基于贝叶斯决策的网格社区案卷分发模型

Grid community case classification and distribution model based on Bayesian decision

随着我国城市化进程不断深入,智慧城市与合作治理正日益成为发展的新范式,而信息技术和智能终端设备的普及应用也使得全民参与社会公共管理成为可能。传统的群众与政府间沟通渠道和社会管理平台架构已难以满足不断增长的数据规模和群众广泛参与城市治理的社会现实。因此,提出了一种基于贝叶斯决策的网格社区案卷分发模型。模型首先运用贝叶斯决策理论对群众上报社管案卷信息进行分析并归类,然后结合案卷上报地理位置信息确定其所在社区网格,最后根据分类结果将案卷分发至所属社区网格的相应职能部门。K-fold交叉验证结果表明,提出的案卷分发模型具有较好的可用性和准确性。

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.