Examining traffic violations in severe casualty truck crashes: A text mining and reliable network analysis of narrative reports
This study demonstrates the advantages of textual data and reliable network analysis. Text data analysis proves to be more convenient, yielding a richer array of comprehensive information while demanding less subjective judgment. The findings of this paper inform consequent enforcement and engineering measures for mitigating severe casualty truck crashes.
Authors
- Kai Kang (ORCID: https://orcid.org/0000-0002-8878-2080)
- Wenjian Jia (ORCID: https://orcid.org/0000-0003-1765-6332)
- Zhe Guo (ORCID: https://orcid.org/0000-0003-4080-2449)
- Yunfei Zhao (ORCID: https://orcid.org/0000-0003-1314-4081)
- Jie Zhang (ORCID: https://orcid.org/0000-0002-9888-5665)
- Tong Fei Zhu (ORCID: https://orcid.org/0000-0002-2752-7924)
Institutions
- Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie (AT)
- Chang'an University (CN)
- Southeast University (BD)
- Ministry of Transport (CN)
- Research Institute of Highway (CN)
- Southeast University (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1080/15389588.2025.2553194
- Citations
- 1
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 1.30