Corresponding Author

Yiyi Zhang


Vulnerability assessments are implemented to identify regions and groups at risk and factors that need to be addressed to reduce vulnerability. Existing assessments have allowed multidimensional factors to be examined in various settings and adopted complex models to simulate human-environment-weather interactions. However, these models are far less accessible than traditional models due to model abstraction and there has been limited research detailing a formalized way to simulate the interactions between rural households and external changes in response to a specific extreme weather event. To supplement applied efforts in vulnerability assessments and address the challenge in communicating agent-based models, this study proposes an integrated framework to examine dynamically winter storm vulnerability in farming communities and follows an elaborate protocol ODD (Overview, Design concepts, and Details) + 2D (Decision + Data) to present details of model data structure.



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