智库理论与实践2026，Vol.11Issue(2)：24-35,12.DOI:10.19318/j.cnki.issn.2096-1634.20250627.0005
技术治理视角下超大城市网格化管理的驱动机制研究
Research on the Driving Mechanisms of Grid Management in Megacities from the Perspective of Technological Governance:A Case Analysis of District P in Chengdu
摘要
Abstract
[Purpose/Significance]Focusing on the core issue of"from grid information collection to grass-roots governance collaboration",this study takes District P of Chengdu as a case to explore how to enhance the efficiency of grassroots governance in megacities by optimizing grid information collection and processing work-flows,thereby improving the capacity for grassroots information integration and collaborative processing.[Meth-od/Process]Using case analysis and in-depth interviews,and based on holistic governance theory,an analytical framework of"information collection and processing-information transmission and handling-information feedback and supervision"was constructed from three attribute levels:foundation,collaboration,and value.This framework was applied to conduct an in-depth analysis of the practical experience of District P's grid management in terms of its technological foundation,organizational operation,and closed-loop standardization.[Result/Con-clusion]The findings indicate that accurate and timely grid information collection,a scientific and standardized information transmission mechanism,and the efficient information integration and collaborative processing capa-bilities of comprehensive governance centers are key to promoting the shift from"experience-based governance"to"data-driven governance"at the grassroots level.Based on these findings,the governance experience of District P is summarized from four aspects:philosophy,system,mechanism,and safeguards,with the aim of providing useful references for improving the efficiency of grassroots governance in megacities.关键词
网格信息/流程优化/信息集成/基层治理Key words
grid information/process optimization/information integration/grassroots governance分类
社会科学引用本文复制引用
韩啸,王昱晨..技术治理视角下超大城市网格化管理的驱动机制研究[J].智库理论与实践,2026,11(2):24-35,12.基金项目
本文系国家社会科学基金重大项目"数字政府建设成效测度与评价的理论、方法及应用研究"(项目编号:23&ZD080)研究成果之一. （项目编号:23&ZD080）
