A dataset of multi-level street-block divisions of 985 cities worldwide
文献类型：期刊论文
| 作者 | Tang, Jintong9; Xu, Liyan7,8; Yu, Hongbin8; Jiang, Hezhishi6; He, Dejie5; Li, Tianshu8; Xiao, Wanchen5; Zheng, Xinying4; Liu, Keyi8; Li, Yiqin3 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2025-03-19 |
| 卷号 | 12期号:1页码:456 |
| DOI | 10.1038/s41597-025-04704-7 |
| 产权排序 | 6 |
| 文献子类 | Article |
| 英文摘要 | Street-blocks, as basic geographical units for dividing urban space, are widely used in urban planning and statistics. However, the availability and quality of street-block data vary significantly across different countries or regions worldwide. While developed countries tend to have mature urban street-block division systems and corresponding public data, such data in most developing countries are often incomplete or non-existent. Even in countries with available data, the lack of consistent standards for street-block division causes difficulty in international comparative research. To address this gap, we are releasing a new open dataset: Multi-level Street-block Divisions of 985 Cities Worldwide (MSDCW), offering a logical, standardized, and user-friendly street-block division system for cities with the estimated population over 500,000 by Demographia from 142 countries or regions, with results at five spatial levels. Validation shows that compared with official datasets, MSDCW offers a reasonable division of urban street-blocks, and is therefore suitable as foundational data for related research. Additionally, researchers can use our method to generate their own street-block division datasets. |
| URL标识 | 查看原文 |
| WOS关键词 | CHINA ; OPENSTREETMAP ; CITY ; POINTS |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001449486500007 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213250]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Liyan |
| 作者单位 | 1.Huawei Technol, Global Tech Serv Dept, Shanghai, Peoples R China 2.Huawei Technol, Global Tech Serv Dept, Beijing, Peoples R China; 3.Univ Penn, Stuart Weitzman Sch Design, Philadelphia, PA USA; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; 5.Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China; 6.Peking Univ, Acad Adv Interdisciplinary Studies, Beijing, Peoples R China; 7.UCL, Bartlett Ctr Adv Spatial Anal, London, England; 8.Peking Univ, Coll Architecture & Landscape Architecture, Beijing, Peoples R China; 9.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Tang, Jintong,Xu, Liyan,Yu, Hongbin,et al. A dataset of multi-level street-block divisions of 985 cities worldwide[J]. SCIENTIFIC DATA,2025,12(1):456. |
| APA | Tang, Jintong.,Xu, Liyan.,Yu, Hongbin.,Jiang, Hezhishi.,He, Dejie.,...&Liu, Yu.(2025).A dataset of multi-level street-block divisions of 985 cities worldwide.SCIENTIFIC DATA,12(1),456. |
| MLA | Tang, Jintong,et al."A dataset of multi-level street-block divisions of 985 cities worldwide".SCIENTIFIC DATA 12.1(2025):456. |
入库方式： OAI收割
来源：地理科学与资源研究所
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