Industrial park is a hub for various industrial activities. Industrial emissions are one of the main sources of carbon emissions. The reduction of carbon emissions is crucial to achieve carbon neutrality for industrial parks. This paper presents an automated approach to maximize the utilization of CO2 among different plants in industrial parks through carbon allocation network. The minimum target of external fresh CO2 is determined based on automated composite table algorithm (ACTA), which is then materialized with the detailed design of carbon allocation network. A case study with four scenarios were analyzed to systematically guide the carbon reduction process towards its carbon neutrality target. Direct utilization scenario refers to CO2 utilization between sources and sinks in the parks without any purification scheme. Sink manipulation and source reduction scenarios indicate that process parameter changes, equipment modifications and other measures in the sinks or sources lead to the reduction of CO2 demands or supplies. In the purification scenario, CO2 is purified to different concentrations to maximize its allocations among different plants. A case study based on chemical industrial park in Fuyang, China is presented to illustrate the approach. Four factories (coal-fired power, cement, ammonia, ethanol) were identified as carbon sources, while three others (urea, methanol, dimethyl ether) as carbon sinks. By implementing sink manipulation and source reduction, the fresh CO2 resources and CO2 emissions are effectively reduced to 205.25 t/h and 149.61 t/h, respectively. The result for purification scenario indicates that CO2 emissions can be decreased from 317.33 t/h to 105.72 t/h, with an overall reduction of 66.68 %, while the fresh carbon requirement is reduced from 357.41 t/h to 161.34 t/h. This work provides a useful tool for the utilization of excess CO2 within an industrial park.