Digital Twins for Knowledge Management During Earthquake Emergency

Abstract

The chaotic emergency environment can create obstacles that may complicate prompt and effective responses for a resilient emergency management. The provision of vital information related to health services, shelter, nutrition, and availability of infrastructure is of utmost importance. In the context of earthquake emergency, Knowledge Management (KM) encompasses various techniques and approaches for acquiring, storing, generating, assessing, and sharing knowledge for efficient and effective mobility of people, goods, and services. Digital Twins (DT) can serve as a platform for KM, addressing challenges in earthquake emergency action plans and facilitating information sharing during critical hours and in the aftermath of disasters, ensuring timely and informed decisions for the survival of victims. This paper presents an Earthquake Emergency Knowledge Management framework through DT, based on expert judgment, and the scientometric analysis and mapping to identify gaps in existing KM methods. The proposed conceptual framework aims to improve response time and facilitate KM during an earthquake emergency to meet the primary needs of victims for survival. However, it's important to recognize potential limitations, such as challenges in resource-constrained settings or areas lacking digital infrastructure. Future studies may further focus on the secondary emergency requirements for the days following the earthquake, addressing not only survival but also recovery needs.