As the number and proportion of older adults (65 years and above) as well as older licensed drivers grows in North America, their susceptibility to fatal and injury traffic crashes increases due to natural aging. So, it is vital to study the determinants of older drivers’ involvement in traffic collisions. The main objective of this study is to identify the most significant contributing factors affecting the severity of traffic crashes involving older drivers. The data used in the analysis includes a 2014–2018 crash dataset that was obtained from Louisiana Department of Transportation and Development (LA DOTD). The logistic regression approach including interaction terms was used to investigate the impact of roads, vehicle, environment, and drivers’ factors. The interaction between these variables was also studied to identify potential contributors influencing the dependent variable. Crash severity measured in two classes of no injury, and injury/fatality. The findings of this study suggest that the significant factors affecting crash severity of older drivers in Louisiana are road characteristics (location of accident, road type, road alignment, and highway type), driving maneuvers (prior movement and lane departure), and drivers’ characteristics (driver condition and gender). Also, three significant interaction terms (alignment*lane, highway type*gender, and location type*driver condition) were identified among the above variables.
Analyzing Older Drivers’ Crash Severity in Louisiana
Tran-SET 2021 ; 2021 ; Virtual Conference
Tran-SET 2021 ; 7-15
2021-11-17
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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