Emergency resource allocation in chemical industrial parks, which mainly focuses on how to reasonably allocate and quickly deliver the emergency resources of nearby reserve points to the incident point, is the foundation of emergency and rescue for hazardous chemical accidents and is important to ensure the smooth implementation of the emergency and rescue plans. However, most studies concentrate on the single-objective optimization and the timeliness of emergency response but ignore the continuity of resource consumption. In this paper, a multi-objective emergency resource allocation model is first constructed in terms of multiple reserve points, multiple emergency resources, and single incident point. Then, the constraint conditions for the continuous consumption of emergency resources are deduced. Additionally, an algorithm for multi-objective emergency resource allocation in chemical industrial parks is developed on the basis of the non-dominated sorting genetic algorithm and a heuristic strategy. Finally, the validity of the proposed algorithm is verified by simulation experiments. The experimental results demonstrate that the proposed algorithm considers both the continuity and timeliness requirements of emergency response in chemical industrial parks and can provide the emergency and rescue for hazardous chemical accidents with more and better emergency resource allocation schemes.