Citation

Li P, Zhao C, Li M, Zhang D, Luo Q, Zhang C, Hu W. Heliyon 2024; 10(11): e32013.

Copyright

(Copyright © 2024, Elsevier Publishing)

DOI

10.1016/j.heliyon.2024.e32013

PMID

38867994

PMCID

PMC11168312

Abstract

The aim of this study was to investigate the effects of temporal instability and possible heterogeneity on pedestrian accident severity, 48786 accident data from 2018 to 2021 in the UK STATS database were used as the study object, and accident severity was used as the dependent variable, and 49 accident characteristics were selected as independent variables from 6 characteristics of accident pedestrian, driver, vehicle, road, environment and time to construct the pedestrian accident mean heterogeneity random-parameter logit model and examined its temporal stability. The results of model estimation and likelihood ratio tests indicate that the variables affecting pedestrian injury severity are highly variable and not stable over the years. And further demonstrates the potential of models that address unobserved heterogeneity for significant relationships in pedestrian accident severity analyses.

Language: en

Keywords

Traffic safety; Heterogeneity; Pedestrian traffic accidents; Random-parameter logit model; Time instability