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Analysis of Regional Freeway Traffic Safety Based on Social Network

机译:基于社交网络的区域高速公路交通安全分析

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As the freeway develops rapidly in China, the problem of traffic accidents on the freeway, has become increasingly prominent. At present, the freeway traffic safety in China isn't optimistic due to regional differences and other factors, which fosters the probability of freeway traffic accidents. This paper proposes a method of social network theory. This study applies the method to the freeway network and safety accidents in Jilin Province. The Ucinet software is used to analyze influencing factors of traffic accidents with centrality and cluster analysis, based on the internal relations and the status of each factor in an accident. This study can provide theoretical support for the evaluation index system and follow-up research on regional freeway safety protection.
机译:随着高速公路在中国迅速发展,高速公路上交通事故的问题变得越来越突出。 目前,由于区域差异和其他因素,中国的高速公路交通安全并不乐观,这促进了高速公路交通事故的可能性。 本文提出了一种社会网络理论的方法。 本研究适用于吉林省高速公路网络和安全事故的方法。 UCINET软件用于分析流量事故的影响因素,基于事故中的每个因素的内部关系和每个因素的地位,分析流量事故的影响因素。 本研究可以为评价指标体系和区域高速公路安全保护的后续研究提供理论支持。

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