City Brain: A New Model of Urban Governance
Wei Liu (),
Yiduo Mei (),
Yazhong Ma (),
Weiling Wang (),
Fangda Hu () and
Dapeng Xu ()
Additional contact information
Wei Liu: Beijing Jiaotong University
Yiduo Mei: Zhongguancun Smart City Co. Ltd
Yazhong Ma: Zhongguancun Smart City Co. Ltd
Weiling Wang: China Electronic Information Industry Development Research Institute
Fangda Hu: Beijing Jiaotong University
Dapeng Xu: Zhongguancun Smart City Co. Ltd
A chapter in IEIS 2021, 2022, pp 107-115 from Springer
Abstract:
Abstract With China’s economic development from high growth to high-quality development, urbanization from 1.0 to 2.0, urban development from incremental construction to stock quality improvement and incremental structural adjustment, the focus of urban governance has also shifted from economic development to urban modernization. The modernization of urban governance is an important aspect of the country’s governance system and capabilities. Under the background of accelerating urbanization process and the continuous emergence of urban diseases, the topic of how to promote the modernization of urban governance has attracted wide attention. Based on this, this paper from the perspective of urban governance modernization, combined with the advantages of city brain in urban governance, explore the difficulties and pain points in urban governance, and further analyze how from urban governance concept, multi-city governance, and urban governance digitalization to improve the level of urban governance,drive the digital, intelligent, and modern development of urban governance.
Keywords: Modernization of urban governance; Haidian city brain; Urban governance community (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-16-8660-3_12
Ordering information: This item can be ordered from
http://www.springer.com/9789811686603
DOI: 10.1007/978-981-16-8660-3_12
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().