Modeling endogeneity between motorcyclist injury severity and at-fault status by applying a Bayesian simultaneous random-parameters model with a recursive structure

A temporal assessment of distracted driving injury severities using alternate unobserved-heterogeneity modeling approaches

(2022) Nawaf Alnawmasi et al.   Analytic Methods in Accident Research

Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity

(2021) Fangrong Chang et al.   Analytic Methods in Accident Research

Association Between Emergency Medical Service Response Time and Motor Vehicle Crash Mortality in the United States

(2019) James P. Byrne et al.   JAMA Surgery

Risk factors for motorcycle loss-of-control crashes

(2018) Dan Wu et al.   Traffic Injury Prevention

Identifying the Most Important Factors in the At-Fault Probability of Motorcyclists by Data Mining, Based on Classification Tree Models

(2017) Mohammad Bagher Anvari et al.   International Journal of Civil Engineering

Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach

(2016) Fangrong Chang et al.   International Journal of Environmental Research and Public Health

Comparison of Severity of Motorcyclist Injury by Crash Types

(2012) William H. Schneider et al.   TRANSPORTATION RESEARCH RECORD

Analysis of Motorcycle Crashes in Texas with Multinomial Logit Model

(2012) Srinivas Reddy Geedipally et al.   TRANSPORTATION RESEARCH RECORD

Motorcyclist injury severity in angle crashes at T-junctions: Identifying significant factors and analysing what made motorists fail to yield to motorcycles

(2009) Chih-Wei Pai   SAFETY SCIENCE

Modelling motorcyclist injury severity by various crash types at T-junctions in the UK

(2007) Chih-Wei Pai et al.   SAFETY SCIENCE