报告人：Prof. Haizhong Wang
时间：11月2日（星期五）上午9：00 - 11:00
题目：An Interdisciplinary Data-driven Agent-based Evacuation Modeling: A Human-centered Perspective
This report presents a multimodal evacuation simulation for a near-field tsunami through an agent-based modeling framework in Netlogo. The goals of this research are to investigate (1) how the varying decision time impacts the mortality rate, (2) how the choice of different modes of transportation (i.e., walking and automobile), and (3) how existence of vertical evacuation gates impacts the estimation of casualties. Using the city of Seaside, Oregon as a case study site, different individual decision-making time scales are included in the model to assess the mortality rate due to immediate evacuation right after initial earthquake or after a specified milling time. We conclude with a description of the challenges ahead in agent-based tsunami evacuation modeling and simulation, and the modeling of complex interactions between agents (i.e., pedestrian and car interactions) that would arise for a multi-hazard scenario for the Cascadia Subduction Zone.
Dr. Haizhong Wang is an Associate Professor at the Department of Civil & Construction Engineering at Oregon State University. Dr. Haizhong Wang conducts research in the areas of traffic flow modeling and simulation from both deterministic and stochastic perspectives, transportation system planning and travel behavior analysis, traffic system control and optimization, intelligent transportation system in particular the impacts of connected and autonomous vehicle on traffic operation and infrastructure management, emergency evacuation and disaster response in particular the evacuee decision-making behavior under emergent scenarios through agent-based modeling and simulation, and post-disaster transportation network resiliency and recovery problems.