中国过失司机和酒驾导致的道路交通死亡:2017-2020 年期间的时空分析

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Spatial and Spatio-Temporal Epidemiology Pub Date : 2024-10-19 DOI:10.1016/j.sste.2024.100695
Feng Li , Yu Cheng Hsu , Yunyu Xiao , Paul S.F. Yip , Feng Yang
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引用次数: 0

摘要

在中国,人们对酒精在道路交通死亡(RTD)中所起的作用知之甚少。本研究计算了 2017-2020 年期间中国省市两级每 10 万人因过失驾驶和酒后驾驶导致的道路交通死亡率。应用空间滞后模型测算了酒驾RTD率对过失驾驶RTD率的影响。此外,还评估了七个地理区域、六个城市级别、三个民族和六个社会经济因素对酒后驾驶和过失致残率的影响。结果表明,酒后驾车的实时交通事故发生率与过失实时交通事故发生率呈正相关。人均 GDP 与酒后驾车 RTD 率呈负相关,但失业率呈正相关。这项研究强调了酒后驾车对总体过失行为的影响。加强禁止酒后驾车的交通法规和普遍意识可以降低酒后驾车肇事率。
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Road traffic deaths caused by at-fault drivers and drinking-driving in China: A spatiotemporal analysis of the 2017–2020 period
In China, the role that alcohol plays in road traffic deaths (RTDs) is poorly understood. In this study, RTD rates caused by at-fault drivers and drinking-driving by cases per 100,000 people were calculated at the city and provincial levels in China during 2017–2020. Spatial lag modeling was applied to measure the influence of drinking-driving RTD rates on at-fault RTD rates. In addition, the influence of seven geographic regions, six city tiers, three ethnicities, and six socioeconomic factors on drinking-driving and at-fault RTD rates was assessed. Drinking-driving RTD rates were positively associated with at-fault RTD rates. GDP per capita was negatively associated with drinking-driving RTD rates, but unemployment rates were positively associated. This study highlights the influence of drinking-driving on overall at-fault behavior. The reinforcement of traffic regulations against drinking-driving and general awareness could reduce RTD rates.
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来源期刊
Spatial and Spatio-Temporal Epidemiology
Spatial and Spatio-Temporal Epidemiology PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
5.10
自引率
8.80%
发文量
63
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