A random parameter bivariate approach for modelling freeway crash frequency by severity level

Weiwei Qi 1
Shuolei Qin 1
SHUFANG ZHU 2
Chuanyun Fu 3, 4
1
 
South china university of technology
2
 
Guangzhou Urban Planning & Design Survey Research Institute
Publication typeJournal Article
Publication date2025-02-21
scimago Q1
wos Q2
SJR0.997
CiteScore8.6
Impact factor3.1
ISSN23249935, 23249943
Found 
Found 

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1
Transportmetrica A: Transport Science
1 publication, 100%
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1
Taylor & Francis
1 publication, 100%
1
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GOST |
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GOST Copy
Qi W. et al. A random parameter bivariate approach for modelling freeway crash frequency by severity level // Transportmetrica A: Transport Science. 2025.
GOST all authors (up to 50) Copy
Qi W., Qin S., ZHU S., Fu C. A random parameter bivariate approach for modelling freeway crash frequency by severity level // Transportmetrica A: Transport Science. 2025.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1080/23249935.2025.2466471
UR - https://www.tandfonline.com/doi/full/10.1080/23249935.2025.2466471
TI - A random parameter bivariate approach for modelling freeway crash frequency by severity level
T2 - Transportmetrica A: Transport Science
AU - Qi, Weiwei
AU - Qin, Shuolei
AU - ZHU, SHUFANG
AU - Fu, Chuanyun
PY - 2025
DA - 2025/02/21
PB - Taylor & Francis
SN - 2324-9935
SN - 2324-9943
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Qi,
author = {Weiwei Qi and Shuolei Qin and SHUFANG ZHU and Chuanyun Fu},
title = {A random parameter bivariate approach for modelling freeway crash frequency by severity level},
journal = {Transportmetrica A: Transport Science},
year = {2025},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/23249935.2025.2466471},
doi = {10.1080/23249935.2025.2466471}
}