Using data linkage to generate 30-day crash-fatality adjustment factors for Taiwan.

Auteur(s)
Jeng, M.-C. Doong, J.-L. Lai, C.-H Huang, W.-S. & Chang, K.-K.
Jaar
Samenvatting

Different countries have their own police reporting time standards for counting the number of fatalities in reported crashes. A rapid estimation method (such as adjustment factor) for the comparison is important. The data-linkage technique was used to combine police-reported crash data and vital registration data, in order to generate 30-day fatality adjustment factors for various reporting time standards, which could also shed light on the fatal injury trend over time. The major findings were as follows. Firstly, a conservative 30-day fatality adjustment factor for the first day (or 24 h) would be 1.54 (or 1.35) in an area with a large motorcycle population, like Taiwan. This produced 20-40% higher 30-day fatalities than UK Transport Research Laboratory predicted, and 15-25% higher fatalities than those in Europe/Japan. Secondly, after excluding motorcycle impacts, the Taiwanese factors suggested 8-14% higher fatalities within 30 days than those in Europe/Japan. Third, motorcycle fatalities influenced the overall 30-day fatality trend within 3 days. In the future, both the police under-reporting problem and the motorcycle/overall fatal injury pattern within 3 days after crashing in developing countries like Taiwan merit further investigation. (A) "Reprinted with permission from Elsevier".

Publicatie

Bibliotheeknummer
I E129654 /81 / ITRD E129654
Uitgave

Accident Analysis & Prevention. 2006 /07. 38(4) Pp696-702 (15 Refs.)

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