Surviving the Big One

Name: Haizhong Wang
Affiliation: School of Civil and Construction Engineering
Phone: 5417378538
E-mail: wanghzhong@gmail.com
Website: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1563618
Knowledge Required: agent-based modeling and related programming experience in NetLogo or other types of programming languages such as Python.
Motivation: This project is largely motivated by the "The Really Big One": http://www.newyorker.com/magazine/2015/07/20/the-really-big-one and http://www.newyorker.com/tech/elements/how-to-stay-safe-when-the-big-one-comes that the Pacific Northwest is facing. We can not prevent the disaster but we can do the best we can to be prepared to survive this inevitable event.
Description: This project will develop fundamental understanding of how integrated social science and agent-based modeling approaches can improve life safety under threat of near-field tsunami hazards. The targeted hazard scenario is a magnitude 9.0 earthquake and tsunami from the Cascadia Subduction Zone, threatening communities along 1,000 miles of the US Pacific Northwest coastline. This project develops close collaboration with a number of organizations responsible for public safety during the response extreme natural hazards, including the Oregon Department of Transportation, Oregon Office of Emergency Management, Oregon Parks and Recreation, and Oregon Sea Grant. Social science data from diverse groups will contribute to a growing body of knowledge on evacuation decision-making. A collaboration with the Oregon Museum of Science of Industry (OMSI) will leverage the museum's ongoing activities, including those which reach underrepresented groups.
Objectives: The project integrates the disciplines of sociology with engineering to investigate multiple forms of tsunami information and its potential impact on evacuation decision-making by the general public and the unique professional community responsible for coastal visitor safety. The project objectives are (1) to identify the cognitive and social factors that influence multimodal evacuation decision-making behavior; (2) to utilize an Agent-Based Modeling framework to provide realistic/credible hypothetical scenarios for near-field tsunamis hazards; and (3) to determine the usability/acceptability of social science-informed agent-based modeling for understanding evacuation decision-making. This work will therefore improve understand of how decision-making affects life safety, with broad outreach to diverse audiences both to assess the feasibility of this approach and for purposes of outreach.

Deliverables: The project deliverables are codes, reports, and journal papers. Two papers have been published, and the team is working multiple papers right now as the project progresses. The student will have an opportunity to join a productive team to work on exciting research problems.

Mostafizi, Alireza and Wang, Haizhong and Cox, Dan and Cramer, Lori A. and Dong, Shangjia. "Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies," Natural Hazards, 2017, p. 1--26. doi:10.1007/s11069-017-2927-y

Haizhong Wang and Alireza Mostafizi and Lori A. Cramer and Dan Cox and Hyoungsu Park. "An agent-based model of a multimodal near-field tsunami evacuation: Decision-making and life safety," Transportation Research Part C: Emerging Technologies, v.64, 2016, p. 86 - 100. doi:https://doi.org/10.1016/j.trc.2015.11.010
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   D. Kevin McGrath
   Last modified: Thu Nov 16 11:32:03 2017