- https://doi.org/10.1016/j.aap.2026.108507
Modeling heterogeneity in fault attribution of Pedestrian-Vehicle crashes using a Random parameter Binary Logit approach.
- Jun 1, 2026
- Accident; analysis and prevention
- Mahmut Esad Ergin
Abstract
Modeling heterogeneity in fault attribution of Pedestrian-Vehicle crashes using a Random parameter Binary Logit approach.
- # Traffic Sign
- # Traffic Lights
- # Number Of Vehicles
- # Multi-vehicle Crashes
- # Adverse Weather
- # Fixed-parameter Models
- # Public Transport
- # Benchmark Model
- # Binary Model
- # Binary Logit
