Energy Use and Weatherization Practices: Applications for Agent-Based Modeling to Support Vulnerable Populations
This work surveyed residents of an economically disadvantaged community on their attitudes toward weatherization and their energy use behaviors. To support urban leaders making decisions to mitigate the effects of large-scale climate change, data-driven simulation models are being developed. To ensure that these models are equitable, the needs of all citizens must be included, especially those most vulnerable to the impacts of climate change. The results of this survey indicate that residents are taking steps to weatherize and conserve energy, but they are hindered by a lack of resources and knowledge of available assistance programs. These results are being applied to agent-based models (ABM) to model emergent community behavior. These models will be used to design decision support systems for city stakeholders.
This is a manuscript of a proceeding published as Stonewall, Jacklin, Wanyu Huang, Michael Dorneich, Caroline Krejci, Linda Shenk, and Ulrike Passe. "Energy use and weatherization practices: Applications for agent-based modeling to support vulnerable populations." In Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 676-680. DOI: 10.1177%2F1541931218621153. Posted with permission.