Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management
作者：
Highlights：
• A paradigm, Disaster City Digital Twin, integrating AI for disaster management.
• Multimodal data collection, integration, and analytics for situational awareness.
• Gaming theoretical decision-making approach for learning behaviors of multi-actors.
• Dynamic network analysis to assess network resilience and relief performance.
摘要
•A paradigm, Disaster City Digital Twin, integrating AI for disaster management.•Multimodal data collection, integration, and analytics for situational awareness.•Gaming theoretical decision-making approach for learning behaviors of multi-actors.•Dynamic network analysis to assess network resilience and relief performance.
论文关键词：Digital twin,Machine learning,Information flow,Disaster management
论文评审过程：Received 4 March 2019, Revised 22 November 2019, Accepted 29 November 2019, Available online 27 December 2019, Version of Record 10 December 2020.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.102049
