国内外街道景观视觉质量评价研究进展与前瞻  

Research Progress and Prospect of Visual Quality Evaluation of Street Landscape at Home and Abroad

作　　者：赵晶[1] 韩雨欣 卢佩琪 ZHAO Jing;HAN Yuxin;LU Peiqi

机构地区：[1]天津大学智能与计算学部 [2]天津大学建筑学院

出　　处：《景观设计》2025年第2期38-41,共4页Landscape Design

基　　金：国家自然科学基金青年科学基金项目“基于机器学习的城市街道景观视觉质量评价方法研究”(52108059)。

摘　　要：街道景观视觉质量评价是景观感知领域近年的研究热点。运用CiteSpace软件从文献、理论、方法、技术四个维度对近20年国内外街道景观视觉质量评价研究进行梳理。结果显示,数学模型、深度学习与当前街道景观视觉质量评价研究的联系密切;国内相关研究发展增速较快;方法及技术正朝着多学科交叉、多范式融合方向发展。据此提出未来应加强景观美学机制研究、设定绩效评估机制、建立基于量化数据与感知经验的可持续评价系统等建议。Visual quality evaluation of street landscape is a research hotspot in the field of landscape perception in recent years.Based on the CiteSpace software,the paper combs the domestic and foreign researches on visual quality evaluation of street landscape in the past 20 years from four dimensions:literature,theory,method and technology.The results show that mathematical model and deep learning are closely integrated with the current visual quality evaluation research of street landscape.The domestic related researches develop rapidly.The methods and technologies are developing towards multi-disciplinary and multi-paradigm integration.Therefore,it should strengthen the research of landscape aesthetics mechanism in the future,set performance evaluation mechanism,and establish a sustainable evaluation system based on quantitative data and perceptual experience.

关 键 词：景观视觉质量 街道景观 感知经验 CITESPACE 

分 类 号：TU984.1[建筑科学—城市规划与设计]