Evolution and governance mechanism of urban public safety risk in big data era

doi:10.16265/j.cnki.issn1003-3033.2017.07.027

Abstract

Abstract: To improve the governance level of urban public safety risks and reduce social losses, an analysis framework was developed to investigate evolution and governance mechanism of risk in big data era. Evolution modes of urban public safety risk were established from the perspective of point, chain, network, and super-network on the basis of analyzing characteristics and classifications of risks. An evolution model was built for urban public safety risks according to preliminary hazard analysis in big data era. An innovative governance mode of urban public safety risks was proposed from the integrated perspectives of both feedforward control and feedback response. Results indicate that the proposed evolution model of urban public safety risks is helpful to predict accurately the trend of status of risk elements over time, develop the targeted governance measures, and design governance mode of risk from an integrated viewpoint.

Key words: big data, urban public safety risk, feedforward control, evolutionary model, governance mode

CLC Number:

X921

CAO Cejun, LI Congdong, WANG Yu, QU Ting, ZHANG Wei. Evolution and governance mechanism of urban public safety risk in big data era[J]. China Safety Science Journal, 2017, 27(7): 151-156.

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