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RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents
Proceedings of the AAAI Conference on Artificial IntelligenceClimate change is driving more frequent and severe disasters, putting people and infrastructure at risk. Protecting communities requires models that capture both natural disasters dynamics and how people behave under extreme conditions. This demo presents RESPOND, a multi-agent LLM-enhanced platform that jointly simulates natural hazards and human ...
Roman Sultimov +8 more
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Traffic simulation for natural disaster preparedness: case study of Dadar, Mumbai
International Journal of Disaster Resilience in the Built EnvironmentPurpose With rapid urbanisation and increased rainfall leading to frequent flooding, this research aims to focus on analysing road network performance during disruptions and to assess the effectiveness of various evacuation strategies.
Piyush Lalwani +4 more
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Development of coastal natural disaster simulation platform using 3D-GIS
Coastal regions are increasingly exposed to natural disasters intensified by climate change, including storm surges, wave overtopping, and extreme sea levels. These hazards often occur as compound events, causing severe impacts on coastal infrastructure and communities.Hak-Soo Lim +3 more
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Data-driven simulation of urban human mobility constrained by natural disasters
2016 Winter Simulation Conference (WSC), 2016Qi Wang 0077, John E. Taylor 0001
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Scientific challenges of research on natural hazards and disaster risk
Geography and Sustainability, 2021Changdong Li +2 more
exaly
Understanding Natural Disasters Through Participatory Simulations: A Pilot Study
2022 IEEE Integrated STEM Education Conference (ISEC), 2022openaire +1 more source
Application of ChatGPT in natural disaster prevention and reduction
Natural Hazards Research, 2023Chong Xu, Xiwei Xu, Zhiwen Xue
exaly
Agent-based simulations as an early-warning system for natural disasters
2017Naqvi, Syed Ali Asjad, Rehm, Miriam
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The impact of natural disaster risk on the return of agricultural futures
Journal of Asian Economics, 2023Yiuman Tse, Qingfu Liu
exaly