A time-series-based model to detect homogeneous regions of residents' dynamic living habits
文献类型：期刊论文
| 作者 | Wang, Haoran3,4; Zhang, Haiping3; Shen, Nuozhou1,2,4; Zhao, Fei1,2,4; Zhu, Hui1,2,4; Jiang, Shangjing1,2,4; Tang, Guoan1,2,4; Xiong, Liyang1,2,4 |
| 刊名 | GEO-SPATIAL INFORMATION SCIENCE
 |
| 出版日期 | 2024-12-11 |
| 卷号 | N/A |
| 关键词 | Geographical regionalization human activity spatial time-series analysis urban schedule spatial analysis |
| DOI | 10.1080/10095020.2024.2437254 |
| 产权排序 | 2 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | The identification of homogeneous regions representing the dynamic living habits of residents has long been a central focus in human activity research. Although extensive studies have been conducted in this area, the majority of these efforts have concentrated on static residential behaviors, neglecting the temporal fluctuations in urban residents' activities throughout the day. This study introduces a novel model that integrates facility operation data with a time-series-based regionalization approach to detect residents' dynamic living habits at the block scale and identify homogeneous regions. The model first transforms textual data into temporal Origin-Destination (OD) flows and introduces the concept of an urban schedule to represent the Temporal OD of various resident activities within a specific unit. Building on this foundation, the urban schedule is subsequently converted into operating probability curves over time, revealing the spatial structure of residents' dynamic living habits. Our findings demonstrate that the homogeneous regions of residents' dynamic living habits not only reflect the intensity of human activity but also show a significant correlation with distinct urban functional areas, highlighting their importance for urban planning and development. |
| WOS关键词 | GRANULARITY ; URBAN |
| WOS研究方向 | Remote Sensing |
| WOS记录号 | WOS:001378978800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210431]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Haiping |
| 作者单位 | 1.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China 2.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 4.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Haoran,Zhang, Haiping,Shen, Nuozhou,et al. A time-series-based model to detect homogeneous regions of residents' dynamic living habits[J]. GEO-SPATIAL INFORMATION SCIENCE,2024,N/A. |
| APA | Wang, Haoran.,Zhang, Haiping.,Shen, Nuozhou.,Zhao, Fei.,Zhu, Hui.,...&Xiong, Liyang.(2024).A time-series-based model to detect homogeneous regions of residents' dynamic living habits.GEO-SPATIAL INFORMATION SCIENCE,N/A. |
| MLA | Wang, Haoran,et al."A time-series-based model to detect homogeneous regions of residents' dynamic living habits".GEO-SPATIAL INFORMATION SCIENCE N/A(2024). |
入库方式： OAI收割
来源：地理科学与资源研究所
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