人工智能在街道空间研究中的应用综述——基于CiteSpace的可视化分析  

Application of Artificial Intelligence in Street Space Research:CiteSpace-based Visualization and Analysis

作　　者：柴玉 曹伟 Chai Yu;Cao Wei

机构地区：[1]山东建筑大学 [2]珠海科技学院建筑与城乡规划学院 [3]马来西亚城市大学

出　　处：《中外建筑》2024年第1期21-26,共6页Chinese & Overseas Architecture

基　　金：广东省普通高校特色创新项目“陆海统筹下的海岸带空间规划及其生态安全响应机制研究”(编号:2022KTSCX175)。

摘　　要：近年来,随着人工智能技术的持续发展和应用领域的不断拓展,街道空间的研究也催生出了新的研究技术和方法。借助CiteSpace软件对相关文献进行可视化分析,梳理了与城市街道空间相关的研究热点和发展趋势,并进一步分析国内人工智能在该领域的研究现状和相关技术的应用,为街道空间的后续研究和改造更新提供有益借鉴。结果表明:国内街道空间研究方面的相关论文数量日益增长,也较早地将人工智能技术引入到街道空间研究中,并在空间图像数据分析技术和计算机学习方法方面获得了突破性的发展,主要分为“街景图像分析”“街道空间品质评估”“街道安全评估”三大研究热点。In recent years,with the continuous development of AI technology and the expansion of application areas,new research techniques and methods have been spawned in the study of street space.This paper visualizes and analyzes the relevant literature with the help of CiteSpace software,combs through the relevant research hotspots and development trends of urban street space,and further analyzes the current status of domestic artificial intelligence research in the field and the application of relevant technologies,so as to provide useful reference for the subsequent research and transformation and updating of street space.The results show that:The number of related papers on street space research in China is increasing,and artificial intelligence technology has been introduced into street space research earlier,and breakthroughs have been made in spatial image data analysis technology and computer learning methods,which are mainly divided into three research hotspots:"street image analysis","street space quality assessment",and"street safety assessment".

关 键 词：街道空间 人工智能 CITESPACE 可视化分析 

分 类 号：TU984.113[建筑科学—城市规划与设计] TP18[自动化与计算机技术—控制理论与控制工程]