降低死亡率及延長人類壽命，是醫學科學的主要目標之一。依據世界衛生組織估計，由2002年到2030年，全球因損傷而肇致的死亡人數將成長40%，多數是肇因於車禍，而車禍將由目前第8-10名上升為第4-5名主要死亡原因。 本研究透過異質資料的整合方法，藉由淨化、連結我國警察單位的交通事故資料與衛生單位的死亡原因資料，建立車禍死亡者的整合資料庫，並據以衍生國際常用之不同死亡時間定義下的30天死亡人數推估係數及壽命年數損失(Years of Life Lost，YLL)，探討影響車禍之人、車、路及環境三項因素，對死亡危急性的影響，以及對社會所造成的死亡負擔，並與國際資料比較。 研究之主要結果：(1)我國車禍當天的推估係數較歐洲及日本為高，顯示我國有較多晚期死亡者；(2)推估係數揭露胸部受傷的危急性在所探討之風險因子中居冠；(3)年輕人因車禍而產生的平均YLL居各年齡層之冠，但高齡者的平均YLL甚高，遠高於西太平洋地區；(4)在不同性別、年齡別族群中，平均YLL的風險因子排名並不相相同，但頭部受傷、市區道路及乾燥路面對所有族群均為高風險因子。(5)不同死亡指標，可提供更多樣化的車禍風險面貌。 透過異質資料整合的方式，可有效結合既有資料庫，發展出有價值的資訊，本研究經驗顯示此可使我國資料與國際比較，並延伸應用，提供我國經驗，供國際參考。 Lower death rate and longer life years are two objectives of medicine science. According the estimates published by World Health Organization, the deaths caused by injuries would increase 40% from year 2020 to 2030. Most of them were crash fatalities. By then, the crash would rank 4-5 in the causes of deaths. The present study linked the heterogeneous police reported crash data with vital registration data to build an integrated database. Then, two common used fatality indexes, 30 days fatality adjustment factors under different fatality time definition and years of life lost (YLL), were used to investigate the influence of various risk factors on crashes. The results were also compared with international data. The major results were: 1) Taiwan’s adjustment factor at the first day of crash was higher than that in Europe and Japan. It indicated more late deaths in Taiwan. 2) Illustrated by fatality adjustment factors, thorax injuries were the most exigent factor among the investigated risk factors. 3) The YLL rates of the youth were highest across age groups. However, the YLL rates of the elder were visible high, and higher than that in Western Pacific Region B area. 4) The factors on YLL rate rank various among sex and age groups; however, head injuries, injuries involving urban roads and dry road condition were the factors with higher YLL rate in all groups. 5) Different fatality indexes could provide various crashes features. Integrating heterogeneous data could efficiently combine existing databases to provide valuable information. The experiences in present study demonstrated that it could compare local data with international data and investigate advanced.