september 7, 2006 nhtsa’s national center for statistics & analysis 1 national center for...
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September 7, 2006 NHTSA’s National Center for Statistics & Analysis 3 NHTSA and Data NHTSA and the highway safety community overall are very data driven Data are used extensively for: Basic research Identifying problem areas Identifying program and rulemaking needs Developing and evaluating programs, rules and standards Evaluating new technologies Allocating grants Implementing GPRATRANSCRIPT
September 7, 2006
NHTSA’s National Center for Statistics & Analysis 1
National Center for Health StatisticsNational Center for Health StatisticsInternational Collaborative Effort on Injury Statistics
Joseph S. CarraAssociate Administrator
National Highway Traffic Safety AdministrationNational Center for Statistics and Analysis
Washington, DC
September 7, 2006
NHTSA’s National Center for Statistics & Analysis 2
OutlineWe will discuss:
A Overview of National Center for Statistics and Analysis
Critical Nature of Data
Goals of National Highway Traffic Safety Administration
Examples of Improving Data
September 7, 2006
NHTSA’s National Center for Statistics & Analysis 3
NHTSA and DataNHTSA and Data
NHTSA and the highway safety community overall are very data driven
Data are used extensively for: Basic research Identifying problem areas Identifying program and rulemaking needs Developing and evaluating programs, rules and standards Evaluating new technologies Allocating grants Implementing GPRA
September 7, 2006
NHTSA’s National Center for Statistics & Analysis 4
What is NCSA?What is NCSA?
Provides: data collection, data analysis, and data
dissemination on real world crashes and traffic records
To: NHTSA , but also to:
other parts of DOT outside stakeholders automobile manufacturers universities
September 7, 2006
NHTSA’s National Center for Statistics & Analysis 5
Ingredients of an Effective Crash Data Collection Program
September 7, 2006
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Why Are Data Critical?
Building A Data Collection System
1) Problem Identification
2) In Depth Understanding
3) Approach ToAddressing Problem
4) Development/ImplementationOf Approach
5) Evaluation
6) Adjustments
September 7, 2006
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NCSA’s Data Collection Network
--- 24 Sites CDS and GES---36 Sites GES Only--- 52 Sites FARS, NDR---CODES - 29 States ---State Data System – 25 States
Alaska
Hawaii
--- 24 Sites CDS and GES---36 Sites GES Only--- 52 Sites FARS, NDR---CODES - 30 States ---State Data System – 29 States
Alaska
Hawaii
P. R.
September 7, 2006
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Data Sources for NCSA Programs:
Police Crash ReportsCrash Scene Investigations
Vehicle Inspections / MeasurementsInvolved Person Interviews
Medical Records (Hospital / EMS)State Vehicle Registration FilesState Highway Department Data
Vital StatisticsDeath / Coroner / ME Reports
Data Sources
September 7, 2006
NHTSA’s National Center for Statistics & Analysis 9
Haddon Matrix
Haddon Matrix Human Vehicle Environment
Pre-CrashHuman Factors
Experience/TrainingDistraction
Vehicle FactorsDefects, Brakes,
Tires, etc.
Highway FactorsVisibility
Signalization
CrashHuman Tolerance
OccupantProtection
CrashworthinessEffectiveness ofSafety Systems
Post-CrashCost
Long Term Disabilities
Post Crash Outcomes
Fuel Leakage, Fire
Bystander CareEMS System
First Responders
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Crash Data
Crash research and data collection tries to answer a
basic set of questions regarding traffic crashes and their
outcomes:
Who, What, When, Where, Why and How?
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Data Qualities Timeliness - Is the data available when you need it?
Completeness - Are you collecting the kinds of data that adequately address the
problem?
Accuracy - Reliability of data. Quality Control.
Accessibility - Who are the main users of the data? Data dissemination.
Uniformity - Can data be shared with other systems?
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NHTSA Global Road Safety Agenda
NHTSA will be a global leader in road traffic safety sharing its knowledge and expertise.
NHTSA will maintain its leadership and influence in international organizations that are stakeholders in regional or global road safety.
In particular, provide technical assistance to develop traffic safety data record systems
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Example
APEC – (Asia - Pacific Economic Cooperation) Motivate – Encourage APEC economies to take
necessary steps to improve their data.
Master Plan – Work with volunteer APEC economies to develop ways to improve their data.
Assessments – Evaluate existing systems.
Blueprint – Develop detailed design / redesign plan of action.
Implement – Perform or carry out plan of action.