.png){kind=icon}
.png){kind=icon}
Return
Disentangling the effects of COVID-19 on pedestrian injury severity in motorcycle-related crashes: Evidence from mixed logit modelling
.png){kind=icon}
OA
AI
Y
DOI：10.1016/j.jth.2025.102232.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Pedestrian injury determinants are examined in motorcycle-related crashes. • Mixed logit models with heterogeneity in means are developed. • COVID-19 affects pedestrian injury severity and results in temporally unstable injury severity patterns. • COVID-19 has mixed effects on pedestrian injury severity. • Pedestrian injury severity determinants vary between vehicle- and motorcycle-related crashes.
Keywords:
Pedestrians
Motorcyclists
COVID-19
Temporal stability
Mixed logit model
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.3
Papers:
2.2K
Citations:
4.8K
Organization
No organization information available
Cited Papers