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- Title
基于多源数据的城市内部空间交互特征: 以福州市主城区为例.
- Authors
真诗泳; 林钦贤; 张露丹; 李嘉政; 林玉英; 陈诚; 潘自宝; 胡喜生
- Abstract
The flow of people within urban internal space reflects social vitality and resource allocation, and is an important basis for urban traffic planning and management. By integrating mobile phone signaling big data and point of interests ( POI) data, the article identifies the functional types of the traffic zones in the main urban area of Fuzhou, and constructs a spatial interaction network of people flow between traffic zones. The centrality and travel distance attenuation effect of each functional areas are analyzed based on complex network method. The results show that the functional areas are mainly residential and public-related functional areas in the main urban area of Fuzhou. In the main urban areas of Fuzhou, the people flow of Gulou District and Taijiang District is the most active, while the spatial interaction pattern in Cangshan District and Jinan District is found to be unbalanced. There are obvious spatiotemporal differences of degree centrality of each functional area, with the education service and commercial service functional areas generally have higher centrality. The distance attenuation effect between residential functional areas and other functional areas is greatly affected by the period. To provide certain support for the public traffic optimization of the city based on analysis results.
- Publication
Science Technology & Engineering, 2023, Vol 23, Issue 35, p14937
- ISSN
1671-1815
- Publication type
Article