Abstract
Humans have witnessed several tsunamis throughout their history with tremendous human, environmental and material damage. Vietnam, because of its special geographic location in Southeast Asia, might be affected by tsunamis. Although the risk of tsunami in Vietnam is low, it does exist. Therefore, people must be well prepared if a tsunami strikes. Minimizing the damage caused by a tsunami, both for humans and infrastructure, is the most important duty of the authorities and the scientists. The objective of our research is to evaluate and measure the tsunami impacts on citizens and tourists according to their awareness of the situation and moving strategies towards shelters. We follow the agent-based modeling and simulation (ABMS) approach and illustrate it through a case study applied to Da Nang city, Vietnam, using the NetLogo platform and geo-spatial information.
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Le, NTT., Nguyen, PAHC., Hanachi, C. (2021). Agent-Based Modeling and Simulation of Citizens Sheltering During a Tsunami: Application to Da Nang City in Vietnam. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_16
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