There is an increasing body of literature on understanding the process of evacuation, and it focuses both on people's behavior and emergency management. We need to consider aspects of interaction among people under nonotice disaster for planning with evacuation demand. This seminar examines the effect of social interaction on discrete choice during the network formation process. The primary objective is to evaluate influence on risk regarding from others in greater detail while considering how influencers and network structures affect one-to-one interactions. This talk examines an analytical framework for simultaneous evaluation of social interaction and social network formation. The framework is well suited to dynamic disaster situations because local interaction heavily influences human decision-making, and because network formation changes over time.

Junji Urata is an assistant professor in Department of Civil Engineering at University of Tokyo. His research interests include behavioral modeling, analytics of traffic demand, social interaction, dynamic programming, and high performance computing.