This paper examines the differences between weekday, weekend, and holiday crashes on
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …

This study explores temporal shifts in the effects of explanatory variables on the injury
severity outcomes of crashes involving distracted driving. Using data from distracted driving …

Vulnerable road users (VRUs) involved crashes are a major road safety concern due to the
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …

Many studies examine the road characteristics that impact the severity of truck crash
accidents. However, some only analyze the effect of curves or slopes separately, ignoring …

The present study investigated the impact of real-time weather (air temperature, relative
humidity, precipitation, wind speed, and solar radiation) on crash injury severity. Recent …

In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …

Road safety assessment is one of the most important parts of road transport safety
management. When road transportation networks are managed safely, they improve the …

This paper presents a negative binomial random parameter model with heterogeneity in
means and variance to capture the effect of heterogeneous effect of ramp type, alignment …

This paper aims to empirically evaluate the ordered and unordered discrete outcome
frameworks to approach riders' red-light running (RLR) decisions and compare the …

Introduction: Spatiotemporal correlations have been widely recognized in single-vehicle
(SV) crash severity analysis. However, the interactions between them are rarely explored …