1. |
On-scene, at or near the time of the accident |
2. |
In-depth investigation and analysis |
3. |
Multi-disciplinary: engineering, medical, motorcycle-qualified
investigators |
4. |
Multi-level |
5. |
Include crash causation as well as injury causation factors |
6. |
Include human, vehicle, and environmental factors and all
possible interactions |
7. |
Include identification of countermeasures |
8. |
Applicable to all powered two-wheel vehicle crashes |
9. |
Recommended to use sample sizes of at least 100 crashes
per sample area per year |
10. |
Include collection of concurrent exposure data |
11. |
Specify a minimum level and type of academic qualification,
motorcycle riding experience, and special investigation team
training |
12. |
Able to provide and audit path between the raw data and
the final results |
13. |
Reproducible from team to team |
14. |
Based on unbiased sampling, results, and interpretations |
15. |
Useful for comparison between sample areas and countries |
16. |
Based on a census of qualified motorcycle crashes meeting
sampling criteria |
17. |
Are from a sampling period covering 24 hours per day, 365
days per year |
18. |
Require standardized, minimum statistical analysis |
19. |
Result in final databases that have a common structure and
format |
The Organization for Economic Cooperation and Development (OECD)
Common Methodology also requires analysis of the population-at-risk
to coincide with investigation of the crash population. Large-scale
data sources such as departments of motor vehicles can be surveyed
and compared to the population-at-risk identified through concurrent
exposure data collection. However, exclusive reliance on these
data sources will not define the true population-at-risk.
The objectives for exposure data collection are to precisely
define: