Abstract: Based on big data from Gaode truck navigation, this study investigates the spatial characteristics and planning methodologies of the logistics network in the Wuhan Metropolitan Area. The findings reveal that the overall spatial pattern of logistics activities is hub-dominated, with geographical agglomeration driven by resource distribution. Specifically, heavy truck activities exhibit a pattern of concentration in core areas and dispersion toward peripheral industrial parks and port zones. In contrast, medium, small and micro-truck activities demonstrate a hierarchical distribution — anchored in core urban areas, showing clustered agglomeration in built-up zones of central cities, and showing fragmented dispersion in peripheral regions. Through clustering analysis, 122 functionally differentiated logistics spatial units were identified, some of which exhibit misalignment with current planning policies. Network analysis further uncovers a "Matthew effect" in logistics connectivity, identifies potential regional transport corridors in multiple directions, and measures significant disparities in internal linkage strength and cross-regional flow among secondary associated communities. To address spatial imbalances in resource allocation, lagging connectivity, and insufficient inter-cluster coordination within the freight logistics network, this paper proposes a strategic planning framework centered on hub enhancement, corridor development, and community reorganization. The framework outlines a spatial logistics structure comprising five facility types, seven corridors, and five communities, and offers three optimization pathways and actionable measures. The study provides a theoretical foundation for modern logistics development and spatial layout planning in China's metropolitan areas.