With the growing prevalence of information technologies and spatial flows, network analyses have become one of the key approaches to studying interurban mobility. However, conventional models often overlook geographic contexts by simplifying flows into abstract nodes and edges. In this study, we leverage the 2018 Tencent mobile positioning data to construct an integrated “point–line–area” framework that can connect flow space with geographic space. A novel SCᵢ index is introduced to identify influential source-convergences and detect points with high-intensity radiation-like flow aggregation. Key flow corridors are extracted by using directional and distance similarity, and regional flow patterns are analyzed through nested mapping and trend surface techniques. Results not only reveal significant source-convergences in flow space, with parallel flow aggregation corridors dominated by east–west flows, but also measure the spatial evolution of flow intensity patterns across subregions. Findings highlight that, from the perspective of flow space, some planned urban agglomeration areas have yet to form multiple radiation centers, and that the key to balanced regional development lies in fostering diverse interregional connections, such as corridors.
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