Causation analysis of serious road traffic accidents in Sichuan Province of China based on a hybrid HFACS-CN model
The importance of nodes in the causal network is more effectively identified by an EW-TOPSIS-based comprehensive analysis than by a single evaluation metric. The edge importance ranking method based on risk degree is particularly suitable for analyzing causal edges. The insights provided by this study enrich the limited literature on serious road accidents, enabling traffic management authorities and enterprises to implement targeted safety measures to mitigate road traffic accident losses.
Authors
- Hongkai Xiong (ORCID: https://orcid.org/0000-0003-4552-0029)
- Daowen Zhang (ORCID: https://orcid.org/0009-0003-7139-8271)
- Qiaoyuan Liu
- Xin Li (ORCID: https://orcid.org/0000-0003-2751-9796)
- Yuan Hong (ORCID: https://orcid.org/0000-0002-1961-4702)
- Shibo Zhang (ORCID: https://orcid.org/0000-0002-2824-9540)
Institutions
- Xihua University (CN)
- Ministry of Public Security of the People's Republic of China (CN)
- Shanghai Public Security Bureau (CN)
- Yibin University (CN)
- Southwest Jiaotong University (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1080/15389588.2025.2575049
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00