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

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Content  Why  How –Component Data Systems –Link –Integrated Crash Database  Analysis results: –1. Police-reported crash fatality adjustment factors –2. Crash deaths’ flow  Conclusions

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Background (1/2)  To study traffic crashes in more aspects and greater detail based on Haddon matrix structure. –e.g. violation crash –e.g. medical care crash Education Training EMS Injury prevention Social costs

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Background (2/2)  To have comparable data, e.g.: –fatalities ≦ 24 hr ≦ 30 days –injury severity: AIS/ISS

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

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Component Data Systems  Police-reported crash existing systems 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  Link at individual level  Use determinative linkage  Use different identifiers  Negotiate across departments identifiers: ID: Personal PL: Vehicle

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

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

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Results 1 (2/2) Police-reported Crash Fatality Adjustment Factors  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)

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

TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Results 2: Crash Deaths’ Flow (2/2)  Implication: EMS pre-hospital, ED  Fatality: a small piece of iceberg

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 Thank You