This exploratory multivariate analysis technique This study utilized multipleĬorrespondence analysis (MCA) on 9 years (2010 to 2018) of at-fault, underage (aged 15 to 20 years), alcohol-intoxicatedĭriver crashes in Louisiana to investigate hidden crash attribute patterns. Occurred every year in the United States, which is a huge cause for concern for roadway safety. In addition, the study outcomes can assist practitioners and policymakers in developing different safety improvement strategies to reduce the causalities associated with teen driver crashes in distinct circumstances.ĭespite the zero tolerance and minimum legal drinking age laws since 1999, crashes caused by underage drinking drivers have Such contextual understandings of underlying risk factors can help to strengthen the existing teen driver educational interventions. The results of latent class segmented sub-models represent real-world crash patterns demonstrating the cumulative effect of variable attributes. The findings suggested that the significance and estimated impact of variables varied within clusters and between crash severity levels in the same cluster.

Marginal effects were computed to understand the impacts of variable categories better. Then, multinomial logit models were constructed to illustrate the significant risk factors influencing the severity outcomes in different crash scenarios. This research first applied latent class clustering to minimize the heterogeneity in the extracted dataset by dividing the entire data into meaningful clusters (subgroups of the whole data). Three years (2017-2019) of police-investigated crash information was used for the entire state of Alabama.

This study aimed to analyze teen driver crashes to investigate the heterogeneous effect of contributing factors on crash severity outcomes. Strategic employment of countermeasures effectively. Therefore, substantial exploration of teen driver crashes is expected to facilitate the Studies have explored significant variations in the effect of risk attributes contributing to teen driver collisions in multiple crash circumstances by degrees of crash severity. Teen drivers remain one of the most long-standing traffic safety concerns, as theyĬontinue to be over-represented in the fatal and injury crash statistics.

000 kelly driver improvement