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

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 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

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Haddon matrix  Various sources Merge Valuable data

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Goal  Police-reported crash Other sources Crash data Vehicle insurance data Violation data Hospital data Vital data

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Link  Merge existing data systems  Use determinative linkage  Link at individual level  Use different identifiers  Negotiate across departments

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Integrated Database Overview  Data year:

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007  Reporting standard: –Chinese Taipei: 24 hr –Global: 30 days  Adjustment factor Comparable Results: Example 1 (1/2)

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Results: Example 1 (2/2)  Our factors are higher.  Compare fatalities on the same base. JapanChinese Taipei 24 hr (C.I.=1.32~1.39) daysECMTChinese Taipei scene/ (C.I.=1.49~1.59) (C.I.= 1.18~1.23) (C.I.= 1.07~1.10) Data sources: 1.Jacobs, G., Aeron-Thomas, A., Astrop, A., Estimating Global Road Fatalities. Transport Research Laboratory, TRL Report Japan National Police Agency, The Situation of Traffic Accidents Fatalities within 30 Days in Mid Japan. 3.Lai, Ching-Huei, Huang, Wei-Shin, Chang, Kai-Kuo, Jeng, Ming-Chang, Doong, Ji-Liang, Using data linkage to generate 30-day crash-fatality adjustment factors for Chinese Taipei. Accident Analysis and Prevention 38,

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Results: Example 2 (1/2)  Deaths ≦ 30 days  Including: –Pre-hospital –In hospital ED cases hospitalized

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 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

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 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.

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 The End