文章基本信息

标题：Sampling bias and weight factors for in-depth motorcycle crash data in Thailand
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作者：Naravit Thongnak ; Kunnawee Kanitpong ; Tomofumi Saitoh 等
期刊名称：IATSS Research
印刷版ISSN：0386-1112
出版年度：2022
卷号：46
期号：1-2
页码：322-328
语种：English
出版社：Elsevier
摘要：Motorcycle crashes are documented in Thailand's national records but are underreported and lacking detail. In-depth motorcycle crash data, collected by Thailand Accident Research Center (TARC), contains a smaller number of motorcycle crashes but more detail. However, to draw conclusions at a national level, representativeness of the TARC in-depth data is currently unknown, and the correction of sampling biases may be required. In this study, the Capture-recapture method was used to examine the underreporting in the national crash data (from the government insurance company). It was found that 69% of fatal and 70% of non-fatal injuries were underreported, respectively. The in-depth crash data was found to be biased. The weighting methods poststratification and iterative proportional fitting were applied to compensate for the bias and are shown to improve the representativeness of the in-depth motorcycle crash data. Weighted in-depth crash data appears to be suitable to draw conclusions on motorcyclist safety in Thailand.
关键词：In-depth crash data;National crash data;Underreporting: Capture-recapture;Post-stratification;Iterative proportional fitting