The role and interaction analysis of governance subjects in Big data-driven public security governance
Abstract
This study explores the impact of big data on public safety governance in the 21st century. Through literature review,
interviews and case analysis of the traffi c management system in A city, this paper describes the application of big data in public safety
governance, the role of governance subjects and their interaction mode. The results show that big data improves the real-time and accuracy
of public safety information, and promotes the interaction among governance subjects. At the same time, challenges such as data ownership
and access rights exist. Accordingly, relevant suggestions are put forward.
interviews and case analysis of the traffi c management system in A city, this paper describes the application of big data in public safety
governance, the role of governance subjects and their interaction mode. The results show that big data improves the real-time and accuracy
of public safety information, and promotes the interaction among governance subjects. At the same time, challenges such as data ownership
and access rights exist. Accordingly, relevant suggestions are put forward.
Keywords
big data; Public security governance; Main body of governance; Interactive mode
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[3] Ming Xia,Chuanjie Liu,Qi Wang. Research on Key technologies of multi-source heterogeneous data structured extraction for public security [J]. Digital
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Fund project: This paper is the research achievement of Anhui Philosophy and Social Science Planning Project (project number: AHSKY2021D36).
DOI: https://doi.org/10.18686/mcs.v5i5.2070
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