大数据交通研究的知识图谱与研判——基于CNKI(2012-2017)的量化分析

Knowledge atlas and Research on large data traffic research

交通运输作为一国发展的重要组成部分之一,承担着国家经济发展和民族融合的功能,其现代化水平直接影响国家进步的程度。以近5年CNKI数据库收录的499篇大数据交通研究的核心期刊学术论文为样本,利用CiteSpace V进行分析,绘制2012-2017年国内大数据交通研究的知识图谱,全景式再现我国大数据交通的时空动态发展历程、直观展示研究文献的机构分布、研究学者、研究热点状况,并探测其发展趋势,为我国大数据交通理论与实践研究的进一步推进提供基础性的知识支撑。总结和梳理国内大数据交通的研究热点和总体研究趋势,以破解交通拥挤、事故救援、环境污染、能源短缺等交通运输领域的"老难题",回应国家为适应新时期"供需关系"的精细化管理就显得尤为重要。

Transportation,as one of the important parts of a country＇s development,bears the function of national economic development and national integration,and its modernization level directly affects the degree of national progress. With the sample of the core periodicals of the 499 major data traffic research published in the CNKI database in recent 5 years,the paper uses CiteSpace V to analyze the knowledge atlas of the domestic large data traffic research for 2012-2017 years. It reproduces the spatio-temporal dynamic development course of the large data traffic in China and the distribution of the institutional distribution of the literature. Research scholars,research hot situation,and explore its development trend,for the further advance of China＇s large data traffic theory and practice research to provide basic knowledge support. In order to solve the ＂old problems＂of traffic and transportation,such as traffic congestion,accident rescue,environmental pollution and energy shortage,it is particularly important to respond to the state＇s fine management for the＂supply and demand relationship＂in the new period.