A large fraction of anthropogenic CO2 emissions comes from point sources such as power plants, petroleum refineries, and other large industrial facilities. Carbon capture, utilization, and storage (CCUS) is one of various strategies for carbon management that captures carbon dioxide emissions from point sources and either reuses or stores it. It is also an important component technology for regional low-carbon development. A mixed integer nonlinear programming (MINLP) model for carbon management network of regional CCUS system is proposed here for planning regional CCUS networks. The optimization objective is to minimize the total annual cost of the carbon management network (CMN). According to carbon life cycle metabolism analysis, region-wide source-sink models are developed. Various emissions point sources are considered. Alternative capture methods (pre-combustion capture, post-combustion capture, and oxy-combustion) and transportation using pipelines are included in the model. Four utilization sinks (greenhouse, urea production, methanol production, and enhanced oil recovery) are also considered. With the consideration of different regional carbon neutrality goals, potential utilization sites and CMN alternatives are investigated. The case in an assumed city in China is used to illustrate the optimization of regional CCUS schemes. For the given case study, the results show that the CMN and costs vary with CO2 reduction targets.