Abstract: Location, allocation and transportation scheduling problem of resources are always involved in emergency management decision. The integration of these decision problems with consideration of the whole workflow’s time control is essential for the application of emergency management theory. An emergency workflow net constrained by resources and uncertain time is proposed to illustrate the time sequence of rescue activities and the corresponding usage of resources during emergency rescue with multiple departments. The workflow net consists of three types of places (i.e. state places, activity places, and resource places) with different time properties (i.e. visible, static, and dynamic time windows). Taking the total cost of resources, transportation and related penalty as the objective, an integrated optimization of emergency resource allocation and route planning is modeled with consideration of the maximal duration time of the whole emergency rescue. A hybrid optimization algorithm is used to solve the integrated model. The resource allocation strategies are coded and iteratively updated by Genetic Algorithm while the route planning strategies are optimized by Particle Swarm Optimization considering the time constraints derived from the emergency workflow net.