Mathematical and Technical Quantitative Methods for Risk Assessment in Public Crisis Management

The article shows that in crisis management, risks can be effectively analysed and managed by rational use of mathematical and technical methods. It presents two quantitative methods for risk assessment and a procedure for transferring the results to logistical social networks (LSNs). The need to use social logistical networks, where modern techniques can be applied, including the Internet of Things (IoT) or Machine-to-Machine (M2M) com-munication, enabling the collection of any amount of data to logistical social networks, is indicated. The article stresses that research on public crisis management must be interdisciplinary in nature, taking into account all as-pects of security management, including social, technical and economic issues. Modern methods of assessing the state and risk of a crisis situation of individual elements of the systems generate an increasing number of data, the collection, collection, processing and sharing of which requires ensuring information security and protecting the personal freedom of the individual.