Examining Injury Severity of Not-At-Fault Drivers in Two-Vehicle Crashes

被引:6
|
作者
Penmetsa, Praveena [1 ]
Pulugurtha, Srinivas S. [1 ]
Duddu, Venkata R. [1 ]
机构
[1] Univ N Carolina, William States Lee Coll Engn, Dept Civil & Environm Engn, 9201 Univ City Blvd, Charlotte, NC 28223 USA
关键词
D O I
10.3141/2659-18
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The focus of this paper is to examine the injury severity of not-at-fault drivers in two-vehicle crashes. North Carolina crash data collected from 2009 to 2013 were used for the analysis. Ordered probit model was initially chosen because of the ordinal nature of the dependent variable (injury severity of the driver not at fault). However. the data failed to obey the proportional odds assumption accompanied with the ordered probit model. Therefore, a partial proportional model was fitted for two-vehicle crashes. Compared with the physical condition of at-fault drivers, the physical condition of not-at-fault drivers had a greater effect on the severity of injury to the not-at-fault drivers. Exceeding the speed limit, aggressive or reckless driving, and going the wrong way are the three traffic rule violations of at-fault drivers that are more likely to result in severe injuries to not-at-fault drivers than disregarding traffic signs. signals, and markings. Similarly, a crash involving an at-fault driver with violations of two and three traffic rules is 1.68 and 2.86 times likely to result in severe injuries to not-at-fault drivers compared with a crash involving an at-fault driver with only one traffic rule violation. Motorcyclists are observed to be highest risk with the odds of severe injury to motorcyclists who are not at fault. Crashes with female at-fault drivers are less likely to result in severe injury to the not-at-fault drivers. Female drivers are also more likely to be severely injured when they are not at fault.
引用
收藏
页码:164 / 173
页数:10
相关论文
共 50 条
  • [31] Pedestrian-injury severity analysis in pedestrian-vehicle crashes with familiar and unfamiliar drivers
    Xue, Gang
    Wen, Huiying
    [J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2024, 20 (01) : 36 - 36
  • [32] Injury Severity Prediction From Two-Vehicle Crash Mechanisms With Machine Learning and Ensemble Models
    Ji, Ang
    Levinson, David
    [J]. IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 1 : 217 - 226
  • [33] Copula-Based Method for Addressing Endogeneity in Models of Severity of Traffic Crash Injuries Application to Two-Vehicle Crashes
    Rana, Tejsingh A.
    Sikder, Sujan
    Pinjari, Abdul Rawoof
    [J]. TRANSPORTATION RESEARCH RECORD, 2010, (2147) : 75 - 87
  • [34] Two-Vehicle Injury Severity Models Based on Integration of Pavement Management and Traffic Engineering Factors
    Jiang, Ximiao
    Huang, Baoshan
    Yan, Xuedong
    Zaretzki, Russell L.
    Richards, Stephen
    [J]. TRAFFIC INJURY PREVENTION, 2013, 14 (05) : 544 - 553
  • [35] Examining injury severity in left turning crashes at intersections
    Wang, Yong-gang
    Peng, Hui
    Xiang, Wen-sen
    Pei, Yu-long
    [J]. PERIODICA POLYTECHNICA-CIVIL ENGINEERING, 2011, 55 (02): : 191 - 197
  • [36] Modelling two-vehicle crash severity by generalized estimating equations
    Chiou, Yu-Chiun
    Fu, Chiang
    Ke, Chia-Yen
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2020, 148 (148):
  • [37] Modelling the Injury Severity of Heavy Vehicle Crashes in Australia
    Vajari, Mohammad Abrari
    Aghabayk, Kayvan
    Sadeghian, Mohammad
    Moridpour, Sara
    [J]. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2022, 46 (02) : 1635 - 1644
  • [38] Injury Severity, Vehicle Safety Features, and Intersection Crashes
    Obeng, K.
    [J]. TRAFFIC INJURY PREVENTION, 2008, 9 (03) : 268 - 276
  • [39] Modelling the Injury Severity of Heavy Vehicle Crashes in Australia
    Mohammad Abrari Vajari
    Kayvan Aghabayk
    Mohammad Sadeghian
    Sara Moridpour
    [J]. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2022, 46 : 1635 - 1644
  • [40] Injury Severity Analysis in Vehicle-Pedestrian Crashes
    Chung, Younshik
    Song, Tai-Jin
    Kim, Juyoung
    [J]. ADVANCES IN HUMAN ASPECTS OF TRANSPORTATION, 2018, 597 : 884 - 892