Improving timeliness and accuracy of data on road traffic injury severity in an emerging economy setting

研究成果: 會議貢獻類型其他

摘要

Road traffic accidents (RTAs) are among the leading causes of injury and fatality worldwide. Currently, the casualty of RTAs is continuously increasing in Taiwan; however, because of the lack of an advanced method to classify data regarding the injury severity in RTAs and the fragmentation of the original sources of these data, the road traffic safety authorities encounter difficulties in analyzing the epidemiology of injury patterns and mechanisms of RTAs as well as the effects on the victims, their families, and national resources. These difficulties may lead to blind spots during policy making. Our study reports the current situation of RTA data collection in Taiwan and the sources of domestic RTA injury data. After reviewing the classification methods of RTA injury severity applied in developed countries, we analyzed the difficulties of injury prevention that are caused by a lack of effective classification of RTA injury severity in Taiwan. We also examined the fragmentation of sources of domestic RTA injury data and its influences. We then proposed a method for classifying injury severity and a potential model for the timely collection and integration of these data. Finally a comparison among different models for collecting RTA injury data was completed.
原文英語
出版狀態已發佈 - 十月 2018
事件the 26th World ITMA Congress -
持續時間: 十月 30 2018十一月 1 2018

會議

會議the 26th World ITMA Congress
期間10/30/1811/1/18

指紋

Traffic Accidents
Wounds and Injuries
Taiwan
Data Accuracy
Policy Making
Information Storage and Retrieval
Optic Disk
Developed Countries
Epidemiology
Safety

引用此文

Improving timeliness and accuracy of data on road traffic injury severity in an emerging economy setting. / Shu Kei Lam, Carlos; Hung, Kuo-Sheng; Chiu, Wen-Ta.

2018. the 26th World ITMA Congress, .

研究成果: 會議貢獻類型其他

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title = "Improving timeliness and accuracy of data on road traffic injury severity in an emerging economy setting",
abstract = "Road traffic accidents (RTAs) are among the leading causes of injury and fatality worldwide. Currently, the casualty of RTAs is continuously increasing in Taiwan; however, because of the lack of an advanced method to classify data regarding the injury severity in RTAs and the fragmentation of the original sources of these data, the road traffic safety authorities encounter difficulties in analyzing the epidemiology of injury patterns and mechanisms of RTAs as well as the effects on the victims, their families, and national resources. These difficulties may lead to blind spots during policy making. Our study reports the current situation of RTA data collection in Taiwan and the sources of domestic RTA injury data. After reviewing the classification methods of RTA injury severity applied in developed countries, we analyzed the difficulties of injury prevention that are caused by a lack of effective classification of RTA injury severity in Taiwan. We also examined the fragmentation of sources of domestic RTA injury data and its influences. We then proposed a method for classifying injury severity and a potential model for the timely collection and integration of these data. Finally a comparison among different models for collecting RTA injury data was completed.",
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AU - Shu Kei Lam, Carlos

AU - Hung, Kuo-Sheng

AU - Chiu, Wen-Ta

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N2 - Road traffic accidents (RTAs) are among the leading causes of injury and fatality worldwide. Currently, the casualty of RTAs is continuously increasing in Taiwan; however, because of the lack of an advanced method to classify data regarding the injury severity in RTAs and the fragmentation of the original sources of these data, the road traffic safety authorities encounter difficulties in analyzing the epidemiology of injury patterns and mechanisms of RTAs as well as the effects on the victims, their families, and national resources. These difficulties may lead to blind spots during policy making. Our study reports the current situation of RTA data collection in Taiwan and the sources of domestic RTA injury data. After reviewing the classification methods of RTA injury severity applied in developed countries, we analyzed the difficulties of injury prevention that are caused by a lack of effective classification of RTA injury severity in Taiwan. We also examined the fragmentation of sources of domestic RTA injury data and its influences. We then proposed a method for classifying injury severity and a potential model for the timely collection and integration of these data. Finally a comparison among different models for collecting RTA injury data was completed.

AB - Road traffic accidents (RTAs) are among the leading causes of injury and fatality worldwide. Currently, the casualty of RTAs is continuously increasing in Taiwan; however, because of the lack of an advanced method to classify data regarding the injury severity in RTAs and the fragmentation of the original sources of these data, the road traffic safety authorities encounter difficulties in analyzing the epidemiology of injury patterns and mechanisms of RTAs as well as the effects on the victims, their families, and national resources. These difficulties may lead to blind spots during policy making. Our study reports the current situation of RTA data collection in Taiwan and the sources of domestic RTA injury data. After reviewing the classification methods of RTA injury severity applied in developed countries, we analyzed the difficulties of injury prevention that are caused by a lack of effective classification of RTA injury severity in Taiwan. We also examined the fragmentation of sources of domestic RTA injury data and its influences. We then proposed a method for classifying injury severity and a potential model for the timely collection and integration of these data. Finally a comparison among different models for collecting RTA injury data was completed.

M3 - Other

ER -