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Recommended Improvements in Methods Greater use of sampling Supplemental studies, e.g., certain vehicles Confidential reporting...Previous slide | Next slide | Back to first slide | View graphic version
Recommended Data Improvements Details on crash severity and injury mechanism, at least for samples of crashes Inclusion of narrative text...Previous slide | Next slide | Back to first slide | View graphic version
Other Data Limitations Little data on Injury mechanism Whether at work Operator fatigue and distractionsPrevious slide | Next slide | Back to first slide | View graphic version
Other Data Limitations Quality of data often less than optimal Some events not recorded by police or DOT Mishaps of off-road vehicles...Previous slide | Next slide | Back to first slide | View graphic version
Data Gaps Include Lack of: Information on injury type and severity Information on uninjured passengers Narrative description...Previous slide | Next slide | Back to first slide | View graphic version
Operator age, sex, prior record, training, licensure, experience Involvement of alcohol and drug use...Previous slide | Next slide | Back to first slide | View graphic version
First Recommendation: Data Elements The primary databases for each mode should contain information on the factors that contribute to the...Previous slide | Next slide | Back to first slide | View graphic version
Advantages of the Haddon Matrix Can be expanded to accommodate various taxonomies Can be used to organize Risk factors Exposure...Previous slide | Next slide | Back to first slide | View graphic version
Advantages of the Haddon Matrix Relevant to all transportation modes Well-known and widely applied in the injury fieldPrevious slide | Next slide | Back to first slide | View graphic version
The Haddon Matrix Human Vehicle Physical Environment Social Environment Pre-Event Event ...