regarding the individual’s own personal economic well-being), and “macro\" insecurity (negative expectations concerning the macro economy). Our results suggest micro insecurity is not significantly correlated with attitudinal differences, but macro-level insecurity is associated with increased levels of political distrust, accompanied by greater authoritarianism. Greater macro-level insecurity is also associated with more negative feelings toward “out-groups\" (e.g. Muslims, the LGBTQ+ community, feminists, immigrants) and was a key predictor in reduced affinity for Hillary Clinton and the rise in support for Donald Trump. Results are robust to controls for political affiliation and aggregate macroeconomic indicators, suggesting that rising levels of income inequality and weakening social safety nets increase political polarization and encourage xenophobia, racism, and homophobia.

The objective of the research was to explore the role of psychological distress in the self-reported risky driving of young novice drivers. A cross-sectional online survey incorporating Kessler's Psychological Distress Scale and the Behaviour of Young Novice Drivers Scale was completed by 761 tertiary students aged 17-25 years with an intermediate (Provisional) driving licence in Queensland, Australia, between August and October 2009. Regression analyses revealed that psychological distress uniquely explained 8.5% of the variance in young novices' risky driving, with adolescents experiencing psychological distress also reporting higher levels of risky driving. Psychological distress uniquely explained a significant 6.7% and 9.5% of variance in risky driving for males and females respectively. Medical practitioners treating adolescents who have been injured through risky behaviour need to be aware of the potential contribution of psychological distress, while mental health professionals working with adolescents experiencing psychological distress need to be aware of this additional source of potential harm. The nature of the causal relationships linking psychological distress and risky driving behaviour are not yet fully understood, indicating a need for further research so that strategies such as screening can be investigated.

Using data envelopment analysis, we examine the efficiency of Canada's universal health care system by considering a set of labour (physicians) and capital (beds) inputs, which produce a level of care (measured in terms of health quality and quantity) in a given region. Data from 2013–2015 were collected from the Canadian Institute for Health Information regarding inputs and from the Canadian Community Health Survey and Statistics Canada regarding our output variables, health utility (quality) and life expectancy (quantity). We posit that variation in efficiency scores across Canada is the result of regional heterogeneity regarding socioeconomic and demographic disparities. Regressing efficiency scores on such covariates suggests that regional unemployment and an older population are quite impactful and associated with less efficient health care production. Moreover, regional variation indicates the Atlantic provinces (Newfoundland, Prince Edward Island, Nova Scotia, New Brunswick) are quite inefficient, have poorer economic prospects, and tend to have an older population than the rest of Canada. Oaxaca-Blinder decompositions suggest that the latter two factors explain about one-third of this efficiency gap. Based on our two-stage semi-parametric analysis, we recommend Canada adjust their transfer payments to reflect these disparities, thereby potentially reducing inequality in regional efficiency.