Identify different types of urban renewal implementations at the streetscape scale
文献类型:期刊论文
| 作者 | Wang, Xiaotong4,5; Song, Ci4,5; Pei, Tao1,4,5; Deng, Yu4,5; Zhou, Daojing2; Chen, Jie4,5; Cheng, Dayu3 |
| 刊名 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
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| 出版日期 | 2025-09-02 |
| 卷号 | N/A |
| 关键词 | Urban renewal implementations street view images deep learning multi-type urban renewal identification model (MTURI) |
| ISSN号 | 1365-8816 |
| DOI | 10.1080/13658816.2025.2552396 |
| 产权排序 | 1 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Understanding the different types of urban renewal implementation processes can inform ways to improve residents' quality of life and optimize sustainable development strategies. Existing research has primarily focused on detecting pixel-level or object-level changes in urban physical space, but it frequently overlooks the semantic complexity inherent in urban renewal. This complexity involves an integration of what changed, where the change occurred, and how it occurred, and is important to distinguish the different types of renewal. To address this gap, this study provides a multi-type urban renewal identification (MTURI) framework using street view images (SVIs) to combine multi-source information at the street level. We constructed an SVI benchmark dataset and developed a comprehensive indicator system comprising built features, semantic attributes and street-level environmental factors. Using a two-stage recognition algorithm, the MTURI model identifies various types of urban renewal activities. We also applied the model to four renewal community cases to evaluate the potential applications of the method. The findings demonstrate that our model can effectively identify various types of renewal and provide evidence-based assessments of the effectiveness and benefits of urban policy interventions. Our paradigm introduces new tools and insights into research and practice in SVI identification. |
| URL标识 | 查看原文 |
| WOS关键词 | VIEW ; CHINA |
| WOS研究方向 | Computer Science ; Geography ; Physical Geography ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001562582400001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216129] ![]() |
| 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 | Song, Ci |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China; 2.Chinese Acad Sci, Inst Sci & Dev, Beijing, Peoples R China; 3.Hebei Univ Engn, Sch Min & Geomat, Handan, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; 5.Univ Chinese Acad Sci, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Xiaotong,Song, Ci,Pei, Tao,et al. Identify different types of urban renewal implementations at the streetscape scale[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2025,N/A. |
| APA | Wang, Xiaotong.,Song, Ci.,Pei, Tao.,Deng, Yu.,Zhou, Daojing.,...&Cheng, Dayu.(2025).Identify different types of urban renewal implementations at the streetscape scale.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,N/A. |
| MLA | Wang, Xiaotong,et al."Identify different types of urban renewal implementations at the streetscape scale".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE N/A(2025). |
入库方式: OAI收割
来源:地理科学与资源研究所
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