治理研究 ›› 2025, Vol. 41 ›› Issue (4): 45-57.

• 数智社会治理专题 • 上一篇    下一篇

数据治理推动城市治理创新:理论依据、实践路径与作用机制

孟天广, 张渝西   

  • 收稿日期:2025-02-18 出版日期:2025-07-15 发布日期:2025-08-28
  • 通讯作者: 张渝西
  • 作者简介:张渝西,清华大学社会科学学院助理研究员。
    孟天广,清华大学社会科学学院长聘教授、清华大学计算社会科学与国家治理实验室副主任。
  • 基金资助:
    北京高校卓越青年科学家计划“超大城市数字政府构建与智能化治理体系研究”(JWZQ20240202003);清华大学“水木学者”计划“新信息技术与中国‘政民互动’模式的变革”(2023SM167);中移信息系统集成有限公司课题“数字治理顶层设计研究项目”(CMXX-202400540)

Data Governance Promoting Innovation in Urban Governance: Theoretical basis, Practical Pathways and Mechanisms

Meng Tianguang, Zhang Yuxi   

  • Received:2025-02-18 Published:2025-07-15 Online:2025-08-28
  • Contact: Zhang Yuxi

摘要:

随着数据成为数字时代城市治理的关键资源,以发挥数据要素价值为核心目标的数据治理也成为城市治理现代化的关键基础。既有研究较少从城市治理的总体性视角切入,分析数据治理的理论内涵及其对城市治理现代化的推动机制。文章从“面向数据、基于数据、经由数据”三个层面来认识城市治理过程中的数据治理,通过理论分析和实践提炼,梳理出城市时空数据、运行数据、服务数据、管理数据四类城市治理数据要素,从理论上阐明数据治理推动城市治理的依据,如何在实践中不断提升城市感知、理解、决策、精准和协同等治理能力,进而通过推动城市治理理念变革、治理能力提升、治理资源升级和治理机制创新,为城市治理提供了新动力、新机制。

关键词: 数据治理, 数据资源, 城市治理, 治理创新

Abstract:

Data is a key resource for urban governance in the digital era. Data governance focused on unleashing the value of data elements is the foundation for the modernization of urban governance. The current literature lacks an analysis of the theoretical connotation of data governance and its support for modernization of urban governance from the holistic perspective of urban governance. This paper explores data governance from three aspects: date-based, data-oriented, and data-processed. Through theoretical analysis and a practical summary, this paper identifies four types of data elements in urban governance: urban spatiotemporal data, operational data, service data, and management data. It also elucidates the theoretical basis of how data governance can promote urban governance, as well as the practical pathways to promote its capabilities in perception, understanding, decision-making precision, and coordination. Data governance provides new impetus and mechanisms for urban governance by promoting positive change in urban governance concepts, enhanced governance capacity, improvement of governance resources, and innovation in governance mechanisms.

Key words: data governance, data resources, urban governance, governance innovation

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