Temporal stability of factors affecting injury severity in rear-end and non-rear-end crashes: A random parameter approach with heterogeneity in means and variances

C Wang, F Chen, Y Zhang, S Wang, B Yu… - Analytic methods in …, 2022 - Elsevier
Rear-end crashes have become a serious global issue, with increasing injuries and fatalities
accounting for massive property loss. The purpose of this study is to investigate the variation …

Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors

Q Zeng, W Gu, X Zhang, H Wen, J Lee… - Accident Analysis & …, 2019 - Elsevier
This study develops a Bayesian spatial generalized ordered logit model with conditional
autoregressive priors to examine severity of freeway crashes. Our model can simultaneously …

Spatiotemporal instability analysis of injury severities in truck-involved and non-truck-involved crashes

C Wang, F Chen, Y Zhang, J Cheng - Analytic methods in accident …, 2022 - Elsevier
The truck involvement could potentially increase the crash frequency and resulted injury
outcomes and it is of great necessity to understand the similarities and differences in the …

Analysis of injury severity in rear-end crashes on an expressway involving different types of vehicles using random-parameters logit models with heterogeneity in …

C Wang, F Chen, Y Zhang, J Cheng - Transportation letters, 2023 - Taylor & Francis
To examine the difference in contributing factors of rear-end crashes of different injury
severity involving different types of vehicles, this paper proposed random-parameters …

Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods

D Delen, L Tomak, K Topuz, E Eryarsoy - Journal of Transport & Health, 2017 - Elsevier
Investigation of the risk factors that contribute to the injury severity in motor vehicle crashes
has proved to be a thought-provoking and challenging problem. The results of such …

Investigating the impacts of real-time weather conditions on freeway crash severity: a Bayesian spatial analysis

Q Zeng, W Hao, J Lee, F Chen - International journal of environmental …, 2020 - mdpi.com
This study presents an empirical investigation of the impacts of real-time weather conditions
on the freeway crash severity. A Bayesian spatial generalized ordered logit model was …

A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity

Q Zeng, H Wen, H Huang, X Pei, SC Wong - Accident Analysis & Prevention, 2017 - Elsevier
In this study, a multivariate random-parameters Tobit model is proposed for the analysis of
crash rates by injury severity. In the model, both correlation across injury severity and …

Risk factors affecting crash injury severity for different groups of e-bike riders: A classification tree-based logistic regression model

Z Wang, S Huang, J Wang, D Sulaj, W Hao… - Journal of safety …, 2021 - Elsevier
Introduction As a convenient and affordable means of transportation, the e-bike is widely
used by different age rider groups and for different travel purposes. The underlying reasons …

Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes

T Champahom, S Jomnonkwao… - Accident Analysis & …, 2020 - Elsevier
A rear-end crash is a widely studied type of road accident. The road area at the crash scene
is a factor that significantly affects the crash severity from rear-end collisions. These road …

Investigating hazardous factors affecting freeway crash injury severity incorporating real-time weather data: Using a Bayesian multinomial logit model with conditional …

X Zhang, H Wen, T Yamamoto, Q Zeng - Journal of safety research, 2021 - Elsevier
Introduction: It has been demonstrated that weather conditions have significant impacts on
freeway safety. However, when employing an econometric model to examine freeway crash …