In a concentrated area of Chemical Industry Parks (CIPs), emergency relief efficiency is not only affected by the rescue capability of themselves, but also their relationships with other CIPs. Academic literature suggests the use of multiple networks such as transport network and information network, in the emergency process after unexpected events, but rarely integrates them ideally in practice. This paper utilizes the super network theory to propose a regional emergency scheduling model to bridge the logistic and relation among CIPs. The proposed super-network model is composed of resources flow network and relationship network that fill a gap of only considering emergency logistic supply chain. Therefore, the main problem is to how coordinate all the disaster relief actors including primary relief centers (PRC) local relief centers (LRC) and CIPs. The proposed model provides an optional answer regarding the optimal configuration (one-stage or two-stage), the optimal type, number and transportation direction of resources. We turn the optimization problem into a variational inequality problem and develop a modified projection algorithm to solve the problem and compare the performance under several disaster scenarios. The practicability of the model is proved by the result of the numerical example given.