{"title":"使用分类主成分分析和随机参数方法评估摩托车手损伤严重程度的时间不稳定性","authors":"Qiong Yu, Yue Zhou, Chuan Xu, Eskindir Ayele Atumo, Xinguo Jiang","doi":"10.1080/19439962.2023.2214509","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":205624,"journal":{"name":"Journal of Transportation Safety & Security","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means\",\"authors\":\"Qiong Yu, Yue Zhou, Chuan Xu, Eskindir Ayele Atumo, Xinguo Jiang\",\"doi\":\"10.1080/19439962.2023.2214509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":205624,\"journal\":{\"name\":\"Journal of Transportation Safety & Security\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Transportation Safety & Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19439962.2023.2214509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transportation Safety & Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19439962.2023.2214509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means