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  • 标题:Multinomial Logit Analysis of Injury Severity in Crashes Involving Emotional Drivers
  • 本地全文:下载
  • 作者:Kristen Hubbert ; Mehrnaz Doustmohammadi
  • 期刊名称:International Journal of Psychology and Behavioral Sciences
  • 印刷版ISSN:2163-1948
  • 电子版ISSN:2163-1956
  • 出版年度:2019
  • 卷号:9
  • 期号:4
  • 页码:63-70
  • DOI:10.5923/j.ijpbs.20190904.02
  • 语种:English
  • 出版社:Scientific & Academic Publishing Co.
  • 摘要:Crashes involving emotional or aggressive driving pose a large problem in the United States today. This study attempts to identify significant factors influencing crash severity in crashes involving emotional drivers and their effects on the levels of severity. 3 levels of severity are considered in the study: fatal/incapacitating injuries, possible/minor injuries, and property damage only. A multinomial logit model was applied to the data with crash severity as the response variable to an initial 17 independent variables, including driver, vehicle, traffic, roadway, geometric, and environmental characteristics. Results of the model were compared against similar model results for normal driving crashes. Rural/urban, primary contributing circumstance, manner of crash, vehicle maneuvers, and speed limit were all shown to be significant factors in the severity of emotional driving crashes. Results of the study found that emotional and normal driving crashes experience similar trends in crash severity risks.
  • 关键词:Injury Severity; Safety; Emotional Driving; Multinomial Logit Regression
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