Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

November 29, 2021


Pages


DOI

Article

Modernisation of urban governance: An approach of ‘Blockchain + Big Data’

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Authors

Xiao-Yong Xiao Affiliation:
School of Economics, Wuhan Donghu University, Wuhan, Hubei, China, 430212; Business school, Wuchang University of Technology, Wuhan, Hubei, China, 430223
, Lin Jin Affiliation:
Department of Finance and Economics, Wuhan College, Wuhan, Hubei, China, 430212
, Faris Kateb Affiliation:
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
and Hooreya Mohamed Ahmed Aldeeb Affiliation:
Applied Science University, Kingdom of Bahrain


Abstract

Mathematics is a prerequisite for the development of blockchain technology. The deeply penetrated mathematical ideas support the establishment of the trust mechanism of the whole blockchain system, which makes the blockchain technology autonomous, decentralised, not so easy to tamper, open, anonymous and also possesses other characteristics. Due to these characteristics, the introduction of blockchain will greatly solve a series of problems faced by the quality and acquisition of big data in cities, and release more data vitality. Based on the perspective of chain blocks and big data fusion, this paper puts forward that data are the foundation of modern urban governance. Data management has become the key to modern urban governance. It puts forward that the building of a big data management system based on blockchain will strengthen the construction of the intelligent city and modernisation of urban governance capabilities.


Keywords

blockchain, big data, urban governance, modernisation, data-driven


Citation

Xiao, X., Jin, L., Kateb, F., & Aldeeb, H. M. A. (2021). Modernisation of urban governance: An approach of ‘blockchain + big data’. Applied Mathematics and Nonlinear Sciences, 6(2). https://doi.org/10.2478/amns.2021.2.00103
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