交通事故及其健康資訊異質資料庫應用研究

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姓名

李明德(Ming-der Li) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

交通事故及其健康資訊異質資料庫應用研究
(Applied research of traffic accident and heterogeneous database of health information)

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摘要(中)

每年因為道路交通事故所造成的人命及經濟損失相當嚴重，也會影響到國家的經濟發展。道路交通事故相較於其他疾病，透過立法或是外在實體環境的改善，便立獲得相當顯著的成效。如立法院通過騎乘機車強制配戴安全帽，不但頭部受傷的車禍人數明顯下降，而且因車禍造成的死亡人數及受傷嚴重度，亦有所改善。但當原本健康的身體受到傷害後，即便透過各項醫學科技的治療，可能無法完全恢復到原本的身體機能，因而產生健康受損的人口。除影響個人的生活起居外，影響層面將擴及家庭與社會，進而造成國家社會的負擔。當傷害發生後，並無法改善受傷的事實，要去思考的是如何避免傷害的發生。
以往對於健康評估的研究大都採用問卷訪談的方式進行，受限於主客觀因素，常不易進行大範圍及大樣本的調查，且受訪者的態度還會影響問卷填寫資料的準確性。為得到更客觀及大範圍的研究用資料，本研究嘗試透過異質資料庫的整合，針對「道路交通事故資料庫」、「死因資料庫」及「全民健保資料庫」利用身分證號進行確定性連結，再利用連結後的資料進行一系列的分析研究。
研究的第一部份是，界定與事故有關的死亡及就醫資料，分別針對門診及住院資料，利用就醫距事故天數、就醫次數、住院天數、就醫科別及醫療金額等，訂定出與事故相關的就醫資料，並以此為基礎進行後續的相關研究。在完成與車禍相關的死亡與就醫資料定義後，在此基礎下分別進行「交通事故及醫療服務利用的區域差異」及「汽車與機車在道路因素上的存活風險」的研究。研究結果發現，在不同的區域不但有不同的醫療資源可及性，因此在送醫時緊急醫療系統提供者，在不同地區便會做出不同的送醫判斷，也就造成不同的醫療結果。同樣的，汽機車在不同等級的道路上發生事故時，會因為受傷嚴重度、醫療資源等，而有不同的醫療結果，此些都是本論文所要深入探討的。
雖然政府不斷進行道路工程的改善或是透過立法，希望能降低事故的發生，但是交通事故還是無法完全避免。因此如何結合更多的資源，減低事故發生後對於事故當事人的傷害，是需要持續不斷努力改善的工作。

摘要(英)

The road traffic accidents caused a lot of economic losses and lives every year is very serious problem. That is also influence the economic developments of the country. Comparing to other diseases, the road traffic accidents are easier had significantly improvement through prevention with the external environment or legislation. For example, passing the legislative of riding motorcycles to wear helmets mandatory, not only the number of head injuries in traffic accidents decreased, but also the number of deaths caused by accidents and the severity of injuries has also been improved. However, the original health after the injury may not be fully restored to the original function of the body even if treated through the medical science technology, resulting in damage to the health of the population. Those people besides affected the individual daily lives, the impact level will be extended to family and society, and thus the burden of the state. Therefore the important is thinking about how to avoid the occurrence of injury with the road traffic accidents.
Previous research for the health assessment questionnaire is used to conduct interviews, often difficult to carry out large-scale and large sample surveys. The attitudes of the respondents also affect the accuracy of the questionnaire information. In order to get more objective and extensive research data, this study try to integrate the heterogeneous database including “The police-reported road traffic accidents data”, “vital registration data” and “National Health Insurance database”, using the ID number to link confirmedly and then analysis this series of linked data.
The first part of the study is to define accident-related deaths and medical treatment information, respectively. For the patient and inpatient data, the use of that days away from accident to seek medical treatment, the number of days of hospitalization on the medical and health care payments, etc, to stand up the accident treatment-related information as the basis for the follow-up research. After completion of the accident-related deaths and the definition of medical information, the subjects of “Difference in urban and rural accident characteristics and medical service utilization for traffic fatalities in less-motorized societies” and “Survival hazards of road environment factors between motor-vehicle and motorcycles” had been study respectively on this basis. The results showed that in different regions have different health care resources and the emergency medical system providers in different areas of the hospital will make different judgments, this is caused by different medical results. Similarly, the traffic accidents on different degrees of the road have different medical treatment results because of the severity of injuries and medical resources. This is the major object in this study.
Although the government has been the improvement of road works or legislation to reduce accident, but traffic accidents can not be totally avoided. Therefore combination more and more resources to reduce the accidents and decrease the accident injury clients are the need for continuous efforts to improve work for the future.

關鍵字(中)

★ 醫療保健
★ 事故因素
★ 資料連結
★ 存活分析

關鍵字(英)

★ Data linkage
★ Medical care
★ Survival analysis
★ Accident factors

論文目次

中文摘要 I
英文摘要 III
誌謝 V
目錄 VII
表目錄 X
圖目錄 XII
第一章前言 1
1.1 疾病與意外對健康的影響 1
1.2 健康狀況的評估方式與指標 3
1.3 健康資訊的來源資料庫 5
1.4 異質質料庫的重要課題 6
1.5 研究目的 7
1.6 研究方法 7
1.7 研究流程及各章內容 8
第二章文獻回顧 11
2.1 異質資料庫系統(HDBS) 11
2.1.1 資料庫系統的發展演進 11
2.1.2 資料異質性的問題 12
2.1.3 異質資料庫的整合 15
2.1.4 資料實體異質性的相關研究 24
2.1.5 HDBS的系統評估 28
2.2 健康醫療的異質資料庫系統 30
2.2.1 國外交通事故相關資料庫整合研究 30
2.2.2 連結記錄的商用軟體 31
2.2.3 CODES、WADLS及VAED 31
2.3 損傷之健康指標的相關研究 32
2.4 就醫時間框 32
第三章研究方法 35
3.1 基本的異質性問題 35
3.2 名詞定義 40
3.3 資料整合平台的建立 41
3.4 相關資料的淨化與處理 45
3.4.1 道路交通事故資料庫 46
3.4.2 死因資料庫 50
3.4.3 健保資料庫 53
第四章車禍死亡者的醫療成本分析 59
4.1 門診與住院時間框之探討 59
4.1.1 純門診就醫時間框之探討 60
4.1.2 事故發生後第一次門診分析 62
4.1.3 門診科別 64
4.1.4 住院時間框之探討 69
4.1.5 住院科別 73
4.2 車禍受害者的資料處理與分類 74
4.3 車禍死亡者的醫療成本分析：純急診者 80
4.3.1 車禍死亡者的基本背景資料 80
4.3.2 醫療成本的文獻回顧 81
4.3.3 分析結果 83
4.3.4 討論 86
第五章不同地域或道路別上醫療與存活風險之探討 91
5.1交通事故及醫療服務在不同地域之差異 91
5.1.1研究資料與定義說明 91
5.1.2研究分析內容說明 95
5.1.3結果與討論 102
5.2汽、機車在不同道路別上的存活風險 105
5.2.1研究資料與定義說明 106
5.2.2研究分析內容說明 108
5.2.3結果與討論 115
第六章結論與未來研究 121
6.1 結論 121
6.2 未來研究 125
參考文獻 127

參考文獻

1. Murray, C.J.L., Lopez, A.D., 1996. The Global Burden of Disease. Cambridge, Mass： Harvard University Press.
2. Blincoe, L.J., Seay, A.G., Zaloshnja, E., Miller, T.R., Romano, O.E., Luchter, S., Spicer, R.S., 2002. The Economic Impact of Motor Vehicle Crashes, 2000. Report DOT HS 809 446. US Department of Transportation, NHTSA, Washington, DC.
3. Connelly, L.B., Supangan, R., 2006. The economic costs of road traffic crashes： Australia, states and territories. Accident Analysis and Prevention (in press).
4. Elvik, R., 1995. An analysis of official economic valuations of traffic accident fatalities in 20 motorized countries. Accident Analysis and Prevention, 27 (2), 237-247.
5. Híjar, M., Arredondo, A., Carrillo, C., Solrzano, L., 2004. Road traffic injuries in an urban area in Mexico An epidemiological and cost analysis. Accident Analysis and Prevention, 36, 37-42.
6. Lawrence, B.A., Max, W., Miller, T.R., 2002. Costs of Injuries Resulting from Motorcycle Crashes： A Literature Review. National Highway Traffic Safety Administration, DOT HS 809 242.
7. Zaloshnja, E., Miller, T., Romano, E., Spicer, R., 2004. Crash costs by body part injured, fracture involvement, and threat to life severity, United States, 2000. Accident Analysis and Prevention, 36 (3), 415-427.
8. Zaloshnja, E., Miller, T., Council, F., Persaud, B., 2006. Crash costs in the United States by crash geometry. Accident Analysis and Prevention, 38, 644-651.
9. Mathers, C.D., Loncar, D., 2005. Updated projections of global mortality and burden of disease, 2002-2030： data sources, methods and results, Evidence and Information for Policy Working Paper, World Health Organization.
10. Hofman, K., Primack, A., Keusch, G., Hrynkow, S., 2005. Addressing the growing burden of trauma and injury in low- and middle-income countries. American Journal of Public Health, 95, 13-17.
11. Krug, E.G., Sharma, G.K., Lozano, R., 2000. The global burden of injuries. American Journal of Public Health, 90(4), 523-526.
12. Scallan, E., Staines, A., Fitzpatrick, P., Laffoy, M., Kelly, A., 2004. Unintentional injury in Ireland： a comparison of mortality and morbidity data. Journal of Public Health, 26(1), 6-7.
13. Segui-Gomez, M., MacKenzie, E.J., 2003. Measuring the public health impact of injuries. Epidemiologic Reviews, 25, 3-19.
14. Kleinberger, M., Sun, E., Eppinger, R., Kuppa, S., Saul, R., 1998. Development of improved injury criteria for the assessment of advanced automotive restraint systems. Washington, DC： Department of Transportation, National Highway Traffic Safety Administration.
15. 姚開屏，2000，簡介與評論常用的一般性健康相關生活品質量表兼談對未來研究的建議，中國測驗學會測驗年刊，47(2)，111-138。
16. 交通部運輸研究所，2006，道路交通事故相關資料整合系統雛形建置研究(II)－資料與系統擴充(2/2)。
17. Lai, C.H., Huang, W.S., Chang, K.K., Jeng, M.C., Doong, J.L., 2006. Using data linkage to generate 30-day crash-fatality adjustment factors for Taiwan. Accident Analysis & Prevention 38, 696-702.
18. 交通部運輸研究所(b)，2005，高齡者交通事故之短期醫療支出研究。
19. Louie, B., Mork, P., Martin-Sanchez, F., Halevy, A., Tarczy-Hornoch, P., 2006. Data integration and genomic medicine. J Biomed Inform.
20. Vailaya, A., Bluvas, P., Kincaid, R., Kuchinsky, A., Creech, M., Adler, A., 2005. An architecture for biological information extraction and representation. Bioinformatics, 21(4), 430-438.
21. Macauley, J., Wang, H., Goodman, N., 1998. A model system for studying the integration of molecular biology databases. Bioinformatics, 14(7), 575-582.
22. Kemp, G.J., Angelopoulos, N., Gray, P.M., 2002. Architecture of a mediator for a bioinformatics database federation. IEEE Trans Inf Technol Biomed, 6(2), 116-122.
23. Szirbik, N.B., Pelletier, C., Chaussalet, T., 2006. Six methodological steps to build medical data warehouses for research. Int J Med Inform.
24. Perez-Rey, D., Maojo, V., Garcia-Remesal, M., Alonso-Calvo, R., Billhardt, H., Martin-Sanchez, F., Sousa, A., 2006. ONTOFUSION： Ontology-based integration of genomic and clinical databases. Comput Biol Med, 36(7-8), 712-730.
25. Lee, H.Y., Park, E.C., Kim, H.J., Choi, J.Y., Kim, H.N., 2006. Cost-utility analysis of cochlear implants in Korea using different measures of utility. Acta Otolaryngol, 126(8), 817-23.
26. Schonbach, C., Kowalski-Saunders, P., Brusic, V., 2000. Data warehousing in molecular biology. Brief Bioinform, 1(2), 190-198.
27. Jeng, S., Wang, K., Barbero, J., Brinkley, J., Tarczy-Hornoch, P., 2005. A pilot bridging data integration and analytics： BioMediator and R AMIA Annu Symp Proc. 995.
28. Wang, K., Tarczy-Hornoch, P., Shaker, R., Mork, P., Brinkley, J.F., 2005. BioMediator data integration： beyond genomics to neuroscience data. AMIA Annu Symp Proc., 779-783.
29. Kasprzyk, A., Keefe, D., Smedley, D., London, D., Spooner, W., Melsopp, C., Hammond, M., Rocca-Serra, P., Cox, T., Birney, E., 2004. EnsMart： a generic system for fast and flexible access to biological data. Genome Res, 14(1), 160-169.
30. Lenz, R., Beyer, M., Kuhn, K.A., 2006. Semantic integration in healthcare networks. Int J Med Inform.
31. Mukherjea, S., 2005. Information retrieval and knowledge discovery utilising a biomedical Semantic Web. Brief Bioinform, 6(3), 252-262.
32. Kohler, J., Philippi, S., Lange, M., 2003. SEMEDA： Ontology based semantic integration of biological databases. Bioinformatics, 19(18), 2420-2427.
33. Mork, P., Brinkley, J.F., Rosse, C., 2003. OQAFMA Querying agent for the Foundational Model of Anatomy： a prototype for providing flexible and efficient access to large semantic networks. J Biomed Inform, 36(6), 501-517.
34. Karasavvas, K.A., Baldock, R., Burger, A., 2004. Bioinformatics integration and agent technology. Journal of Biomedical Informatics, 37, 205-219.
35. 曾守正，資料庫系統之理論與實務，儒林圖書，2001年9月22版2刷。
36. Sujansky, W., 2001. Heterogeneous Database Integration in Biomedicine. Journal of Biomedical Informatics, 34, 285-298.
37. El-Khatib, H.T., Williams, M.H., MacKinnon, L.M., Marwick, D.H., 2000. A framework and test-suite for assessing approaches to resolving heterogeneity in distributed databases. Information and Software Technology, 42, 505-515.
38. 林克韋，DW資料不一致之研究，國立中央大學資訊管理研究所，碩士論文，2002。
39. Lu, H., Fan, W., Fan, C.H., Goh, S.E., Madnick, Cheung, D.W., 2001. Discovering and Reconciling Value Conflicts for Data Integration, Information System, Vol. 26, No. 8, pp. 635-656.
40. Tan, J., Zaslavaky, A., Bond, A., 2000. Meta Object Approach to Database Schema Integration, IEEE.
41. Lim, E.P., Chiang, R.H.L., Gao, Y., 1999. Tuple source relational model： a source-aware data model for multidatabases. Data & Knowledge Engineering, 29, 83-114.
42. Kosaka, T., Tohsato, Y., Date, S., Matsuda, H., Shimojo, S., 2005. An OGSA-based integration of life-scientific resources for drug discovery. Methods Inf Med, 44(2), 257-261.
43. DeMichiel, L. G., 1989. Resolving Database Incompatibility： An Approach to Performing Relational Operations over Mismatched Domains, IEEE, Vol. 1, No. 4, pp. 485-493.
44. Madhavaram, M., Dia, L. Ali., Zhou, M., 1996. Integrating Heterogeneous Distributed Database System, 19th International Conference on Computers and Industrial Engineering, Vol. 31, No. 1/2, pp. 315-318.
45. Zhao, J. L., 1997. Schema Coordination in Federated Database Management： A Comparison with Schema Integration, Decision Support Systems, Vol. 20, pp. 243-257.
46. Roddick, J.F., 1995. A survey of schema versioning issues for database systems. Information and Software Technology, 37(7), 383-393.
47. Zhaoa, H., Ramb, S., 2005. Entity identification for heterogeneous database integration – a multiple classifier system approach and empirical evaluation. Information Systems, 30, 119-132.
48. Newcombe, H.B., 1988. Handbook of Record Linkage： Methods for Health and Statistical Studies, Administration, and Business, Oxford University Press, Oxford.
49. Fellegi, I.P., Sunter, A.B., 1969. A theory of record linkage. Journal of the American Statistical Association, 64(328), 1183-1210.
50. McClean, S., Scotney, B., Morrow, P., Greer, K., 2005. Knowledge discovery by probabilistic clustering of distributed databases. Data & Knowledge Engineering, 54, 189-210.
51. Swertz, M.A., De Brock, E.O., Van Hijum, S.A., De Jong, A., Buist, G., Baerends, R.J., Kok, J., Kuipers, O.P., Jansen, R.C., 2004. Molecular Genetics Information System (MOLGENIS)： Alternatives in developing local experimental genomics databases. Bioinformatics, 20(13), 2075-2083.
52. Markowitz, V.M., Ritter, O., 1995. Characterizing Heterogeneous Molecular Biology Database Systems. Journal of Computational Biology, 2 (4), 547-556.
53. Johnson, S. W., Walker, J., Utter, D., 1996. Research Note： Crash Outcome Data Evaluation System (CODES) Project Safety Belts and Helmet Analysis. Washington, DC： Department of Transportation, National Highway Traffic Safety Administration, February.
54. 交通部運輸研究所(a)，2005，道路交通事故相關資料整合系統雛形建置研究(II)－資料與系統擴充(1/2)。
55. Carol, G., Diana, R., John, B., 2002. Inside the Western Australian Data Linkage System. Symposium on Health Data Linkage. Tusculum House Auditorium Potts Point, Sydney, NSW.
56. Vijaya, S., Toni, M. H., Michael, A., Ric, M., Linkage of the Victorian Admitted Episodes Dataset, Symposium on Health Data Linkage, 20-21 March 2002 Tusculum House Auditorium Potts Point, Sydney, NSW.
57. Moore, M., 1998. Comparison of Young and Adult Driver Crashes in Alaska Using Linked Traffic Crash and Hospital Data (DOT HS 808). Washington, DC：Department of Transportation, National Highway Traffic Safety Administration.
58. Zuckier, G., Jacobs, L., Thibeault, L., 1999. Using Linked Data To Evaluate Medical and Financial Outcomes of Motor Vehicle Crashes in Connecticut. DOT HS 808 972. Washington, DC： Department of Transportation, National Highway Traffic Safety Administration, September.
59. Rosman, D.L., Knuiman, M.W., Ryan, G.A., 1996. An evaluation of road crash injury severity measures. Accident Analysis and Prevention, 28 (2), 163-170.
60. Nikolic, S., Micic, J., Mihailovic, Z., 2001. Correlation between survival time and severity of injuries in fatal injuries in traffic accidents. Srp Arh Celok Lek. 129 (11-12), 291-295.
61. Miller, T.R., Blewden, M., 2001. Costs of alcohol-related crashes： New Zealand estimates and suggested measures for use internationally. Accident Analysis and Prevention, 33 (6), 783-791.
62. Schinkel, C., Frangen, T.M., Kmetic, A., Andress, H.J., Muhr, G., 2006. Timing of thoracic spine stabilization in trauma patients： Impact on clinical course and outcome. Journal of Trauma, 61 (1), 156-160.
63. Johns Hopkins University, Tri-Analytics, I, 1997. ICDMAP-90 Software User’s Guide.
64. Association for the Advancement of Automotive Medicine, 1990. The abbreviated injury scale, 1990. Association for the Advancement of Automotive Medicine, Des Plaines, IL.
65. Begg, D.J., Langley, J.D., Reeder, A.I., 1994. Motorcycle crashes in New Zealand resulting in death and hospitalization. I： Introduction methods and overview. Accident Analysis and Prevention, 26 (2), 157-164.
66. Langley, J.D., Begg, D.J., Reeder, A.I., 1994. Motorcycle crashes in New Zealand resulting in death and hospitalization. II： Traffic crashes. Accident Analysis and Prevention, 26 (2), 165-171.
67. Jacobs, G., Aeron-Thomas, A., Astrop, A., 2000. Estimating Global Road Fatalities. Transport Research Laboratory, UK.
68. Miller, T.R., 1993. Costs and functional consequences of U.S. roadway crashes. Accident Analysis and Prevention, 25 (5), 593-607.
69. Miller, T.R., Lestina, D.C., Spicer, R.S., 1998. Highway crash costs in the United States by driver age, blood, blood alcohol level, victim age, and restraint use. Accident Analysis and Prevention, 30 (2), 137-150.
70. Ryb, G.E., 2006. Crash and occupant determinants of body regions of injury. CIREN Quarterly Meeting March 28, 2006.
71. Wang, S., Rupp, J.D., 2006. Alterations in body composition and injury patterns with aging. CIREN Quarterly Meeting March 28, 2006.
72. Urban and Housing Development Department, 2003. Urban and regional development statistics, Republic of China 2003.Taipei, ROC: Council for Economic Planning and Development Retrieved March 31, 2008, from http://www.cepd.gov.tw/m1.aspx?sNo=0000824&key=&ex=%20&ic=&cd=
73. Department of Statistics, Ministry of Transportation and Communications, 2003. Statistical Abstract of Transportation and Communications 2002, Republic of China. Taipei, ROC: Department of Statistics, Ministry of Transportation and Communications. July, 2003.
74. Aptel, I., Salmi, L.R., Masson, F., Bourdé, A., Henrion, G., Erny, P., 1999. Road accident statistics: discrepancies between police and hospital data in a French island. Accident Analysis & Prevention, 31, 101-108.
75. Baker, S.P., Whitfield, R.A., O'Neil, B., 1987. Geographic variations in mortality from motor vehicle crashes. New England Journal of Medicine, 316, 1384.
76. Clark, D.E., Cushing, B.M., 2004. Rural and urban traffic fatalities, vehicle miles, and population density. Ccident Analysis & Prevention, 36, 967−972.
77. Muelleman, R.L., Wadman, M.C., Tran, T.P., Ullrich, F., Anderson, J.R., 2007. Rural motor vehicle crash risk of death is higher after controlling for injury severity. Journal of Trauma: Injury, Infections, and Critical Care 62 (1), 221-225.
78. Zwerling, C., Peek–Asa, C., Whitten, P. S., Choi, S.W., Sprince, N.L., & Jones, M.P., 2005. Fatal motor vehicle crashes in rural and urban areas: decomposing rates into contributing factors. Injury Prevention, 11, 24−28.
79. Cummings, P., Wells, J.D., & Rivara, F.P., 2003. Estimating seat belt effectiveness using matched-pair cohort methods. Accident Analysis & Prevention, 35(1), 143−149.
80. Evans, L., Frick, M.C., 1988. Seating position in cars and fatality risk. American Journal of Public Health, 78(11), 1456−1458.
81. Valent, F., Schiava, F., Savonitto, C., Gallo, T., Brusaferro, S., Barbone, F., 2002. Risk factors for fatal road traffic accidents in Udine, Italy. Accident Analysis & Prevention, 34(1), 71−84.
82. Muelleman, R.L., Mueller, K., 1996. Fatal motor vehicle crashes: variations of crash characteristics within rural regions of different population densities. The Journal of Trauma: Injury, Infections, and Critical Care, 41(2), 315−321.
83. Bédard, M., Guyatt, G.H., Stones, M.J., Hirdes, J.P., 2002. The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. Accident Analysis & Prevention, 34(6), 717−727.
84. Nilsson, G., 2004. Traffic Safety dimensions and the Power Model to Describe the Effect of Speed on Safety. Lund, Sweden: Lund Institute of Technology and Society, Lund University.
85. Gonzalez, R.P., Cummings, G., Mulekar, M., Rodning, C.B., 2006. Increased mortality in rural vehicular trauma: identifying contributing factors through data linkage. Journal of Trauma: Injury, Infections, and Critical Care, 61(2), 404−409.
86. Champion, H.R., 2001. Reducing highway deaths and disabilities with automatic wireless transmission of serious injury probability ratings from vehicles in crashes to EMS. Proceeding of the 17th Enhanced Safety of Vehicles Conference Washington, US: National Highway Traffic Safety Administration.
87. Lerner, E.B., Blatt, A., Flanigan, M., Pirson, H., Jehle, D., 2001. Potential effects of automatic crash notification (ACN) on air medical services: trauma scene transport utilization patterns. In: Proceeding of the 17th Enhanced Safety of Vehicles Conference. Washington, US: National Highway Traffic Safety Administration.
88. La Torre, G., Van Beeck, E., Bertazzoni, G., Ricciardi, W., 2007. Head injury resulting from scooter accidents in Rome: differences before and after implementing a universal helmet law. The European Journal of Public Health, 17(6), 607−611.
89. Servadei, F., Begliomini, C., Gardini, E., Giustini, M., Taggi, F., Kraus, J., 2003. Effect of Italy's motorcycle helmet law on traumatic brain injuries. Injury Prevention, 9(3), 257−260.
90. Wisborg, T., Hoylo, T., Siem, G., 2003. Death after injury in rural Norway: high rate of mortality and prehospital death. Acta Anaesthesiologica Scandinavica, 47, 153−156.
91. Chiara, O., Scott, J.D., Cimbanassi, S., Marini, A., Zoia, R., Rodriguez, A., et al., 2002. Trauma deaths in an Italian urban area: an audit of pre-hospital and in-hospital trauma care. Injury, 33(7), 553−562.
92. National Police Agency, Ministry of the Interior. Annual Statistics of Police. Retrieved December 4, 2008, from http://www.npa.gov.tw/NPAGip/wSite/ct?xItem=26921&ctNode=11395&mp=1
93. Yamamoto, T., Shankar, V.N., 2004. Bivariate ordered-response probit model of driver’s and passenger’s injury severities in collisions with fixed objects. Accident Analysis & Prevention 36, 869-876.
94. Woodall, W.G., Kunitz, S.J., Zhao, H., Wheeler, D.R., Westerberg, V., Davis, J., 2004. The prevention paradox, traffic safety, and driving-while-intoxicated treatment. American Journal of Preventive Medicine 27 (2), 106-111.
95. Li, M.D., Doong, J.L., Chang, K.K., Lu, T.H., Jeng, M.C., 2008. Differences in urban and rural accident characteristics and medical service utilization for traffic fatalities in less-motorized societies. Journal of Safety Research 39 (6), 623-630.
96. Abdel-Aty, M., 2003. Analysis of driver injury severity levels at multiple locations using ordered probit models. Journal of Safety Research 34, 597- 603.
97. Jones, A.P., Jorgensen, S.H., 2003. The use of multilevel models for the prediction of road accident outcomes. Accident Analysis & Prevention 35, 59-69.
98. Yamane, G.K., Bradshaw, B.S., 2008. Motor vehicle driver death and high state maximum speed limits: 1991–1993. Accident Analysis & Prevention 40, 1690-1694.
99. Shankar, V., Mannering, F., Barfield, W., 1996. Statistical analysis of accident severity on rural freeways. Joumal of Safety Research 28 (3), 391-401.
100. Martin, J.L., Lenguerrand, E., 2008. A population based estimation of the driver protection provided by passenger cars: France 1996–2005. Accident Analysis & Prevention 40, 1811-1821.
101. Holdridge, J.M., Shankar, V.N., Ulfarsson, G.F., 2005. The crash severity impacts of fixed roadside objects. Journal of Safety Research 36, 139-147.
102. Lee, J., Mannering, F., 2002. Impact of roadside features on the frequency and severity of run-off-roadway accidents: an empirical analysis. Accident Analysis & Prevention 34, 149-161.
103. Savolainen, P., Mannering, F., 2007. Probabilistic models of motorcyclists’ injury severities in single- and multi-vehicle crashes. Accident Analysis & Prevention 39, 955-963.
104. Shankar, V., Mannering, F., 1996. An exploratory multinomial logit analysis of single-vehicle motorcycle accident severity. Joumal of Safety Research 27 (3), 183-194.
105. Quddus, M.A., Noland, R.B., Chin, H.C., 2002. An analysis of motorcycle injury and vehicle damage severity using ordered probit models. Journal of Safety Research 33, 445-462.

指導教授

鄭銘章(Ming-Chang Jeng)

審核日期

2009-7-22

推文