Examining driver injury severity in left-turn crashes using hierarchical ordered probit models.

CONCLUSIONS: The HOPIT model is applied to examine contributing factors of left-turn crashes and the corresponding injury severity, based on left-turn crash records from 2010 to 2017 in Utah. Eighteen significant factors of left-turn crash injury severity are identified in the overall dataset. In seasons rather than winter, the significant factors are almost the same as that of the entire year. In the winter, less significant factors and different patterns are found compared with the overall crashes. PMID: 33206565 [PubMed - as supplied by publisher]
Source: Traffic Injury Prevention - Category: Accident Prevention Authors: Tags: Traffic Inj Prev Source Type: research