Investigating crash-related injuries between animal-related and motor vehicle in Rural China: Bayesian random parameter probit model considering endogenous variables-Reference-Cited by-同舟云学术

Investigating crash-related injuries between animal-related and motor vehicle in Rural China: Bayesian random parameter probit model considering endogenous variables

Published:2023-06-05 Issue:1 Volume:10 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Yuan Quan¹,Xu Xuecai²,Yang Zihao¹,Shi Dong³,Qi Shuangqiang³,Zhang Yan⁴

Affiliation:

1. State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China

2. School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China

3. Traffic Management Detachment, Baotou Public Security Bureau, Baotou, China

4. Otog Banner Traffic Police Brigade, Erdos Public Security Bureau Traffic Management Detachment, Erdos, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2023.2220506

Reference20 articles.

1. Temporal stability of driver injury severities in animal-vehicle collisions: A random parameters with heterogeneity in means (and variances) approach

2. Animal–vehicle collisions in Victoria, Australia: An under‐recognised cause of road traffic crashes

3. Vehicle fatalities involving collisions with kangaroos

4. Characteristics of animal-related motor vehicle crashes in select National Park Service units—United States, 1990–2013

5. Nonfatal motor-vehicle animal crash-related injuries—United States, 2001–2002

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