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分析不同运动状态下公交车乘客的损伤严重程度。

Analyzing injury severity of bus passengers with different movements.

作者信息

Li Duo, Zhao Yifei, Bai Qiang, Zhou Bei, Ling Hongbiao

机构信息

a Highway School, Chang'an University , Xi'an , Shaanxi , China.

b Highway Bureau of Zhejiang Province , Hangzhou , Zhejiang , China.

出版信息

Traffic Inj Prev. 2017 Jul 4;18(5):528-532. doi: 10.1080/15389588.2016.1262950. Epub 2016 Nov 28.

DOI:10.1080/15389588.2016.1262950
PMID:27893288
Abstract

OBJECTIVE

Though public transport vehicles are rarely involved in mass casualty accidents, when they are, the number of injuries and fatalities is usually high due to the high passenger capacity. Of the few studies that have been conducted on bus safety, the majority focused on vehicle safety features, road environmental factors, as well as driver characteristics. Nevertheless, few studies have attempted to investigate the underlying risk factors related to bus occupants. This article presents an investigation aimed at identifying the risk factors affecting injury severity of bus passengers with different movements.

METHOD

Three different passenger movement types including standing, seated, and boarding/alighting were analyzed individually using classification and regression tree (CART) method based on publicly available accident database of Great Britain.

RESULTS

According to the results of exploratory analyses, passenger age and vehicle maneuver are associated with passenger injury severity in all 3 types of accidents. Moreover, the variable "skidding and overturning" is associated with injury severity of seated passengers and driver age is correlated with injury severity of standing and boarding/alighting passengers.

CONCLUSIONS

The CART method shows its ability to identify and easily explain the complicated patterns affecting passenger injury severity. Several countermeasures to reduce bus passenger injury severity are recommended.

摘要

目的

尽管公共交通工具很少卷入大规模伤亡事故,但一旦发生,由于乘客容量大,伤亡人数通常会很高。在已开展的少数关于公交安全的研究中,多数聚焦于车辆安全特性、道路环境因素以及驾驶员特征。然而,几乎没有研究试图调查与公交乘客相关的潜在风险因素。本文呈现了一项旨在识别影响不同移动状态公交乘客受伤严重程度的风险因素的调查。

方法

基于英国公开的事故数据库,使用分类回归树(CART)方法分别对三种不同的乘客移动类型(站立、就座、上下车)进行分析。

结果

根据探索性分析结果,在所有三类事故中,乘客年龄和车辆操控与乘客受伤严重程度相关。此外,“打滑和翻车”变量与就座乘客的受伤严重程度相关,驾驶员年龄与站立及上下车乘客的受伤严重程度相关。

结论

CART方法显示出其识别并轻松解释影响乘客受伤严重程度的复杂模式的能力。推荐了几种降低公交乘客受伤严重程度的对策。

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