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Application of Grey Relational Analysis on Comprehensive Evaluation about China Traffic Accidents

机译:灰色关联分析在中国交通事故综合评价中的应用

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摘要

A toolbox about multivariate grey relational analysis is made by using MATLAB, and it is applied to make a relational analysis of multivariate-grey against the statistics data which collected from 31 regions in China during 1997-2006. Several socioeconomic factors which connected with traffic accident index most closely are found among the 18 socioeconomic factors. Based on this, harm of traffic accidents happened in 31 regions of China from 1997 to 2006 is comprehensively evaluated. The research suggests that socioeconomic factors such as "gross regional product" and "total regional passenger-kilometers" in every region has the greatest impact on the four index —the number of traffic accidents, the number of deaths, the number of injures, the losses converted into cash. The comprehensive evaluation on the harm of traffic accidents in 31 regions by taking more "gross regional product" and "total regional passenger-kilometers" into account is more reasonable than by taking into account the four traffic accident factors. It can be concluded that the most serious traffic accidents happened in Guangdong, Zhejiang and Fujian during 1997-2006. The research may be a reference for traffic management departments.
机译:利用MATLAB制作了一个多元灰色关联分析工具箱,并利用该工具箱对1997-2006年中国31个地区的统计数据进行了多元灰色关联分析。在18个社会经济因素中,发现了与交通事故指数最密切相关的几个社会经济因素。在此基础上,对1997年至2006年我国31个地区发生的交通事故的危害进行了综合评价。研究表明,每个地区的“地区生产总值”和“地区旅客公里总数”等社会经济因素对四个指标的影响最大:交通事故的数量,死亡的数量,伤害的数量,亏损转为现金。通过考虑更多的“地区总产值”和“地区总公里数”,对31个地区的交通事故危害进行综合评估比考虑四个交通事故因素更为合理。可以得出结论,最严重的交通事故发生在1997年至2006年的广东,浙江和福建。该研究可为交通管理部门提供参考。

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