Worldwide straits are crucial pathways for global trade and energy transportation, occupying key strategic positions. Therefore, this study utilizes automatic identification system (AIS) data and the structure of the maritime transportation network formed by ship navigation, combined with geospatial big data analysis, to fully consider factors including the natural navigational conditions of routes, the support capabilities of surrounding ports, the geographic advantages of neighboring countries, and the distribution of the shipping network importance in the CCAS evaluation model. To assess the navigability of maritime routes, a data-driven model was constructed using three layers of this model. Empirical analyses were conducted on 22 major routes along China's coast and the “Maritime Silk Road”. This method has significantly enhanced the accuracy and reliability of route assessments, and the improved assessment model demonstrated better navigational conditions in the South China Sea routes, identifying internal factors hindering the development of these critical maritime routes. The findings of this study provide a comprehensive assessment and analysis framework for global maritime transportation, offering crucial reference information for key stakeholders, including policy makers, port and berth infrastructure investors, maritime economists, and large shipping companies. Additionally, the study's results can be practically applied in the actual shipping trade, emphasizing the role of our framework in facilitating effective decision-making and strategic planning within the maritime industry.