Public safety incidents happen suddenly, serious harm, often causing numerous losses of life and property. The containment of public safety incidents was significantly affected by the unbalanced distribution of emergency supplies, low coordinated transport efficiency, high costs, and the inability of non-profit organizations to handle the emergency supplies efficiently. Based on the experience of COVID-19 and Henan Flood, built a cloud platform for emergency supplies distribution to reduce the asymmetry of emergency logistics information, reduce the costs, and improve the efficiency of emergency supplies distribution. The proposed method uses a genetic algorithm with the monarch scheme to optimize the urban emergency logistics path. The numerical results for sample networks show that using the proposed platform reduces the integrated cost and transportation time, finds the optimal distribution path and has good stability.