Research on Community Grid Management Mode Based on System Database Processing

Abstract

In the process of urbanization, living and working areas are increasing, and the population is also increasing, which makes community management more difficult and reduces the life quality of residents. In order to improve the quality of community management, this paper briefly introduced the concept of community grid management mode based on the system database and conducted a case study on Taocheng District, Hengshui City, Hebei Province. The local community grid management mode used in the area was introduced; moreover, the effectiveness of the community grid management mode was evaluated using the framework of the analytic hierarchy process. The results showed that with the full implementation and improvement of the community grid management mode, the efficiency, effectiveness, and benefits of the community management significantly improved.

Research on Optimization of Urban Community Grid Management--Taking Town F as an Example

“…Urban grid management to get the support of the people, in the final analysis, or to rely on the people in the daily work of security issues, neighborhood dispute resolution, etc., to further strengthen the publicity of the grid work, with the help of WeChat, microblogging, jitterbugging and other emerging Internet publicity platforms, to produce publicity products that are popular with everyone, through the setting of the grid director's mailbox, public opinion polls, online message boards and other Various forms of interactive columns, to enhance the transparency of community grid management work and the grid staff and residents to interact with the heat, so that the community [7] , the community people can understand the grid management, actively participate in the grid management, and constantly stimulate the people's spirit of mastery, for the grid management work of a series of problems that exist in the community in a timely manner to the community grid staff to reflect their own aspirations, and timely to the Staff advice, to help grid management staff targeted optimization of work methods and methods, and further enhance their work efficiency [8] .…”