Industrial chemical emergencies, such as leaks, fires, and explosions, are major risks that affect life, property, the environment, and infrastructure security, especially in areas with high factory density. This research aims to develop a spatial emergency response station placement model by applying the Maximal Covering Location Problem (MCLP) model in two case studies: (1) the placement of the Industrial Emergency Response Center (I-ERC) using factory location data in Rayong Province, and (2) the placement of the Chemical Emergency Response Station (CERS) using historical chemical accidents. The results of the study compared the locations of 21 existing EMS stations and found that the MCLP model can significantly increase the coverage of the risk areas. In the I-ERC case, the coverage level increased from 87.09% to 99.46%, and in the CERS case, the risk points can be covered 100% with an appropriate number of stations. The results of this study can be applied to support strategic planning for emergency response systems in high-risk industrial areas.