Department of Transportation Planning and Engineering, National Technical University of Athens, 5 Iroon Polytechniou Street, 15773 Zografou, Athens, Greece.
J Safety Res. 2011 Feb;42(1):17-25. doi: 10.1016/j.jsr.2010.11.003. Epub 2011 Jan 5.
The comparative analysis of macroscopic trends in road safety has been a popular research topic. The objective of this research is to propose a simple and, at the same time, reliable multiple regime model framework for international road safety comparisons, allowing for the identification of slope changes of personal risk curves and respective breakpoints.
The trends of road traffic fatalities in several EU countries have been examined through the temporal evolution of elementary socioeconomic indicators, namely motorized vehicle fleet and population, at the country level.
Piece-wise linear regression models have been fitted, using a methodology that allows the simultaneous estimation of all slopes and breakpoints. The number and location of breakpoints, as well as the slope of the connecting trends, vary among countries, thus indicating different road safety evolution patterns.
Macroscopic analysis of road accident trends may be proved beneficial for the identification of best examples and the implementation of appropriate programmes and measures, which will lead to important benefits for the society and the economy through the reduction of road fatalities and injuries. Best performing countries and the related programmes and measures adopted may concern several safety improvements at the processes of the road, the vehicle and the insurance industries.
Lessons from the analysis of the past road safety patterns of developed countries provide some insight into the underlying process that relates motorization levels with personal risk and can prove to be beneficial for predicting the road safety evolution of developing countries that may have not yet reached the same breakpoints. Furthermore, the presented framework may serve as a basis to build more elaborate models, including more reliable exposure indicators (such as vehicle-km driven).
宏观道路安全趋势的比较分析一直是热门研究课题。本研究旨在提出一个简单且可靠的多阶段模型框架,用于国际道路安全比较,以识别个人风险曲线的斜率变化和相应的断点。
通过考察几个欧盟国家道路交通死亡人数的时间演变,研究了基本社会经济指标(即机动车保有量和人口)在国家层面上的变化趋势。
使用一种允许同时估计所有斜率和断点的方法,拟合了分段线性回归模型。断点的数量和位置以及连接趋势的斜率在各国之间有所不同,这表明了不同的道路安全演变模式。
道路事故趋势的宏观分析可能有助于确定最佳范例,并实施适当的计划和措施,通过减少道路伤亡,为社会和经济带来重要利益。表现最佳的国家及其采用的相关计划和措施可能涉及道路、车辆和保险行业的多个安全改进。
对发达国家过去道路安全模式的分析提供了一些有关与个人风险相关的机动车化水平的潜在过程的见解,这对于预测尚未达到相同断点的发展中国家的道路安全演变可能是有益的。此外,所提出的框架可以作为构建更复杂模型的基础,包括更可靠的暴露指标(如车辆行驶公里数)。