| 林 莉,李若飞,韩文俊,陆 欣,付 淇.人工智能在风景园林研究中的热点与趋势——基于CiteSpace的知识图谱分析[J].林业调查规划,2026,51(2):176-184 |
| 人工智能在风景园林研究中的热点与趋势——基于CiteSpace的知识图谱分析 |
| Research Hotspots and Trends of Artificial Intelligence in Landscape Architecture——A Knowledge Graph Analysis Based on CiteSpace |
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| DOI： |
| 中文关键词: 人工智能 风景园林 知识图谱 CiteSpace TSPV理论 |
| 英文关键词: artificial intelligence (AI) landscape architecture knowledge graph CiteSpace TSPV (technical, spatial, process and value) theory |
| 基金项目:云南省教育厅科学研究基金项目(2017ZZX279). |
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| 中文摘要: |
| 为厘清人工智能在风景园林研究中的热点与趋势,基于中国知网(CNKI)数据库与Web of
Science数据库,共筛选2005—2025年843篇文献,运用CiteSpace软件开展知识图谱分析并构建TSPV分析框架。研究结果表明,人工智能技术在风景园林领域的研究已进入快速增长阶段,研究热点主要集中于智能算法建模、空间视觉解析及生态系统分析;前沿研究则聚焦于生成设计与智能创新、多模态融合与感知计算以及城市绿色空间的人本价值评估。TSPV理论框架揭示出人工智能在本领域的应用呈现出“数据驱动、系统感知、全程智能、价值导向”的转型特征,并正逐步迈向“跨域融合”与“价值共创”新阶段。 |
| 英文摘要: |
| To clarify the hotspots and trends of artificial intelligence (AI) in landscape architecture research, this study conducted a knowledge graph analysis using CiteSpace based on 843 relevant publications retrieved from the CNKI and Web of Science databases (2005-2025) and constructed a TSPV (technical, spatial, process and value) analytical framework. The results indicated that research on AI technology in the field of landscape architecture had entered a phase of rapid growth. Current research hotspots primarily focused on intelligent algorithm modeling, spatial visual analysis, and ecosystem analysis. Emerging frontier research concentrated on generative design and intelligent innovation, multimodal
fusion and perceptual computing, and human-centric value assessment of urban green spaces. The TSPV theoretical framework showed that the application of AI in this field exhibited transformation characteristics of “data-driven, system-perceptive, full-process intelligent, and value-oriented”, and was progressively
advancing towards a new stage of “cross-domain integration” and “value co-creation”. |
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