INVESTIGATION OF OECD COUNTRIES WITH MULTI-DIMENSIONAL SCALING ANALYSIS IN TERMS OF TRAFFIC ACCIDENT INDICATORS

Özlem Bezek Güre, M. Kayri
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引用次数: 2

Abstract

This study tries to compare similarities and differences in OECD countries in terms of traffic accidents utilizing Multidimensional Scale Analysis (MDS). In the study, MDS analysis was used utilizing basic indicators such as the number of injuries, deaths and the number of accidents resulting in material damage in the traffic accidents that happened in 2017. As a result of analysis, stress values and RSQ values turned out to be 0.0000 and 1.0000, respectively. That the stress value has resulted as zero shows that there is no inconsistency; and the fact that RSQ value has been found to be 1 indicates that the accuracy rate of this analysis is high and the values are in excellent coherence. According to results obtained from the analyses, it is seen that Malta and Liechtenstein, in particular, have appeared to be in a very different position from other countries when the counties are compared in terms of traffic accidents. In the second dimension, the countries do not have positive load over 1. However, Mexico, which has the value of 0.6378 the closest positive value to 1, can be considered as the most important parser for this dimension. When the matrix of the differences is examined; Turkey and Liechtenstein have seemed to be the two countries very different from each other. It poses great importance in terms of both for individual and public health that the necessary precautions be taken by evaluating our country, Turkey, and other countries to decrease traffic accidents taking places at the top of the list as the most important death causes. It is clear that traffic accidents, a global public health problem, have a great influence on individuals and communities and national economies. It is necessary that especially, the countries such as the US, Japan, India, Germany, Korea and Turkey which take place in high ranks in terms of traffic accident indicators should develop national and international projects in order to face to this problem coming together. In addition, in local basis, taking serious precautions (substructure services, increasing traffic fines and education etc.) will help reduce human and economic losses to the lowest levels.
经合组织国家交通事故指标多维尺度分析研究
本研究试图利用多维量表分析(MDS)来比较经合组织国家在交通事故方面的异同。在这项研究中,MDS分析利用了2017年发生的交通事故中的伤亡人数和造成物质损失的事故数量等基本指标。分析结果表明,应力值和RSQ值分别为0.0000和1.0000。应力值为零表明不存在不一致性;并且发现RSQ值为1的事实表明该分析的准确率高并且这些值具有良好的一致性。根据分析结果,可以看出,在对马耳他和列支敦士登这两个国家的交通事故进行比较时,它们的处境似乎与其他国家截然不同。在第二个维度上,这些国家没有超过1的正负荷。然而,墨西哥的值0.6378是最接近1的正值,可以被认为是该维度最重要的解析器。当检查差异矩阵时;土耳其和列支敦士登似乎是两个截然不同的国家。通过评估我国、土耳其和其他国家,采取必要的预防措施,减少作为最重要死亡原因的交通事故,这对个人和公众健康都具有重要意义。很明显,交通事故是一个全球性的公共卫生问题,对个人、社区和国家经济都有很大影响。特别是美国、日本、印度、德国、韩国和土耳其等在交通事故指标方面排名靠前的国家,有必要制定国家和国际项目,共同应对这一问题。此外,在当地,采取认真的预防措施(下部结构服务、增加交通罚款和教育等)将有助于将人员和经济损失降至最低水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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