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Establishing an Integrated Crash Database with Existing Data Systems for Traffic Safety Analysis Ching-Huei Lai Chinese Taipei
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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
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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
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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
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TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Haddon Matrix Various sources Merge data
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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
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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
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TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 Integrated Crash Database Overview Data year: 1999-2004
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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
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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 hr1.201.35(C.I.=1.32~1.39) daysECMTChinese Taipei scene/ 1 1.301.54(C.I.=1.49~1.59) 31.151.20(C.I.= 1.18~1.23) 71.081.09(C.I.= 1.07~1.10) 301.00
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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
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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
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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.
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TPT-WG29, Chinese Taipei 29 th APEC Transportation Working Group Meeting, Chinese Taipei, 9-13 July 2007 The End Thank You
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