Using linked data to evaluate motor vehicle crashes involving elderly drivers in Connecticut : Crash Outcome Data Evaluation System (CODES) linked data demonstration project
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Summary
This study utilized linked data from Connecticut's Department of Transportation crash records, hospital admission records, and state mortality registries to analyze motor vehicle crashes involving drivers aged 65 and older in 1995. Researchers developed a deterministic algorithm to merge these datasets, allowing for a comprehensive assessment of crash characteristics, medical outcomes, and fatalities. The analysis revealed that elderly drivers were involved in 8.4% of all crashes but accounted for only 3.2% of fatalities, with most hospital-treated elderly drivers being discharged from the emergency department. Logistic regression indicated that crashes involving elderly drivers were significantly more likely to be associated with driver illness, construction zones, traffic control violations, and striking deer, while being less likely to involve alcohol or aggressive driving. The findings demonstrate the utility of linked data systems in identifying specific risk factors and outcomes for elderly drivers compared to the general population.
Key finding
Crashes involving elderly drivers were significantly more likely to be associated with driver illness, construction zones, traffic control violations, and striking deer, but less likely to involve alcohol or aggressive driving compared to crashes involving younger drivers.
Methodology
dataset
Sample size: 126375
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 bulk_ingest_rosap on 2026-05-23 (7 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | skipped | empty | — | — | 4 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b | — | 3 | 2026-06-01 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-03 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-01; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- incidence prevalence
- demographic disparities
- sex gender
- fatality injury trends
- vru crash typology
- pre crash contributing factors
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