Graduate Thesis Or Dissertation
 

An Interdisciplinary Agent-based Evacuation Modeling Framework: Seeking Convergence of Social, Natural, and Engineered Systems to Improve Life Safety in the Cascadia Subduction Zone

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/zc77sx61p

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  • Social scientists have studied people's responses to disasters for many decades, and behavioral commonalities and variations are summarized in different mental schemes/models in disaster studies. Integrating those findings from social science into evacuation simulation can improve simulation accuracy and eventually better support decision-making and disaster preparedness. However, this kind of integration is still rarely seen in the domain. To bridge this gap, this dissertation proposes an interdisciplinary framework to integrate the natural environment, the built environment, and human decisions, as well as evacuation logistics into an agent-based modeling (ABM) platform. This study implements this framework using empirical decision and behavior data collected through questionnaires and evacuation drills in tsunami scenarios for Cascadia Subduction Zone (CSZ). This integration enables the operationalization of the Protective Action Decision Model (PADM) in ABM and can serve as a decision-making and emergency planning tool for local agencies. To validate this model, this study compared the ABM results with ``Beat-the-Wave" model results for a community in the CSZ. The resulting similarities provide convergent validation of the two models. The proposed framework can serve as a practical guideline for future evacuation modeling studies that attempt to understand critical human responses to disasters of the real world in an interdisciplinary fashion.
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  • Pending Publication
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  • 2021-07-05 to 2023-08-06

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