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Local Government Governance Path Optimization Based on Multisource Big Data

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  • Xiaolun Liu
  • Zaoli Yang

Abstract

With the development of Internet technology, multisource big data can collect and analyze information so as to provide people with a good vision. In the process of governance, local governments will have problems of incomplete information. With the development of big data, multisource and big data will have advanced nature. Therefore, based on multisource big data, this paper analyzes the multisource big data algorithm in detail and establishes a local government governance model based on multisource big data. Then, the proposed model is applied to the local government governance process of Beijing, Shanghai, Chongqing, and Tianjin, and the local governance situation of each city is compared and analyzed so as to provide some reference for the optimization of the local government governance path. The experimental results show that the local governance model based on multisource big data can optimize the local government governance path and point out the direction for the local government governance path.

Suggested Citation

  • Xiaolun Liu & Zaoli Yang, 2022. "Local Government Governance Path Optimization Based on Multisource Big Data," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, June.
    • Handle: RePEc:hin:jnlmpe:1941558
    DOI: 10.1155/2022/1941558
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