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• W2898925412 abstract "The classical accident and disaster investigation process is centered around modeling the sequence of events that lead to failure. In the Big Data Era, such event-based analyses benefit from the diverse sources of accident-related data and powerful data analytics techniques. However, it is argued that a system-dynamics perspective is also crucial in understanding the dynamic evolution of complex accident and disaster systems. In this paper, the Integrated Event-Based Modeling and System-Dynamics Modeling (EBSD) Framework for Accident Investigation using Big Data Analytics is proposed, and a case study of the 2015 Tianjin Port Fire and Explosion is presented to demonstrate its potential application. The EBSD Framework provides assistance to investigators in extracting the key factors in the disaster and accident system through modeling and simulation, and thus have further implication in disaster and accident management." @default.
• W2898925412 created "2018-11-09" @default.
• W2898925412 creator A5048851271 @default.
• W2898925412 creator A5076409244 @default.
• W2898925412 date "2018-01-01" @default.
• W2898925412 modified "2023-09-27" @default.
• W2898925412 title "The Use of Event-Based Modeling and System-Dynamics Modeling in Accident and Disaster Investigation" @default.
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• W2898925412 doi "https://doi.org/10.1007/978-981-13-3149-7_8" @default.
• W2898925412 hasPublicationYear "2018" @default.
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