■在这项研究中,我们旨在全面分析网格管理模式中风险防控机制的有效性,以防范社区风险。我们强调要彻底检查风险防控机制,加大城市社区风险管理力度,特别是在应对COVID-19等不可预见的疫情时。
案例研究被广泛认为是研究中国治理的最有效方法之一。在这项研究中,“岳鲁模型”作为一个说明性的例子,展示了网格化管理在社区风险治理中的应用和有效性。为了确保案例研究的有效性,必须坚持代表性原则。案件数据的收集涉及主要和次要来源的组合,补充信息是通过微信进行的后续调查获得的,电话,和其他手段,从而提高数据的全面性和准确性。
■我们的分析揭示了有关网格管理模式影响的重要发现,在管理过程中发挥“社会安全阀”的三重作用:(1)社区减压功能,(2)社区报警功能,(3)社区整合功能。此外,探索网格化管理机制在解决社区风险中的适应性,强调其有效性和广泛应用的潜力。
■这项研究的结果表明:首先,在大数据平台上建立不同部门之间共享的信息库至关重要。其次,应通过多个部门之间的协作努力,建立一个动态的政府公共信息内部网络。第三,实施定期(或定期)预警机制至关重要。最后,强烈建议建立一支高素质的电网管理人才队伍。我们的研究为加强社区风险治理提供了宝贵的见解。
UNASSIGNED: In this
study, we aim to provide a comprehensive analysis of the effectiveness of the risk prevention and control mechanism within the grid management model for community risk prevention. We emphasize the importance of thoroughly examining the risk prevention and control mechanism to enhance risk management efforts in urban communities, particularly in response to unforeseen outbreaks such as COVID-19.
UNASSIGNED: Case studies are widely acknowledged as one of the most effective approaches to examine governance in China. In this
study, the \"Yuelu Model\" serves as an illustrative example to demonstrate the application and effectiveness of grid management in community risk governance. To ensure the validity of the case
study, it is imperative to adhere to the principle of representativeness. The collection of case data involves a combination of primary and secondary sources, and supplementary information is obtained through follow-up investigations conducted via WeChat, telephone, and other means, thereby enhancing the comprehensiveness and accuracy of the data.
UNASSIGNED: Our analysis reveals significant findings regarding the impact of the grid management model, fulfilling a triple role as a \"Social Safety Valve\" in the management process: (1) Community stress reduction function, (2) Community alarm function, and (3) Community integration function. Furthermore, we explore the adaptability of the grid management mechanism in addressing community risks, highlighting its effectiveness and potential for broader application.
UNASSIGNED: The findings of this
study suggest that: Firstly, it is crucial to establish a shared information repository among different departments on a big data platform. Secondly, a dynamic government public information internal network should be established through collaborative efforts among multiple departments. Thirdly, implementing a regular (or periodic) early warning mechanism is essential. Lastly, the establishment of a high-quality talent team for power grid management is highly recommended. Our research provides valuable insights to enhance community risk governance.