An empirical analysis of run-off-road injury severity crashes involving large trucks

NSS Al-Bdairi, S Hernandez - Accident Analysis & Prevention, 2017 - Elsevier
In recent years, there has been an increasing interest in understanding the contributory
factors to run-off-road (ROR) crashes in the US, especially those where large trucks are …

Unobserved heterogeneity and the statistical analysis of highway accident data

FL Mannering, V Shankar, CR Bhat - Analytic methods in accident research, 2016 - Elsevier
Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

How heterogeneity has been examined in transportation safety analysis: A review of latent class modeling applications

SH Kim - Analytic methods in accident research, 2023 - Elsevier
This study explores how heterogeneity has been examined in transportation safety
analyses, specifically focusing on latent class modeling, which has gained popularity and …

Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances

A Behnood, F Mannering - Analytic methods in accident research, 2017 - Elsevier
This paper investigates risk factors that significantly contribute to the injury severity of
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …

Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes

A Behnood, F Mannering - Analytic methods in accident research, 2019 - Elsevier
Using the data from large-truck crashes in Los Angeles over an eight-year period (January
1, 2010 to December 31, 2017), the variation in the influence of factors affecting injury …

A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving

M Islam, F Mannering - Analytic methods in accident research, 2020 - Elsevier
Aggressive driving has become a national traffic-safety concern, with increasing congestion
and other stress-inducing factors making it more likely drivers take out their frustrations by …

Factors affecting motorcyclists' injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances

M Waseem, A Ahmed, TU Saeed - Accident Analysis & Prevention, 2019 - Elsevier
Motorcycles constitute 61% of the total registered vehicles in Pakistan and there has been a
371% growth in motorcycles in the country from year 2005-2015. Motorcycle is an essential …

Severity analysis for large truck rollover crashes using a random parameter ordered logit model

G Azimi, A Rahimi, H Asgari, X Jin - Accident Analysis & Prevention, 2020 - Elsevier
Large truck rollover crashes present significant financial, industrial, and social impacts. This
paper presents an effort to investigate the contributing factors to large truck rollover crashes …

A statistical assessment of temporal instability in the factors determining motorcyclist injury severities

N Alnawmasi, F Mannering - Analytic methods in accident research, 2019 - Elsevier
This study explores the temporal instability of factors affecting motorcyclist-injury severities in
single-vehicle motorcycle crashes in Florida. Two data sources are used; one covers the …

Occupant injury severities in hybrid-vehicle involved crashes: A random parameters approach with heterogeneity in means and variances

P Seraneeprakarn, S Huang, V Shankar… - Analytic Methods in …, 2017 - Elsevier
Differences in hybrid and non-hybrid vehicle design, and potential differences in driver-
related behavior among owners of these vehicle types, can potentially have interesting …