The effect of passengers on driver-injury severities in single-vehicle crashes: A random parameters heterogeneity-in-means approach

The effect of passengers on driver-injury severities in single-vehicle crashes: A random parameters heterogeneity-in-means approach
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DOI:
10.1016/j.amar.2017.04.001
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发表时间:
2017-06-01
影响因子:
12.9
通讯作者:
Mannering, Fred
Mannering, Fred
中科院分区:
工程技术1区
文献类型:
--
作者:
Behnood, Ali;Mannering, Fred

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本文旨在调查乘客对驾驶员损伤严重程度的影响。使用单车碰撞,估计一个随机参数logit模型与异质性的参数均值,以探讨驾驶员受伤的严重程度在三个不同的亚组的差异;车辆与一个乘员(驾驶员),车辆与两个乘员(驾驶员和乘客),和车辆与三个乘员(驾驶员和两名乘客)。除了考虑年龄、性别和乘客的存在外,还考虑了可能影响驾驶员受伤严重程度的各种变量,包括天气条件、道路特征、车辆特征和驾驶员属性。估计结果表明,年龄和性别的乘客(S)显着影响驾驶员伤害的严重程度。这项研究的结果指出,需要进一步研究司机和乘客之间潜在的复杂互动。(C)2017爱思唯尔有限公司版权所有
This paper seeks to investigate the effects of passengers on driver-injury severities. Using single-vehicle crashes, a random parameters logit model with heterogeneity in parameter means is estimated to explore the differences in driver-injury severities in three distinct subgroups; vehicles with one occupant (driver-only), vehicles with two occupants (driver and a passenger), and vehicles with three occupants (driver and two passengers). In addition to considering age, gender and the presence of the passenger(s), a wide range of variables that potentially affect driver-injury severity were considered, including weather conditions, roadway characteristics, vehicle characteristics and driver attributes. Estimation results show that both the age and the gender of the passenger(s) significantly affected driver-injury severities. The findings of this research point toward the need to further study the potentially complex interactions between drivers and passengers. (C) 2017 Elsevier Ltd. All rights reserved.