Abstract: Along with the intensification of urbanization in China, smart city and collaborative governance are becoming the novel paradigm of development. In the meantime, popularization of information technology and smart end devices makes it possible for civilians to widely participate in social public management. However, traditional channels of communication between people and government and the community management platform architecture have failed to meet the increasingly growing scale of data and the social reality that civilians are broadly engaging in urban governance. Hence, the grid community case classification and distribution model based on the Bayesian decision is proposed in this study. Firstly, the model adopted uses the theory of Bayesian decision to analyze and classify the social management case information that civilians have handed in. Then, involving the location information as the cases report, it ensures the certain social grid where exactly it is. Consequently, cases are to be delivered to the relevant departments of the social grid to which it belongs in terms of the classification results. K-fold cross-validation results show that the case distribution model proposed in the study has high availability and accuracy.

Key words: grid community, Bayesian decision, big data, case distribution