Volume 19
Abstract: Advancements in computational technology and innovative models are reshaping sustainable smart city planning, supporting environmental sustainability goals through transformative data-driven strategies and practices. A notable advancement in this field is the integration of artificial intelligence (AI), the artificial intelligence of things (AIoT), and urban digital twin (UDT) technologies. Digital twin simulations, in particular, offer substantial potential for safeguarding lives and minimizing the impact of hurricanes on households. By creating a virtual replica of homes, families can receive tailored, proactive guidance specific to hurricane risks, enhancing preparedness and reducing hazards. This study presents a household digital twin (HDT) designed to model hazardous hurricane scenarios in advance, allowing more effective household disaster management. The platform fosters resilience by simulating the effects of various hurricane intensities on homes and trees, helping homeowners, local governments, and insurance providers assess risks and develop preventive strategies. Download this article: JISARA - V19 N3 Page 4.pdf Recommended Citation: Bonke, C., Sun, J., (2026). Household Digital Twin for Storm Preparedness and Response. Journal of Information Systems Applied Research and Analytics 19(3) pp 4-16. https://doi.org/10.62273/HSCA1671 | ||||||