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Establishing an Integrated Crash Database with Existing Data Systems for Traffic Safety Analysis

Establishing an Integrated Crash Database with Existing Data Systems for Traffic Safety Analysis Ms Ching-Huei Lai Chinese Taipei. Background. To study traffic crashes in more aspects & greater detail based on Haddon matrix structure . e.g. violation crash

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Establishing an Integrated Crash Database with Existing Data Systems for Traffic Safety Analysis

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  1. Establishing an Integrated Crash Database with Existing Data Systems for Traffic Safety Analysis Ms Ching-Huei Lai Chinese Taipei

  2. Background • To study traffic crashes in more aspects & greater detail based on Haddon matrix structure. • e.g. violation crash • e.g. medical care crash • To have comparable data, e.g.: • fatalities ≦ 24 hr ≦ 30 days • injury severity: AIS/ISS Education Training EMS Injury prevention Social costs

  3. Haddon matrix • Various sources Merge Valuable data

  4. Hospital data Vital data Crash data Vehicle insurance data Violation data Goal • Police-reported crash Other sources

  5. Link • Merge existing data systems • Use determinative linkage • Link at individual level • Use different identifiers • Negotiate across departments

  6. Integrated Database Overview • Data year: 1999-2004

  7. Results: Example 1 (1/2) • Reporting standard: • Chinese Taipei: 24 hr • Global: 30 days • Adjustment factor Comparable

  8. Results: Example 1 (2/2) • Our factors are higher. • Compare fatalities on the same base. • Data sources: • Jacobs, G., Aeron-Thomas, A., Astrop, A., 2000. Estimating Global Road Fatalities. Transport Research Laboratory, TRL Report 445. • Japan National Police Agency, 2002. The Situation of Traffic Accidents Fatalities within 30 Days in Mid 2001. Japan. • Lai, Ching-Huei, Huang, Wei-Shin, Chang, Kai-Kuo, Jeng, Ming-Chang, Doong, Ji-Liang, 2006. Using data linkage to generate 30-day crash-fatality adjustment factors for Chinese Taipei. Accident Analysis and Prevention 38, 696-702.

  9. Results: Example 2 (1/2) • Deaths ≦ 30 days • Including: • Pre-hospital • In hospital • ED cases • hospitalized

  10. Results: Example 2 (2/2) • Fatality: a small piece of iceberg • 26% died pre-hospital • 42% died in ED • 32% died after hospitalized • Implication: EMS • pre-hospital, ED

  11. Conclusions • Integrated crash database offers the opportunity to have cheap and effective data for research. • Future: extending to other data systems and research aspects in the Haddon matrix.

  12. The End

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