共享出行领域研究现状、热点及前沿——基于CiteSpace的文献计量分析

Research Status,Hotspots and Frontiers in the Field of Shared Mobility:A Bibliometric Analysis Based on CiteSpace

共享出行可提高非机动交通与公共交通占比,随着“双碳”目标的提出,将受到越来越多关注。为了解共享出行领域的研究情况,通过共现分析、共被引分析、聚类分析、突现词分析等文献计量分析方法,研究了共享出行领域的研究现状、热点与前沿。结果表明:共享出行领域的研究成果在最近几年大幅增加,2020年发文量约是2017年的4倍,达到历史最高点;研究力量主要集中在美国、中国、英国等国家,国家之间合作较为紧密;论文作者和被引作者众多,作者间的合作网络较为分散;研究内容呈现多学科交叉的特点;研究热点主要集中在共享出行产生的影响、影响因素和优化研究;共享出行的优势、出行行为、管理与运营优化研究等是共享出行领域的研究前沿;共享电动车辆和共享自动驾驶车辆将成为共享出行方式的未来发展趋势。可见,共享出行领域的研究正处于快速发展阶段,关于共享出行的应用与优化一直备受学者关注。

Shared mobility can increase the proportion of non-motorized transportation and public transportation,which receives more and more attention with the proposal of“dual carbon”goal.In order to understand the research situation in the field of shared mobility,the bibliometric analysis method,including co-occurrence analysis,co-citation analysis,cluster analysis,burst keywords,etc.were used to study the research status,hotspots and frontiers in the field of shared mobility.The results show that the research achievements in the field of shared mobility increases significantly in recent years,and the volume of publications in 2020 is about four times that of 2017,reaching a historical peak.Research strength is mainly concentrated in the United States,China,England,etc.,and the cooperation between countries is relatively close.Authors and cited authors have a lot,and the cooperation network among authors is scattered.The research content presents the characteristic of multidisciplinary crossing.Research hotspots mainly focus on three aspects:the impact of shared mobility,influencing factors,and optimization research.The analysis of the advantage,travel behavior,management and operation optimization of shared mobility are the research frontiers of shared mobility.Shared electric vehicles and shared autonomous vehicles become the future development trend of shared mobility mode.It is concluded that the research in the field of shared mobility is in the stage of rapid development,and the application and optimization of shared mobility have been concerned by scholars.