大数据在我国城市可持续发展中应用的研究综述——基于文献计量学和信息可视化的方法

Research Summary of Big Data Application in Urban Sustainable Development in China——Methods based on bibliometrics and information visualization

通过对2010—2019年知网、万方、维普核心数据库中的9588篇学术论文进行检索分析、词频分析、叠加可视化分析,系统剖析我国学术界关于大数据应用在我国城市可持续发展中的知识结构、重点和前沿趋势。结果显示,大数据应用在我国城市可持续发展中的研究起步较晚,但是近几年不断地提升。研究重点主要体现在社会、经济和环境维度下的12个范畴,包括公共交通、公共服务、应急管理、公共安全等领域。研究趋势主要集中在新兴技术融合、数字化技术发展、智慧城市转型、多维数据挖掘、信息生态平衡五大领域。

With the continuous development of big data,it is more and more widely used in all walks of life,especially in promoting urban sustainable development.Through the retrieval analysis,word frequency analysis and overlay visualization analysis of 9588 academic papers in the core databases of CNKI,Wanfang and VIP from 2010 to 2019,this paper systematically analyzes the knowledge structure,key points and frontier trend of big data application in China's urban sustainable development.The results show that:the research of big data application in urban sustainable development in China started late,but it has been improving in recent years.The research focus is mainly embodied in 12 categories of social,economic and environmental dimensions,including public transport,public services,emergency management,public safety and other fields.Research trends are mainly concentrated in five areas:emerging technology integration,digital technology development,smart city transformation,multidimensional data mining,and information ecological balance.