Enhancing Systematic Review Efficiency with AIGC: Applications of Perception Data in Built Environment Audits
文献类型：期刊论文
| 作者 | Tao, Anjun1; Yang, Zhijie1,2; Ou, Wenbo1 |
| 刊名 | BUILDINGS
 |
| 出版日期 | 2025-10-13 |
| 卷号 | 15期号:20页码:3684 |
| 关键词 | built environment audit urban environment AIGC systematic review generative artificial intelligence |
| DOI | 10.3390/buildings15203684 |
| 产权排序 | 2 |
| 文献子类 | Review |
| 英文摘要 | With the growing use of human perception data streams in audits of the built environment, their value for enhancing objectivity and human-centeredness has become increasingly evident. This review synthesizes 63 publications through July 2024, providing a comprehensive analysis of perception data types, collection modalities and spatial strategies. This review introduces an Artificial Intelligence (AI)-enabled framework and utilizes Artificial Intelligence-Generated Content (AIGC) to assist literature retrieval and analysis, improving efficiency and transparency. The results indicate that heart rate and mood are currently the most frequently used perception data types in built-environment audits. Existing audit practices primarily focus on roads, green spaces, and residential areas at community and block-scale settings, with data choices varying by spatial typology. This review advances a systematic understanding of the application of perception data streams in built-environment audits and offers evidence-based recommendations for data collection, thereby providing stronger data support for future research. |
| URL标识 | 查看原文 |
| WOS关键词 | WALKING |
| WOS研究方向 | Construction & Building Technology ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001601893300001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217787]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Yang, Zhijie |
| 作者单位 | 1.Southeast Univ, Sch Architecture, Nanjing 210096, Peoples R China; 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tao, Anjun,Yang, Zhijie,Ou, Wenbo. Enhancing Systematic Review Efficiency with AIGC: Applications of Perception Data in Built Environment Audits[J]. BUILDINGS,2025,15(20):3684. |
| APA | Tao, Anjun,Yang, Zhijie,&Ou, Wenbo.(2025).Enhancing Systematic Review Efficiency with AIGC: Applications of Perception Data in Built Environment Audits.BUILDINGS,15(20),3684. |
| MLA | Tao, Anjun,et al."Enhancing Systematic Review Efficiency with AIGC: Applications of Perception Data in Built Environment Audits".BUILDINGS 15.20(2025):3684. |
入库方式： OAI收割
来源：地理科学与资源研究所
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