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

Spatial Interaction Characteristics Based on Multi-sourceData: A Case of Main Urban Area of Fuzhou City

人群在城市内部空间中的流动是社会活力和资源分配的直接体现,是城市交通规划管理的重要依据。融合手机信令大数据和POI(point of interests)数据,对福州市主城区内的交通小区进行功能分区并构建了交通小区之间的空间交互网络,采用复杂网络方法对各类型功能区的中心性地位及出行距离衰减效应进行了分析。结果表明:福州市主城区功能区以居住及公共服务相关功能区为主。鼓楼区和台江区的人流量最为活跃,仓山区及晋安区的内部空间交互格局存在显著的不平衡现象。各功能区的中心性地位存在明显的空间和周期差异,科教文化及商服类型功能区的中心性普遍较高。居住用地与其他功能区之间的距离衰减效应受到时段的影响较大。基于以上结果可对城市公共交通优化提供一定支持。

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.