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With the continuous increase of large-scale activities, it is easy to occur serious stampedes. This study focuses on sporting venues to study stampede accidents in large-scale activities for quantitative and dynamic risk analysis. A comprehensive risk analysis model for stampede accidents is established containing 96 nodes that take into account human error, site failure, environmental impact, and management deficiency, and it is applicable for most sports venues as the relevant inputs can be consistent with reality. First, the bow-tie method is applied for risk identification, and the catastrophe theory is introduced to better handle the expert system and statistics to establish the Bayesian network. Then, scenario analysis is implemented to dynamically predict the consequences, and sensitivity analysis is conducted to quantitatively identify the critical factors of the stampedes. It is identified that the failure of emergency lighting and indicating signs contribute more to the occurrence of a stampede, and the effective emergency measures are critical to reducing the casualties and economic losses. This paper could quantitatively assess the stampede risks and find out the critical hazards of stampede accidents in detail to provide technical and managerial support for most sports venues. [ABSTRACT FROM AUTHOR]

• A risk analysis method of terrorist attacks on port's LNG Storage tanks is presented. • This article conducted the risk analysis from multiple dimensions. • Different scenarios are used to analyze potential consequences. In recent years, with the increasing demand for liquefied natural gas (LNG) worldwide, a large amount of LNG is stored, processed, and transported in ports. The port's LNG storage tanks may become a hot target for terrorist attacks because the failure or destruction of these facilities will put markets, cities, and the environment at high risk. This article presents a new risk analysis method of terrorist attacks on the port's LNG Storage tanks. The steps are as follows: (1) Identify risk factors from a multidimensional perspective. (2) Analyze the risk using the Bayesian network and event tree. (3) Evaluate and quantify the accident consequence. (4) Use knowledge graph to store risk knowledge. We verify the effectiveness of the method through case studies. The defence capabilities of the police and different prevention strategies were studied. The results show significant differences in accident consequence between different defensive and emergency response forces. We also conducted nine scenario analysis, which could provide a theoretical basis and method support for public security and urban risk management departments' security prevention decisions. [ABSTRACT FROM AUTHOR]