Intercity population flow is an important reflection of regional structure, which is gaining growing attention with the support of big data analytics: easy access to transportation data and location-based services data grants better insights into the potential attraction between cities and the actual movement of people. This study investigates the spatial structure of Hubei by coupling both aspects. Tencent positioning data is used to identify migrations instead of statistical population data; and AMAP road traffic data is introduced in building an improved gravity model where the distance between cities is defined in accordance with actual cost of travel. Results show that population flow and gravity strength is generally coherent despite spatial heterogenicity in the degree of coherence; moreover, temporal comparison confirms that population flow respond to high-speed transportation infrastructure, providing basis for pertinent measures in optimizing regional spatial structure.