Information Systems Faculty Publications

Household Digital Twin for Storm Preparedness and Response

Document Type

Article

Publication Date

9-2026

Abstract

Advancements in computational technologies are reshaping the landscape of sustainable smart city planning, enabling data-driven approaches to environmental resilience. A key innovation in this space is the integration of Artificial Intelligence (AI), the Artificial Intelligence of Things (AIoT), and Urban Digital Twin (UDT) technologies. Building on these foundations, this study presents a Household Digital Twin (HDT) system designed to enhance storm preparedness and disaster response at the individual home level. By creating dynamic, virtual replicas of households, the HDT platform enables tailored simulations of hurricane scenarios, offering personalized guidance to families before, during, and after extreme weather events. These simulations model the effects of varying storm intensities on homes and nearby trees, helping homeowners, local governments, and insurance providers assess vulnerabilities, optimize emergency planning, and implement targeted mitigation strategies. Through its ability to deliver proactive, context-specific insights, the HDT system contributes to greater community resilience and supports broader goals in climate adaptation and smart urban infrastructure.

Comments

©2026 ISCAP (Information Systems and Computing Academic Professionals)

First Page

4

Last Page

16

Publication Title

Journal of Information Systems Applied Research

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