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In order to reduce the impact of public health emergencies on the normal life of residents, at the same time to prevent the secondary spread of diseases caused by improper methods in the management process. On the premise of reducing the overall operation cost as much as possible, based on the basic data such as the number of quarantinable population, the number of daily necessities distribution points, and transportation network of 9 administrative areas in Changchun during the epidemic isolation and prevention period in 2022, this paper uses the entropy weight method to score each community and set the number of delivery points, so as to judge whether the actual plan is reasonable. In order to further optimize, with the minimum service cost of all the selected delivery points and the premise of meeting the distribution demand, save as much as possible, reduce the number of sites, and minimize the site radius of each sorting point as the goal, the total number of selected delivery points should not exceed the set total. A multi-objective site selection planning model was established for constraints. Sensitivity analysis was performed on the number of sites to determine the optimal number of sites, and cluster analysis was used to obtain the optimal site selection coordinates and cell numbers corresponding to the drop points. As a result, the number of sites was greatly reduced and the efficiency of material distribution was improved. Considering that the less people flow in the context of the epidemic, the better, this paper also uses the improved k-means algorithm for the actual plan, and finally gets the following number of delivery points in each district: 168 in Erdao District, 53 in Jingyue District, 239 in Nanguan District, 292 in Kuancheng District, 303 in Chaoyang District, 25 in steam open district, 69 in economic open District, and 222 in Green Park.
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