日常人口流动是城市群空间重构与协同发展的关键动力。厘清其网络结构特征及影响因素的空间异质性，对于处于发育初期的城市群推进以人为核心的新型城镇化具有重要现实意义。以滇中城市群为例，本文基于2022年6月的手机信令数据，运用复杂网络分析和多尺度地理加权回归（MGWR）模型，从区县尺度系统识别人口流动网络特征及其驱动机制。研究发现：①滇中城市群日常人口流动网络呈现出“单中心集聚、一级独大、小集聚、大分散”的结构特征，核心—边缘差异显著，边缘区域联系薄弱，空间上表现出圈层化分布，整体网络尚处于初步发展阶段；②人才资源、产业条件和医疗资源对人口流动具有显著正向影响，且正向效应由南向北递增；经济发展水平、教育资源和交通距离则呈负向影响，负向效应总体由北向南增强；不同因素的空间作用尺度存在显著差异，揭示了人口流动的多尺度驱动机制。研究为理解欠发育城市群人口流动网络的空间逻辑提供了理论支撑，并从人口、交通、经济与社会服务等维度提出了空间结构优化建议，为城市群空间结构优化及区域协调发展政策制定提供了依据。

Daily population mobility drives spatial restructuring and coordinated development of urban agglomerations. Using mobile signaling data of June 2022, this study examines the Central Yunnan Urban Agglomeration through complex network analysis and MGWR. Results show: 1) The mobility network features "mono-centric dominance, small-scale clustering, and large-scale dispersion, " with a core–periphery pattern and weak peripheral links, remaining in an early stage; 2) Talent, industry, and medical services positively affect mobility, especially in the north, while economic level, education, and transport distance exert negative effects, strengthening from north to south. These factors act at multiple spatial scales. The study clarifies the spatial logic of mobility in underdeveloped agglomerations and offers policy insights for optimizing structure and fostering coordinated regional development.