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Paradigm for Urban Safety and Risk Management with Big Data

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Wireless Technology, Intelligent Network Technologies, Smart Services and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 258))

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Abstract

Risk management of urban public safety, as an important part of urban management, is crucial to the healthy development of cities. In recent years, with the rapid development of big data technologies, urban safety and risk management have also entered the era of big data. Obviously, in this context, it is urgent to reform the traditional risk management model and establish a new paradigm for urban public safety risk management based on big data technology. Firstly, we summarized basic theories related to urban safety and risk management from the aspects of disaster-bearing carrier and risk characteristics. On this basis, it puts forward the connotation of urban safety and risk management and expounds its current situation. Secondly, we analyze and summarize the opportunities and challenges of urban safety and risk management in the era of big data. Finally, the big data-driven paradigm for urban safety and risk management is proposed, and the policy recommendations for urban public security management construction based on this paradigm are given. Obviously, this study will provide theoretical and methodological guidance for the development and implementation of urban safety and risk management of China in the era of big data.

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Acknowledgements

This study is supported by National Key R&D Program of China (No. 2018YFC0809700), National Natural Science Foundation of China (No. 71904095), Beijing Natural Science Foundation (No. 9194027) and Basic Research Fund (2020JKF501).

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Jia, N., Zhang, T., Wang, S. (2022). Paradigm for Urban Safety and Risk Management with Big Data. In: Jain, L.C., Kountchev, R., Hu, B., Kountcheva, R. (eds) Wireless Technology, Intelligent Network Technologies, Smart Services and Applications. Smart Innovation, Systems and Technologies, vol 258. Springer, Singapore. https://doi.org/10.1007/978-981-16-5168-7_14

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  • DOI: https://doi.org/10.1007/978-981-16-5168-7_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5167-0

  • Online ISBN: 978-981-16-5168-7

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