Development and Practice of Changzhou Grassroots Governance Platform from the Perspective of Digital-Physical Integration
- DOI
- 10.2991/978-94-6463-992-6_5How to use a DOI?
- Keywords
- Integration of digital and real; Changzhou grassroots governance platform; Development practice
- Abstract
This paper introduces the development and practice of the Changzhou grassroots governance platform from the perspective of the integration of digital and real-world. Based on the theoretical foundation of digital-real integration, the Changzhou grassroots governance platform integrates advanced technologies such as big data, Internet of Things, and artificial intelligence, achieving the optimized allocation and efficient utilization of governance resources. The development of the platform aims to address issues such as information asymmetry and dispersed resources in grassroots governance, enhancing governance efficiency. In practical applications, places like Zhenglu Town, Hongmei Street, and Qishuyan Street have achieved innovation and upgrading of governance methods through the platform, with a 15.3% increase in governance efficiency. It is hoped that the research in this paper will provide a useful reference for the development and practice of grassroots governance platforms in other regions.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xia Zhuang PY - 2026 DA - 2026/02/20 TI - Development and Practice of Changzhou Grassroots Governance Platform from the Perspective of Digital-Physical Integration BT - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025) PB - Atlantis Press SP - 29 EP - 34 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-992-6_5 DO - 10.2991/978-94-6463-992-6_5 ID - Zhuang2026 ER -