Application of multi-group structural equation modelling for investigation of traffic barrier crash severity.

International Journal of Injury Control and Safety Promotion
Mahdi Rezapour, Khaled Ksaibati

Abstract

The severity of traffic barrier in the literature has been modelled considering different factors including human, environmental and road/traffic barrier characteristics. However, all these factors are interacting in a complicated way, and a real relationship between these factors is still unclear. A structural equation modelling (SEM) can be adopted to capture the intricate relationships between the contributory factors and latent (unseen) factors. This study was conducted by adopting multi-group SEM to unlock the complicated relationship between confounding factors and traffic barrier crash severity by considering differences across two important groups. Due to the possible difference across different highway systems, multi-group SEM was used instead of standard SEM to account for the differences across highway and interstate roadway system. SEM is a combination of confirmatory and path analysis, which could examine relationship between different observed and latent factors. Besides using factor analysis for identification of latent factors, item/variable cluster analysis was conducted to identify all the latent factors. Although cluster analysis often has been used in other fields, this is the first time this method has been...Continue Reading

References

Jan 25, 2008·Accident; Analysis and Prevention·Helai HuangMd Mazharul Haque
Jan 25, 2008·Accident; Analysis and Prevention·Samer H HamdarRoger B Chen
Dec 11, 2008·Accident; Analysis and Prevention·Ju-Yeon LeeBongsoo Son
Jun 23, 2009·Accident; Analysis and Prevention·Nataliya V Malyshkina, Fred L Mannering
Apr 22, 2015·Accident; Analysis and Prevention·Carlos RoqueJoão Lourenço Cardoso
Jan 1, 1979·Multivariate Behavioral Research·W Revelle
Apr 1, 1990·Multivariate Behavioral Research·J H Steiger
Jul 26, 2019·International Journal of Environmental Research and Public Health·Feng ChenXiaoxiang Ma

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