A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics

J Su, NN Sze, L Bai - Accident Analysis & Prevention, 2021 - Elsevier
Road safety is a major public health issue, with road crashes accounting for one-fourth of all
documented injuries. In these crashes, pedestrians are more vulnerable to fatal and/or …

Bayesian spatial-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence

H Wen, X Zhang, Q Zeng, NN Sze - Accident Analysis & Prevention, 2019 - Elsevier
This study attempts to examine the main and interaction effects of roadway and weather
conditions on crash incidence, using the comprehensive crash, traffic and weather data from …

Jointly modeling area-level crash rates by severity: a Bayesian multivariate random-parameters spatio-temporal Tobit regression

Q Zeng, Q Guo, SC Wong, H Wen… - … A: Transport Science, 2019 - Taylor & Francis
This study investigates the inclusion of spatio-temporal correlation and interaction in a
multivariate random-parameters Tobit model and their influence on fitting areal crash rates …

Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models

Q Zeng, Q Wang, K Zhang, SC Wong, P Xu - Accident Analysis & …, 2023 - Elsevier
This paper conducted a comprehensive study on the injury severity of motor vehicle–
pedestrian crashes at 489 urban intersections across a dense road network based on high …

[HTML][HTML] Exploring the significance of road and traffic factors on traffic crashes in a South African city

DK Das - International journal of transportation science and …, 2023 - Elsevier
Traffic crashes on the roads of South African cities is a critical problem. Road and traffic-
related parameters are argued to contribute significantly to this challenge. Therefore, this …

Modeling unobserved heterogeneity for zonal crash frequencies: A Bayesian multivariate random-parameters model with mixture components for spatially correlated …

H Huang, F Chang, H Zhou, J Lee - Analytic methods in accident research, 2019 - Elsevier
This study applies mixture components in a multivariate random parameters spatial model
for zonal crash counts. Three different modeling formulations are employed to demonstrate …

A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis

Z Li, X Chen, Y Ci, C Chen, G Zhang - Analytic methods in accident …, 2019 - Elsevier
Unobserved heterogeneity, which has been recognized as a critical issue in crash frequency
modelling, generates from multiple sources, including observable and unobservable factors …

An accelerated hierarchical Bayesian crash frequency model with accommodation of spatiotemporal interactions

H Cui, K Xie - Accident Analysis & Prevention, 2021 - Elsevier
Although spatial and temporal correlations of crash observations have been well addressed
in the literature, the interactions between them are rarely studied. This study proposes a …

Bayesian approach to model pedestrian crashes at signalized intersections with measurement errors in exposure

SQ Xie, N Dong, SC Wong, H Huang, P Xu - Accident Analysis & Prevention, 2018 - Elsevier
This study intended to identify the potential factors contributing to the occurrence of
pedestrian crashes at signalized intersections in a densely populated city, based on a …

A full Bayesian multilevel approach for modeling interaction effects in single-vehicle crashes

Z Cai, F Wei, Y Guo - Accident Analysis & Prevention, 2023 - Elsevier
Interaction effects constitute crucial crash attributes that can be classified into two distinct
categories: spatiotemporal interactions and factor interactions. These interactions are rarely …