Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

September 3, 2024


Pages


DOI

Article

A study of innovative models of community governance under digital social policy

Check for updates


Authors

Jie Bai Affiliation:
Hengshui University, Hengshui, Hebei, 053000, China.


Abstract

Intelligent communities are based on the Internet, using vehicles, face recognition, surveillance video structuring, and other technologies to integrate the community’s government services, grid-based management, and convenient services. They also design a grid-based intelligent community service management platform to support all kinds of events closely related to residents’ lives and community management. Through relevant questionnaires, statistics, and generalizations, a comprehensive understanding of security management before and after the digital transformation of a community can be obtained. It has been observed after analysis that the detection rate of criminal cases in the public area monitoring range and the community has reached as high as 98.2% and 99.4%, respectively, following the digital transformation. There is a significant positive correlation between the dimensions of institutional remodeling, convenient services, public affairs, community governance performance, and community governance capacity. Residents are highly satisfied with grid-based community governance after digital transformation, with mean scores exceeding 3.0, according to further analysis. This paper provides a theoretical basis for the government, community, and public to promote the application of digital reform in community governance on the ground.


Keywords

Face recognition, Surveillance video structuring, Grid-based management, Digital transformation, 93C62


Citation

Bai, J. (2024). A study of innovative models of community governance under digital social policy. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2519

Published by: Engineering Journals

Engineering Journals Logo