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Title Smart city community governance system based on online and offline aggregation services
ID_Doc 37186
Authors Zhu, X; Chen, CC; Hu, YY
Title Smart city community governance system based on online and offline aggregation services
Year 2021
Published
DOI 10.1007/s12652-021-03451-y
Abstract This paper takes smart city as an example, combining with online and offline aggregation services to explore the possible way out of county community governance innovation. In this white paper, community governance of online and offline aggregate services depends on the various assets and functions of the community, acts in collaboration with community stakeholders, and prevents and resists contingencies. Defined as a community with the ability to self-organize, self-adapt, and self-heal Interference or disaster to achieve sustainable development. This paper puts forward the benefit evaluation method of community governance, which is used to evaluate the implementation effect of online and offline community governance system. Taking a county as an example, this paper analyzes the impact of the challenge and novelty of this model on urban construction. Research shows that in the previous community governance model, about 50% of the people think that the managers of all institutions related to public welfare should not take management as the purpose, and even nearly 70% of the respondents also stressed that these institutions should not be allowed to collect legal management fees or commission fees. At the same time, 40% of respondents admitted that they did not trust the quality of free services provided by public welfare agencies. The online and offline aggregate service modes adopted by the city not only work well in the city's economy, but also increase the city's GDP by 12%. This is 3.6% higher than in the previous mode. In addition, this model will accelerate the process of democratic construction and improve people's happiness index.
Author Keywords Online and offline aggregation services; Smart city; Community governance system; Big data technology
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000718695600001
WoS Category Computer Science, Artificial Intelligence; Computer Science, Information Systems; Telecommunications
Research Area Computer Science; Telecommunications
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