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https://www.selleckchem.com/products/sc-43.html In terms of the effectiveness of vehicle impoundment, among high-range offenders, re-offence rates for those who had their vehicle impounded were statistically significantly lower for all licence periods compared with offenders who did not have their vehicle impounded. There was evidence of an effect of impoundment on reducing speeding re-offence rates during the impoundment period as well as some evidence that the impact of licence suspension was greater for those who experienced impoundment. Given that vehicle impoundment is a sanction which aims to discourage and/or incapacitate drivers from engaging in on-road risk taking behaviour, in this case high-range speeding behaviour, the longer-term positive effects of this sanction may assist with the on-going effort to reduce on-road risk taking behaviours.The propensity score matching method has been used to estimate safety countermeasure (treatment) effects from observational crash data. Within the counterfactual framework, propensity score matching is used to balance the covariates between treatment and control groups. Recent studies in traffic safety research have demonstrated the strength of this method in reducing the bias caused by treatment site selection. However, several general issues associated with safety effect estimates may still influence the effectiveness and robustness of this method. In the present study, Bayesian methods were integrated into the propensity score matching method. Bayesian models are known for their ability to capture heterogeneity and modeling uncertainty. This may help mitigate unobserved variable effects in the roadway and crash data. Furthermore, the sampling-based algorithm used for Bayesian estimation yields more consistent estimates in small region analysis than estimates from frequentist modeling. In this study, a dataset that was used to evaluate the safety effects of the dual application of shoulder and centerline rumble strip

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