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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References
Hall, S.W., Carolla, M.A., Deason, J.P.: The use of imagery in environmental disaster preparedness and response. Fedl. Fac. Environ. J. 16(4), 65–72 (2010)
Kiekens, R.M., Maltha, J.C., van’t Hof, M.A., et al.: Panel perception of change in facial aesthetics following orthodontic treatment in adolescents. Eur. J. Orthod. 30(2), 141–146 (2008)
Wu, C., Jia, N.: Research on safety humanology connotation and basic principles. J. Saf. Environ. 6, 153–158 (2016)
Comfort, L.K., Springer, C.G.: Emergency management research and practice in public administration: emergence, evolution, expansion, and future directions. Public Adm. Rev. 4, 539–547 (2016)
Wang, Y.: The development of wireless personnel positioning in internet of things based on ZigBee and sensors. Int. J. Digit. Content Technol. Appl. 6(12), 47–54 (2012)
Bouchrika, I., Carter, J.N., Nixon, M.S.: Towards automated visual surveillance using gait for identity recognition and tracking across multiple non-intersecting cameras. Multimed. Tools Appl. 75(2), 1201–1221 (2016)
Mao, G., Fidan, B., Anderson, B.D.O.: Wireless sensor network localization techniques. Comput. Netw. 51(1), 2529–2553 (2007)
Geng, H., Wu, Z., Ji, H., et al.: Risk zonation and assessment to flood disaster in Jiading District of Shanghai. J. Catastrophol. 30(1), 96–101 (2015)
Deng, Q., Liu, Y., Zhang, H., et al.: A new crowdsourcing model to assess disaster using microblog data in typhoon Haiyan. Nat. Hazards J. 84(2), 1–16 (2016)
Zhang, W.Y., Hai, Y.U., Zhang, F., et al.: Personnel positioning system of underground coal mines based on the ZigBee technology. J. Hefei Univ. Technol. 30(9), 1087–1090 (2007)
Hashem, I.A.T., Chang, V., Anuar, N.B., et al.: The role of big data in smart city. Int. J. Inf. Manage. 36(5), 748–758 (2016)
Troy, D.A., Carson, A., Vanderbeek, J., et al.: Enhancing community-based disaster preparedness with information technology. Disasters 32(1), 149–165 (2010)
Zhang, F., Zhou, Z., Xu, W., et al.: Cloud manufacturing resource service platform based on intelligent perception network using fiber optic sensing. Adv. Inf. Sci. Serv. Sci. 4(4), 366–372 (2012)
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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