A random parameter bivariate approach for modelling freeway crash frequency by severity level
1
South china university of technology
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Guangzhou Urban Planning & Design Survey Research Institute
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Publication type: Journal Article
Publication date: 2025-02-21
scimago Q1
wos Q2
SJR: 0.997
CiteScore: 8.6
Impact factor: 3.1
ISSN: 23249935, 23249943
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Transportmetrica A: Transport Science
1 publication, 100%
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Taylor & Francis
1 publication, 100%
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2
Total citations:
2
Citations from 2024:
1
(100%)
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GOST
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Qi W. et al. A random parameter bivariate approach for modelling freeway crash frequency by severity level // Transportmetrica A: Transport Science. 2025.
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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.
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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 -
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BibTex (up to 50 authors)
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@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}
}