| 王怡.基于可视化知识图谱的智能停车研究进展与热点分析[J].安徽建筑大学学报,2022,30(): |
| 基于可视化知识图谱的智能停车研究进展与热点分析 |
| Research progress and hotspot analysis of intelligent parking based on visualized knowledge graph |
| 投稿时间：2022-07-15 修订日期：2022-08-10 |
| DOI： |
| 中文关键词: 智能停车 停车位 CiteSpace 知识图谱 |
| 英文关键词: intelligent parking parking space CiteSpace knowledge map |
| 基金项目:安徽省高校省级自然科学研究重点项目 |
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| 摘要点击次数: 1351 |
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| 中文摘要: |
| 为了全面、直观的分析智能停车研究领域的现状、趋势及热点，提高车位利用率，方便人们日常出行，缓解城市交通压力，在中国知网数据库中对2003-2022年之间的智能停车研究文献进行检索。从发文量、机构、作者、关键词4个维度基于CiteSpace软件构建智能停车研究知识图谱，从智能停车技术、停车方式、停车管理等3个方面重点分析智能停车研究的趋势和热点问题。研究结果表明：从2012年开始，发文量快速增长，智能停车领域的研究成果一直处于上升趋势；根据关键词聚类分析，文献三大类为城市交通、停车位、交通工程。围绕城市交通的停车管理热点为停车治理政策，围绕停车位的停车方式热点为共享停车、立体车库，围绕交通工程的智能停车技术热点为物联网、大数据。 |
| 英文摘要: |
| In order to comprehensively and intuitively analyze the status quo, trends and hot spots in the field of intelligent parking research, improve the utilization rate of parking Spaces, facilitate people's daily travel and relieve urban traffic pressure. The intelligent parking research literatures from 2003 to 2022 are searched in the China National Knowledge Infrastructure (CNKI) database. Based on CiteSpace bibliometrics software, the intelligent parking research knowledge map was constructed from the four dimensions of number of publications, institutions, authors and keywords. Focus on analyzing the trends and hot issues of intelligent parking research from three aspects: intelligent parking technology, parking way, and parking management. The following results are derived: (1)Since 2012, the number of papers has grown rapidly, and the research results in the field of intelligent parking have been on the rise; (2)According to keyword clustering analysis, the literature falls into three categories: urban traffic, parking space and traffic engineering; (3)The hot spots of parking management around urban traffic are parking governance policies, the hot spots of parking places around parking spaces are shared parking and stereo garage, and the hot spots of parking technology around traffic engineering are Internet of Things and big data. |
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