Abstract: Against the backdrop of global climate change and the accelerated implementation of China’s dual carbon goals, Carbon Capture, Utilization, and Storage (CCUS) technology has become a key pathway for deep decarbonization in high-emission industries, owing to its considerable mitigation potential and broad applicability. However, the spatial mismatch between widely dispersed stationary emission sources and geological storage sinks-concentrated mainly in specific sedimentary basins—remains a major barrier to large-scale CCUS deployment. To address this, multi-scale source-sink matching and the optimization of CO₂ transportation routes are essential for reducing system costs and advancing engineering implementation. This study takes Jiangsu Province as a case, focusing on representative industrial stationary emission sources and geological storage sinks, and establishes a multi-scale CCUS source–sink matching model that integrates oil and gas reservoirs, structural depressions, and basin-scale domains. By combining a GIS-based least-cost path approach with an enhanced pipeline network optimization strategy, a comprehensive regional analysis was conducted. The main findings are as follows: (1) By the end of 2023, 269 typical industrial stationary emission sources were identified in Jiangsu Province, with a total annual CO₂ emission of 6.26×10⁴ Mt. Emission scale and spatial distribution vary by industry. The power sector contributes the largest share, with power plants and steel facilities concentrated in the southern Yangtze River Delta and along the Yangtze River corridor, cement plants mainly located in southern Jiangsu, and ammonia synthesis plants displaying a relatively scattered distribution. (2) Deep saline aquifers, together with oil reservoirs in depressions such as B10, B11, and B6, exhibit substantial geological storage potential, estimated at about 5.87×10⁹ t and 7.28×10⁸ t, respectively. (3) A multi-scale source-sink matching model was constructed considering regional emission reduction needs and spatial distribution characteristics. Model simulations indicate that the theoretical pipeline lengths required at the oil and gas reservoir, depression, and basin scales are 238.9, 398, 3 873, and 4 100 km, respectively. Based on this, optimized transportation paths were obtained by integrating GIS-based least-cost routing with the modified savings method. After optimization, the required pipeline lengths at the oil and gas reservoir and depression scales were adjusted to 243.7 km and 426 km, respectively, while at the basin scale, the optimized pipeline lengths were 1 831 km for the Subei Basin and 2121 km for the Subei-South Yellow River Basin. These optimizations not only significantly lower construction costs but also yield transportation routes more consistent with geographical settings and engineering feasibility. The results provide theoretical and methodological support for building low-cost, adaptable CCUS transportation networks in the coastal regions of eastern China.