Unobserved heterogeneity has been recognized as a critical issue in traffic safety research
that has not been completely addressed or often overlooked, and can lead to biased …

The latent class clustering and latent segmentation-based models are employed to account
for heterogeneity across different groups. Further, the random parameter variants of these …

Due to the wide existence of heterogeneous nature in traffic safety data, traditional methods
used to investigate motorcyclist rider injury severity always lead to masking of some …

Motorcycle crashes increasingly become a high proportion of the overall motorized vehicle
fatalities. However, limited research has been conducted to compare the injury severity of …

Using motorcycle crash data for Iowa from 2001 to 2008, this paper estimates a mixed logit
model to investigate the factors that affect crash severity outcomes in a collision between a …

This study identifies the heterogeneous effects of road characteristics on motorcycle-
involved crash severities by using the data of 11,611 crashes in London from 2017 to 2020 …

Most previous research on motorcycle accident severity has focused on univariate
relationships between severity and an explanatory variable of interest (eg, helmet use). The …

Motorcycle riders would be more vulnerable in the event of a crash because of their lack of
protection which would often result in them suffering more severe injuries than car drivers …

Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and
association between these factors and motorcycle crash severity outcomes is not known …

Introduction: Due to the myriad of unique characteristics associated with motorcycle
operation, motorcycle safety is a public health concern as complex as it is serious. National …