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西班牙货运和客运专业司机工作中交通事故的多维度预测

Multidimensional prediction of work traffic crashes among Spanish professional drivers in cargo and passenger transportation.

作者信息

Useche Sergio A, Cendales Boris, Alonso Francisco, Montoro Luis

机构信息

University of Valencia, Spain.

Faculty of Economic and Administrative Sciences, El Bosque University, Colombia.

出版信息

Int J Occup Saf Ergon. 2022 Mar;28(1):20-27. doi: 10.1080/10803548.2020.1732102. Epub 2020 Apr 10.

DOI:10.1080/10803548.2020.1732102
PMID:32276556
Abstract

The aim of this study was to examine the effect of different environmental, mechanical and individual factors associated with fatalities and serious injuries caused by work traffic accidents among cargo and passenger transport drivers (CPTD) in Spain. For this cross-sectional study, national data on work traffic accidents collected in Spain during the last 3 years were analyzed through a regression modeling approach, in order to predict the severity of traffic crashes involving CPTD. Using binary logistic regression analyses, it was found that the type of road and accident, the meteorological, light and vehicle conditions, individual characteristics and risky driving behaviors significantly predict the risk of fatal work traffic accidents and serious injuries. These findings highlight the importance of combining organizational efforts with national road safety policies in order to generate a traffic safety culture among CPTD.

摘要

本研究的目的是调查与西班牙货运和客运司机(CPTD)工作交通事故导致的死亡和重伤相关的不同环境、机械和个人因素的影响。对于这项横断面研究,通过回归建模方法分析了西班牙过去3年收集的工作交通事故的国家数据,以预测涉及CPTD的交通事故的严重程度。使用二元逻辑回归分析发现,道路和事故类型、气象、光照和车辆状况、个人特征以及危险驾驶行为显著预测了致命工作交通事故和重伤的风险。这些发现凸显了将组织努力与国家道路安全政策相结合以在CPTD中营造交通安全文化的重要性。

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