TY - JOUR PY - 2006// TI - Using data linkage to generate 30-day crash-fatality adjustment factors for Taiwan JO - Accident analysis and prevention A1 - Lai, Ching-Huei A1 - Huang, Wei-Shin A1 - Chang, Katherine Ka Pik A1 - Jeng, Ming-Chang A1 - Doong, Ji-Liang SP - 696 EP - 702 VL - 38 IS - 4 N2 - 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 24h) 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.

 

LA - en SN - 0001-4575 UR - http://dx.doi.org/10.1016/j.aap.2005.12.015 ID - ref1 ER -