A scientometric analysis and bibliometric review of driver injury severity crashes studies
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Summary
This paper presents a scientometric analysis and bibliometric review of research concerning driver injury severity in traffic crashes. Motivated by the global public health crisis of road accidents, which cause significant loss of life and economic damage, the study aims to map the existing literature to identify key factors influencing injury severity, such as speeding, alcohol use, driver behavior, and environmental conditions. The authors seek to understand the current state of research, pinpoint major contributors, and highlight gaps to guide future studies and policy interventions. The methodology involved collecting data from the Web of Science, Scopus, and Dimensions databases using keywords such as "driver injury severity," "driver crash," and "crash analysis." The researchers utilized the VOSviewer software to perform bibliometric mapping, generating visualizations for co-authorship networks, institutional collaborations, country contributions, and keyword co-occurrence. The analysis focused on identifying the most prolific authors, institutions, and nations, as well as the most frequently cited topics within the field. The findings reveal that the United States is the leading contributor to this field, followed by China, Canada, and England. Key institutions include the University of Florida, University of Central Florida, McGill University, and the University of Washington. Prominent researchers identified include Zhang Guohui, Tay Richard, and Mohamed Abdel-Aty. The bibliometric analysis highlights that "injury" is the most significant keyword, with strong connections to terms like "accident," "crash analysis," and "safety." The review of prior studies summarized in the text indicates that speeding, drunk driving, failure to wear seat belts, and driver distraction are primary factors increasing injury severity. For instance, every 1 km/h increase in speed raises fatal accident risk by 4%, and blood alcohol concentration significantly impairs driver cognition and reflexes. The significance of this study lies in its provision of a comprehensive roadmap for future research and policy-making. It underscores that traffic laws regarding drunk driving, seat belt usage, and speed limits are ineffective without strict enforcement. The authors conclude that reducing traffic fatalities requires a multi-sectoral approach involving transport, police, health, and education sectors. Recommendations include designing safer infrastructure, improving vehicle safety features, enforcing laws on major hazards, and raising public awareness. By mapping the research landscape, the paper helps identify foundational knowledge and collaborative networks, facilitating more targeted efforts to mitigate the severity of driver injuries in traffic crashes.
Key finding
The bibliometric analysis identifies the United States, China, and Canada as the leading contributors to research on driver injury severity, with speeding, alcohol use, and seat belt non-compliance emerging as the most significant factors influencing crash outcomes.
Methodology
review
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via author_sweep_intake on 2026-05-27.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-27 |
| archive | success | canonical_url | — | — | 1 | 2026-06-04 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | semantic_scholar | — | — | 2 | 2026-06-04 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | partial | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- demographic disparities
- incidence prevalence
- fatality injury trends
- pre crash contributing factors
- comparative international
- sex gender
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource