Motorcycle Crash Causes and Outcomes: Pilot Study
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Summary
This pilot study, conducted by Westat and Dynamic Science, Inc. for the National Highway Traffic Safety Administration (NHTSA), addresses the rising trend of motorcyclist fatalities, which doubled over the decade preceding the study. Motivated by a congressional mandate under the SAFETEA-LU Act to conduct a comprehensive analysis of motorcycle crash causes, the project aimed to develop and test a methodology for in-depth crash investigations in the United States. The study adapted the Organisation for Economic Cooperation and Development (OECD) protocol, previously used in Europe, to create comprehensive data collection forms, coding manuals, field protocols, and training materials. Additionally, it sought to assess the resource requirements and operational feasibility of such investigations to inform future large-scale studies. The research was conducted in Orange County, California, between December 2008 and April 2009. The team established cooperative agreements with five police agencies to receive immediate notifications of motorcycle crashes involving injuries. Investigators responded to scenes to collect environmental data, vehicle damage assessments, and occupant interviews, while also gathering medical records and autopsy reports. The protocol required collecting control data from two non-crash-involved motorcyclists for each crash case to establish comparative baselines. Although the plan targeted up to 37 crashes, 53 notifications were received during the three-month collection period. Of these, 23 cases were fully completed, 20 were dropped due to lack of injury or cooperation, and 10 remained incomplete. The study also evaluated logistical factors, including notification times, data retrieval speeds, and the utility of tools like total stations for scene measurement. Key findings indicated that the adapted OECD methodology was operationally viable but resource-intensive. The average cost to complete a single crash investigation, including control data and accounting for dropped cases, was approximately $7,500, requiring about 60 hours of effort. This cost excluded development expenses for forms, databases, and training. Logistically, police notifications were received within 15 minutes on average, allowing for immediate on-scene response. Interviews were typically conducted within 24 hours, and medical records were obtained within two weeks. However, collecting control group data proved to be the most challenging aspect of the study, with limited success despite multiple approaches. The study successfully validated the data collection instruments and demonstrated that case notifications and rapid response were feasible with police cooperation. The significance of this pilot study lies in its provision of a validated framework and cost estimates for a future comprehensive national study on motorcycle crash causation. It confirmed that in-depth investigations using the OECD protocol can be conducted in the U.S. context, yielding detailed data on human, vehicle, and environmental factors. The report offers specific recommendations for modifying data forms, coding manuals, and training materials to improve efficiency and data quality. By establishing the baseline costs and operational procedures, the study enables NHTSA to plan and budget for a larger-scale investigation mandated by Congress, ultimately aiming to develop more effective countermeasures to reduce motorcyclist fatalities.
Key finding
The average cost per completed in-depth motorcycle crash investigation was approximately $7,500, with case notifications received within about 15 minutes and interviews conducted on average in less than 24 hours.
Methodology
on_road
Sample size: 23
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 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 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-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- in depth crash investigation
- causation analyses
- motorcycle crash typology
- motorcyclist skill
- naturalistic crash near crash
- incidence prevalence
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
- Methodological Resource: dataset resource