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审视中国道路交通死亡率状况:一项模拟研究

Examining Road Traffic Mortality Status in China: A Simulation Study.

作者信息

Huang Helai, Yin Qingyi, Schwebel David C, Li Li, Hu Guoqing

机构信息

Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha, 410075, China.

Department of Psychology, University of Alabama at Birmingham, Birmingham, 35294, United States of America.

出版信息

PLoS One. 2016 Apr 12;11(4):e0153251. doi: 10.1371/journal.pone.0153251. eCollection 2016.

Abstract

BACKGROUND

Data from the Chinese police service suggest substantial reductions in road traffic injuries since 2002, but critics have questioned the accuracy of those data, especially considering conflicting data reported by the health department.

METHODS

To address the gap between police and health department data and to determine which may be more accurate, we conducted a simulation study based on the modified Smeed equation, which delineates a non-linear relation between road traffic mortality and the level of motorization in a country or region. Our goal was to simulate trends in road traffic mortality in China and compare performances in road traffic safety management between China and 13 other countries.

RESULTS

Chinese police data indicate a peak in road traffic mortalities in 2002 and a significant and a gradual decrease in population-based road traffic mortality since 2002. Health department data show the road traffic mortality peaked in 2012. In addition, police data suggest China's road traffic mortality peaked at a much lower motorization level (0.061 motor vehicles per person) in 2002, followed by a reduction in mortality to a level comparable to that of developed countries. Simulation results based on health department data suggest high road traffic mortality, with a mortality peak in 2012 at a moderate motorization level (0.174 motor vehicles per person). Comparisons to the other 13 countries suggest the health data from China may be more valid than the police data.

CONCLUSION

Our simulation data indicate China is still at a stage of high road traffic mortality, as suggested by health data, rather than a stage of low road traffic mortality, as suggested by police data. More efforts are needed to integrate safety into road design, improve road traffic management, improve data quality, and alter unsafe behaviors of pedestrians, drivers and passengers in China.

摘要

背景

中国警方的数据显示,自2002年以来道路交通伤害大幅减少,但批评人士质疑这些数据的准确性,尤其是考虑到卫生部门报告的数据相互矛盾。

方法

为了弥合警方与卫生部门数据之间的差距,并确定哪类数据可能更准确,我们基于修正后的斯米德方程进行了一项模拟研究,该方程描述了一个国家或地区道路交通死亡率与机动车化水平之间的非线性关系。我们的目标是模拟中国道路交通死亡率的趋势,并比较中国与其他13个国家在道路交通安全管理方面的表现。

结果

中国警方数据显示,2002年道路交通死亡率达到峰值,自2002年以来基于人口的道路交通死亡率显著且逐渐下降。卫生部门数据显示,道路交通死亡率在2012年达到峰值。此外,警方数据表明,中国的道路交通死亡率在2002年以低得多的机动车化水平(人均0.061辆机动车)达到峰值,随后死亡率降至与发达国家相当的水平。基于卫生部门数据的模拟结果显示道路交通死亡率很高,在2012年以中等机动车化水平(人均0.174辆机动车)达到死亡率峰值。与其他13个国家的比较表明,中国的卫生数据可能比警方数据更可靠。

结论

我们的模拟数据表明,中国仍处于道路交通死亡率较高的阶段,正如卫生数据所显示的那样,而不是像警方数据所显示的那样处于道路交通死亡率较低的阶段。在中国,需要做出更多努力,将安全融入道路设计、改善道路交通管理、提高数据质量,并改变行人、驾驶员和乘客的不安全行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6ef/4829231/139f2ed38814/pone.0153251.g001.jpg

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