An adaptive OD flow clustering method to identify heterogeneous urban mobility trends
文献类型：期刊论文
| 作者 | Guo, Xiaogang4; Fang, Mengyuan4; Tang, Luliang4; Kan, Zihan2; Yang, Xue3; Pei, Tao5; Li, Qingquan6; Li, Chaokui1 |
| 刊名 | JOURNAL OF TRANSPORT GEOGRAPHY
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 123页码:14 |
| 关键词 | OD flow clustering OPTICS Spatial statistics Density heterogeneity Urban mobility |
| ISSN号 | 0966-6923 |
| DOI | 10.1016/j.jtrangeo.2024.104080 |
| 产权排序 | 4 |
| 英文摘要 | Origin-Destination (OD) flow, as an abstract representation of the object's movement or interaction, has been used to reveal the movement patterns of human activities and the coupling process of the human-land system. As a developing spatial analysis method, OD flow clustering can be used to identify the dominant trends and spatial structures of urban mobility. However, urban flow exhibits universal heterogeneity, which is mainly manifested in irregular shapes, uneven distribution, and obvious scale differences. The existing methods are constrained by specific spatial scales and sensitive parameter settings, making it difficult to reveal heterogeneous urban mobility patterns within travel OD data. In this paper, we propose an OD flow analysis method that integrates spatial statistics and density clustering. This method can determine parameter values from datasets without manual intervention and adaptively identify multi-scale mixed OD flow clusters. In the simulation experiment, the proposed method accurately detects all preset OD clusters with less noise. It outperforms the baseline methods in terms of Silhouette Coefficient, V-measure, and Fowlkes Mallows index. As a case study, this method is applied to OD data from Chengdu, China, extracting 63 representative flow clusters and revealing the trends of heterogeneous urban mobility across different lengths and densities for public transit optimization. |
| WOS关键词 | PATTERNS ; SHUTTLE ; DESIGN |
| 资助项目 | National Key Research and Development Program of China[2023YFB3906803] ; National Key Research and Development Program of China[2017YFB0503604] ; National Key Research and Development Program of China[2016YFE0200400] ; National Natural Science Foundation of China[41971405] ; National Natural Science Foundation of China[41671442] |
| WOS研究方向 | Business & Economics ; Geography ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:001378022000001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212079]  |
| 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 | Tang, Luliang; Yang, Xue |
| 作者单位 | 1.Hunan Univ Sci & Technol, Natl Local Joint Engn Lab Geospatial Informat Tech, Xiangtan, Peoples R China 2.Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Peoples R China 3.China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China 4.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 6.Shenzhen Univ, Key Lab Geoenvironm Monitoring Great Bay Area, MNR, Shenzhen, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Xiaogang,Fang, Mengyuan,Tang, Luliang,et al. An adaptive OD flow clustering method to identify heterogeneous urban mobility trends[J]. JOURNAL OF TRANSPORT GEOGRAPHY,2025,123:14. |
| APA | Guo, Xiaogang.,Fang, Mengyuan.,Tang, Luliang.,Kan, Zihan.,Yang, Xue.,...&Li, Chaokui.(2025).An adaptive OD flow clustering method to identify heterogeneous urban mobility trends.JOURNAL OF TRANSPORT GEOGRAPHY,123,14. |
| MLA | Guo, Xiaogang,et al."An adaptive OD flow clustering method to identify heterogeneous urban mobility trends".JOURNAL OF TRANSPORT GEOGRAPHY 123(2025):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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