Use of bivariate random-parameter probit model to analyze the injury severity of highway traffic crashes involving school-age children

J Lee, S Mao, M Abdel-Aty… - Transportation research …, 2021 - journals.sagepub.com
Traffic safety has been a serious public health issue. According to the World Health
Organization, annual traffic fatalities and non-fatal injuries are 1.35 million and 20 to 50 …

[HTML][HTML] Investigation on the injury severity of drivers in rear-end collisions between cars using a random parameters bivariate ordered probit model

F Chen, M Song, X Ma - … journal of environmental research and public …, 2019 - mdpi.com
The existing studies on drivers' injury severity include numerous statistical models that
assess potential factors affecting the level of injury. These models should address specific …

Analyzing Injury Severity of School Bus Crashes considering Temporal and Spatial Heterogeneity Using Random Parameters Ordered Probit Model

X Rao, C Yuan, S Ding, X Fang, R Yuan - 2024 - researchsquare.com
Ensuring the safety of students is a multifaceted task, extending beyond the mere design of
vehicles. It involves analyzing crash data related to school buses, which plays a critical role …

Investigating injury severity of pedestrian–vehicle crashes by integrating latent class cluster analysis and unbalanced panel mixed ordered probit model

D Xiao, Ž Šarić, X Xu, Q Yuan - Journal of Transportation Safety & …, 2023 - Taylor & Francis
In recent years the pedestrian deaths have been declining, but the pedestrian–vehicle death
rate in Croatia is still pretty high. This study intended to investigate the injury severity of …

[HTML][HTML] Estimating injury severity for motorized and non-motorized vehicle-involved crashes: insights from random-parameter ordered probit model with heterogeneity …

C Atombo, RF Turkson, MS Akple - IATSS research, 2023 - Elsevier
The use of advanced models to investigate the determinants of injury severity outcomes for
motorized and non-motorized-involved crashes are sparse. Therefore, random-parameter …

A random parameter bivariate probit model for injury severities of riders and pillion passengers in motorcycle crashes

S Wang, F Li, Z Wang, J Wang - Journal of Transportation Safety & …, 2022 - Taylor & Francis
This study proposes a random parameter bivariate probit model to analyze risk factors on
the crash injury severity of both motorcycle riders and passengers in a single modeling …

Insights on Crash Injury Severity Control from Novice and Experienced Drivers: A Bivariate Random‐Effects Probit Analysis

D Xiao, Q Yuan, S Kang, X Xu - Discrete Dynamics in Nature …, 2021 - Wiley Online Library
This study intended to investigate the crash injury severity from the insights of the novice and
experienced drivers. To achieve this objective, a bivariate panel data probit model was …

Investigation of factors contributing to bus-crash severity based on extended hierarchical ordered probit model with heteroscedasticity

J Shen, H Gu, X Feng, M Yu… - Journal of Transportation …, 2022 - Taylor & Francis
A bus-involved crash unavoidably affects many passengers, causing severe consequences.
Nonetheless, few studies have been comprehensively conducted to analyze the bus-crash …

Exploring driver injury severity using latent class ordered probit model: A case study of Turkey

NC Karabulut, M Ozen - KSCE Journal of Civil Engineering, 2023 - Springer
There have been limited efforts to study the severity of traffic crashes in Turkey. This study is
probably the first attempt to investigate the factors that contribute to driver injury severity …

Severity analysis for children-related crashes in school zones using random effects ordered probit models

S Lee, S Park, J Park, J Cho - Journal of Korean Society of …, 2022 - safetylit.org
Recently, in order to strengthen children's safety," Safety policy countermeasures for
children" were announced in five major areas (traffic safety, product safety, food safety, living …