A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data.

ABSTRACT:

Background

Expenditure on driver-related behavioral interventions and road use policy is often justified by their impact on the frequency of fatal and serious injury crashes. Given the rarity of fatal and serious injury crashes, offense history, and crash history of drivers are sometimes used as an alternative measure of the impact of interventions and changes to policy. The primary purpose of this systematic review was to assess the rigor of statistical modeling used to predict fatal and serious crashes from offense history and crash history using a purpose-made quality assessment tool. A secondary purpose was to explore study outcomes.

Methods

Only studies that used observational data and presented a statistical model of crash prediction from offense history or crash histo

SUBMITTER: Slikboer R 

PROVIDER: S-EPMC7523043 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature