秘鲁丛林道路上事故型伤亡的几率

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Angela Denisse Huaman Meza, Gian Carlos Meza Soto, Jahir Chuquillanqui Guillen, Giovene Pérez Campomanes
{"title":"秘鲁丛林道路上事故型伤亡的几率","authors":"Angela Denisse Huaman Meza, Gian Carlos Meza Soto, Jahir Chuquillanqui Guillen, Giovene Pérez Campomanes","doi":"10.5267/j.dsl.2023.3.003","DOIUrl":null,"url":null,"abstract":"The current analysis analyzed the odds of casualties by road accidents. Hence, data were classified into tertiles for better research, and accident types were classified into five following the authority methodology: rollovers, crash, roadway departure, special accident, and car capsizing. Multi-logistic regression was employed for the data analysis. This research found that rollover was the most deadly accident, and the crash was the most probable to cause injuries.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The odds of accident-type casualties in a Peruvian jungle road\",\"authors\":\"Angela Denisse Huaman Meza, Gian Carlos Meza Soto, Jahir Chuquillanqui Guillen, Giovene Pérez Campomanes\",\"doi\":\"10.5267/j.dsl.2023.3.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current analysis analyzed the odds of casualties by road accidents. Hence, data were classified into tertiles for better research, and accident types were classified into five following the authority methodology: rollovers, crash, roadway departure, special accident, and car capsizing. Multi-logistic regression was employed for the data analysis. This research found that rollover was the most deadly accident, and the crash was the most probable to cause injuries.\",\"PeriodicalId\":38141,\"journal\":{\"name\":\"Decision Science Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Decision Science Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5267/j.dsl.2023.3.003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Science Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5267/j.dsl.2023.3.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

目前的分析分析了道路交通事故造成人员伤亡的几率。因此,为了更好地进行研究,将数据分类为四类,并按照权威方法将事故类型分为五类:翻车、撞车、道路偏离、特殊事故和翻车。采用多元逻辑回归对数据进行分析。这项研究发现,翻车是最致命的事故,撞车是最可能造成伤害的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The odds of accident-type casualties in a Peruvian jungle road
The current analysis analyzed the odds of casualties by road accidents. Hence, data were classified into tertiles for better research, and accident types were classified into five following the authority methodology: rollovers, crash, roadway departure, special accident, and car capsizing. Multi-logistic regression was employed for the data analysis. This research found that rollover was the most deadly accident, and the crash was the most probable to cause injuries.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信