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一种用于比较经合组织国家道路死亡率的统计模型。

A statistical model to compare road mortality in OECD countries.

作者信息

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机构信息

Centre Européen d'Etudes de Sécurité et d'Analyse des Risques (CEESAR), Nanterre, France.

出版信息

Accid Anal Prev. 2001 May;33(3):371-85. doi: 10.1016/s0001-4575(00)00051-8.

Abstract

The objective of this paper is to compare safety levels and trends in OECD countries from 1980 to 1994 with the help of a statistical model and to launch international discussion and further research about international comparisons. Between 1980 and 1994, the annual number of fatalities decreased drastically in all the selected countries except Japan (+ 12%), Greece (+ 56%) and ex-East Germany (+ 50%). The highest decreases were observed in ex-West Germany (- 48%), Switzerland (- 44%), Australia (- 40%), and UK (- 39%). In France, the decrease in fatalities over the same period reached 34%. The fatality rate, an indicator of risk, decreased in the selected countries from 1980 to 1994 except in the east-European countries during the motorization boom in the late 1980s. As fatality rates are not sufficient for international comparisons, a statistical multiple regression model is set up to compare road safety levels in 21 OECD countries over 15 years. Data were collected from IRTAD (International Road Traffic and Accident Database) and other OECD statistical sources. The number of fatalities is explained by seven exogenous (to road safety) variables. The model, pooling cross-sectional and time series data, supplies estimates of elasticity to the fatalities for each variable: 0.96 for the population; 0.28 for the vehicle fleet per capita; -0.16 for the percentage of buses and coaches in the motorised vehicle fleet; 0.83 for the percentage of youngsters in the population; - 0.41 for the percentage of urban population; 0.39 for alcohol consumption per capita; and 0.39 for the percentage of employed people. The model also supplies a rough estimate of the safety performance of a country: the regression residuals are supposed to contain the effects of essentially endogenous and unobserved variables, independent to the exogenous variables. These endogenous variables are safety performance variables (safety actions, traffic safety policy, network improvements and social acceptance). A new indicator, better than the mortality rate, is then set upon the residuals. Mean estimates of this indicator for the years 1980-1982 and the years 1992-1994 rank the countries in the beginning and at the end of the study period. Countries showing the best ranks (and thus the best performance) in 1980 and 1994 are Sweden, the Netherlands and Norway. The UK and Switzerland reach the top 5 in 1994. Greece, Belgium, Portugal and Spain are the last countries in the classification along with, surprisingly, the USA. France was ranked 18th in 1980 and 15th in 1994 but is ranked amongst the five countries that most improved from 1980 to 1994. This model remains non definitive because it is not able to distinguish between safety performance and unobserved exogenous variables although these exogenous variables could explain more about the differences in levels and trends between the countries. More complex models, particularly highly sophisticated models regarding the number of fatalities with breakdowns by road users or road classes would be needed to give a precise and profound ranking of safety levels and safety improvements between countries.

摘要

本文的目的是借助统计模型比较1980年至1994年经合组织国家的安全水平及趋势,并就国际比较展开国际讨论和进一步研究。1980年至1994年间,除日本(增长12%)、希腊(增长56%)和前东德(增长50%)外,所有选定国家的年度死亡人数均大幅下降。降幅最大的是前西德(-48%)、瑞士(-44%)、澳大利亚(-40%)和英国(-39%)。同期法国的死亡人数降幅达34%。作为风险指标的死亡率,在选定国家中,除了20世纪80年代后期东欧国家在机动车化热潮期间有所上升外,1980年至1994年呈下降趋势。由于死亡率不足以进行国际比较,因此建立了一个统计多元回归模型,以比较15年间21个经合组织国家的道路安全水平。数据收集自IRTAD(国际道路交通事故数据库)和经合组织的其他统计来源。死亡人数由七个(与道路安全)外部变量解释。该模型汇总了横截面数据和时间序列数据,提供了每个变量对死亡人数的弹性估计值:人口的弹性估计值为0.96;人均车辆保有量的弹性估计值为0.28;机动车保有量中公共汽车和长途客车所占百分比的弹性估计值为-0.16;人口中年轻人所占百分比的弹性估计值为0.83;城市人口百分比的弹性估计值为-0.41;人均酒精消费量的弹性估计值为0.39;就业人口百分比的弹性估计值为0.39。该模型还提供了一个国家安全绩效的粗略估计值:回归残差应包含基本内生和未观察到的变量的影响,这些变量独立于外部变量。这些内生变量是安全绩效变量(安全行动、交通安全政策、网络改善和社会接受度)。然后基于这些残差设定了一个比死亡率更好的新指标。该指标在1980 - 1982年和1992 - 1994年的平均估计值对研究期开始和结束时的国家进行了排名。在1980年和1994年排名最靠前(即表现最佳)的国家是瑞典、荷兰和挪威。英国和瑞士在1994年进入前五。希腊、比利时、葡萄牙和西班牙以及令人惊讶的美国是排名最后的国家。法国在1980年排名第18,在1994年排名第15,但在1980年至1994年期间是进步最大的五个国家之一。该模型仍不具有确定性,因为它无法区分安全绩效和未观察到的外部变量,尽管这些外部变量可能更多地解释了各国在水平和趋势上的差异。需要更复杂的模型,特别是关于按道路使用者或道路类别细分死亡人数的高度复杂模型,才能对各国的安全水平和安全改善情况进行精确而深入的排名。

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