中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2018, Vol. 37 ›› Issue (09): 113-121.DOI: 10.3969/j.issn.1674-0696.2018.09.18

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Visualization Analysis for Research Hotspots of Rail Transit in China

ZHANG Fugui1, CHEN Weiwei2, ZHAO Xiaobo1   

  1. (1. Chongqing Rail Transit Design and Research Institute Co. Ltd., Chongqing 401122, P. R. China; 2. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, P. R. China)
  • Received:2017-02-16 Revised:2017-07-14 Online:2018-09-10 Published:2018-09-10

我国轨道交通研究热点的可视化分析

张富贵1,谌微微2,赵晓波1   

  1. (1. 重庆市轨道交通设计研究院有限责任公司,重庆 401122; 2. 重庆交通大学 经济与管理学院,重庆 400074)
  • 作者简介:张富贵(1987—),男,山东泰安人,工程师,硕士,主要从事城市轨道交通结构设计与研究。E-mail: zfgzhangfugui@163.com。 通信作者:谌微微(1987—),女,四川绵阳人,讲师,博士生,主要从事复杂网络方面的研究。E-mail: chenweiwei615@163.com。
  • 基金资助:
    重庆市社会科学规划项目(2014QNGL47);重庆市教委科学技术研究项目(KJ1500513);教育部人文社会科学研究基金青年项目(15YJCZH105);重庆市教委人文社科项目(18SKJD022)

Abstract: In order to fully understand the current situation and the research focus in the field of rail transit, the social network analysis method was used to study the scientific research papers in the field of rail transit. The network model of high frequency keyword was constructed, and the network density, connection strength and network location of the model were visualized to reveal research hotspots in this field. Meanwhile, the mainstream research journals, major subjects, representative institutions and their research characteristics in this field were dug out. The result shows that the institutions with high volume of documents in the field of rail transit are important research forces in the region, which have different research characteristics. This research hotspot analysis from the perspective of bibliometric provides an important method or paradigm for mining research hotspots in a certain field.

Key words: traffic and transportation engineering, rail transit, research hotspots, SNA, visualization analysis

摘要: 为了更好了解国内轨道交通领域的研究现状及热点,利用社会网络分析方法针对轨道交通领域的科研论文进行研究,构建高频关键词网络模型,并对模型的网络密度、联结强度及网络位置进行可视化分析,以揭示该领域的研究热点,并挖掘该领域的主流研究期刊、主要学科、代表性机构及其研究特色。研究表明:轨道交通领域发文量较高的机构是地区重要科研力量,且具有不同的研究特色;这种从文献计量角度进行的研究热点分析为某领域研究热点挖掘提供了重要方法或范式。

关键词: 交通运输工程, 轨道交通, 研究热点, SNA, 可视化分析

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